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Glossary of VSA attributes |
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This Glossary alphabetically lists all attributes used in the VSAv20240329 database(s) held in the VSA. If you would like to have more information about the schema tables please use the VSAv20240329 Schema Browser (other Browser versions). |
| A | B | C | D | E | F | G | H | I | J | K | L | M |
| N | O | P | Q | R | S | T | U | V | W | X | Y | Z |
S | ||||||||
|---|---|---|---|---|---|---|---|---|
| Name | Schema Table | Database | Description | Type | Length | Unit | Default Value | Unified Content Descriptor |
| S14 | nvssSource | NVSS | Integrated 1.4GHz flux density of radio source | real | 4 | mJy | phot.flux.density;em.radio.750-1500MHz | |
| S145Mag | combo17CDFSSource | COMBO17 | Absolute restframe magnitude in 145/10 (synthetic narrow rectangular passband at 140-150 nm calculated from redshifted best_fit template, only calculated for objects classified as quasars) | real | 4 | mag | ||
| S280Mag | combo17CDFSSource | COMBO17 | Absolute restframe magnitude in 280/40 (calculated from redshifted best_fit template, depending on redshift and filter extrapolation outside the COMBO-17 filter set can be necessary, only calculated for objects classified as galaxies; synthetic UV continuum rectangular passband at 260-300 nm) | real | 4 | mag | ||
| s_hp | hipparcos_new_reduction | GAIADR1 | Scatter in Hipparcos magnitudes | float | 8 | mag | stat.error;phot.mag;em.opt | |
| sadtAreaID | MultiframeEsoKeys | SHARKSv20210222 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | SHARKSv20210421 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | ULTRAVISTADR4 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSDR1 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSDR2 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSDR3 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSDR4 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSDR5 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSDR6 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSv20120926 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSv20130417 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSv20140409 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSv20150108 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSv20160114 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSv20160507 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSv20170630 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSv20180419 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSv20201209 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VHSv20231101 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIDEODR2 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIDEODR3 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIDEODR4 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIDEODR5 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIDEOv20111208 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIKINGDR2 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIKINGDR3 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIKINGDR4 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIKINGv20110714 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIKINGv20111019 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIKINGv20130417 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIKINGv20140402 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIKINGv20150421 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIKINGv20151230 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIKINGv20160406 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIKINGv20161202 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VIKINGv20170715 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCDEEPv20230713 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCDR1 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCDR2 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCDR3 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCDR4 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCDR5 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20110816 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20110909 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20120126 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20121128 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20130304 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20130805 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20140428 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20140903 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20150309 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20151218 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20160311 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20160822 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20170109 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20170411 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20171101 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20180702 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20181120 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20191212 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20210708 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20230816 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VMCv20240226 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VSAQC | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VVVDR1 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VVVDR2 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VVVDR5 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VVVXDR1 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtAreaID | MultiframeEsoKeys | VVVv20110718 | SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} | int | 4 | -99999999 | ||
| sadtMaxJit | MultiframeEsoKeys | SHARKSv20210222 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | SHARKSv20210421 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | ULTRAVISTADR4 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSDR1 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSDR2 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSDR3 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSDR4 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSDR5 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSDR6 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSv20120926 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSv20130417 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSv20140409 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSv20150108 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSv20160114 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSv20160507 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSv20170630 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSv20180419 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSv20201209 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VHSv20231101 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIDEODR2 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIDEODR3 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIDEODR4 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIDEODR5 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIDEOv20111208 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIKINGDR2 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIKINGDR3 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIKINGDR4 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIKINGv20110714 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIKINGv20111019 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIKINGv20130417 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIKINGv20140402 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIKINGv20150421 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIKINGv20151230 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIKINGv20160406 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIKINGv20161202 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VIKINGv20170715 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCDEEPv20230713 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCDR1 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCDR2 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCDR3 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCDR4 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCDR5 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20110816 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20110909 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20120126 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20121128 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20130304 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20130805 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20140428 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20140903 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20150309 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20151218 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20160311 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20160822 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20170109 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20170411 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20171101 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20180702 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20181120 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20191212 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20210708 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20230816 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VMCv20240226 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VSAQC | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VVVDR1 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VVVDR2 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VVVDR5 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VVVXDR1 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtMaxJit | MultiframeEsoKeys | VVVv20110718 | SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | SHARKSv20210222 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | SHARKSv20210421 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | ULTRAVISTADR4 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSDR1 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSDR2 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSDR3 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSDR4 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSDR5 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSDR6 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSv20120926 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSv20130417 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSv20140409 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSv20150108 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSv20160114 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSv20160507 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSv20170630 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSv20180419 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSv20201209 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VHSv20231101 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIDEODR2 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIDEODR3 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIDEODR4 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIDEODR5 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIDEOv20111208 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIKINGDR2 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIKINGDR3 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIKINGDR4 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIKINGv20110714 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIKINGv20111019 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIKINGv20130417 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIKINGv20140402 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIKINGv20150421 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIKINGv20151230 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIKINGv20160406 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIKINGv20161202 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VIKINGv20170715 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCDEEPv20230713 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCDR1 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCDR2 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCDR3 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCDR4 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCDR5 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20110816 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20110909 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20120126 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20121128 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20130304 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20130805 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20140428 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20140903 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20150309 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20151218 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20160311 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20160822 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20170109 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20170411 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20171101 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20180702 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20181120 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20191212 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20210708 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20230816 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VMCv20240226 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VSAQC | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VVVDR1 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VVVDR2 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VVVDR5 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VVVXDR1 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapX | MultiframeEsoKeys | VVVv20110718 | SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | SHARKSv20210222 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | SHARKSv20210421 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | ULTRAVISTADR4 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSDR1 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSDR2 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSDR3 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSDR4 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSDR5 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSDR6 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSv20120926 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSv20130417 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSv20140409 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSv20150108 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSv20160114 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSv20160507 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSv20170630 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSv20180419 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSv20201209 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VHSv20231101 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIDEODR2 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIDEODR3 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIDEODR4 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIDEODR5 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIDEOv20111208 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIKINGDR2 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIKINGDR3 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIKINGDR4 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIKINGv20110714 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIKINGv20111019 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIKINGv20130417 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIKINGv20140402 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIKINGv20150421 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIKINGv20151230 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIKINGv20160406 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIKINGv20161202 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VIKINGv20170715 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCDEEPv20230713 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCDR1 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCDR2 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCDR3 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCDR4 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCDR5 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20110816 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20110909 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20120126 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20121128 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20130304 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20130805 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20140428 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20140903 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20150309 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20151218 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20160311 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20160822 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20170109 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20170411 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20171101 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20180702 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20181120 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20191212 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20210708 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20230816 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VMCv20240226 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VSAQC | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VVVDR1 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VVVDR2 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VVVDR5 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VVVXDR1 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtOverlapY | MultiframeEsoKeys | VVVv20110718 | SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} | real | 4 | arcsec | -0.9999995e9 | |
| sadtPattern | MultiframeEsoKeys | SHARKSv20210222 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | SHARKSv20210421 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | ULTRAVISTADR4 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSDR1 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSDR2 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSDR3 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSDR4 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSDR5 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSDR6 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSv20120926 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSv20130417 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSv20140409 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSv20150108 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSv20160114 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSv20160507 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSv20170630 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSv20180419 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSv20201209 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VHSv20231101 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIDEODR2 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIDEODR3 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIDEODR4 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIDEODR5 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIDEOv20111208 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIKINGDR2 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIKINGDR3 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIKINGDR4 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIKINGv20110714 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIKINGv20111019 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIKINGv20130417 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIKINGv20140402 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIKINGv20150421 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIKINGv20151230 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIKINGv20160406 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIKINGv20161202 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VIKINGv20170715 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCDEEPv20230713 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCDR1 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCDR2 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCDR3 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCDR4 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCDR5 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20110816 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20110909 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20120126 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20121128 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20130304 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20130805 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20140428 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20140903 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20150309 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20151218 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20160311 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20160822 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20170109 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20170411 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20171101 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20180702 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20181120 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20191212 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20210708 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20230816 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VMCv20240226 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VSAQC | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VVVDR1 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VVVDR2 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VVVDR5 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VVVXDR1 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtPattern | MultiframeEsoKeys | VVVv20110718 | SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | SHARKSv20210222 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | SHARKSv20210421 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | ULTRAVISTADR4 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSDR1 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSDR2 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSDR3 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSDR4 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSDR5 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSDR6 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSv20120926 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSv20130417 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSv20140409 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSv20150108 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSv20160114 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSv20160507 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSv20170630 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSv20180419 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSv20201209 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VHSv20231101 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIDEODR2 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIDEODR3 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIDEODR4 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIDEODR5 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIDEOv20111208 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIKINGDR2 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIKINGDR3 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIKINGDR4 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIKINGv20110714 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIKINGv20111019 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIKINGv20130417 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIKINGv20140402 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIKINGv20150421 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIKINGv20151230 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIKINGv20160406 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIKINGv20161202 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VIKINGv20170715 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCDEEPv20230713 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCDR1 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCDR2 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCDR3 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCDR4 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCDR5 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20110816 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20110909 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20120126 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20121128 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20130304 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20130805 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20140428 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20140903 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20150309 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20151218 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20160311 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20160822 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20170109 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20170411 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20171101 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20180702 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20181120 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20191212 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20210708 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20230816 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VMCv20240226 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VSAQC | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VVVDR1 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VVVDR2 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VVVDR5 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VVVXDR1 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtSurveyID | MultiframeEsoKeys | VVVv20110718 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| sadtTileDec | MultiframeEsoKeys | SHARKSv20210222 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | SHARKSv20210421 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | ULTRAVISTADR4 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSDR1 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSDR2 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSDR3 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSDR4 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSDR5 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSDR6 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSv20120926 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSv20130417 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSv20140409 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSv20150108 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSv20160114 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSv20160507 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSv20170630 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSv20180419 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSv20201209 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VHSv20231101 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIDEODR2 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIDEODR3 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIDEODR4 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIDEODR5 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIDEOv20111208 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIKINGDR2 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIKINGDR3 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIKINGDR4 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIKINGv20110714 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIKINGv20111019 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIKINGv20130417 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIKINGv20140402 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIKINGv20150421 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIKINGv20151230 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIKINGv20160406 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIKINGv20161202 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VIKINGv20170715 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCDEEPv20230713 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCDR1 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCDR2 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCDR3 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCDR4 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCDR5 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20110816 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20110909 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20120126 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20121128 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20130304 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20130805 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20140428 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20140903 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20150309 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20151218 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20160311 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20160822 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20170109 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20170411 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20171101 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20180702 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20181120 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20191212 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20210708 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20230816 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VMCv20240226 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VSAQC | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VVVDR1 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VVVDR2 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VVVDR5 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VVVXDR1 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileDec | MultiframeEsoKeys | VVVv20110718 | SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} | real | 4 | DDMMSS.TTT | -0.9999995e9 | |
| sadtTileID | MultiframeEsoKeys | SHARKSv20210222 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | SHARKSv20210421 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | ULTRAVISTADR4 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSDR1 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSDR2 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSDR3 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSDR4 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSDR5 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSDR6 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSv20120926 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSv20130417 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSv20140409 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSv20150108 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSv20160114 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSv20160507 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSv20170630 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSv20180419 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSv20201209 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VHSv20231101 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIDEODR2 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIDEODR3 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIDEODR4 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIDEODR5 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIDEOv20111208 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIKINGDR2 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIKINGDR3 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIKINGDR4 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIKINGv20110714 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIKINGv20111019 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIKINGv20130417 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIKINGv20140402 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIKINGv20150421 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIKINGv20151230 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIKINGv20160406 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIKINGv20161202 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VIKINGv20170715 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCDEEPv20230713 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCDR1 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCDR2 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCDR3 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCDR4 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCDR5 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20110816 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20110909 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20120126 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20121128 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20130304 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20130805 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20140428 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20140903 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20150309 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20151218 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20160311 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20160822 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20170109 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20170411 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20171101 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20180702 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20181120 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20191212 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20210708 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20230816 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VMCv20240226 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VSAQC | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VVVDR1 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VVVDR2 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VVVDR5 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VVVXDR1 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileID | MultiframeEsoKeys | VVVv20110718 | SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} | varchar | 64 | NONE | ||
| sadtTileOffAngle | MultiframeEsoKeys | SHARKSv20210222 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | SHARKSv20210421 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | ULTRAVISTADR4 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSDR1 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSDR2 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSDR3 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSDR4 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSDR5 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSDR6 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSv20120926 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSv20130417 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSv20140409 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSv20150108 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSv20160114 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSv20160507 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSv20170630 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSv20180419 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSv20201209 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VHSv20231101 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIDEODR2 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIDEODR3 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIDEODR4 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIDEODR5 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIDEOv20111208 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIKINGDR2 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIKINGDR3 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIKINGDR4 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIKINGv20110714 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIKINGv20111019 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIKINGv20130417 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIKINGv20140402 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIKINGv20150421 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIKINGv20151230 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIKINGv20160406 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIKINGv20161202 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VIKINGv20170715 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCDEEPv20230713 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCDR1 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCDR2 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCDR3 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCDR4 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCDR5 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20110816 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20110909 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20120126 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20121128 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20130304 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20130805 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20140428 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20140903 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20150309 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20151218 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20160311 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20160822 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20170109 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20170411 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20171101 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20180702 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20181120 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20191212 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20210708 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20230816 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VMCv20240226 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VSAQC | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VVVDR1 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VVVDR2 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VVVDR5 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VVVXDR1 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileOffAngle | MultiframeEsoKeys | VVVv20110718 | SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} | real | 4 | deg | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | SHARKSv20210222 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | SHARKSv20210421 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | ULTRAVISTADR4 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSDR1 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSDR2 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSDR3 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSDR4 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSDR5 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSDR6 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSv20120926 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSv20130417 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSv20140409 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSv20150108 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSv20160114 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSv20160507 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSv20170630 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSv20180419 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSv20201209 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VHSv20231101 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIDEODR2 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIDEODR3 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIDEODR4 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIDEODR5 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIDEOv20111208 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIKINGDR2 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIKINGDR3 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIKINGDR4 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIKINGv20110714 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIKINGv20111019 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIKINGv20130417 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIKINGv20140402 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIKINGv20150421 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIKINGv20151230 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIKINGv20160406 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIKINGv20161202 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VIKINGv20170715 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCDEEPv20230713 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCDR1 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCDR2 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCDR3 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCDR4 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCDR5 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20110816 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20110909 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20120126 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20121128 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20130304 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20130805 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20140428 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20140903 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20150309 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20151218 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20160311 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20160822 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20170109 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20170411 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20171101 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20180702 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20181120 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20191212 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20210708 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20230816 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VMCv20240226 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VSAQC | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VVVDR1 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VVVDR2 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VVVDR5 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VVVXDR1 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| sadtTileRa | MultiframeEsoKeys | VVVv20110718 | SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} | real | 4 | HHMMSS.TTT | -0.9999995e9 | |
| satnum | allwise_sc | WISE | Minimum sample at which saturation occurs in each band. Four character string, one character per band, that indicates the minimum SUTR sample in which any pixel in the profile-fitting area in all of the single-exposure images used to characterize this source was flagged as having reached the saturation level in the on-board WISE payload processing. If no pixels in a given band are flagged as saturated, the value for that band is "0". | varchar | 4 | |||
| satnum | wise_allskysc | WISE | Minimum sample at which saturation occurs in each band. Four character string, one character per band, that indicates the minimum SUTR sample in which any pixel in the profile-fitting area in all of the single-exposure images used to characterize this source was flagged as having reached the saturation level in the on-board WISE payload processing. If no pixels in a given band are flagged as saturated, the value for that band is "0". |
char | 4 | |||
| satnum | wise_prelimsc | WISE | Minimum sample at which saturation occurs in each band Four character string, one character per band, that indicates the minimum SUTR sample in which any pixel in the profile-fitting area in all of the single-exposure images used to characterize this source was flagged as having reached the saturation level in the on-board WISE payload processing. If no pixels in a given band are flagged as saturated, the value for that band is "0". |
char | 4 | |||
| saturatCorr | sharksDetection | SHARKSv20210222 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | sharksDetection | SHARKSv20210421 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | ultravistaDetection, ultravistaMapRemeasurement | ULTRAVISTADR4 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSDR1 | saturation correction | real | 4 | 0.0 | ||
| saturatCorr | vhsDetection | VHSDR2 | saturation correction | real | 4 | 0.0 | ||
| saturatCorr | vhsDetection | VHSDR3 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSDR4 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSDR5 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSDR6 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSv20120926 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSv20130417 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSv20140409 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSv20150108 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSv20160114 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSv20160507 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSv20170630 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSv20180419 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSv20201209 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vhsDetection | VHSv20231101 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | videoDetection | VIDEODR2 | saturation correction | real | 4 | 0.0 | ||
| saturatCorr | videoDetection | VIDEODR3 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | videoDetection | VIDEODR4 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | videoDetection | VIDEODR5 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | videoDetection | VIDEOv20111208 | saturation correction | real | 4 | 0.0 | ||
| saturatCorr | vikingDetection | VIKINGDR2 | saturation correction | real | 4 | 0.0 | ||
| saturatCorr | vikingDetection | VIKINGDR3 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vikingDetection | VIKINGDR4 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vikingDetection | VIKINGv20110714 | saturation correction | real | 4 | 0.0 | ||
| saturatCorr | vikingDetection | VIKINGv20111019 | saturation correction | real | 4 | 0.0 | ||
| saturatCorr | vikingDetection | VIKINGv20130417 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vikingDetection | VIKINGv20140402 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vikingDetection | VIKINGv20150421 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vikingDetection | VIKINGv20151230 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vikingDetection | VIKINGv20160406 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vikingDetection | VIKINGv20161202 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vikingDetection | VIKINGv20170715 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vikingMapRemeasurement | VIKINGZYSELJv20160909 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vikingMapRemeasurement | VIKINGZYSELJv20170124 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCDR1 | saturation correction | real | 4 | 0.0 | ||
| saturatCorr | vmcDetection | VMCDR2 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCDR3 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCDR4 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCDR5 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20110816 | saturation correction | real | 4 | 0.0 | ||
| saturatCorr | vmcDetection | VMCv20110909 | saturation correction | real | 4 | 0.0 | ||
| saturatCorr | vmcDetection | VMCv20120126 | saturation correction | real | 4 | 0.0 | ||
| saturatCorr | vmcDetection | VMCv20121128 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20130304 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20130805 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20140428 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20140903 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20150309 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20151218 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20160311 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20160822 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20170109 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20170411 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20171101 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20180702 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20181120 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20191212 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20210708 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20230816 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcDetection | VMCv20240226 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vmcdeepDetection | VMCDEEPv20230713 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vvvDetection | VVVDR1 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vvvDetection | VVVDR2 | saturation correction | real | 4 | 0.0 | stat.param | |
| saturatCorr | vvvDetection, vvvDetectionPawPrints, vvvDetectionTiles | VVVDR5 | saturation correction | real | 4 | 0.0 | stat.param | |
| SC_CHI2PROB | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0 | XMM | The Chi² probability (based on the null hypothesis) that the unique source SRCID as detected by any of the observations is constant, that is, the minimum value of the EPIC probabilities in each detection, EP_CHI2PROB, is given. | real | 4 | |||
| SC_CHI2PROB | xmm3dr4 | XMM | The Chi² probability (based on the null hypothesis) that the unique source SRCID as detected by any of the observations is constant, that is, the minimum value of the EPIC probabilities in each detection, EP_CHI2PROB, is given. | float | 8 | |||
| SC_DEC | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean Declination in degrees (J2000) of all the detections of the source SRCID (see DEC) weighted by the positional errors POSERR. | float | 8 | degrees | ||
| SC_DET_ML | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The total band detection likelihood of the source SRCID is the maximum of the likelihoods of all detections of this source (EP_8_DET_ML). | real | 4 | |||
| SC_DR_FIRST | twoxmmi_dr3_v1_0 | XMM | This flag indicates in which catalogue in the 2XMM catalogue series (starting from 2XMM) this unique source first appeared. The flag is DR1 for 2XMM, DR2 for 2XMMi and DR3 for the present 2XMMi-DR3 catalogue. | int | 4 | |||
| SC_DR_LAST | twoxmmi_dr3_v1_0 | XMM | This flag indicates in which catalogue in the 2XMM catalogue series (starting from 2XMM) the parameters of this unique source were last updated (e.g. due to the inclusion of one or more new detections which can add to, or even split, the source). The flag is DR1 for 2XMM, DR2 for 2XMMi and DR3 for the present 2XMMi-DR3 catalogue. | int | 4 | |||
| SC_EP_1_FLUX | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean band 1 flux (0.2 - 0.5 keV) of all the detections of the source SRCID (see EP_1_FLUX) weighted by the errors (EP_1_FLUX_ERR), in erg/cm2/s. | real | 4 | erg/cm**2/s | ||
| SC_EP_1_FLUX_ERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | Error on the weighted mean band 1 flux in SC_EP_1_FLUX. | real | 4 | erg/cm**2/s | ||
| SC_EP_2_FLUX | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean band 2 flux (0.5 - 1.0 keV) of all the detections of the source SRCID (see EP_2_FLUX) weighted by the errors (EP_2_FLUX_ERR), in erg/cm2/s. | real | 4 | erg/cm**2/s | ||
| SC_EP_2_FLUX_ERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | Error on the weighted mean band 2 flux in SC_EP_2_FLUX. | real | 4 | erg/cm**2/s | ||
| SC_EP_3_FLUX | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean band 3 flux (1.0 - 2.0 keV) of all the detections of the source SRCID (see EP_3_FLUX) weighted by the errors (EP_3_FLUX_ERR), in erg/cm2/s. | real | 4 | erg/cm**2/s | ||
| SC_EP_3_FLUX_ERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | Error on the weighted mean band 3 flux in SC_EP_3_FLUX. | real | 4 | erg/cm**2/s | ||
| SC_EP_4_FLUX | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean band 4 flux (2.0 - 4.5 keV) of all the detections of the source SRCID (see EP_4_FLUX) weighted by the errors (EP_4_FLUX_ERR), in erg/cm2/s. | real | 4 | erg/cm**2/s | ||
| SC_EP_4_FLUX_ERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | Error on the weighted mean band 4 flux in SC_EP_4_FLUX. | real | 4 | erg/cm**2/s | ||
| SC_EP_5_FLUX | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean band 5 flux (4.5 - 12 keV) of all the detections of the source SRCID (see EP_5_FLUX) weighted by the errors (EP_5_FLUX_ERR), in erg/cm2/s. | real | 4 | erg/cm**2/s | ||
| SC_EP_5_FLUX_ERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | Error on the weighted mean band 5 flux in SC_EP_5_FLUX. | real | 4 | erg/cm**2/s | ||
| SC_EP_8_FLUX | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean total band flux (0.2 - 12 keV) of all the detections of the source SRCID (see EP_8_FLUX) weighted by the errors (EP_8_FLUX_ERR), in erg/cm2/s. | real | 4 | erg/cm**2/s | ||
| SC_EP_8_FLUX_ERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | Error on the weighted mean total band flux in SC_EP_8_FLUX. | real | 4 | erg/cm**2/s | ||
| SC_EP_8_FMAX | xmm3dr4 | XMM | The maximum EPIC band 8 flux (EP_8_FLUX) amongst any of the constituent detections of the unique source. | real | 4 | erg/cm**2/s | ||
| SC_EP_8_FMAX_ERR | xmm3dr4 | XMM | The error on the maximum EPIC band 8 flux (EP_8_FLUX_ERR) amongst any of the constituent detections of the unique source. | real | 4 | erg/cm**2/s | ||
| SC_EP_8_FMIN | xmm3dr4 | XMM | The minimum EPIC band 8 flux (EP_8_FLUX) amongst any of the constituent detections of the unique source. | real | 4 | erg/cm**2/s | ||
| SC_EP_8_FMIN_ERR | xmm3dr4 | XMM | The error on the minimum EPIC band 8 flux (EP_8_FLUX_ERR) amongst any of the constituent detections of the unique source. | real | 4 | erg/cm**2/s | ||
| SC_EP_9_FLUX | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean band 9 flux (0.5 - 4.5 keV) of all the detections of the source SRCID (see EP_9_FLUX) weighted by the errors (EP_9_FLUX_ERR), in erg/cm2/s. | real | 4 | erg/cm**2/s | ||
| SC_EP_9_FLUX_ERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | Error on the weighted mean band 9 flux in SC_EP_9_FLUX. | real | 4 | erg/cm**2/s | ||
| SC_EXT_ML | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The total band detection likelihood of the extended source SRCID is the average of the extent likelihoods of all detections of this source (EP_EXTENT_ML). | real | 4 | |||
| SC_EXTENT | twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The total band extent of the source SRCID is the weighted average of the EPIC extents of all detections of this source (EP_EXTENT). | real | 4 | arcsec | ||
| SC_FVAR | xmm3dr4 | XMM | The fractional excess variance of the unique source. It is the value corresponding to the exposure and instrument that shows the lowest probability of being constant (i.e. it is the PN_FVAR, M1_FVAR or M2_FVAR value corresponding to EP_CHI2PROB, SC_CHI2PROB). | float | 8 | |||
| SC_FVARERR | xmm3dr4 | XMM | The error on the fractional excess variance of the unique source. | float | 8 | |||
| SC_HR1 | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean hardness ratio of the bands 1 and 2 of all the detections of the source SRCID (EP_HR1) weighted by the errors(EP_HR1_ERR). | real | 4 | |||
| SC_HR1_ERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | Error on the weighted mean hardness ratio in SC_HR1. | real | 4 | |||
| SC_HR2 | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean hardness ratio of the bands 2 and 3 of all the detections of the source SRCID (EP_HR2) weighted by the errors(EP_HR2_ERR). | real | 4 | |||
| SC_HR2_ERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | Error on the weighted mean hardness ratio in SC_HR2. | real | 4 | |||
| SC_HR3 | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean hardness ratio of the bands 3 and 4 of all the detections of the source SRCID (EP_HR3) weighted by the errors(EP_HR3_ERR). | real | 4 | |||
| SC_HR3_ERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | Error on the weighted mean hardness ratio in SC_HR3. | real | 4 | |||
| SC_HR4 | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean hardness ratio of the bands 4 and 5 of all the detections of the source SRCID (EP_HR4) weighted by the errors(EP_HR4_ERR). | real | 4 | |||
| SC_HR4_ERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | Error on the weighted mean hardness ratio in SC_HR4. | real | 4 | |||
| SC_POSERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The error of the weighted mean position given in SC_RA and SC_DEC in arcseconds. | real | 4 | arcsec | ||
| SC_RA | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The mean Right Ascension in degrees (J2000) of all the detections of the source SRCID (see RA) weighted by the positional errors POSERR. | float | 8 | degrees | ||
| SC_SUM_FLAG | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0 | XMM | The summary flag for the unique source SRCID is taken to be the worst flag of all detections of this source (SUM_FLAG). | int | 4 | |||
| SC_SUM_FLAG | xmm3dr4 | XMM | The summary flag for the unique source SRCID is taken to be the worst flag of all detections of this source (SUM_FLAG). | smallint | 2 | |||
| SC_VAR_FLAG | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0 | XMM | The variability flag for the unique source SRCID is set to VAR_FLAG of the most variable detection of this source. | varchar | 5 | |||
| SC_VAR_FLAG | xmm3dr4 | XMM | The variability flag for the unique source SRCID is set to VAR_FLAG of the most variable detection of this source (0=False, 1=True). | bit | 1 | |||
| scan | twomass_psc | TWOMASS | The nightly scan number in which the source was detected. | smallint | 2 | meta.number | ||
| scan | twomass_scn | TWOMASS | Scan number (unique within date). | smallint | 2 | meta.number | ||
| scan | twomass_sixx2_scn | TWOMASS | scan number (unique within date) | smallint | 2 | |||
| scan | twomass_xsc | TWOMASS | scan number (unique within date). | smallint | 2 | meta.number | ||
| scan_direction_mean_k1 | gaia_source | GAIAEDR3 | Mean position angle of scan directions across the source | real | 4 | degrees | pos.posAng;stat.mean | |
| scan_direction_mean_k1 | gaia_source, tgas_source | GAIADR1 | Mean position angle of scan directions across the source | real | 4 | degrees | ||
| scan_direction_mean_k2 | gaia_source | GAIAEDR3 | Mean position angle of scan directions across the source | real | 4 | degrees | pos.posAng;stat.mean | |
| scan_direction_mean_k2 | gaia_source, tgas_source | GAIADR1 | Mean position angle of scan directions across the source | real | 4 | degrees | ||
| scan_direction_mean_k3 | gaia_source | GAIAEDR3 | Mean position angle of scan directions across the source | real | 4 | degrees | pos.posAng;stat.mean | |
| scan_direction_mean_k3 | gaia_source, tgas_source | GAIADR1 | Mean position angle of scan directions across the source | real | 4 | degrees | ||
| scan_direction_mean_k4 | gaia_source | GAIAEDR3 | Mean position angle of scan directions across the source | real | 4 | degrees | pos.posAng;stat.mean | |
| scan_direction_mean_k4 | gaia_source, tgas_source | GAIADR1 | Mean position angle of scan directions across the source | real | 4 | degrees | ||
| scan_direction_strength_k1 | gaia_source | GAIAEDR3 | Degree of concentration of scan directions across the source | real | 4 | stat.value | ||
| scan_direction_strength_k1 | gaia_source, tgas_source | GAIADR1 | Degree of concentration of scan directions across the source | real | 4 | |||
| scan_direction_strength_k2 | gaia_source | GAIAEDR3 | Degree of concentration of scan directions across the source | real | 4 | stat.value | ||
| scan_direction_strength_k2 | gaia_source, tgas_source | GAIADR1 | Degree of concentration of scan directions across the source | real | 4 | |||
| scan_direction_strength_k3 | gaia_source | GAIAEDR3 | Degree of concentration of scan directions across the source | real | 4 | stat.value | ||
| scan_direction_strength_k3 | gaia_source, tgas_source | GAIADR1 | Degree of concentration of scan directions across the source | real | 4 | |||
| scan_direction_strength_k4 | gaia_source | GAIAEDR3 | Degree of concentration of scan directions across the source | real | 4 | stat.value | ||
| scan_direction_strength_k4 | gaia_source, tgas_source | GAIADR1 | Degree of concentration of scan directions across the source | real | 4 | |||
| scan_key | twomass_psc | TWOMASS | Unique identification number of the record in the Scan Information Table that corresponds to the survey scan in which this source was detected. | int | 4 | meta.id | ||
| scan_key | twomass_scn | TWOMASS | the unique identification number for this scan. | int | 4 | meta.id | ||
| scan_key | twomass_sixx2_xsc | TWOMASS | key to scan data record in "scan DB" | int | 4 | |||
| scan_key | twomass_xsc | TWOMASS | key to scan data record in "scan DB". | int | 4 | meta.id | ||
| scosID | twompzPhotoz | TWOMPZ | SuperCOSMOS Source table (objID) {image primary HDU keyword: SCOS_objID} | bigint | 8 | -99999999 | meta.id | |
| scosID | wiseScosPhotoz, wiseScosPhotozRejects | WISExSCOSPZ | SuperCOSMOS Source table (objID) {image primary HDU keyword: objID} | bigint | 8 | -99999999 | meta.id | |
| scosID | wiseScosSvm | WISExSCOSPZ | SuperCOSMOS Source table (objID) {image primary HDU keyword: scos_objID} | bigint | 8 | -99999999 | meta.id | |
| sd | twomass_scn | TWOMASS | Scanning direction: "n" = north-going, "s" = south-going. | varchar | 1 | pos.posAng | ||
| sd | twomass_sixx2_scn | TWOMASS | direction of scan -- north/south-bound (n/s) | varchar | 1 | |||
| sdet | twomass_sixx2_psc, twomass_sixx2_xsc | TWOMASS | # of scans in which src was detected in >=1 band | smallint | 2 | |||
| SDSS_CAMCOL | mgcBrightSpec | MGC | SDSS camera column | int | 4 | |||
| SDSS_CLASS | mgcBrightSpec | MGC | MGC translation of SDSS_TYPE | smallint | 2 | |||
| SDSS_DEC | mgcBrightSpec | MGC | SDSS object declination in deg (J2000) | float | 8 | |||
| SDSS_EXTINC_G | mgcBrightSpec | MGC | SDSS Galactic extinction correction in mag | real | 4 | |||
| SDSS_EXTINC_I | mgcBrightSpec | MGC | SDSS Galactic extinction correction in mag | real | 4 | |||
| SDSS_EXTINC_R | mgcBrightSpec | MGC | SDSS Galactic extinction correction in mag | real | 4 | |||
| SDSS_EXTINC_U | mgcBrightSpec | MGC | SDSS Galactic extinction correction in mag | real | 4 | |||
| SDSS_EXTINC_Z | mgcBrightSpec | MGC | SDSS Galactic extinction correction in mag | real | 4 | |||
| SDSS_FIELD | mgcBrightSpec | MGC | SDSS field number | int | 4 | |||
| SDSS_MODMAG_G | mgcBrightSpec | MGC | SDSS extinction corrected model magnitude | real | 4 | |||
| SDSS_MODMAG_I | mgcBrightSpec | MGC | SDSS extinction corrected model magnitude | real | 4 | |||
| SDSS_MODMAG_R | mgcBrightSpec | MGC | SDSS extinction corrected model magnitude | real | 4 | |||
| SDSS_MODMAG_U | mgcBrightSpec | MGC | SDSS extinction corrected model magnitude | real | 4 | |||
| SDSS_MODMAG_Z | mgcBrightSpec | MGC | SDSS extinction corrected model magnitude | real | 4 | |||
| SDSS_N | mgcBrightSpec | MGC | Number of SDSS objects matched to MGC object | int | 4 | |||
| SDSS_OBJID | mgcBrightSpec | MGC | SDSS PhotoObject ID | bigint | 8 | |||
| SDSS_PETMAG_G | mgcBrightSpec | MGC | SDSS extinction corrected Petrosian magnitude | real | 4 | |||
| SDSS_PETMAG_I | mgcBrightSpec | MGC | SDSS extinction corrected Petrosian magnitude | real | 4 | |||
| SDSS_PETMAG_R | mgcBrightSpec | MGC | SDSS extinction corrected Petrosian magnitude | real | 4 | |||
| SDSS_PETMAG_U | mgcBrightSpec | MGC | SDSS extinction corrected Petrosian magnitude | real | 4 | |||
| SDSS_PETMAG_Z | mgcBrightSpec | MGC | SDSS extinction corrected Petrosian magnitude | real | 4 | |||
| SDSS_PETR50_G | mgcBrightSpec | MGC | SDSS radius containing 50% Petrosian flux in arcsec | real | 4 | |||
| SDSS_PETR50_I | mgcBrightSpec | MGC | SDSS radius containing 50% Petrosian flux in arcsec | real | 4 | |||
| SDSS_PETR50_R | mgcBrightSpec | MGC | SDSS radius containing 50% Petrosian flux in arcsec | real | 4 | |||
| SDSS_PETR50_U | mgcBrightSpec | MGC | SDSS radius containing 50% Petrosian flux in arcsec | real | 4 | |||
| SDSS_PETR50_Z | mgcBrightSpec | MGC | SDSS radius containing 50% Petrosian flux in arcsec | real | 4 | |||
| SDSS_PSFMAG_G | mgcBrightSpec | MGC | SDSS extinction corrected PSF magnitude | real | 4 | |||
| SDSS_PSFMAG_I | mgcBrightSpec | MGC | SDSS extinction corrected PSF magnitude | real | 4 | |||
| SDSS_PSFMAG_R | mgcBrightSpec | MGC | SDSS extinction corrected PSF magnitude | real | 4 | |||
| SDSS_PSFMAG_U | mgcBrightSpec | MGC | SDSS extinction corrected PSF magnitude | real | 4 | |||
| SDSS_PSFMAG_Z | mgcBrightSpec | MGC | SDSS extinction corrected PSF magnitude | real | 4 | |||
| SDSS_RA | mgcBrightSpec | MGC | SDSS object right ascension in deg (J2000) | float | 8 | |||
| SDSS_RERUN | mgcBrightSpec | MGC | SDSS rerun number | int | 4 | |||
| SDSS_RUN | mgcBrightSpec | MGC | SDSS run number | int | 4 | |||
| SDSS_SPCLASS | mgcBrightSpec | MGC | MGC translation of SDSS_SPECCLASS | smallint | 2 | |||
| SDSS_SPECCLASS | mgcBrightSpec | MGC | SDSS spectroscopic classification | smallint | 2 | |||
| SDSS_TYPE | mgcBrightSpec | MGC | SDSS morphological classification | smallint | 2 | |||
| SDSS_Z | mgcBrightSpec | MGC | SDSS redshift | real | 4 | |||
| SDSS_ZQUAL | mgcBrightSpec | MGC | SDSS redshift quality | tinyint | 1 | |||
| sdssClass | first08Jul16Source, firstSource12Feb16 | FIRST | morphological classification in SDSS DR6 (s=stellar, g=nonstellar/galaxy) | varchar | 1 | |||
| sdssMag | first08Jul16Source, firstSource12Feb16 | FIRST | SDSS i magnitude | real | 4 | mag | ||
| sdssMatches | first08Jul16Source | FIRST | number of matches within a fiducial radius (8 arcsec) with SDSS DR6 | int | 4 | |||
| sdssMatches | firstSource12Feb16 | FIRST | number of matches within a fiducial radius (8 arcsec) with SDSS DR6 | smallint | 2 | |||
| sdssPrimary | ultravistaSourceXDR13PhotoObj, ultravistaSourceXDR13PhotoObjAll | ULTRAVISTADR4 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vhsSourceXDR13PhotoObj | VHSv20201209 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vhsSourceXDR13PhotoObj | VHSv20231101 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vhsSourceXDR13PhotoObj, vhsSourceXDR13PhotoObjAll, vhsSourceXDR7PhotoObj, vhsSourceXDR7PhotoObjAll, vhsSourceXStripe82PhotoObjAll | VHSv20180419 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | videoSourceXStripe82PhotoObjAll | VIDEODR2 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | videoSourceXStripe82PhotoObjAll | VIDEODR3 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | videoSourceXStripe82PhotoObjAll | VIDEODR4 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | videoSourceXStripe82PhotoObjAll | VIDEODR5 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | videoSourceXStripe82PhotoObjAll | VIDEOv20100513 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | videoSourceXStripe82PhotoObjAll | VIDEOv20111208 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vikingSourceXDR7PhotoObj | VIKINGDR3 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vikingSourceXDR7PhotoObj | VIKINGDR4 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vikingSourceXDR7PhotoObj | VIKINGv20110714 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vikingSourceXDR7PhotoObj | VIKINGv20111019 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vikingSourceXDR7PhotoObj | VIKINGv20130417 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vikingSourceXDR7PhotoObj | VIKINGv20140402 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vikingSourceXDR7PhotoObj | VIKINGv20150421 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vikingSourceXDR7PhotoObj | VIKINGv20151230 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vikingSourceXDR7PhotoObj | VIKINGv20160406 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssPrimary | vikingSourceXDR7PhotoObj, vikingSourceXDR7PhotoObjAll, vikingSourceXStripe82PhotoObjAll | VIKINGDR2 | SDSS flag for neighbour being primary (1) or secondary (0) | tinyint | 1 | 255 | meta.code | |
| sdssSep | first08Jul16Source, firstSource12Feb16 | FIRST | separation of the nearest match in SDSS DR6 from the FIRST position | real | 4 | arcsec | ||
| sdssType | ultravistaSourceXDR13PhotoObj, ultravistaSourceXDR13PhotoObjAll | ULTRAVISTADR4 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vhsSourceXDR13PhotoObj | VHSv20201209 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vhsSourceXDR13PhotoObj | VHSv20231101 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vhsSourceXDR13PhotoObj, vhsSourceXDR13PhotoObjAll, vhsSourceXDR7PhotoObj, vhsSourceXDR7PhotoObjAll, vhsSourceXStripe82PhotoObjAll | VHSv20180419 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | videoSourceXStripe82PhotoObjAll | VIDEODR2 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | videoSourceXStripe82PhotoObjAll | VIDEODR3 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | videoSourceXStripe82PhotoObjAll | VIDEODR4 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | videoSourceXStripe82PhotoObjAll | VIDEODR5 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | videoSourceXStripe82PhotoObjAll | VIDEOv20100513 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | videoSourceXStripe82PhotoObjAll | VIDEOv20111208 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vikingSourceXDR7PhotoObj | VIKINGDR3 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vikingSourceXDR7PhotoObj | VIKINGDR4 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vikingSourceXDR7PhotoObj | VIKINGv20110714 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vikingSourceXDR7PhotoObj | VIKINGv20111019 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vikingSourceXDR7PhotoObj | VIKINGv20130417 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vikingSourceXDR7PhotoObj | VIKINGv20140402 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vikingSourceXDR7PhotoObj | VIKINGv20150421 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vikingSourceXDR7PhotoObj | VIKINGv20151230 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vikingSourceXDR7PhotoObj | VIKINGv20160406 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sdssType | vikingSourceXDR7PhotoObj, vikingSourceXDR7PhotoObjAll, vikingSourceXStripe82PhotoObjAll | VIKINGDR2 | SDSS type of neighbour: 3=galaxy; 6=star | tinyint | 1 | 255 | src.class | |
| sectionID | FilterSections | SHARKSv20210421 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | ULTRAVISTADR4 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VHSDR3 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VHSDR4 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VHSDR5 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VHSDR6 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VHSv20150108 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VHSv20160114 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VHSv20160507 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VHSv20170630 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VHSv20180419 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VHSv20201209 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VHSv20231101 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VIDEODR4 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VIDEODR5 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VIKINGDR4 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VIKINGv20150421 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VIKINGv20151230 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VIKINGv20160406 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VIKINGv20161202 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VIKINGv20170715 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCDEEPv20230713 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCDR3 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCDR4 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCDR5 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20140428 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20140903 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20150309 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20151218 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20160311 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20160822 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20170109 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20170411 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20171101 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20180702 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20181120 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20191212 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20210708 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20230816 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VMCv20240226 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VSAQC | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VVVDR5 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections | VVVXDR1 | UID of section of focal plane with different filter | tinyint | 1 | |||
| sectionID | FilterSections, SectionDetectors | SHARKSv20210222 | UID of section of focal plane with different filter | tinyint | 1 | |||
| seeing | MultiframeDetector | SHARKSv20210222 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | SHARKSv20210421 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | ULTRAVISTADR4 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSDR1 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSDR2 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSDR3 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSDR4 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSDR5 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSDR6 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSv20120926 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSv20130417 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSv20140409 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSv20150108 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSv20160114 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSv20160507 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSv20170630 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSv20180419 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSv20201209 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VHSv20231101 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIDEODR2 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIDEODR3 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIDEODR4 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIDEODR5 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIDEOv20100513 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIDEOv20111208 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIKINGDR2 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIKINGDR3 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIKINGDR4 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIKINGv20110714 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIKINGv20111019 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIKINGv20130417 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIKINGv20140402 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIKINGv20150421 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIKINGv20151230 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIKINGv20160406 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIKINGv20161202 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VIKINGv20170715 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCDEEPv20230713 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCDR1 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCDR2 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCDR3 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCDR4 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCDR5 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20110816 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20110909 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20120126 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20121128 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20130304 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20130805 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20140428 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20140903 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20150309 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20151218 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20160311 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20160822 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20170109 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20170411 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20171101 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20180702 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20181120 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20191212 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20210708 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20230816 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VMCv20240226 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VVVDR1 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VVVDR2 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VVVDR5 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VVVXDR1 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VVVv20100531 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | MultiframeDetector | VVVv20110718 | Average FWHM {catalogue extension keyword: SEEING} | real | 4 | pixels | -0.9999995e9 | ?? |
| An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). | ||||||||
| seeing | sharksMultiframeDetector, ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector | VSAQC | Average FWHM | real | 4 | pixels | -0.9999995e9 | ?? |
| selection | RequiredListDrivenProduct | VHSv20130417 | Selection SQL or filename containing list | varchar | 1024 | NONE | ||
| selection | RequiredListDrivenProduct | VIKINGv20130417 | Selection SQL or filename containing list | varchar | 1024 | NONE | ||
| selection | RequiredListDrivenProduct | VMCv20130805 | Selection SQL or filename containing list | varchar | 1024 | NONE | ||
| selection | RequiredMatchedApertureProduct | SHARKSv20210222 | Selection SQL or filename containing list | varchar | 1024 | |||
| selection | RequiredMatchedApertureProduct | SHARKSv20210421 | Selection SQL or filename containing list | varchar | 1024 | |||
| selection | RequiredMatchedApertureProduct | ULTRAVISTADR4 | Selection SQL or filename containing list | varchar | 1024 | |||
| selection | RequiredMatchedApertureProduct | VHSv20201209 | Selection SQL or filename containing list | varchar | 1024 | |||
| selection | RequiredMatchedApertureProduct | VHSv20231101 | Selection SQL or filename containing list | varchar | 1024 | |||
| selection | RequiredMatchedApertureProduct | VMCDEEPv20230713 | Selection SQL or filename containing list | varchar | 1024 | |||
| selection | RequiredMatchedApertureProduct | VMCDR5 | Selection SQL or filename containing list | varchar | 1024 | |||
| selection | RequiredMatchedApertureProduct | VMCv20191212 | Selection SQL or filename containing list | varchar | 1024 | |||
| selection | RequiredMatchedApertureProduct | VMCv20210708 | Selection SQL or filename containing list | varchar | 1024 | |||
| selection | RequiredMatchedApertureProduct | VMCv20230816 | Selection SQL or filename containing list | varchar | 1024 | |||
| selection | RequiredMatchedApertureProduct | VMCv20240226 | Selection SQL or filename containing list | varchar | 1024 | |||
| selection | RequiredMatchedApertureProduct | VVVDR5 | Selection SQL or filename containing list | varchar | 1024 | |||
| selection | RequiredMatchedApertureProduct | VVVXDR1 | Selection SQL or filename containing list | varchar | 1024 | |||
| sep | gaiaxwise_matches | GAIAXWISE | Angular separation between sources | float | 8 | arcsec | ||
| SEP_1XMM | twoxmm, twoxmm_v1_2 | XMM | The distance between this source and the matched 1XMM source (MATCH_1XMM) in arcseconds. | real | 4 | arcsec | ||
| SEP_2XMMP | twoxmm, twoxmm_v1_2 | XMM | The distance between this source and the matched 2XMMp source (MATCH_2XMMp) in arcseconds. | real | 4 | arcsec | ||
| seqNo | first08Jul16Source, firstSource, firstSource12Feb16 | FIRST | sequential object number | int | 4 | meta.id | ||
| seqNo | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca, glimpse_hrc_inter | GLIMPSE | sequential object number in the HRC | int | 4 | meta.id | ||
| seqNo | glimpse_mca_inter | GLIMPSE | sequential object number in the MCA | int | 4 | meta.id | ||
| seqNo | iras_psc | IRAS | sequential object number | int | 4 | meta.id | ||
| seqNo | nvssSource | NVSS | sequential object number | int | 4 | meta.id | ||
| seqNo | ogle3LpvLmcSource, ogle3LpvSmcSource, ogle4CepLmcSource, ogle4CepSmcSource, ogle4RRLyrLmcSource, ogle4RRLyrSmcSource | OGLE | sequential object number | int | 4 | meta.number | ||
| seqNo | rosat_bsc | ROSAT | sequential object number in the BSC | int | 4 | meta.id | ||
| seqNo | rosat_fsc | ROSAT | sequential object number in the FSC | int | 4 | meta.id | ||
| SEQNUM | akari_lmc_psa_v1, akari_lmc_psc_v1 | AKARI | Sequential number (unique object ID) | int | 4 | |||
| SEQNUM | grs_ngpSource, grs_ranSource, grs_sgpSource | TWODFGRS | Assigned sequence number to this object; determines the FITS filename (SEQNUM.fits) | int | 4 | meta.id | ||
| seqNum | combo17CDFSSource | COMBO17 | Sequential number (unique object ID) | int | 4 | |||
| seqNum | denisDR3Source | DENIS | Sequential number (unique object ID) | int | 4 | |||
| seqNum | eros2LMCSource, eros2SMCSource, erosLMCSource, erosSMCSource | EROS | Sequential number (unique object ID) | int | 4 | |||
| seqNum | machoLMCSource, machoSMCSource | MACHO | Sequential number (unique object ID) | int | 4 | |||
| seqNum | mcps_lmcSource, mcps_smcSource | MCPS | Sequential number (unique object ID) | int | 4 | |||
| seqNum | sharksDetection | SHARKSv20210222 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | sharksDetection | SHARKSv20210421 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | sharksSourceXDetectionBestMatch | SHARKSv20210222 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | sharksSourceXDetectionBestMatch | SHARKSv20210421 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | spitzer_smcSource | SPITZER | Sequential number (unique object ID) | int | 4 | |||
| seqNum | twomass_sixx2_psc | TWOMASS | Sequential number (unique object ID) | int | 4 | |||
| seqNum | ultravistaDetection | ULTRAVISTADR4 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | ultravistaSourceXDetectionBestMatch | ULTRAVISTADR4 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vhsDetection | VHSDR2 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vhsDetection | VHSDR3 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vhsDetection | VHSDR4 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vhsDetection | VHSDR5 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vhsDetection | VHSDR6 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vhsDetection | VHSv20120926 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vhsDetection | VHSv20130417 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vhsDetection | VHSv20140409 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vhsDetection | VHSv20150108 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vhsDetection | VHSv20160114 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vhsDetection | VHSv20160507 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vhsDetection | VHSv20170630 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vhsDetection | VHSv20180419 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vhsDetection | VHSv20201209 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vhsDetection | VHSv20231101 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vhsDetection, vhsListRemeasurement | VHSDR1 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | videoDetection | VIDEODR2 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | videoDetection | VIDEODR3 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | videoDetection | VIDEODR4 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | videoDetection | VIDEODR5 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | videoDetection | VIDEOv20111208 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | videoDetection, videoListRemeasurement | VIDEOv20100513 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | videoSourceXDetectionBestMatch | VIDEODR2 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.id | |
| seqNum | videoSourceXDetectionBestMatch | VIDEODR3 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | videoSourceXDetectionBestMatch | VIDEODR4 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | videoSourceXDetectionBestMatch | VIDEODR5 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | videoSourceXDetectionBestMatch | VIDEOv20100513 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.id | |
| seqNum | videoSourceXDetectionBestMatch | VIDEOv20111208 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.id | |
| seqNum | vikingDetection | VIKINGDR2 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vikingDetection | VIKINGDR3 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vikingDetection | VIKINGDR4 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vikingDetection | VIKINGv20111019 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vikingDetection | VIKINGv20130417 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vikingDetection | VIKINGv20140402 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vikingDetection | VIKINGv20150421 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vikingDetection | VIKINGv20151230 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vikingDetection | VIKINGv20160406 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vikingDetection | VIKINGv20161202 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vikingDetection | VIKINGv20170715 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vikingSourceXDetectionBestMatch | VIKINGDR2 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.id | |
| seqNum | vikingSourceXDetectionBestMatch | VIKINGDR3 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vikingSourceXDetectionBestMatch | VIKINGDR4 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vikingSourceXDetectionBestMatch | VIKINGv20110714 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.id | |
| seqNum | vikingSourceXDetectionBestMatch | VIKINGv20111019 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.id | |
| seqNum | vikingSourceXDetectionBestMatch | VIKINGv20130417 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vikingSourceXDetectionBestMatch | VIKINGv20140402 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vikingSourceXDetectionBestMatch | VIKINGv20150421 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vikingSourceXDetectionBestMatch | VIKINGv20151230 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vikingSourceXDetectionBestMatch | VIKINGv20160406 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vikingSourceXDetectionBestMatch | VIKINGv20161202 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vikingSourceXDetectionBestMatch | VIKINGv20170715 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vmcDetection | VMCDR1 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vmcDetection | VMCDR2 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCDR3 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCDR4 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCDR5 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vmcDetection | VMCv20110909 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vmcDetection | VMCv20120126 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vmcDetection | VMCv20121128 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20130304 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20130805 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20140428 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20140903 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20150309 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20151218 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20160311 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20160822 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20170109 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20170411 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20171101 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20180702 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20181120 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vmcDetection | VMCv20191212 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vmcDetection | VMCv20210708 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vmcDetection | VMCv20230816 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vmcDetection | VMCv20240226 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vmcDetection, vmcListRemeasurement | VMCv20110816 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vmcdeepDetection | VMCDEEPv20230713 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vvvDetection | VVVDR1 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vvvDetection | VVVDR2 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vvvDetection, vvvDetectionPawPrints, vvvDetectionTiles | VVVDR5 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.number | ||
| seqNum | vvvDetection, vvvListRemeasurement | VVVv20100531 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | meta.id | ||
| seqNum | vvvSourceXDetectionBestMatch | VVVDR1 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vvvSourceXDetectionBestMatch | VVVDR2 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vvvSourceXDetectionBestMatch | VVVDR5 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.number | |
| seqNum | vvvSourceXDetectionBestMatch | VVVv20100531 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.id | |
| seqNum | vvvSourceXDetectionBestMatch | VVVv20110718 | the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. |
int | 4 | -99999999 | meta.id | |
| SerFit1DChi2 | sharksDetection | SHARKSv20210222 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | sharksDetection | SHARKSv20210421 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | ultravistaDetection | ULTRAVISTADR4 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSDR2 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSDR3 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSDR4 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSDR5 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSDR6 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSv20120926 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSv20130417 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSv20140409 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSv20150108 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSv20160114 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSv20160507 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSv20170630 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSv20180419 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSv20201209 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection | VHSv20231101 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vhsDetection, vhsListRemeasurement | VHSDR1 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | videoDetection | VIDEODR2 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | ||
| SerFit1DChi2 | videoDetection | VIDEODR3 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | videoDetection | VIDEODR4 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | videoDetection | VIDEODR5 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | videoDetection | VIDEOv20100513 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | ||
| SerFit1DChi2 | videoDetection | VIDEOv20111208 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | ||
| SerFit1DChi2 | videoListRemeasurement | VIDEOv20100513 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vikingDetection | VIKINGDR2 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vikingDetection | VIKINGDR3 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vikingDetection | VIKINGDR4 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vikingDetection | VIKINGv20111019 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vikingDetection | VIKINGv20130417 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vikingDetection | VIKINGv20140402 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vikingDetection | VIKINGv20150421 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vikingDetection | VIKINGv20151230 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vikingDetection | VIKINGv20160406 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vikingDetection | VIKINGv20161202 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vikingDetection | VIKINGv20170715 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit1DChi2 | vmcdeepDetection | VMCDEEPv20230713 | Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | sharksDetection | SHARKSv20210222 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | sharksDetection | SHARKSv20210421 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | ultravistaDetection | ULTRAVISTADR4 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSDR2 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSDR3 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSDR4 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSDR5 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSDR6 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSv20120926 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSv20130417 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSv20140409 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSv20150108 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSv20160114 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSv20160507 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSv20170630 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSv20180419 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSv20201209 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection | VHSv20231101 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vhsDetection, vhsListRemeasurement | VHSDR1 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | videoDetection | VIDEODR2 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | ||
| SerFit2DChi2 | videoDetection | VIDEODR3 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | videoDetection | VIDEODR4 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | videoDetection | VIDEODR5 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | videoDetection | VIDEOv20100513 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | ||
| SerFit2DChi2 | videoDetection | VIDEOv20111208 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} | real | 4 | -0.9999995e9 | ||
| SerFit2DChi2 | videoListRemeasurement | VIDEOv20100513 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vikingDetection | VIKINGDR2 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vikingDetection | VIKINGDR3 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vikingDetection | VIKINGDR4 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vikingDetection | VIKINGv20111019 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vikingDetection | VIKINGv20130417 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vikingDetection | VIKINGv20140402 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vikingDetection | VIKINGv20150421 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vikingDetection | VIKINGv20151230 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vikingDetection | VIKINGv20160406 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vikingDetection | VIKINGv20161202 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vikingDetection | VIKINGv20170715 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFit2DChi2 | vmcdeepDetection | VMCDEEPv20230713 | Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerFitNu1D | sharksDetection | SHARKSv20210222 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | sharksDetection | SHARKSv20210421 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | ultravistaDetection | ULTRAVISTADR4 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSDR2 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSDR3 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSDR4 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSDR5 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSDR6 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSv20120926 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSv20130417 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSv20140409 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSv20150108 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSv20160114 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSv20160507 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSv20170630 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSv20180419 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSv20201209 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection | VHSv20231101 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vhsDetection, vhsListRemeasurement | VHSDR1 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | videoDetection | VIDEODR2 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | ||
| SerFitNu1D | videoDetection | VIDEODR3 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | videoDetection | VIDEODR4 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | videoDetection | VIDEODR5 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | videoDetection | VIDEOv20100513 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | ||
| SerFitNu1D | videoDetection | VIDEOv20111208 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | ||
| SerFitNu1D | videoListRemeasurement | VIDEOv20100513 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vikingDetection | VIKINGDR2 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vikingDetection | VIKINGDR3 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vikingDetection | VIKINGDR4 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vikingDetection | VIKINGv20111019 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vikingDetection | VIKINGv20130417 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vikingDetection | VIKINGv20140402 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vikingDetection | VIKINGv20150421 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vikingDetection | VIKINGv20151230 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vikingDetection | VIKINGv20160406 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vikingDetection | VIKINGv20161202 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vikingDetection | VIKINGv20170715 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu1D | vmcdeepDetection | VMCDEEPv20230713 | No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | sharksDetection | SHARKSv20210222 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | sharksDetection | SHARKSv20210421 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | ultravistaDetection | ULTRAVISTADR4 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSDR2 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSDR3 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSDR4 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSDR5 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSDR6 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSv20120926 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSv20130417 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSv20140409 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSv20150108 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSv20160114 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSv20160507 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSv20170630 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSv20180419 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSv20201209 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection | VHSv20231101 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vhsDetection, vhsListRemeasurement | VHSDR1 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | videoDetection | VIDEODR2 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | ||
| SerFitNu2D | videoDetection | VIDEODR3 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | videoDetection | VIDEODR4 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | videoDetection | VIDEODR5 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | videoDetection | VIDEOv20100513 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | ||
| SerFitNu2D | videoDetection | VIDEOv20111208 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} | real | 4 | -0.9999995e9 | ||
| SerFitNu2D | videoListRemeasurement | VIDEOv20100513 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vikingDetection | VIKINGDR2 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vikingDetection | VIKINGDR3 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vikingDetection | VIKINGDR4 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vikingDetection | VIKINGv20111019 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vikingDetection | VIKINGv20130417 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vikingDetection | VIKINGv20140402 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vikingDetection | VIKINGv20150421 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vikingDetection | VIKINGv20151230 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vikingDetection | VIKINGv20160406 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vikingDetection | VIKINGv20161202 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vikingDetection | VIKINGv20170715 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFitNu2D | vmcdeepDetection | VMCDEEPv20230713 | No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.dof | |
| SerFlux1D | sharksDetection | SHARKSv20210222 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | sharksDetection | SHARKSv20210421 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | ultravistaDetection | ULTRAVISTADR4 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} | real | 4 | -0.9999995e9 | phot.count | |
| SerFlux1D | vhsDetection | VHSDR2 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count;em.opt |
| SerFlux1D | vhsDetection | VHSDR3 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSDR4 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSDR5 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSDR6 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSv20120926 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSv20130417 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSv20140409 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSv20150108 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSv20160114 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSv20160507 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSv20170630 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSv20180419 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSv20201209 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection | VHSv20231101 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vhsDetection, vhsListRemeasurement | VHSDR1 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count;em.opt |
| SerFlux1D | videoDetection | VIDEODR2 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} | real | 4 | -0.9999995e9 | ||
| SerFlux1D | videoDetection | VIDEODR3 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} | real | 4 | -0.9999995e9 | phot.count | |
| SerFlux1D | videoDetection | VIDEODR4 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} | real | 4 | -0.9999995e9 | phot.count | |
| SerFlux1D | videoDetection | VIDEODR5 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} | real | 4 | -0.9999995e9 | phot.count | |
| SerFlux1D | videoDetection | VIDEOv20100513 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} | real | 4 | -0.9999995e9 | ||
| SerFlux1D | videoDetection | VIDEOv20111208 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} | real | 4 | -0.9999995e9 | ||
| SerFlux1D | videoListRemeasurement | VIDEOv20100513 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count;em.opt |
| SerFlux1D | vikingDetection | VIKINGDR2 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count;em.opt |
| SerFlux1D | vikingDetection | VIKINGDR3 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vikingDetection | VIKINGDR4 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vikingDetection | VIKINGv20111019 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count;em.opt |
| SerFlux1D | vikingDetection | VIKINGv20130417 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vikingDetection | VIKINGv20140402 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vikingDetection | VIKINGv20150421 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vikingDetection | VIKINGv20151230 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vikingDetection | VIKINGv20160406 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vikingDetection | VIKINGv20161202 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vikingDetection | VIKINGv20170715 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux1D | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count;em.opt |
| SerFlux1D | vmcdeepDetection | VMCDEEPv20230713 | 1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | sharksDetection | SHARKSv20210222 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | sharksDetection | SHARKSv20210421 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | ultravistaDetection | ULTRAVISTADR4 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} | real | 4 | -0.9999995e9 | phot.count | |
| SerFlux2D | vhsDetection | VHSDR2 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count;em.opt |
| SerFlux2D | vhsDetection | VHSDR3 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSDR4 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSDR5 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSDR6 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSv20120926 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSv20130417 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSv20140409 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSv20150108 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSv20160114 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSv20160507 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSv20170630 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSv20180419 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSv20201209 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection | VHSv20231101 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vhsDetection, vhsListRemeasurement | VHSDR1 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count;em.opt |
| SerFlux2D | videoDetection | VIDEODR2 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} | real | 4 | -0.9999995e9 | ||
| SerFlux2D | videoDetection | VIDEODR3 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} | real | 4 | -0.9999995e9 | phot.count | |
| SerFlux2D | videoDetection | VIDEODR4 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} | real | 4 | -0.9999995e9 | phot.count | |
| SerFlux2D | videoDetection | VIDEODR5 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} | real | 4 | -0.9999995e9 | phot.count | |
| SerFlux2D | videoDetection | VIDEOv20100513 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} | real | 4 | -0.9999995e9 | ||
| SerFlux2D | videoDetection | VIDEOv20111208 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} | real | 4 | -0.9999995e9 | ||
| SerFlux2D | videoListRemeasurement | VIDEOv20100513 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count;em.opt |
| SerFlux2D | vikingDetection | VIKINGDR2 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count;em.opt |
| SerFlux2D | vikingDetection | VIKINGDR3 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vikingDetection | VIKINGDR4 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vikingDetection | VIKINGv20111019 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count;em.opt |
| SerFlux2D | vikingDetection | VIKINGv20130417 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vikingDetection | VIKINGv20140402 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vikingDetection | VIKINGv20150421 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vikingDetection | VIKINGv20151230 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vikingDetection | VIKINGv20160406 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vikingDetection | VIKINGv20161202 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vikingDetection | VIKINGv20170715 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerFlux2D | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count;em.opt |
| SerFlux2D | vmcdeepDetection | VMCDEEPv20230713 | 2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | ADU | -0.9999995e9 | phot.count |
| SerIdx1D | sharksDetection | SHARKSv20210222 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | sharksDetection | SHARKSv20210421 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | ultravistaDetection | ULTRAVISTADR4 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSDR2 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSDR3 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSDR4 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSDR5 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSDR6 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSv20120926 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSv20130417 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSv20140409 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSv20150108 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSv20160114 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSv20160507 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSv20170630 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSv20180419 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSv20201209 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection | VHSv20231101 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vhsDetection, vhsListRemeasurement | VHSDR1 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | videoDetection | VIDEODR2 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} | real | 4 | -0.9999995e9 | ||
| SerIdx1D | videoDetection | VIDEODR3 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | videoDetection | VIDEODR4 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | videoDetection | VIDEODR5 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | videoDetection | VIDEOv20100513 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} | real | 4 | -0.9999995e9 | ||
| SerIdx1D | videoDetection | VIDEOv20111208 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} | real | 4 | -0.9999995e9 | ||
| SerIdx1D | videoListRemeasurement | VIDEOv20100513 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vikingDetection | VIKINGDR2 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vikingDetection | VIKINGDR3 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vikingDetection | VIKINGDR4 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vikingDetection | VIKINGv20111019 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vikingDetection | VIKINGv20130417 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vikingDetection | VIKINGv20140402 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vikingDetection | VIKINGv20150421 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vikingDetection | VIKINGv20151230 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vikingDetection | VIKINGv20160406 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vikingDetection | VIKINGv20161202 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vikingDetection | VIKINGv20170715 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx1D | vmcdeepDetection | VMCDEEPv20230713 | Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | sharksDetection | SHARKSv20210222 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | sharksDetection | SHARKSv20210421 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | ultravistaDetection | ULTRAVISTADR4 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSDR2 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSDR3 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSDR4 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSDR5 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSDR6 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSv20120926 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSv20130417 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSv20140409 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSv20150108 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSv20160114 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSv20160507 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSv20170630 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSv20180419 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSv20201209 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection | VHSv20231101 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vhsDetection, vhsListRemeasurement | VHSDR1 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | videoDetection | VIDEODR2 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} | real | 4 | -0.9999995e9 | ||
| SerIdx2D | videoDetection | VIDEODR3 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | videoDetection | VIDEODR4 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | videoDetection | VIDEODR5 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | videoDetection | VIDEOv20100513 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} | real | 4 | -0.9999995e9 | ||
| SerIdx2D | videoDetection | VIDEOv20111208 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} | real | 4 | -0.9999995e9 | ||
| SerIdx2D | videoListRemeasurement | VIDEOv20100513 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vikingDetection | VIKINGDR2 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vikingDetection | VIKINGDR3 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vikingDetection | VIKINGDR4 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vikingDetection | VIKINGv20111019 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vikingDetection | VIKINGv20130417 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vikingDetection | VIKINGv20140402 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vikingDetection | VIKINGv20150421 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vikingDetection | VIKINGv20151230 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vikingDetection | VIKINGv20160406 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vikingDetection | VIKINGv20161202 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vikingDetection | VIKINGv20170715 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerIdx2D | vmcdeepDetection | VMCDEEPv20230713 | Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerMag1D | sharksDetection | SHARKSv20210222 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | sharksDetection | SHARKSv20210421 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | ultravistaDetection | ULTRAVISTADR4 | SExtractor parameter | real | 4 | -0.9999995e9 | stat.fit.param;phot.mag | |
| SerMag1D | vhsDetection | VHSDR2 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | PHOT_PROFILE |
| SerMag1D | vhsDetection | VHSDR3 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag1D | vhsDetection | VHSDR4 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vhsDetection | VHSDR5 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vhsDetection | VHSDR6 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vhsDetection | VHSv20120926 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag1D | vhsDetection | VHSv20130417 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag1D | vhsDetection | VHSv20140409 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag1D | vhsDetection | VHSv20150108 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vhsDetection | VHSv20160114 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vhsDetection | VHSv20160507 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vhsDetection | VHSv20170630 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vhsDetection | VHSv20180419 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vhsDetection | VHSv20201209 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vhsDetection | VHSv20231101 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vhsDetection, vhsListRemeasurement | VHSDR1 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | PHOT_PROFILE |
| SerMag1D | videoDetection | VIDEODR2 | SExtractor parameter | real | 4 | -0.9999995e9 | ||
| SerMag1D | videoDetection | VIDEODR3 | SExtractor parameter | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerMag1D | videoDetection | VIDEODR4 | SExtractor parameter | real | 4 | -0.9999995e9 | stat.fit.param;phot.mag | |
| SerMag1D | videoDetection | VIDEODR5 | SExtractor parameter | real | 4 | -0.9999995e9 | stat.fit.param;phot.mag | |
| SerMag1D | videoDetection | VIDEOv20100513 | SExtractor parameter | real | 4 | -0.9999995e9 | ||
| SerMag1D | videoDetection | VIDEOv20111208 | SExtractor parameter | real | 4 | -0.9999995e9 | ||
| SerMag1D | videoListRemeasurement | VIDEOv20100513 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | PHOT_PROFILE |
| SerMag1D | vikingDetection | VIKINGDR2 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | PHOT_PROFILE |
| SerMag1D | vikingDetection | VIKINGDR3 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag1D | vikingDetection | VIKINGDR4 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag1D | vikingDetection | VIKINGv20111019 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | PHOT_PROFILE |
| SerMag1D | vikingDetection | VIKINGv20130417 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag1D | vikingDetection | VIKINGv20140402 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag1D | vikingDetection | VIKINGv20150421 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vikingDetection | VIKINGv20151230 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vikingDetection | VIKINGv20160406 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vikingDetection | VIKINGv20161202 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vikingDetection | VIKINGv20170715 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag1D | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | PHOT_PROFILE |
| SerMag1D | vmcdeepDetection | VMCDEEPv20230713 | Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | sharksDetection | SHARKSv20210222 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | sharksDetection | SHARKSv20210421 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | ultravistaDetection | ULTRAVISTADR4 | SExtractor parameter | real | 4 | -0.9999995e9 | stat.fit.param;phot.mag | |
| SerMag2D | vhsDetection | VHSDR2 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | PHOT_PROFILE |
| SerMag2D | vhsDetection | VHSDR3 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag2D | vhsDetection | VHSDR4 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vhsDetection | VHSDR5 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vhsDetection | VHSDR6 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vhsDetection | VHSv20120926 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag2D | vhsDetection | VHSv20130417 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag2D | vhsDetection | VHSv20140409 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag2D | vhsDetection | VHSv20150108 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vhsDetection | VHSv20160114 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vhsDetection | VHSv20160507 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vhsDetection | VHSv20170630 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vhsDetection | VHSv20180419 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vhsDetection | VHSv20201209 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vhsDetection | VHSv20231101 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vhsDetection, vhsListRemeasurement | VHSDR1 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | PHOT_PROFILE |
| SerMag2D | videoDetection | VIDEODR2 | SExtractor parameter | real | 4 | -0.9999995e9 | ||
| SerMag2D | videoDetection | VIDEODR3 | SExtractor parameter | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerMag2D | videoDetection | VIDEODR4 | SExtractor parameter | real | 4 | -0.9999995e9 | stat.fit.param;phot.mag | |
| SerMag2D | videoDetection | VIDEODR5 | SExtractor parameter | real | 4 | -0.9999995e9 | stat.fit.param;phot.mag | |
| SerMag2D | videoDetection | VIDEOv20100513 | SExtractor parameter | real | 4 | -0.9999995e9 | ||
| SerMag2D | videoDetection | VIDEOv20111208 | SExtractor parameter | real | 4 | -0.9999995e9 | ||
| SerMag2D | videoListRemeasurement | VIDEOv20100513 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | PHOT_PROFILE |
| SerMag2D | vikingDetection | VIKINGDR2 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | PHOT_PROFILE |
| SerMag2D | vikingDetection | VIKINGDR3 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag2D | vikingDetection | VIKINGDR4 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag2D | vikingDetection | VIKINGv20111019 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | PHOT_PROFILE |
| SerMag2D | vikingDetection | VIKINGv20130417 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag2D | vikingDetection | VIKINGv20140402 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param |
| SerMag2D | vikingDetection | VIKINGv20150421 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vikingDetection | VIKINGv20151230 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vikingDetection | VIKINGv20160406 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vikingDetection | VIKINGv20161202 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vikingDetection | VIKINGv20170715 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerMag2D | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | PHOT_PROFILE |
| SerMag2D | vmcdeepDetection | VMCDEEPv20230713 | Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | mag | -0.9999995e9 | stat.fit.param;phot.mag |
| SerScaleLen1D | sharksDetection | SHARKSv20210222 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | sharksDetection | SHARKSv20210421 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | ultravistaDetection | ULTRAVISTADR4 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSDR2 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSDR3 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSDR4 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSDR5 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSDR6 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSv20120926 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSv20130417 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSv20140409 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSv20150108 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSv20160114 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSv20160507 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSv20170630 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSv20180419 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSv20201209 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection | VHSv20231101 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vhsDetection, vhsListRemeasurement | VHSDR1 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | videoDetection | VIDEODR2 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} | real | 4 | -0.9999995e9 | ||
| SerScaleLen1D | videoDetection | VIDEODR3 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | videoDetection | VIDEODR4 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | videoDetection | VIDEODR5 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | videoDetection | VIDEOv20100513 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} | real | 4 | -0.9999995e9 | ||
| SerScaleLen1D | videoDetection | VIDEOv20111208 | SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} | real | 4 | -0.9999995e9 | ||
| SerScaleLen1D | videoListRemeasurement | VIDEOv20100513 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vikingDetection | VIKINGDR2 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vikingDetection | VIKINGDR3 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vikingDetection | VIKINGDR4 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vikingDetection | VIKINGv20111019 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vikingDetection | VIKINGv20130417 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vikingDetection | VIKINGv20140402 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vikingDetection | VIKINGv20150421 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vikingDetection | VIKINGv20151230 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vikingDetection | VIKINGv20160406 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vikingDetection | VIKINGv20161202 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vikingDetection | VIKINGv20170715 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen1D | vmcdeepDetection | VMCDEEPv20230713 | Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | sharksDetection | SHARKSv20210222 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | sharksDetection | SHARKSv20210421 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | ultravistaDetection | ULTRAVISTADR4 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSDR2 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSDR3 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSDR4 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSDR5 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSDR6 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSv20120926 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSv20130417 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSv20140409 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSv20150108 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSv20160114 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSv20160507 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSv20170630 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSv20180419 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSv20201209 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection | VHSv20231101 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vhsDetection, vhsListRemeasurement | VHSDR1 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | videoDetection | VIDEODR2 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} | real | 4 | -0.9999995e9 | ||
| SerScaleLen2D | videoDetection | VIDEODR3 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | videoDetection | VIDEODR4 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | videoDetection | VIDEODR5 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} | real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | videoDetection | VIDEOv20100513 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} | real | 4 | -0.9999995e9 | ||
| SerScaleLen2D | videoDetection | VIDEOv20111208 | SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} | real | 4 | -0.9999995e9 | ||
| SerScaleLen2D | videoListRemeasurement | VIDEOv20100513 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vikingDetection | VIKINGDR2 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vikingDetection | VIKINGDR3 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vikingDetection | VIKINGDR4 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vikingDetection | VIKINGv20111019 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vikingDetection | VIKINGv20130417 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vikingDetection | VIKINGv20140402 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vikingDetection | VIKINGv20150421 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vikingDetection | VIKINGv20151230 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vikingDetection | VIKINGv20160406 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vikingDetection | VIKINGv20161202 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vikingDetection | VIKINGv20170715 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SerScaleLen2D | vmcdeepDetection | VMCDEEPv20230713 | Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived x-y coordinates] |
real | 4 | -0.9999995e9 | stat.fit.param | |
| SERSIC | mgcGalaxyStruct | MGC | Sersic Index (=4 for de Vaucouleurs profile) | real | 4 | 99.99 | ||
| SERSIC_KAPPA | mgcGalaxyStruct | MGC | Sersic profile coefficient | real | 4 | |||
| SERSICm | mgcGalaxyStruct | MGC | Sersic Index error (-) | real | 4 | 99.99 | ||
| SERSICp | mgcGalaxyStruct | MGC | Sersic Index error (+) | real | 4 | 99.99 | ||
| ses1_100 | iras_psc | IRAS | Number of seconds-confirmed nearby small extended sources (100 micron). | tinyint | 1 | instr.param | ||
| ses1_12 | iras_psc | IRAS | Number of seconds-confirmed nearby small extended sources (12 micron). | tinyint | 1 | instr.param | ||
| ses1_25 | iras_psc | IRAS | Number of seconds-confirmed nearby small extended sources (25 micron). | tinyint | 1 | instr.param | ||
| ses1_60 | iras_psc | IRAS | Number of seconds-confirmed nearby small extended sources (60 micron). | tinyint | 1 | instr.param | ||
| ses2_100 | iras_psc | IRAS | Number of nearby weeks-confirmed small extended sources (100 micron). | tinyint | 1 | meta.code | ||
| ses2_12 | iras_psc | IRAS | Number of nearby weeks-confirmed small extended sources (12 micron). | tinyint | 1 | meta.code | ||
| ses2_25 | iras_psc | IRAS | Number of nearby weeks-confirmed small extended sources (25 micron). | tinyint | 1 | meta.code | ||
| ses2_60 | iras_psc | IRAS | Number of nearby weeks-confirmed small extended sources (60 micron). | tinyint | 1 | meta.code | ||
| setupID | RegionFieldLinks | SHARKSv20210421 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RegionFieldLinks | ULTRAVISTADR4 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RegionFieldLinks | VHSv20201209 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RegionFieldLinks | VHSv20231101 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RegionFieldLinks | VMCDEEPv20230713 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RegionFieldLinks | VMCDR5 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RegionFieldLinks | VMCv20191212 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RegionFieldLinks | VMCv20210708 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RegionFieldLinks | VMCv20230816 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RegionFieldLinks | VMCv20240226 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RegionFieldLinks | VVVDR5 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RegionFieldLinks | VVVXDR1 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RegionFieldLinks, RequiredMosaic | SHARKSv20210222 | UID of top level setup. | int | 4 | -99999999 | ||
| setupID | RequiredMapAverages | SHARKSv20210222 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMapAverages | SHARKSv20210421 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMapAverages | ULTRAVISTADR4 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMapAverages | VHSv20201209 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMapAverages | VHSv20231101 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMapAverages | VMCDEEPv20230713 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMapAverages | VMCDR5 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMapAverages | VMCv20191212 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMapAverages | VMCv20210708 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMapAverages | VMCv20230816 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMapAverages | VMCv20240226 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMapAverages | VVVDR5 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMapAverages | VVVXDR1 | the setupID of the averaging process | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | SHARKSv20210222 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | SHARKSv20210421 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | ULTRAVISTADR4 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | VHSv20201209 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | VHSv20231101 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | VMCDEEPv20230713 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | VMCDR5 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | VMCv20191212 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | VMCv20210708 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | VMCv20230816 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | VMCv20240226 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | VVVDR5 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| setupID | RequiredMosaicTopLevel | VVVXDR1 | the unique setup ID. Probably one per programme, but just in case | int | 4 | meta.id;meta.main | ||
| SEX_FLAG | mgcGalaxyStruct | MGC | SExtractor Flag | int | 4 | Integer | ||
| SG | target | SIXDF | SSS star/galaxy flag 1=galaxy 2=star 3=unclass 4=noise | smallint | 2 | |||
| sharp | smashdr2_deep, smashdr2_object | SMASH | Average DAOPHOT sharp value, measurement of peakiness | real | 4 | |||
| sharp | smashdr2_source | SMASH | DAOPHOT sharp value, measurement of peakiness | real | 4 | |||
| sharp | vvvPsfDaophotJKsSource | VVVDR5 | Sharpness of the gaussian [-1,1] {catalogue TType keyword: sharp} | real | 4 | stat.fit.goodness | ||
| SHARPL15 | akari_lmc_psa_v1, akari_lmc_psc_v1 | AKARI | Sharpness | float | 8 | 99.999 | ||
| SHARPL24 | akari_lmc_psa_v1, akari_lmc_psc_v1 | AKARI | Sharpness | float | 8 | 99.999 | ||
| SHARPN3 | akari_lmc_psa_v1, akari_lmc_psc_v1 | AKARI | Sharpness | float | 8 | 99.999 | ||
| SHARPS11 | akari_lmc_psa_v1, akari_lmc_psc_v1 | AKARI | Sharpness | float | 8 | 99.999 | ||
| SHARPS7 | akari_lmc_psa_v1, akari_lmc_psc_v1 | AKARI | Sharpness | float | 8 | 99.999 | ||
| shortName | Filter | SHARKSv20210222 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | SHARKSv20210421 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | ULTRAVISTADR4 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSDR1 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSDR2 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSDR3 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSDR4 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSDR5 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSDR6 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSv20120926 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSv20130417 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSv20150108 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSv20160114 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSv20160507 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSv20170630 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSv20180419 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSv20201209 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VHSv20231101 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIDEODR2 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIDEODR3 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIDEODR4 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIDEODR5 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIDEOv20100513 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIDEOv20111208 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIKINGDR2 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIKINGDR3 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIKINGDR4 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIKINGv20110714 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIKINGv20111019 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIKINGv20130417 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIKINGv20150421 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIKINGv20151230 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIKINGv20160406 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIKINGv20161202 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VIKINGv20170715 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCDEEPv20230713 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCDR1 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCDR3 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCDR4 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCDR5 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20110816 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20110909 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20120126 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20121128 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20130304 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20130805 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20140428 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20140903 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20150309 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20151218 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20160311 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20160822 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20170109 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20170411 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20171101 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20180702 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20181120 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20191212 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20210708 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20230816 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VMCv20240226 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VSAQC | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VVVDR1 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VVVDR2 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VVVDR5 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VVVXDR1 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VVVv20100531 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | Filter | VVVv20110718 | Short identification name for the filter | varchar | 10 | ?? | ||
| shortName | FilterExtinctionCoefficients | EXTINCT | Short name of the filter | varchar | 8 | meta.id | ||
| shortName | FilterSections | SHARKSv20210222 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | SHARKSv20210421 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | ULTRAVISTADR4 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VHSDR3 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VHSDR4 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VHSDR5 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VHSDR6 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VHSv20150108 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VHSv20160114 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VHSv20160507 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VHSv20170630 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VHSv20180419 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VHSv20201209 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VHSv20231101 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VIDEODR4 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VIDEODR5 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VIKINGDR4 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VIKINGv20150421 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VIKINGv20151230 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VIKINGv20160406 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VIKINGv20161202 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VIKINGv20170715 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCDEEPv20230713 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCDR3 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCDR4 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCDR5 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20140428 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20140903 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20150309 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20151218 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20160311 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20160822 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20170109 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20170411 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20171101 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20180702 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20181120 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20191212 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20210708 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20230816 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VMCv20240226 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VSAQC | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VVVDR5 | Short identification name for the filter section | varchar | 10 | ?? | ||
| shortName | FilterSections | VVVXDR1 | Short identification name for the filter section | varchar | 10 | ?? | ||
| Si | ravedr5Source | RAVE | [Si/H] abundance of Si | real | 4 | dex | phys.abund.Z | |
| Si_N | ravedr5Source | RAVE | Number of used spectral lines in calc. of [Si/H] | smallint | 2 | meta.number | ||
| siga | sharksAstrometricInfo | SHARKSv20210222 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | sharksAstrometricInfo | SHARKSv20210421 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | ultravistaAstrometricInfo | ULTRAVISTADR4 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vhsAstrometricInfo | VHSDR6 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vhsAstrometricInfo | VHSv20170630 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vhsAstrometricInfo | VHSv20180419 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vhsAstrometricInfo | VHSv20201209 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vhsAstrometricInfo | VHSv20231101 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | videoAstrometricInfo | VIDEODR2 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | ?? |
| siga | videoAstrometricInfo | VIDEODR3 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | videoAstrometricInfo | VIDEODR4 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | videoAstrometricInfo | VIDEODR5 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | videoAstrometricInfo | VIDEOv20111208 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | ?? |
| siga | vikingAstrometricInfo | VIKINGDR2 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | ?? |
| siga | vikingAstrometricInfo | VIKINGDR3 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vikingAstrometricInfo | VIKINGDR4 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vikingAstrometricInfo | VIKINGv20110714 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | ?? |
| siga | vikingAstrometricInfo | VIKINGv20111019 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | ?? |
| siga | vikingAstrometricInfo | VIKINGv20130417 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vikingAstrometricInfo | VIKINGv20140402 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vikingAstrometricInfo | VIKINGv20150421 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vikingAstrometricInfo | VIKINGv20151230 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vikingAstrometricInfo | VIKINGv20160406 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vikingAstrometricInfo | VIKINGv20161202 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vikingAstrometricInfo | VIKINGv20170715 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCDR1 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | ?? |
| siga | vmcAstrometricInfo | VMCDR2 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCDR3 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCDR4 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCDR5 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20110816 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | ?? |
| siga | vmcAstrometricInfo | VMCv20110909 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | ?? |
| siga | vmcAstrometricInfo | VMCv20120126 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | ?? |
| siga | vmcAstrometricInfo | VMCv20121128 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20130304 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20130805 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20140428 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20140903 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20150309 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20151218 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20160311 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20160822 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20170109 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20170411 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20171101 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20180702 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20181120 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20191212 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20210708 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20230816 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcAstrometricInfo | VMCv20240226 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vmcdeepAstrometricInfo | VMCDEEPv20230713 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vvvAstrometricInfo | VVVDR1 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vvvAstrometricInfo | VVVDR2 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vvvAstrometricInfo | VVVDR5 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| siga | vvvAstrometricInfo | VVVv20110718 | Error on coefficient a | float | 8 | arcsec | -0.9999995e9 | ?? |
| sigd | sharksAstrometricInfo | SHARKSv20210222 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | sharksAstrometricInfo | SHARKSv20210421 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | ultravistaAstrometricInfo | ULTRAVISTADR4 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vhsAstrometricInfo | VHSDR6 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vhsAstrometricInfo | VHSv20170630 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vhsAstrometricInfo | VHSv20180419 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vhsAstrometricInfo | VHSv20201209 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vhsAstrometricInfo | VHSv20231101 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | videoAstrometricInfo | VIDEODR2 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | ?? |
| sigd | videoAstrometricInfo | VIDEODR3 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | videoAstrometricInfo | VIDEODR4 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | videoAstrometricInfo | VIDEODR5 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | videoAstrometricInfo | VIDEOv20111208 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | ?? |
| sigd | vikingAstrometricInfo | VIKINGDR2 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | ?? |
| sigd | vikingAstrometricInfo | VIKINGDR3 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vikingAstrometricInfo | VIKINGDR4 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vikingAstrometricInfo | VIKINGv20110714 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | ?? |
| sigd | vikingAstrometricInfo | VIKINGv20111019 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | ?? |
| sigd | vikingAstrometricInfo | VIKINGv20130417 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vikingAstrometricInfo | VIKINGv20140402 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vikingAstrometricInfo | VIKINGv20150421 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vikingAstrometricInfo | VIKINGv20151230 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vikingAstrometricInfo | VIKINGv20160406 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vikingAstrometricInfo | VIKINGv20161202 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vikingAstrometricInfo | VIKINGv20170715 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCDR1 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | ?? |
| sigd | vmcAstrometricInfo | VMCDR2 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCDR3 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCDR4 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCDR5 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20110816 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | ?? |
| sigd | vmcAstrometricInfo | VMCv20110909 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | ?? |
| sigd | vmcAstrometricInfo | VMCv20120126 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | ?? |
| sigd | vmcAstrometricInfo | VMCv20121128 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20130304 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20130805 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20140428 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20140903 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20150309 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20151218 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20160311 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20160822 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20170109 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20170411 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20171101 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20180702 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20181120 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20191212 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20210708 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20230816 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcAstrometricInfo | VMCv20240226 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vmcdeepAstrometricInfo | VMCDEEPv20230713 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vvvAstrometricInfo | VVVDR1 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vvvAstrometricInfo | VVVDR2 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vvvAstrometricInfo | VVVDR5 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | stat.fit;stat.stdev |
| sigd | vvvAstrometricInfo | VVVv20110718 | Error on coefficient d | float | 8 | arcsec | -0.9999995e9 | ?? |
| sigDec | sharksVariability | SHARKSv20210222 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | sharksVariability | SHARKSv20210421 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | ultravistaVariability | ULTRAVISTADR4 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vhsSourceRemeasurement | VHSDR1 | Uncertainty in Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigDec | videoSourceRemeasurement | VIDEOv20100513 | Uncertainty in Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigDec | videoVariability | VIDEODR2 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | videoVariability | VIDEODR3 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | videoVariability | VIDEODR4 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | videoVariability | VIDEODR5 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | videoVariability | VIDEOv20100513 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | videoVariability | VIDEOv20111208 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vikingSourceRemeasurement | VIKINGv20110714 | Uncertainty in Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigDec | vikingSourceRemeasurement | VIKINGv20111019 | Uncertainty in Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigDec | vikingVariability | VIKINGDR2 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vikingVariability | VIKINGDR3 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vikingVariability | VIKINGDR4 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vikingVariability | VIKINGv20110714 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vikingVariability | VIKINGv20111019 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vikingVariability | VIKINGv20130417 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vikingVariability | VIKINGv20140402 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vikingVariability | VIKINGv20150421 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vikingVariability | VIKINGv20151230 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vikingVariability | VIKINGv20160406 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vikingVariability | VIKINGv20161202 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vikingVariability | VIKINGv20170715 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcSourceRemeasurement | VMCv20110816 | Uncertainty in Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigDec | vmcSourceRemeasurement | VMCv20110909 | Uncertainty in Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigDec | vmcVariability | VMCDR1 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCDR2 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCDR3 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCDR4 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCDR5 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20110816 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20110909 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20120126 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20121128 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20130304 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20130805 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20140428 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20140903 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20150309 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20151218 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20160311 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20160822 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20170109 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20170411 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20171101 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20180702 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20181120 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20191212 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20210708 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20230816 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcVariability | VMCv20240226 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vmcdeepVariability | VMCDEEPv20230713 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vvvSourceRemeasurement | VVVv20100531 | Uncertainty in Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigDec | vvvSourceRemeasurement | VVVv20110718 | Uncertainty in Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigDec | vvvVariability | VVVDR1 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vvvVariability | VVVDR2 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vvvVariability | VVVDR5 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vvvVariability | VVVv20100531 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigDec | vvvVariability | VVVv20110718 | Uncertainty in mean Dec | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigdec | allwise_sc | WISE | One-sigma uncertainty in declination coordinate from the non-moving source extraction. | float | 8 | arcsec | ||
| sigdec | catwise_2020, catwise_prelim | WISE | uncertainty in dec (arcsec) | real | 4 | arcsec | ||
| sigdec | wise_allskysc | WISE | One-sigma uncertainty in declination coordinate | real | 4 | arcsec | ||
| sigdec | wise_prelimsc | WISE | One-sigma uncertainty in declination coordinate CAUTION: The declination uncertainty is overestimated for the majority of sources in the Preliminary Release Source Catalog. Sigdec was computed by adding 0.5 arcsec in quadrature to the extraction measurement uncertainty to reflect the impact of the declination bias error known to affect a fraction of source fainter than W1~13.0 mag |
real | 4 | arcsec | ||
| sigdec_pm | allwise_sc | WISE | One-sigma uncertainty in declination from the profile-fitting measurement model that includes motion. This column is null if the motion-fit failed to converge or was not attempted. | float | 8 | arcsec | ||
| sigdec_pm | catwise_2020, catwise_prelim | WISE | uncertainty in dec_pm | real | 4 | arcsec | ||
| sigDecCen | ultravistaSourceRemeasurement | ULTRAVISTADR4 | Uncertainty in Dec of centroid | real | 4 | Degrees | -0.9999995e9 | stat.error;pos.eq.dec |
| sigDecCen | vikingZY_selJ_SourceRemeasurement | VIKINGZYSELJv20160909 | Uncertainty in Dec of centroid | real | 4 | Degrees | -0.9999995e9 | stat.error;pos.eq.dec |
| sigDecCen | vikingZY_selJ_SourceRemeasurement | VIKINGZYSELJv20170124 | Uncertainty in Dec of centroid | real | 4 | Degrees | -0.9999995e9 | stat.error;pos.eq.dec |
| sigMuDec | sharksVariability | SHARKSv20210222 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | sharksVariability | SHARKSv20210421 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | ultravistaVariability | ULTRAVISTADR4 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | videoVariability | VIDEODR2 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | videoVariability | VIDEODR3 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | videoVariability | VIDEODR4 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | videoVariability | VIDEODR5 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | videoVariability | VIDEOv20100513 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | videoVariability | VIDEOv20111208 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vikingVariability | VIKINGDR2 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vikingVariability | VIKINGDR3 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vikingVariability | VIKINGDR4 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vikingVariability | VIKINGv20110714 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vikingVariability | VIKINGv20111019 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vikingVariability | VIKINGv20130417 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vikingVariability | VIKINGv20140402 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vikingVariability | VIKINGv20150421 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vikingVariability | VIKINGv20151230 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vikingVariability | VIKINGv20160406 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vikingVariability | VIKINGv20161202 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vikingVariability | VIKINGv20170715 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCDR1 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCDR2 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCDR3 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCDR4 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCDR5 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20110816 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20110909 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20120126 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20121128 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20130304 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20130805 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20140428 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20140903 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20150309 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20151218 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20160311 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20160822 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20170109 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20170411 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20171101 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20180702 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20181120 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20191212 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20210708 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20230816 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcVariability | VMCv20240226 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vmcdeepVariability | VMCDEEPv20230713 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vvvVariability | VVVDR1 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vvvVariability | VVVDR2 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vvvVariability | VVVDR5 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vvvVariability | VVVv20100531 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuDec | vvvVariability | VVVv20110718 | Error on proper motion in Dec | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | sharksVariability | SHARKSv20210222 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | sharksVariability | SHARKSv20210421 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | ultravistaVariability | ULTRAVISTADR4 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | videoVariability | VIDEODR2 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | videoVariability | VIDEODR3 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | videoVariability | VIDEODR4 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | videoVariability | VIDEODR5 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | videoVariability | VIDEOv20100513 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | videoVariability | VIDEOv20111208 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vikingVariability | VIKINGDR2 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vikingVariability | VIKINGDR3 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vikingVariability | VIKINGDR4 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vikingVariability | VIKINGv20110714 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vikingVariability | VIKINGv20111019 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vikingVariability | VIKINGv20130417 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vikingVariability | VIKINGv20140402 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vikingVariability | VIKINGv20150421 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vikingVariability | VIKINGv20151230 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vikingVariability | VIKINGv20160406 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vikingVariability | VIKINGv20161202 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vikingVariability | VIKINGv20170715 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCDR1 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCDR2 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCDR3 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCDR4 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCDR5 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20110816 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20110909 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20120126 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20121128 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20130304 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20130805 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20140428 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20140903 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20150309 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20151218 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20160311 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20160822 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20170109 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20170411 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20171101 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20180702 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20181120 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20191212 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20210708 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20230816 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcVariability | VMCv20240226 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vmcdeepVariability | VMCDEEPv20230713 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vvvVariability | VVVDR1 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vvvVariability | VVVDR2 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vvvVariability | VVVDR5 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vvvVariability | VVVv20100531 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigMuRa | vvvVariability | VVVv20110718 | Error on proper motion in RA | real | 4 | mas/yr | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigPMDec | catwise_2020, catwise_prelim | WISE | uncertainty in PMDec | real | 4 | arcsec/yr | ||
| sigpmdec | allwise_sc | WISE | Uncertainty in the Dec motion estimated for this source. This column is null if the motion fit failed to converge or was not attempted. | int | 4 | mas/year | ||
| sigPMRA | catwise_2020, catwise_prelim | WISE | uncertainty in PMRA | real | 4 | arcsec/yr | ||
| sigpmra | allwise_sc | WISE | Uncertainty in the RA motion estimation. This column is null if the motion fit failed to converge or was not attempted. | int | 4 | mas/year | ||
| sigRa | sharksVariability | SHARKSv20210222 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | sharksVariability | SHARKSv20210421 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | ultravistaVariability | ULTRAVISTADR4 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vhsSourceRemeasurement | VHSDR1 | Uncertainty in RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigRa | videoSourceRemeasurement | VIDEOv20100513 | Uncertainty in RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigRa | videoVariability | VIDEODR2 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | videoVariability | VIDEODR3 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | videoVariability | VIDEODR4 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | videoVariability | VIDEODR5 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | videoVariability | VIDEOv20100513 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | videoVariability | VIDEOv20111208 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vikingSourceRemeasurement | VIKINGv20110714 | Uncertainty in RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigRa | vikingSourceRemeasurement | VIKINGv20111019 | Uncertainty in RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigRa | vikingVariability | VIKINGDR2 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vikingVariability | VIKINGDR3 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vikingVariability | VIKINGDR4 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vikingVariability | VIKINGv20110714 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vikingVariability | VIKINGv20111019 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vikingVariability | VIKINGv20130417 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vikingVariability | VIKINGv20140402 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vikingVariability | VIKINGv20150421 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vikingVariability | VIKINGv20151230 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vikingVariability | VIKINGv20160406 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vikingVariability | VIKINGv20161202 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vikingVariability | VIKINGv20170715 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcSourceRemeasurement | VMCv20110816 | Uncertainty in RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigRa | vmcSourceRemeasurement | VMCv20110909 | Uncertainty in RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigRa | vmcVariability | VMCDR1 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCDR2 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCDR3 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCDR4 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCDR5 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20110816 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20110909 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20120126 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20121128 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20130304 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20130805 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20140428 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20140903 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20150309 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20151218 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20160311 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20160822 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20170109 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20170411 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20171101 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20180702 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20181120 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20191212 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20210708 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20230816 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcVariability | VMCv20240226 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vmcdeepVariability | VMCDEEPv20230713 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vvvSourceRemeasurement | VVVv20100531 | Uncertainty in RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigRa | vvvSourceRemeasurement | VVVv20110718 | Uncertainty in RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| sigRa | vvvVariability | VVVDR1 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vvvVariability | VVVDR2 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vvvVariability | VVVDR5 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vvvVariability | VVVv20100531 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigRa | vvvVariability | VVVv20110718 | Uncertainty in mean RA | real | 4 | Degrees | -0.9999995e9 | stat.error |
| The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. | ||||||||
| sigra | allwise_sc | WISE | One-sigma uncertainty in right ascension coordinate from the non-moving source extraction. | float | 8 | arcsec | ||
| sigra | catwise_2020, catwise_prelim | WISE | uncertainty in ra (arcsec) | real | 4 | arcsec | ||
| sigra | wise_allskysc, wise_prelimsc | WISE | One-sigma uncertainty in right ascension coordinate | real | 4 | arcsec | ||
| sigra_pm | allwise_sc | WISE | One-sigma uncertainty in right ascension from the profile-fitting measurement model that includes motion. This column is null if the motion-fit failed to converge or was not attempted. | float | 8 | arcsec | ||
| sigra_pm | catwise_2020, catwise_prelim | WISE | uncertainty in ra_pm | real | 4 | arcsec | ||
| sigRaCen | ultravistaSourceRemeasurement | ULTRAVISTADR4 | Uncertainty in RA of centroid | real | 4 | Degrees | -0.9999995e9 | stat.error;pos.eq.ra |
| sigRaCen | vikingZY_selJ_SourceRemeasurement | VIKINGZYSELJv20160909 | Uncertainty in RA of centroid | real | 4 | Degrees | -0.9999995e9 | stat.error;pos.eq.ra |
| sigRaCen | vikingZY_selJ_SourceRemeasurement | VIKINGZYSELJv20170124 | Uncertainty in RA of centroid | real | 4 | Degrees | -0.9999995e9 | stat.error;pos.eq.ra |
| sigradec | allwise_sc | WISE | The co-sigma of the equatorial position uncertainties, sigra, sigdec (σα, σδ). The covariance between the position errors, Vαδ, can be derived from the quoted co-sigma, σαδ, by the formula Vαδ = σαδ×|σαδ|. This maintains the sign information for the covariance since σαδ may be negative. It is more natural to carry the co-sigma along with the other uncertainties instead of the covariance because the former is in the same units as the other uncertainties. | float | 8 | arcsec | ||
| sigradec | catwise_2020, catwise_prelim | WISE | uncertainty cross-term (arcsec) | real | 4 | arcsec | ||
| sigradec | wise_allskysc | WISE | The co-sigma of the equatorial position uncertainties, sig_ra, sig_dec (σα, σδ). The co-sigma is related to the covariance between the position errors Vαδ by the formula Vαδ = σαδ×|σαδ|. This maintains the sign information for the correlation, since σαδ may be negative. It is more natural to carry the co-sigma along with the other uncertainties instead of the covariance because the former is in the same units as the other uncertainties. | real | 4 | degrees | ||
| sigradec | wise_prelimsc | WISE | The co-sigma of the equatorial position uncertainties, (sig_ra, sig_dec) | real | 4 | degrees | ||
| sigradec_pm | allwise_sc | WISE | The co-sigma of the equatorial position uncertainties from the profile-fitting measurement model that includes motion, sigra_pm, sigdec_pm (σα_pm, σδ_pm). The covariance between the position errors, Vα_pmδ_pm, can be derived from the quoted co-sigma, σα_pmδ_pm, by the formula α_pmδ_pm = σα_pmδ_pm×|σα_pmδ_pm|. This maintains the sign information for the covariance since σα_pmδ_pm may be negative. It is more natural to carry the co-sigma along with the other uncertainties instead of the covariance because the former is in the same units as the other uncertainties. This column is null if the motion-fit failed to converge or was not attempted. | float | 8 | arcsec | ||
| sigradec_pm | catwise_2020, catwise_prelim | WISE | uncertainty cross-term | real | 4 | arcsec | ||
| skewness | phot_variable_time_series_g_fov_statistical_parameters | GAIADR1 | Standardized unweighted skewness of the G-band time series values | float | 8 | stat.value | ||
| sky | Detection | PS1DR2 | Background sky level. | real | 4 | Janskys/arcsec^2 | -999 | |
| sky | sharksDetection | SHARKSv20210222 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | sharksDetection | SHARKSv20210421 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | ultravistaDetection, ultravistaMapRemeasurement | ULTRAVISTADR4 | local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSDR2 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSDR3 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSDR4 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSDR5 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSDR6 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSv20120926 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSv20130417 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSv20140409 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSv20150108 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSv20160114 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSv20160507 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSv20170630 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSv20180419 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSv20201209 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection | VHSv20231101 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vhsDetection, vhsListRemeasurement | VHSDR1 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | videoDetection | VIDEODR2 | local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | videoDetection | VIDEODR3 | local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | videoDetection | VIDEODR4 | local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | videoDetection | VIDEODR5 | local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | videoDetection | VIDEOv20100513 | local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | videoDetection | VIDEOv20111208 | local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | videoListRemeasurement | VIDEOv20100513 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingDetection | VIKINGDR2 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingDetection | VIKINGDR3 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingDetection | VIKINGDR4 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingDetection | VIKINGv20111019 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingDetection | VIKINGv20130417 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingDetection | VIKINGv20140402 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingDetection | VIKINGv20150421 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingDetection | VIKINGv20151230 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingDetection | VIKINGv20160406 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingDetection | VIKINGv20161202 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingDetection | VIKINGv20170715 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingMapRemeasurement | VIKINGZYSELJv20160909 | local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vikingMapRemeasurement | VIKINGZYSELJv20170124 | local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCDR1 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCDR2 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCDR3 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCDR4 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCDR5 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20110909 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20120126 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20121128 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20130304 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20130805 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20140428 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20140903 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20150309 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20151218 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20160311 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20160822 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20170109 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20170411 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20171101 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20180702 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20181120 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20191212 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20210708 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20230816 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection | VMCv20240226 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcDetection, vmcListRemeasurement | VMCv20110816 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vmcdeepDetection | VMCDEEPv20230713 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vvvDetection | VVVDR1 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vvvDetection | VVVDR2 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vvvDetection, vvvDetectionPawPrints, vvvDetectionTiles | VVVDR5 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky | vvvDetection, vvvListRemeasurement | VVVv20100531 | local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} | real | 4 | ADU | instr.skyLevel | |
| sky1 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Local sky bkg. for band 1 flux | real | 4 | MJy/sr | -999.9 | |
| sky160 | sage_lmcMips160Source | SPITZER | Local sky background for band 160 | real | 4 | MJy/sr | ||
| sky2 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Local sky bkg. for band 2 flux | real | 4 | MJy/sr | -999.9 | |
| sky24 | sage_lmcMips24Source | SPITZER | Local sky background for band 24 | real | 4 | MJy/sr | ||
| sky3 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Local sky bkg. for band 3 flux | real | 4 | MJy/sr | -999.9 | |
| sky3_6 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | Local sky background for 3.6um IRAC (Band 1) | real | 4 | MJy/sr | -999.9 | |
| sky3_6 | sage_lmcIracSource | SPITZER | Local sky bkg. for band 3.6 | real | 4 | MJy/sr | ||
| sky3_6 | sage_smcIRACv1_5Source | SPITZER | Local sky background for 3.6um IRAC (Band 1). See Appendix B of GLIMPSE Photometry (v1.0) document. | real | 4 | MJy/sr | ||
| sky4 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Local sky bkg. for band 4 flux | real | 4 | MJy/sr | -999.9 | |
| sky4_5 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | Local sky background for 4.5um IRAC (Band 2) | real | 4 | MJy/sr | -999.9 | |
| sky4_5 | sage_lmcIracSource | SPITZER | Local sky bkg. for band 4.5 | real | 4 | MJy/sr | ||
| sky4_5 | sage_smcIRACv1_5Source | SPITZER | Local sky background for 4.5um IRAC (Band 2). See Appendix B of GLIMPSE Photometry (v1.0) document. | real | 4 | MJy/sr | ||
| sky5_8 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | Local sky background for 5.8um IRAC (Band 3) | real | 4 | MJy/sr | -999.9 | |
| sky5_8 | sage_lmcIracSource | SPITZER | Local sky bkg. for band 5.8 | real | 4 | MJy/sr | ||
| sky5_8 | sage_smcIRACv1_5Source | SPITZER | Local sky background for 5.8um IRAC (Band 3). See Appendix B of GLIMPSE Photometry (v1.0) document. | real | 4 | MJy/sr | ||
| sky70 | sage_lmcMips70Source | SPITZER | Local sky background for band 70 | real | 4 | MJy/sr | ||
| sky8_0 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | Local sky background for 8.0um IRAC (Band 4) | real | 4 | MJy/sr | -999.9 | |
| sky8_0 | sage_lmcIracSource | SPITZER | Local sky bkg. for band 8.0 | real | 4 | MJy/sr | ||
| sky8_0 | sage_smcIRACv1_5Source | SPITZER | Local sky background for 8.0um IRAC (Band 4). See Appendix B of GLIMPSE Photometry (v1.0) document. | real | 4 | MJy/sr | ||
| skyAlgorithm | Multiframe | SHARKSv20210222 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | SHARKSv20210421 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | ULTRAVISTADR4 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSDR1 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSDR2 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSDR3 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSDR4 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSDR5 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSDR6 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSv20120926 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSv20130417 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSv20140409 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSv20150108 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSv20160114 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSv20160507 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSv20170630 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSv20180419 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSv20201209 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VHSv20231101 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIDEODR2 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIDEODR3 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIDEODR4 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIDEODR5 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIDEOv20100513 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIDEOv20111208 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIKINGDR2 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIKINGDR3 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIKINGDR4 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIKINGv20110714 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIKINGv20111019 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIKINGv20130417 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIKINGv20140402 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIKINGv20150421 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIKINGv20151230 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIKINGv20160406 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIKINGv20161202 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VIKINGv20170715 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCDEEPv20230713 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCDR1 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCDR2 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCDR3 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCDR4 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCDR5 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20110816 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20110909 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20120126 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20121128 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20130304 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20130805 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20140428 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20140903 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20150309 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20151218 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20160311 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20160822 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20170109 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20170411 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20171101 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20180702 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20181120 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20191212 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20210708 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20230816 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VMCv20240226 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VVVDR1 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VVVDR2 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VVVDR5 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VVVXDR1 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VVVv20100531 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | Multiframe | VVVv20110718 | Sky estimation algorithm {image primary HDU keyword: SKYALGO} | varchar | 64 | NONE | ||
| skyAlgorithm | sharksMultiframe, ultravistaMultiframe, vhsMultiframe, videoMultiframe, vikingMultiframe, vmcMultiframe, vvvMultiframe | VSAQC | Sky estimation algorithm | varchar | 64 | NONE | ||
| skyCellID | ObjectThin | PS1DR2 | Skycell region identifier. | tinyint | 1 | 255 | meta.id | |
| skyCellID | StackObjectThin | PS1DR2 | Skycell region identifier. | tinyint | 1 | 255 | ||
| skyCorrCat | MultiframeDetector | SHARKSv20210222 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | SHARKSv20210421 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | ULTRAVISTADR4 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSDR1 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSDR2 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSDR3 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSDR4 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSDR5 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSDR6 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSv20120926 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSv20130417 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSv20140409 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSv20150108 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSv20160114 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSv20160507 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSv20170630 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSv20180419 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSv20201209 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VHSv20231101 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIDEODR2 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIDEODR3 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIDEODR4 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIDEODR5 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIDEOv20100513 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIDEOv20111208 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIKINGDR2 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIKINGDR3 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIKINGDR4 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIKINGv20110714 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIKINGv20111019 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIKINGv20130417 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIKINGv20140402 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIKINGv20150421 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIKINGv20151230 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIKINGv20160406 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIKINGv20161202 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VIKINGv20170715 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCDEEPv20230713 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCDR1 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCDR2 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCDR3 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCDR4 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCDR5 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20110816 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20110909 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20120126 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20121128 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20130304 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20130805 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20140428 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20140903 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20150309 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20151218 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20160311 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20160822 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20170109 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20170411 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20171101 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20180702 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20181120 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20191212 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20210708 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20230816 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VMCv20240226 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VVVDR1 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VVVDR2 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VVVDR5 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VVVXDR1 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VVVv20100531 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | MultiframeDetector | VVVv20110718 | Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrCat | sharksMultiframeDetector, ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector | VSAQC | Percentage sky correction for the catalogue data | real | 4 | -0.9999995e9 | ?? | |
| skyCorrExt | MultiframeDetector | SHARKSv20210222 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | SHARKSv20210421 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | ULTRAVISTADR4 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSDR1 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSDR2 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSDR3 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSDR4 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSDR5 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSDR6 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSv20120926 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSv20130417 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSv20140409 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSv20150108 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSv20160114 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSv20160507 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSv20170630 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSv20180419 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSv20201209 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VHSv20231101 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIDEODR2 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIDEODR3 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIDEODR4 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIDEODR5 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIDEOv20100513 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIDEOv20111208 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIKINGDR2 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIKINGDR3 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIKINGDR4 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIKINGv20110714 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIKINGv20111019 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIKINGv20130417 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIKINGv20140402 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIKINGv20150421 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIKINGv20151230 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIKINGv20160406 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIKINGv20161202 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VIKINGv20170715 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCDEEPv20230713 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCDR1 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCDR2 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCDR3 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCDR4 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCDR5 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20110816 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20110909 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20120126 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20121128 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20130304 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20130805 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20140428 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20140903 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20150309 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20151218 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20160311 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20160822 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20170109 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20170411 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20171101 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20180702 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20181120 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20191212 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20210708 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20230816 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VMCv20240226 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VVVDR1 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VVVDR2 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VVVDR5 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VVVXDR1 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VVVv20100531 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | MultiframeDetector | VVVv20110718 | Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log10(flux) + aperCor + skyCorr |
real | 4 | -0.9999995e9 | ?? | |
| This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. | ||||||||
| skyCorrExt | sharksMultiframeDetector, ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector | VSAQC | Percentage sky correction of the detector | real | 4 | -0.9999995e9 | ?? | |
| skyErr | Detection | PS1DR2 | Error in background sky level. | real | 4 | Janskys/arcsec^2 | -999 | |
| skyID | Multiframe | SHARKSv20210222 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | SHARKSv20210421 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | ULTRAVISTADR4 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSDR1 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSDR2 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSDR3 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSDR4 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSDR5 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSDR6 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSv20120926 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSv20130417 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSv20140409 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSv20150108 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSv20160114 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSv20160507 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSv20170630 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSv20180419 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSv20201209 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VHSv20231101 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIDEODR2 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIDEODR3 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIDEODR4 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIDEODR5 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIDEOv20100513 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIDEOv20111208 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIKINGDR2 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIKINGDR3 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIKINGDR4 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIKINGv20110714 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIKINGv20111019 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIKINGv20130417 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIKINGv20140402 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIKINGv20150421 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIKINGv20151230 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIKINGv20160406 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIKINGv20161202 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VIKINGv20170715 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCDEEPv20230713 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCDR1 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCDR2 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCDR3 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCDR4 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCDR5 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20110816 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20110909 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20120126 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20121128 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20130304 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20130805 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20140428 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20140903 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20150309 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20151218 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20160311 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20160822 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20170109 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20170411 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20171101 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20180702 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20181120 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20191212 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20210708 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20230816 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VMCv20240226 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VVVDR1 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VVVDR2 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VVVDR5 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VVVXDR1 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VVVv20100531 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | Multiframe | VVVv20110718 | UID of library calibration sky sub frame {image extension keyword: SKYSUB} | bigint | 8 | -99999999 | obs.field | |
| skyID | sharksMultiframe, ultravistaMultiframe, vhsMultiframe, videoMultiframe, vikingMultiframe, vmcMultiframe, vvvMultiframe | VSAQC | UID of library calibration sky sub frame | bigint | 8 | -99999999 | obs.field | |
| skyLevel | MultiframeDetector | SHARKSv20210222 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | SHARKSv20210421 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | ULTRAVISTADR4 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSDR1 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSDR2 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSDR3 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSDR4 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSDR5 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSDR6 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSv20120926 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSv20130417 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSv20140409 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSv20150108 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSv20160114 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSv20160507 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSv20170630 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSv20180419 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSv20201209 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VHSv20231101 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIDEODR2 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIDEODR3 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIDEODR4 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIDEODR5 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIDEOv20100513 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIDEOv20111208 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIKINGDR2 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIKINGDR3 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIKINGDR4 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIKINGv20110714 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIKINGv20111019 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIKINGv20130417 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIKINGv20140402 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIKINGv20150421 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIKINGv20151230 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIKINGv20160406 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIKINGv20161202 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VIKINGv20170715 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCDEEPv20230713 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCDR1 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCDR2 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCDR3 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCDR4 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCDR5 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20110816 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20110909 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20120126 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20121128 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20130304 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20130805 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20140428 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20140903 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20150309 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20151218 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20160311 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20160822 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20170109 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20170411 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20171101 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20180702 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20181120 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20191212 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20210708 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20230816 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VMCv20240226 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VVVDR1 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VVVDR2 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VVVDR5 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VVVXDR1 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VVVv20100531 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | MultiframeDetector | VVVv20110718 | Median sky brightness {catalogue extension keyword: SKYLEVEL} | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| An automatic 2D background-following algorithm is used to track and "remove" slowly varying background features such as image gradients etc.. The default scale size for background tracking (NBSIZE) is currently set to 64 pixels, coupled with a smidge of non-linear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). | ||||||||
| skyLevel | sharksMultiframeDetector, ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector | VSAQC | Median sky brightness | real | 4 | counts/pixel | -0.9999995e9 | ?? |
| skyNoise | MultiframeDetector | SHARKSv20210222 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | SHARKSv20210421 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | ULTRAVISTADR4 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSDR1 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSDR2 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSDR3 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSDR4 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSDR5 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSDR6 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSv20120926 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSv20130417 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSv20140409 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSv20150108 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSv20160114 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSv20160507 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSv20170630 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSv20180419 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSv20201209 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VHSv20231101 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIDEODR2 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIDEODR3 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIDEODR4 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIDEODR5 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIDEOv20100513 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIDEOv20111208 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIKINGDR2 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIKINGDR3 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIKINGDR4 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIKINGv20110714 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIKINGv20111019 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIKINGv20130417 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIKINGv20140402 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIKINGv20150421 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIKINGv20151230 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIKINGv20160406 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIKINGv20161202 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VIKINGv20170715 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCDEEPv20230713 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCDR1 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCDR2 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCDR3 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCDR4 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCDR5 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20110816 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20110909 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20120126 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20121128 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20130304 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20130805 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20140428 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20140903 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20150309 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20151218 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20160311 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20160822 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20170109 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20170411 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20171101 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20180702 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20181120 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20191212 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20210708 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20230816 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VMCv20240226 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VVVDR1 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VVVDR2 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VVVDR5 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VVVXDR1 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VVVv20100531 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | MultiframeDetector | VVVv20110718 | Pixel noise at sky level {catalogue extension keyword: SKYNOISE} | real | 4 | counts | -0.9999995e9 | ?? |
| Robust MAD estimator for noise scaled to equivalent Gaussian rms value ie. = MAD × 1.48 after removing large scale sky background variations. MAD = Median of the Absolute Deviations about the median. | ||||||||
| skyNoise | sharksMultiframeDetector, ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector | VSAQC | Pixel noise at sky level | real | 4 | counts | -0.9999995e9 | ?? |
| skySubScale | MultiframeDetector | SHARKSv20210222 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | SHARKSv20210421 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | ULTRAVISTADR4 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSDR1 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSDR2 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSDR3 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSDR4 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSDR5 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSDR6 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSv20120926 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSv20130417 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSv20140409 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSv20150108 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSv20160114 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSv20160507 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSv20170630 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSv20180419 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSv20201209 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VHSv20231101 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIDEODR2 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIDEODR3 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIDEODR4 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIDEODR5 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIDEOv20100513 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIDEOv20111208 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIKINGDR2 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIKINGDR3 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIKINGDR4 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIKINGv20110714 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIKINGv20111019 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIKINGv20130417 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIKINGv20140402 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIKINGv20150421 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIKINGv20151230 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIKINGv20160406 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIKINGv20161202 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VIKINGv20170715 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCDEEPv20230713 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCDR1 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCDR2 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCDR3 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCDR4 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCDR5 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20110816 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20110909 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20120126 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20121128 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20130304 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20130805 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20140428 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20140903 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20150309 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20151218 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20160311 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20160822 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20170109 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20170411 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20171101 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20180702 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20181120 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20191212 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20210708 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20230816 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VMCv20240226 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VVVDR1 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VVVDR2 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VVVDR5 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VVVXDR1 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VVVv20100531 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | MultiframeDetector | VVVv20110718 | Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} | float | 8 | -0.9999995e9 | ?? | |
| skySubScale | sharksMultiframeDetector, ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector | VSAQC | Scale factor applied to sky subtraction image | float | 8 | -0.9999995e9 | ?? | |
| skyVar | sharksDetection | SHARKSv20210222 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | sharksDetection | SHARKSv20210421 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | ultravistaDetection, ultravistaMapRemeasurement | ULTRAVISTADR4 | local estimate of variation in sky level around image (SE: THRESHOLD) {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSDR2 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSDR3 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSDR4 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSDR5 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSDR6 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSv20120926 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSv20130417 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSv20140409 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSv20150108 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSv20160114 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSv20160507 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSv20170630 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSv20180419 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSv20201209 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection | VHSv20231101 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vhsDetection, vhsListRemeasurement | VHSDR1 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | videoDetection | VIDEODR2 | local estimate of variation in sky level around image (SE: THRESHOLD) {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | videoDetection | VIDEODR3 | local estimate of variation in sky level around image (SE: THRESHOLD) {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | videoDetection | VIDEODR4 | local estimate of variation in sky level around image (SE: THRESHOLD) {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | videoDetection | VIDEODR5 | local estimate of variation in sky level around image (SE: THRESHOLD) {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | videoDetection | VIDEOv20100513 | local estimate of variation in sky level around image (SE: THRESHOLD) {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | videoDetection | VIDEOv20111208 | local estimate of variation in sky level around image (SE: THRESHOLD) {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | videoListRemeasurement | VIDEOv20100513 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingDetection | VIKINGDR2 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingDetection | VIKINGDR3 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingDetection | VIKINGDR4 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingDetection | VIKINGv20111019 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingDetection | VIKINGv20130417 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingDetection | VIKINGv20140402 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingDetection | VIKINGv20150421 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingDetection | VIKINGv20151230 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingDetection | VIKINGv20160406 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingDetection | VIKINGv20161202 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingDetection | VIKINGv20170715 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingDetection, vikingListRemeasurement | VIKINGv20110714 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingMapRemeasurement | VIKINGZYSELJv20160909 | local estimate of variation in sky level around image (SE: THRESHOLD) {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vikingMapRemeasurement | VIKINGZYSELJv20170124 | local estimate of variation in sky level around image (SE: THRESHOLD) {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCDR1 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCDR2 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCDR3 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCDR4 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCDR5 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20110909 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20120126 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20121128 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20130304 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20130805 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20140428 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20140903 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20150309 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20151218 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20160311 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20160822 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20170109 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20170411 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20171101 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20180702 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20181120 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20191212 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20210708 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20230816 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection | VMCv20240226 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcDetection, vmcListRemeasurement | VMCv20110816 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vmcdeepDetection | VMCDEEPv20230713 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vvvDetection | VVVDR1 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vvvDetection | VVVDR2 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vvvDetection, vvvDetectionPawPrints, vvvDetectionTiles | VVVDR5 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| skyVar | vvvDetection, vvvListRemeasurement | VVVv20100531 | local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} | real | 4 | ADU | instr.skyLevel | |
| slaveObjID | sharksSourceNeighbours | SHARKSv20210222 | The unique ID of the neighbour in sharksSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceNeighbours | SHARKSv20210421 | The unique ID of the neighbour in sharksSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXDetection | SHARKSv20210222 | The unique ID of the neighbour in sharksDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXDetection | SHARKSv20210421 | The unique ID of the neighbour in sharksDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXSSASource | SHARKSv20210222 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXSSASource | SHARKSv20210421 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXallwise_sc | SHARKSv20210222 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXallwise_sc | SHARKSv20210421 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXtwomass_psc | SHARKSv20210222 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXtwomass_psc | SHARKSv20210421 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXtwompzPhotoz | SHARKSv20210222 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXtwompzPhotoz | SHARKSv20210421 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXwiseScosPhotoz | SHARKSv20210222 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXwiseScosPhotoz | SHARKSv20210421 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXwise_allskysc | SHARKSv20210222 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | sharksSourceXwise_allskysc | SHARKSv20210421 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | ultravistaSourceNeighbours | ULTRAVISTADR4 | The unique ID of the neighbour in ultravistaSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | ultravistaSourceXDR13PhotoObj | ULTRAVISTADR4 | The unique ID of the neighbour in BestDR13..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | ultravistaSourceXDR13PhotoObjAll | ULTRAVISTADR4 | The unique ID of the neighbour in BestDR13..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | ultravistaSourceXDetection | ULTRAVISTADR4 | The unique ID of the neighbour in ultravistaDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | ultravistaSourceXGDR2gaia_source | ULTRAVISTADR4 | The unique ID of the neighbour in GAIADR2..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | ultravistaSourceXSSASource | ULTRAVISTADR4 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | ultravistaSourceXallwise_sc | ULTRAVISTADR4 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | ultravistaSourceXravedr5Source | ULTRAVISTADR4 | The unique ID of the neighbour in RAVE..ravedr5Source (=SourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | ultravistaSourceXtwomass_psc | ULTRAVISTADR4 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | ultravistaSourceXtwompzPhotoz | ULTRAVISTADR4 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | ultravistaSourceXwiseScosPhotoz | ULTRAVISTADR4 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | ultravistaSourceXwise_allskysc | ULTRAVISTADR4 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSDR1 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSDR2 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSDR3 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSDR4 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSDR5 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSDR6 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSv20120926 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSv20130417 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSv20140409 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSv20150108 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSv20160114 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSv20160507 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSv20170630 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSv20180419 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSv20201209 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceNeighbours | VHSv20231101 | The unique ID of the neighbour in vhsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXAtlasDR1Source | VHSDR2 | The unique ID of the neighbour in ATLASDR1..atlasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR10lasSource | VHSv20180419 | The unique ID of the neighbour in UKIDSSDR10PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR10lasSource | VHSv20201209 | The unique ID of the neighbour in UKIDSSDR10PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR10lasSource | VHSv20231101 | The unique ID of the neighbour in UKIDSSDR10PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR13PhotoObj | VHSv20180419 | The unique ID of the neighbour in BestDR13..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR13PhotoObj | VHSv20201209 | The unique ID of the neighbour in BestDR13..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR13PhotoObj | VHSv20231101 | The unique ID of the neighbour in BestDR13..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR13PhotoObjAll | VHSv20180419 | The unique ID of the neighbour in BestDR13..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR13PhotoObjAll | VHSv20201209 | The unique ID of the neighbour in BestDR13..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR13PhotoObjAll | VHSv20231101 | The unique ID of the neighbour in BestDR13..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSDR1 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSDR2 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSDR3 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSDR4 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSDR5 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSDR6 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSv20120926 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSv20130417 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSv20140409 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSv20150108 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSv20160114 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSv20160507 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSv20170630 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSv20180419 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSv20201209 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR5lasSource | VHSv20231101 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSDR1 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSDR2 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSDR3 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSDR4 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSDR5 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSDR6 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSv20120926 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSv20130417 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSv20140409 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSv20150108 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSv20160114 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSv20160507 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSv20170630 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSv20180419 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSv20201209 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObj | VHSv20231101 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSDR1 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSDR2 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSDR3 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSDR4 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSDR5 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSDR6 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSv20120926 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSv20130417 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSv20140409 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSv20150108 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSv20160114 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSv20160507 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSv20170630 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSv20180419 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSv20201209 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR7PhotoObjAll | VHSv20231101 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSDR1 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSDR2 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSDR3 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSDR4 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSDR5 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSDR6 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSv20120926 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSv20130417 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSv20140409 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSv20150108 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSv20160114 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSv20160507 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXDR8lasSource | VHSv20170630 | The unique ID of the neighbour in UKIDSSDR8PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXGDR1gaia_source | VHSDR6 | The unique ID of the neighbour in GAIADR1..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXGDR1gaia_source | VHSv20170630 | The unique ID of the neighbour in GAIADR1..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXGDR1gaia_source | VHSv20180419 | The unique ID of the neighbour in GAIADR1..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXGDR1gaia_source | VHSv20201209 | The unique ID of the neighbour in GAIADR1..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXGDR1gaia_source | VHSv20231101 | The unique ID of the neighbour in GAIADR1..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXGDR1tgas_source | VHSDR6 | The unique ID of the neighbour in GAIADR1..tgas_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXGDR1tgas_source | VHSv20170630 | The unique ID of the neighbour in GAIADR1..tgas_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXGDR1tgas_source | VHSv20180419 | The unique ID of the neighbour in GAIADR1..tgas_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXGDR1tgas_source | VHSv20201209 | The unique ID of the neighbour in GAIADR1..tgas_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXGDR1tgas_source | VHSv20231101 | The unique ID of the neighbour in GAIADR1..tgas_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXGDR2gaia_source | VHSv20201209 | The unique ID of the neighbour in GAIADR2..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXGDR2gaia_source | VHSv20231101 | The unique ID of the neighbour in GAIADR2..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSDR1 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSDR2 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSDR3 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSDR4 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSDR5 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSDR6 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSv20120926 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSv20130417 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSv20140409 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSv20150108 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSv20160114 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSv20160507 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSv20170630 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSv20180419 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSv20201209 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXPawPrints | VHSv20231101 | The unique ID of the neighbour in vhsDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSKYMAP_masterDR2 | VHSv20201209 | The unique ID of the neighbour in SKYMAPPER..masterDR2 (=object_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSKYMAP_masterDR2 | VHSv20231101 | The unique ID of the neighbour in SKYMAPPER..masterDR2 (=object_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSDR1 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSDR2 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSDR3 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSDR4 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSDR5 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSDR6 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSv20120926 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSv20130417 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSv20140409 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSv20150108 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSv20160114 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSv20160507 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSv20170630 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSv20180419 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSv20201209 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSSASource | VHSv20231101 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObj | VHSDR1 | The unique ID of the neighbour in SEGUEDR6..PhotoObj (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObj | VHSDR2 | The unique ID of the neighbour in SEGUEDR6..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObj | VHSDR3 | The unique ID of the neighbour in SEGUEDR6..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObj | VHSDR4 | The unique ID of the neighbour in SEGUEDR6..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObj | VHSDR5 | The unique ID of the neighbour in SEGUEDR6..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObj | VHSv20120926 | The unique ID of the neighbour in SEGUEDR6..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObj | VHSv20130417 | The unique ID of the neighbour in SEGUEDR6..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObj | VHSv20140409 | The unique ID of the neighbour in SEGUEDR6..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObj | VHSv20150108 | The unique ID of the neighbour in SEGUEDR6..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObj | VHSv20160114 | The unique ID of the neighbour in SEGUEDR6..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObj | VHSv20160507 | The unique ID of the neighbour in SEGUEDR6..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObj | VHSv20170630 | The unique ID of the neighbour in SEGUEDR6..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObjAll | VHSDR1 | The unique ID of the neighbour in SEGUEDR6..PhotoObjAll (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObjAll | VHSDR2 | The unique ID of the neighbour in SEGUEDR6..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObjAll | VHSDR3 | The unique ID of the neighbour in SEGUEDR6..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObjAll | VHSDR4 | The unique ID of the neighbour in SEGUEDR6..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObjAll | VHSDR5 | The unique ID of the neighbour in SEGUEDR6..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObjAll | VHSv20120926 | The unique ID of the neighbour in SEGUEDR6..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObjAll | VHSv20130417 | The unique ID of the neighbour in SEGUEDR6..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObjAll | VHSv20140409 | The unique ID of the neighbour in SEGUEDR6..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObjAll | VHSv20150108 | The unique ID of the neighbour in SEGUEDR6..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObjAll | VHSv20160114 | The unique ID of the neighbour in SEGUEDR6..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObjAll | VHSv20160507 | The unique ID of the neighbour in SEGUEDR6..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXSegueDR6PhotoObjAll | VHSv20170630 | The unique ID of the neighbour in SEGUEDR6..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSDR1 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSDR2 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSDR3 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSDR4 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSDR5 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSDR6 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSv20120926 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSv20130417 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSv20140409 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSv20150108 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSv20160114 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSv20160507 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSv20170630 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSv20180419 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSv20201209 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXStripe82PhotoObjAll | VHSv20231101 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXallwise_sc | VHSDR4 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXallwise_sc | VHSDR5 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXallwise_sc | VHSDR6 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXallwise_sc | VHSv20150108 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXallwise_sc | VHSv20160114 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXallwise_sc | VHSv20160507 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXallwise_sc | VHSv20170630 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXallwise_sc | VHSv20180419 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXallwise_sc | VHSv20201209 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXallwise_sc | VHSv20231101 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXatlasDR1 | VHSDR4 | The unique ID of the neighbour in ATLASDR1..atlasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXatlasDR1 | VHSDR5 | The unique ID of the neighbour in ATLASDR1..atlasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXatlasDR1 | VHSDR6 | The unique ID of the neighbour in ATLASDR1..atlasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXatlasDR1 | VHSv20160114 | The unique ID of the neighbour in ATLASDR1..atlasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXatlasDR1 | VHSv20160507 | The unique ID of the neighbour in ATLASDR1..atlasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXatlasDR1 | VHSv20170630 | The unique ID of the neighbour in ATLASDR1..atlasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXatlasDR3 | VHSv20180419 | The unique ID of the neighbour in ATLASDR3..atlasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXatlasDR3 | VHSv20201209 | The unique ID of the neighbour in ATLASDR3..atlasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXatlasDR3 | VHSv20231101 | The unique ID of the neighbour in ATLASDR3..atlasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSDR1 | The unique ID of the neighbour in FIRST..firstSource (=seqNo) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSDR2 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSDR3 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSDR4 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSDR5 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSDR6 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSv20130417 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSv20140409 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSv20150108 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSv20160114 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSv20160507 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSv20170630 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSv20180419 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSv20201209 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource | VHSv20231101 | The unique ID of the neighbour in FIRST..firstSource12Feb16 (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXfirstSource12Feb16 | VHSv20120926 | The unique ID of the neighbour in FIRST..firstSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSDR1 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSDR2 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSDR3 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSDR4 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSDR5 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSDR6 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSv20120926 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSv20130417 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSv20140409 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSv20150108 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSv20160114 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSv20160507 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSv20170630 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSv20180419 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSv20201209 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXiras_psc | VHSv20231101 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSDR1 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSDR2 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSDR3 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSDR4 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSDR5 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSDR6 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSv20120926 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSv20130417 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSv20140409 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSv20150108 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSv20160114 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSv20160507 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSv20170630 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSv20180419 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSv20201209 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXmgcDetection | VHSv20231101 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXnvssSource | VHSDR1 | The unique ID of the neighbour in NVSS..nvssSource (=seqNo) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXnvssSource | VHSv20120926 | The unique ID of the neighbour in NVSS..nvssSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXnvssSource | VHSv20130417 | The unique ID of the neighbour in NVSS..nvssSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSDR1 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSDR2 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSDR3 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSDR4 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSDR5 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSDR6 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSv20120926 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSv20130417 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSv20140409 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSv20150108 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSv20160114 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSv20160507 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSv20170630 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSv20180419 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSv20201209 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_bsc | VHSv20231101 | The unique ID of the neighbour in ROSAT..rosat_bsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSDR1 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSDR2 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSDR3 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSDR4 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSDR5 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSDR6 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSv20120926 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSv20130417 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSv20140409 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSv20150108 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSv20160114 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSv20160507 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSv20170630 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSv20180419 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSv20201209 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXrosat_fsc | VHSv20231101 | The unique ID of the neighbour in ROSAT..rosat_fsc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSDR1 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSDR2 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSDR3 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSDR4 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSDR5 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSDR6 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSv20120926 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSv20130417 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSv20140409 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSv20150108 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSv20160114 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSv20160507 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSv20170630 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSv20180419 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSv20201209 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_psc | VHSv20231101 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSDR1 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSDR2 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSDR3 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSDR4 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSDR5 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSDR6 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSv20120926 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSv20130417 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSv20140409 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSv20150108 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSv20160114 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSv20160507 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSv20170630 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSv20180419 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSv20201209 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_sixx2_xsc | VHSv20231101 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSDR1 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSDR2 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSDR3 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSDR4 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSDR5 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSDR6 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSv20120926 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSv20130417 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSv20140409 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSv20150108 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSv20160114 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSv20160507 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSv20170630 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSv20180419 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSv20201209 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwomass_xsc | VHSv20231101 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwompzPhotoz | VHSDR5 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwompzPhotoz | VHSDR6 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwompzPhotoz | VHSv20170630 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwompzPhotoz | VHSv20180419 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwompzPhotoz | VHSv20201209 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwompzPhotoz | VHSv20231101 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSDR1 | The unique ID of the neighbour in TWOXMM..twoxmm (=DETID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSDR2 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSDR3 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSDR4 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSDR5 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSDR6 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSv20120926 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSv20130417 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSv20140409 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSv20150108 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSv20160114 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSv20160507 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSv20170630 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSv20180419 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSv20201209 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXtwoxmm | VHSv20231101 | The unique ID of the neighbour in TWOXMM..twoxmmi_dr3_v1_0 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwiseScosPhotoz | VHSDR5 | The unique ID of the neighbour in WISExSCOS..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwiseScosPhotoz | VHSDR6 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwiseScosPhotoz | VHSv20170630 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwiseScosPhotoz | VHSv20180419 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwiseScosPhotoz | VHSv20201209 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwiseScosPhotoz | VHSv20231101 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSDR2 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSDR3 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSDR4 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSDR5 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSDR6 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSv20120926 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSv20130417 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSv20140409 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSv20150108 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSv20160114 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSv20160507 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSv20170630 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSv20180419 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSv20201209 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_allskysc | VHSv20231101 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vhsSourceXwise_prelimsc | VHSDR1 | The unique ID of the neighbour in WISE..wise_prelimsc (=cntr) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceNeighbours | VIDEODR2 | The unique ID of the neighbour in videoSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceNeighbours | VIDEODR3 | The unique ID of the neighbour in videoSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceNeighbours | VIDEODR4 | The unique ID of the neighbour in videoSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceNeighbours | VIDEODR5 | The unique ID of the neighbour in videoSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceNeighbours | VIDEOv20100513 | The unique ID of the neighbour in videoSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceNeighbours | VIDEOv20111208 | The unique ID of the neighbour in videoSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXDetection | VIDEODR2 | The unique ID of the neighbour in videoDetection table (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXDetection | VIDEODR3 | The unique ID of the neighbour in videoDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXDetection | VIDEODR4 | The unique ID of the neighbour in videoDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXDetection | VIDEODR5 | The unique ID of the neighbour in videoDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXDetection | VIDEOv20100513 | The unique ID of the neighbour in videoDetection table (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXDetection | VIDEOv20111208 | The unique ID of the neighbour in videoDetection table (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXSSASource | VIDEODR2 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXSSASource | VIDEODR3 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXSSASource | VIDEODR4 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXSSASource | VIDEODR5 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXSSASource | VIDEOv20100513 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXSSASource | VIDEOv20111208 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXStripe82PhotoObjAll | VIDEODR2 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXStripe82PhotoObjAll | VIDEODR3 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXStripe82PhotoObjAll | VIDEODR4 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXStripe82PhotoObjAll | VIDEODR5 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXStripe82PhotoObjAll | VIDEOv20100513 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXStripe82PhotoObjAll | VIDEOv20111208 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXallwise_sc | VIDEODR4 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXallwise_sc | VIDEODR5 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXtwomass_psc | VIDEODR2 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXtwomass_psc | VIDEODR3 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXtwomass_psc | VIDEODR4 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXtwomass_psc | VIDEODR5 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXtwomass_psc | VIDEOv20100513 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXtwomass_psc | VIDEOv20111208 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXtwomass_xsc | VIDEODR2 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXtwomass_xsc | VIDEODR3 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXtwomass_xsc | VIDEODR4 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXtwomass_xsc | VIDEODR5 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXtwomass_xsc | VIDEOv20100513 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXtwomass_xsc | VIDEOv20111208 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXwise_allskysc | VIDEODR3 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXwise_allskysc | VIDEODR4 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXwise_allskysc | VIDEODR5 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | videoSourceXwise_prelimsc | VIDEODR2 | The unique ID of the neighbour in WISE..wise_prelimsc (=cntr) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | videoSourceXwise_prelimsc | VIDEOv20111208 | The unique ID of the neighbour in WISE..wise_prelimsc (=cntr) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceNeighbours | VIKINGDR2 | The unique ID of the neighbour in vikingSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceNeighbours | VIKINGDR3 | The unique ID of the neighbour in vikingSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceNeighbours | VIKINGDR4 | The unique ID of the neighbour in vikingSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceNeighbours | VIKINGv20110714 | The unique ID of the neighbour in vikingSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceNeighbours | VIKINGv20111019 | The unique ID of the neighbour in vikingSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceNeighbours | VIKINGv20130417 | The unique ID of the neighbour in vikingSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceNeighbours | VIKINGv20140402 | The unique ID of the neighbour in vikingSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceNeighbours | VIKINGv20150421 | The unique ID of the neighbour in vikingSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceNeighbours | VIKINGv20151230 | The unique ID of the neighbour in vikingSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceNeighbours | VIKINGv20160406 | The unique ID of the neighbour in vikingSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceNeighbours | VIKINGv20161202 | The unique ID of the neighbour in vikingSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceNeighbours | VIKINGv20170715 | The unique ID of the neighbour in vikingSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXAtlasDR1Source | VIKINGDR3 | The unique ID of the neighbour in ATLASDR1..atlasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR5lasSource | VIKINGDR2 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXDR5lasSource | VIKINGDR3 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR5lasSource | VIKINGDR4 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR5lasSource | VIKINGv20110714 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXDR5lasSource | VIKINGv20111019 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXDR5lasSource | VIKINGv20130417 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR5lasSource | VIKINGv20140402 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR5lasSource | VIKINGv20150421 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR5lasSource | VIKINGv20151230 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR5lasSource | VIKINGv20160406 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR5lasSource | VIKINGv20161202 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR5lasSource | VIKINGv20170715 | The unique ID of the neighbour in UKIDSSDR5PLUS..lasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObj | VIKINGDR2 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObj | VIKINGDR3 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObj | VIKINGDR4 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObj | VIKINGv20110714 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObj | VIKINGv20111019 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObj | VIKINGv20130417 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObj | VIKINGv20140402 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObj | VIKINGv20150421 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObj | VIKINGv20151230 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObj | VIKINGv20160406 | The unique ID of the neighbour in BestDR7..PhotoObj (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObjAll | VIKINGDR2 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObjAll | VIKINGDR3 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObjAll | VIKINGDR4 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObjAll | VIKINGv20110714 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObjAll | VIKINGv20111019 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObjAll | VIKINGv20130417 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObjAll | VIKINGv20140402 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObjAll | VIKINGv20150421 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObjAll | VIKINGv20151230 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDR7PhotoObjAll | VIKINGv20160406 | The unique ID of the neighbour in BestDR7..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDetection | VIKINGDR2 | The unique ID of the neighbour in vikingDetection table (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXDetection | VIKINGDR3 | The unique ID of the neighbour in vikingDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDetection | VIKINGDR4 | The unique ID of the neighbour in vikingDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDetection | VIKINGv20110714 | The unique ID of the neighbour in vikingDetection table (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXDetection | VIKINGv20111019 | The unique ID of the neighbour in vikingDetection table (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXDetection | VIKINGv20130417 | The unique ID of the neighbour in vikingDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDetection | VIKINGv20140402 | The unique ID of the neighbour in vikingDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDetection | VIKINGv20150421 | The unique ID of the neighbour in vikingDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDetection | VIKINGv20151230 | The unique ID of the neighbour in vikingDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDetection | VIKINGv20160406 | The unique ID of the neighbour in vikingDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDetection | VIKINGv20161202 | The unique ID of the neighbour in vikingDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXDetection | VIKINGv20170715 | The unique ID of the neighbour in vikingDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXGDR1gaia_source | VIKINGv20170715 | The unique ID of the neighbour in GAIADR1..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXGDR1tgas_source | VIKINGv20170715 | The unique ID of the neighbour in GAIADR1..tgas_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXSSASource | VIKINGDR2 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXSSASource | VIKINGDR3 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXSSASource | VIKINGDR4 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXSSASource | VIKINGv20110714 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXSSASource | VIKINGv20111019 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXSSASource | VIKINGv20130417 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXSSASource | VIKINGv20140402 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXSSASource | VIKINGv20150421 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXSSASource | VIKINGv20151230 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXSSASource | VIKINGv20160406 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXSSASource | VIKINGv20161202 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXSSASource | VIKINGv20170715 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXStripe82PhotoObjAll | VIKINGDR2 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXStripe82PhotoObjAll | VIKINGDR3 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXStripe82PhotoObjAll | VIKINGDR4 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXStripe82PhotoObjAll | VIKINGv20110714 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXStripe82PhotoObjAll | VIKINGv20111019 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXStripe82PhotoObjAll | VIKINGv20130417 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXStripe82PhotoObjAll | VIKINGv20140402 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXStripe82PhotoObjAll | VIKINGv20150421 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXStripe82PhotoObjAll | VIKINGv20151230 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXStripe82PhotoObjAll | VIKINGv20160406 | The unique ID of the neighbour in Stripe82..PhotoObjAll (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXallwise_sc | VIKINGv20150421 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXallwise_sc | VIKINGv20151230 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXallwise_sc | VIKINGv20160406 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXallwise_sc | VIKINGv20161202 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXallwise_sc | VIKINGv20170715 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ngpSource | VIKINGDR2 | The unique ID of the neighbour in TWODFGRS..grs_ngpSource (=SEQNUM) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ngpSource | VIKINGDR3 | The unique ID of the neighbour in TWODFGRS..grs_ngpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ngpSource | VIKINGDR4 | The unique ID of the neighbour in TWODFGRS..grs_ngpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ngpSource | VIKINGv20110714 | The unique ID of the neighbour in TWODFGRS..grs_ngpSource (=SEQNUM) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ngpSource | VIKINGv20111019 | The unique ID of the neighbour in TWODFGRS..grs_ngpSource (=SEQNUM) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ngpSource | VIKINGv20130417 | The unique ID of the neighbour in TWODFGRS..grs_ngpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ngpSource | VIKINGv20140402 | The unique ID of the neighbour in TWODFGRS..grs_ngpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ngpSource | VIKINGv20150421 | The unique ID of the neighbour in TWODFGRS..grs_ngpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ngpSource | VIKINGv20151230 | The unique ID of the neighbour in TWODFGRS..grs_ngpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ngpSource | VIKINGv20160406 | The unique ID of the neighbour in TWODFGRS..grs_ngpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ngpSource | VIKINGv20161202 | The unique ID of the neighbour in TWODFGRS..grs_ngpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ngpSource | VIKINGv20170715 | The unique ID of the neighbour in TWODFGRS..grs_ngpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ranSource | VIKINGDR2 | The unique ID of the neighbour in TWODFGRS..grs_ranSource (=SEQNUM) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ranSource | VIKINGDR3 | The unique ID of the neighbour in TWODFGRS..grs_ranSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ranSource | VIKINGDR4 | The unique ID of the neighbour in TWODFGRS..grs_ranSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ranSource | VIKINGv20110714 | The unique ID of the neighbour in TWODFGRS..grs_ranSource (=SEQNUM) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ranSource | VIKINGv20111019 | The unique ID of the neighbour in TWODFGRS..grs_ranSource (=SEQNUM) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ranSource | VIKINGv20130417 | The unique ID of the neighbour in TWODFGRS..grs_ranSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ranSource | VIKINGv20140402 | The unique ID of the neighbour in TWODFGRS..grs_ranSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ranSource | VIKINGv20150421 | The unique ID of the neighbour in TWODFGRS..grs_ranSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ranSource | VIKINGv20151230 | The unique ID of the neighbour in TWODFGRS..grs_ranSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ranSource | VIKINGv20160406 | The unique ID of the neighbour in TWODFGRS..grs_ranSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ranSource | VIKINGv20161202 | The unique ID of the neighbour in TWODFGRS..grs_ranSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_ranSource | VIKINGv20170715 | The unique ID of the neighbour in TWODFGRS..grs_ranSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_sgpSource | VIKINGDR2 | The unique ID of the neighbour in TWODFGRS..grs_sgpSource (=SEQNUM) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXgrs_sgpSource | VIKINGDR3 | The unique ID of the neighbour in TWODFGRS..grs_sgpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_sgpSource | VIKINGDR4 | The unique ID of the neighbour in TWODFGRS..grs_sgpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_sgpSource | VIKINGv20110714 | The unique ID of the neighbour in TWODFGRS..grs_sgpSource (=SEQNUM) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXgrs_sgpSource | VIKINGv20111019 | The unique ID of the neighbour in TWODFGRS..grs_sgpSource (=SEQNUM) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXgrs_sgpSource | VIKINGv20130417 | The unique ID of the neighbour in TWODFGRS..grs_sgpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_sgpSource | VIKINGv20140402 | The unique ID of the neighbour in TWODFGRS..grs_sgpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_sgpSource | VIKINGv20150421 | The unique ID of the neighbour in TWODFGRS..grs_sgpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_sgpSource | VIKINGv20151230 | The unique ID of the neighbour in TWODFGRS..grs_sgpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_sgpSource | VIKINGv20160406 | The unique ID of the neighbour in TWODFGRS..grs_sgpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_sgpSource | VIKINGv20161202 | The unique ID of the neighbour in TWODFGRS..grs_sgpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXgrs_sgpSource | VIKINGv20170715 | The unique ID of the neighbour in TWODFGRS..grs_sgpSource (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXmgcDetection | VIKINGDR2 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXmgcDetection | VIKINGDR3 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXmgcDetection | VIKINGDR4 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXmgcDetection | VIKINGv20110714 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXmgcDetection | VIKINGv20111019 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXmgcDetection | VIKINGv20130417 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXmgcDetection | VIKINGv20140402 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXmgcDetection | VIKINGv20150421 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXmgcDetection | VIKINGv20151230 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXmgcDetection | VIKINGv20160406 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXmgcDetection | VIKINGv20161202 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXmgcDetection | VIKINGv20170715 | The unique ID of the neighbour in MGC..mgcDetection (=MGCID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_psc | VIKINGDR2 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_psc | VIKINGDR3 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_psc | VIKINGDR4 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_psc | VIKINGv20110714 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_psc | VIKINGv20111019 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_psc | VIKINGv20130417 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_psc | VIKINGv20140402 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_psc | VIKINGv20150421 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_psc | VIKINGv20151230 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_psc | VIKINGv20160406 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_psc | VIKINGv20161202 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_psc | VIKINGv20170715 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_xsc | VIKINGDR2 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_xsc | VIKINGDR3 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_xsc | VIKINGDR4 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_xsc | VIKINGv20110714 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_xsc | VIKINGv20111019 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_xsc | VIKINGv20130417 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_xsc | VIKINGv20140402 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_xsc | VIKINGv20150421 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_xsc | VIKINGv20151230 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_xsc | VIKINGv20160406 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_xsc | VIKINGv20161202 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwomass_xsc | VIKINGv20170715 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwompzPhotoz | VIKINGv20161202 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXtwompzPhotoz | VIKINGv20170715 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXwiseScosPhotoz | VIKINGv20161202 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXwiseScosPhotoz | VIKINGv20170715 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXwise_allskysc | VIKINGDR3 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXwise_allskysc | VIKINGDR4 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXwise_allskysc | VIKINGv20130417 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXwise_allskysc | VIKINGv20140402 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXwise_allskysc | VIKINGv20150421 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXwise_allskysc | VIKINGv20151230 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXwise_allskysc | VIKINGv20160406 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXwise_allskysc | VIKINGv20161202 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXwise_allskysc | VIKINGv20170715 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vikingSourceXwise_prelimsc | VIKINGDR2 | The unique ID of the neighbour in WISE..wise_prelimsc (=cntr) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vikingSourceXwise_prelimsc | VIKINGv20111019 | The unique ID of the neighbour in WISE..wise_prelimsc (=cntr) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXGDR1gaia_source | VMCv20171101 | The unique ID of the neighbour in GAIADR1..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXGDR1gaia_source, vmcSourceXGDR1gaia_source | VMCv20170411 | The unique ID of the neighbour in GAIADR1..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXGDR1tgas_source | VMCv20171101 | The unique ID of the neighbour in GAIADR1..tgas_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXGDR1tgas_source, vmcSourceXGDR1tgas_source | VMCv20170411 | The unique ID of the neighbour in GAIADR1..tgas_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXSSASource | VMCv20160822 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXSSASource | VMCv20170109 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXSSASource | VMCv20170411 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXSSASource | VMCv20171101 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXSSASource, vmcSourceXSSASource | VMCDR4 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXakari_lmc_psa_v1 | VMCv20160822 | The unique ID of the neighbour in AKARI..akari_lmc_psa_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXakari_lmc_psa_v1 | VMCv20170109 | The unique ID of the neighbour in AKARI..akari_lmc_psa_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXakari_lmc_psa_v1 | VMCv20170411 | The unique ID of the neighbour in AKARI..akari_lmc_psa_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXakari_lmc_psa_v1 | VMCv20171101 | The unique ID of the neighbour in AKARI..akari_lmc_psa_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXakari_lmc_psa_v1, vmcSourceXakari_lmc_psa_v1 | VMCDR4 | The unique ID of the neighbour in AKARI..akari_lmc_psa_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXakari_lmc_psc_v1 | VMCv20160822 | The unique ID of the neighbour in AKARI..akari_lmc_psc_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXakari_lmc_psc_v1 | VMCv20170109 | The unique ID of the neighbour in AKARI..akari_lmc_psc_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXakari_lmc_psc_v1 | VMCv20170411 | The unique ID of the neighbour in AKARI..akari_lmc_psc_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXakari_lmc_psc_v1 | VMCv20171101 | The unique ID of the neighbour in AKARI..akari_lmc_psc_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXakari_lmc_psc_v1, vmcSourceXakari_lmc_psc_v1 | VMCDR4 | The unique ID of the neighbour in AKARI..akari_lmc_psc_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXallwise_sc | VMCv20160822 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXallwise_sc | VMCv20170109 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXallwise_sc | VMCv20170411 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXallwise_sc | VMCv20171101 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXallwise_sc, vmcSourceXallwise_sc | VMCDR4 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXdenisDR3Source | VMCv20160822 | The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXdenisDR3Source | VMCv20170109 | The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXdenisDR3Source | VMCv20170411 | The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXdenisDR3Source | VMCv20171101 | The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXdenisDR3Source, vmcSourceXdenisDR3Source | VMCDR4 | The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXeros2LMCSource | VMCv20160822 | The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXeros2LMCSource | VMCv20170109 | The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXeros2LMCSource | VMCv20170411 | The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXeros2LMCSource | VMCv20171101 | The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXeros2LMCSource, vmcSourceXeros2LMCSource | VMCDR4 | The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXeros2SMCSource | VMCv20160822 | The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXeros2SMCSource | VMCv20170109 | The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXeros2SMCSource | VMCv20170411 | The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXeros2SMCSource | VMCv20171101 | The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXeros2SMCSource, vmcSourceXeros2SMCSource | VMCDR4 | The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXerosLMCSource | VMCv20160822 | The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXerosLMCSource | VMCv20170109 | The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXerosLMCSource | VMCv20170411 | The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXerosLMCSource | VMCv20171101 | The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXerosLMCSource, vmcSourceXerosLMCSource | VMCDR4 | The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXerosSMCSource | VMCv20160822 | The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXerosSMCSource | VMCv20170109 | The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXerosSMCSource | VMCv20170411 | The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXerosSMCSource | VMCv20171101 | The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXerosSMCSource, vmcSourceXerosSMCSource | VMCDR4 | The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmachoLMCSource | VMCv20160822 | The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmachoLMCSource | VMCv20170109 | The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmachoLMCSource | VMCv20170411 | The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmachoLMCSource | VMCv20171101 | The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmachoLMCSource, vmcSourceXmachoLMCSource | VMCDR4 | The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmachoSMCSource | VMCv20160822 | The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmachoSMCSource | VMCv20170109 | The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmachoSMCSource | VMCv20170411 | The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmachoSMCSource | VMCv20171101 | The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmachoSMCSource, vmcSourceXmachoSMCSource | VMCDR4 | The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmcps_lmcSource | VMCv20160822 | The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmcps_lmcSource | VMCv20170109 | The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmcps_lmcSource | VMCv20170411 | The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmcps_lmcSource | VMCv20171101 | The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmcps_lmcSource, vmcSourceXmcps_lmcSource | VMCDR4 | The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmcps_smcSource | VMCv20160822 | The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmcps_smcSource | VMCv20170109 | The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmcps_smcSource | VMCv20170411 | The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmcps_smcSource | VMCv20171101 | The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXmcps_smcSource, vmcSourceXmcps_smcSource | VMCDR4 | The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle3LpvLmcSource | VMCv20170109 | The unique ID of the neighbour in OGLE..ogle3LpvLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle3LpvLmcSource | VMCv20170411 | The unique ID of the neighbour in OGLE..ogle3LpvLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle3LpvLmcSource | VMCv20171101 | The unique ID of the neighbour in OGLE..ogle3LpvLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle3LpvLmcSource, vmcSourceXogle3LpvLmcSource | VMCv20160822 | The unique ID of the neighbour in OGLE..ogle3LpvLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle3LpvSmcSource | VMCv20170109 | The unique ID of the neighbour in OGLE..ogle3LpvSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle3LpvSmcSource | VMCv20170411 | The unique ID of the neighbour in OGLE..ogle3LpvSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle3LpvSmcSource | VMCv20171101 | The unique ID of the neighbour in OGLE..ogle3LpvSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle3LpvSmcSource, vmcSourceXogle3LpvSmcSource | VMCv20160822 | The unique ID of the neighbour in OGLE..ogle3LpvSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4CepLmcSource | VMCv20170109 | The unique ID of the neighbour in OGLE..ogle4CepLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4CepLmcSource | VMCv20170411 | The unique ID of the neighbour in OGLE..ogle4CepLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4CepLmcSource | VMCv20171101 | The unique ID of the neighbour in OGLE..ogle4CepLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4CepLmcSource, vmcSourceXogle4CepLmcSource | VMCv20160822 | The unique ID of the neighbour in OGLE..ogle4CepLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4CepSmcSource | VMCv20170109 | The unique ID of the neighbour in OGLE..ogle4CepSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4CepSmcSource | VMCv20170411 | The unique ID of the neighbour in OGLE..ogle4CepSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4CepSmcSource | VMCv20171101 | The unique ID of the neighbour in OGLE..ogle4CepSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4CepSmcSource, vmcSourceXogle4CepSmcSource | VMCv20160822 | The unique ID of the neighbour in OGLE..ogle4CepSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4RRLyrLmcSource | VMCv20170109 | The unique ID of the neighbour in OGLE..ogle4RRLyrLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4RRLyrLmcSource | VMCv20170411 | The unique ID of the neighbour in OGLE..ogle4RRLyrLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4RRLyrLmcSource | VMCv20171101 | The unique ID of the neighbour in OGLE..ogle4RRLyrLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4RRLyrLmcSource, vmcSourceXogle4RRLyrLmcSource | VMCv20160822 | The unique ID of the neighbour in OGLE..ogle4RRLyrLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4RRLyrSmcSource | VMCv20170109 | The unique ID of the neighbour in OGLE..ogle4RRLyrSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4RRLyrSmcSource | VMCv20170411 | The unique ID of the neighbour in OGLE..ogle4RRLyrSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4RRLyrSmcSource | VMCv20171101 | The unique ID of the neighbour in OGLE..ogle4RRLyrSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXogle4RRLyrSmcSource, vmcSourceXogle4RRLyrSmcSource | VMCv20160822 | The unique ID of the neighbour in OGLE..ogle4RRLyrSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcIracSource | VMCv20160822 | The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcIracSource | VMCv20170109 | The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcIracSource | VMCv20170411 | The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcIracSource | VMCv20171101 | The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcIracSource, vmcSourceXsage_lmcIracSource | VMCDR4 | The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips160Source | VMCv20160822 | The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips160Source | VMCv20170109 | The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips160Source | VMCv20170411 | The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips160Source | VMCv20171101 | The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips160Source, vmcSourceXsage_lmcMips160Source | VMCDR4 | The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips24Source | VMCv20160822 | The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips24Source | VMCv20170109 | The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips24Source | VMCv20170411 | The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips24Source | VMCv20171101 | The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips24Source, vmcSourceXsage_lmcMips24Source | VMCDR4 | The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips70Source | VMCv20160822 | The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips70Source | VMCv20170109 | The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips70Source | VMCv20170411 | The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips70Source | VMCv20171101 | The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXsage_lmcMips70Source, vmcSourceXsage_lmcMips70Source | VMCDR4 | The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXspitzer_smcSource | VMCv20160822 | The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXspitzer_smcSource | VMCv20170109 | The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXspitzer_smcSource | VMCv20170411 | The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXspitzer_smcSource | VMCv20171101 | The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXspitzer_smcSource, vmcSourceXspitzer_smcSource | VMCDR4 | The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_psc | VMCv20160822 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_psc | VMCv20170109 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_psc | VMCv20170411 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_psc | VMCv20171101 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_psc, vmcSourceXtwomass_psc | VMCDR4 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_sixx2_psc | VMCv20160822 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_sixx2_psc | VMCv20170109 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_sixx2_psc | VMCv20170411 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_sixx2_psc | VMCv20171101 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_sixx2_psc, vmcSourceXtwomass_sixx2_psc | VMCDR4 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_sixx2_xsc | VMCv20160822 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_sixx2_xsc | VMCv20170109 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_sixx2_xsc | VMCv20170411 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_sixx2_xsc | VMCv20171101 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_sixx2_xsc, vmcSourceXtwomass_sixx2_xsc | VMCDR4 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_xsc | VMCv20160822 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_xsc | VMCv20170109 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_xsc | VMCv20170411 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_xsc | VMCv20171101 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwomass_xsc, vmcSourceXtwomass_xsc | VMCDR4 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwompzPhotoz | VMCv20170109 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwompzPhotoz | VMCv20170411 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwompzPhotoz | VMCv20171101 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXtwompzPhotoz, vmcSourceXtwompzPhotoz | VMCv20160822 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXwiseScosPhotoz | VMCv20170109 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXwiseScosPhotoz | VMCv20170411 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXwiseScosPhotoz | VMCv20171101 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXwiseScosPhotoz, vmcSourceXwiseScosPhotoz | VMCv20160822 | The unique ID of the neighbour in WISExSCOS..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXwise_allskysc | VMCv20160822 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXwise_allskysc | VMCv20170109 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXwise_allskysc | VMCv20170411 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXwise_allskysc | VMCv20171101 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfCatalogueXwise_allskysc, vmcSourceXwise_allskysc | VMCDR4 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXGDR1gaia_source | VMCv20181120 | The unique ID of the neighbour in GAIADR1..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXGDR1gaia_source, vmcPsfSourceXGDR1gaia_source | VMCv20180702 | The unique ID of the neighbour in GAIADR1..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXGDR1tgas_source | VMCv20181120 | The unique ID of the neighbour in GAIADR1..tgas_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXGDR1tgas_source, vmcPsfSourceXGDR1tgas_source | VMCv20180702 | The unique ID of the neighbour in GAIADR1..tgas_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXGDR2gaia_source | VMCv20181120 | The unique ID of the neighbour in GAIADR2..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXGDR2gaia_source, vmcPsfSourceXGDR2gaia_source, vmcSourceXGDR2gaia_source | VMCv20180702 | The unique ID of the neighbour in GAIADR2..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXSSASource | VMCv20181120 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXSSASource, vmcPsfSourceXSSASource | VMCv20180702 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXakari_lmc_psa_v1 | VMCv20181120 | The unique ID of the neighbour in AKARI..akari_lmc_psa_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXakari_lmc_psa_v1, vmcPsfSourceXakari_lmc_psa_v1 | VMCv20180702 | The unique ID of the neighbour in AKARI..akari_lmc_psa_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXakari_lmc_psc_v1 | VMCv20181120 | The unique ID of the neighbour in AKARI..akari_lmc_psc_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXakari_lmc_psc_v1, vmcPsfSourceXakari_lmc_psc_v1 | VMCv20180702 | The unique ID of the neighbour in AKARI..akari_lmc_psc_v1 (=SEQNUM) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXallwise_sc | VMCv20181120 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXallwise_sc, vmcPsfSourceXallwise_sc | VMCv20180702 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXdenisDR3Source | VMCv20181120 | The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXdenisDR3Source, vmcPsfSourceXdenisDR3Source | VMCv20180702 | The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXeros2LMCSource | VMCv20181120 | The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXeros2LMCSource, vmcPsfSourceXeros2LMCSource | VMCv20180702 | The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXeros2SMCSource | VMCv20181120 | The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXeros2SMCSource, vmcPsfSourceXeros2SMCSource | VMCv20180702 | The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXerosLMCSource | VMCv20181120 | The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXerosLMCSource, vmcPsfSourceXerosLMCSource | VMCv20180702 | The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXerosSMCSource | VMCv20181120 | The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXerosSMCSource, vmcPsfSourceXerosSMCSource | VMCv20180702 | The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXmachoLMCSource | VMCv20181120 | The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXmachoLMCSource, vmcPsfSourceXmachoLMCSource | VMCv20180702 | The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXmachoSMCSource | VMCv20181120 | The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXmachoSMCSource, vmcPsfSourceXmachoSMCSource | VMCv20180702 | The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXmcps_lmcSource | VMCv20181120 | The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXmcps_lmcSource, vmcPsfSourceXmcps_lmcSource | VMCv20180702 | The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXmcps_smcSource | VMCv20181120 | The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXmcps_smcSource, vmcPsfSourceXmcps_smcSource | VMCv20180702 | The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXogle3LpvLmcSource | VMCv20181120 | The unique ID of the neighbour in OGLE..ogle3LpvLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXogle3LpvLmcSource, vmcPsfSourceXogle3LpvLmcSource | VMCv20180702 | The unique ID of the neighbour in OGLE..ogle3LpvLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXogle3LpvSmcSource | VMCv20181120 | The unique ID of the neighbour in OGLE..ogle3LpvSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXogle3LpvSmcSource, vmcPsfSourceXogle3LpvSmcSource | VMCv20180702 | The unique ID of the neighbour in OGLE..ogle3LpvSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXogle4CepLmcSource | VMCv20181120 | The unique ID of the neighbour in OGLE..ogle4CepLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXogle4CepLmcSource, vmcPsfSourceXogle4CepLmcSource | VMCv20180702 | The unique ID of the neighbour in OGLE..ogle4CepLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXogle4CepSmcSource | VMCv20181120 | The unique ID of the neighbour in OGLE..ogle4CepSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXogle4CepSmcSource, vmcPsfSourceXogle4CepSmcSource | VMCv20180702 | The unique ID of the neighbour in OGLE..ogle4CepSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXogle4RRLyrLmcSource | VMCv20181120 | The unique ID of the neighbour in OGLE..ogle4RRLyrLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXogle4RRLyrLmcSource, vmcPsfSourceXogle4RRLyrLmcSource | VMCv20180702 | The unique ID of the neighbour in OGLE..ogle4RRLyrLmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXogle4RRLyrSmcSource | VMCv20181120 | The unique ID of the neighbour in OGLE..ogle4RRLyrSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXogle4RRLyrSmcSource, vmcPsfSourceXogle4RRLyrSmcSource | VMCv20180702 | The unique ID of the neighbour in OGLE..ogle4RRLyrSmcSource (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXravedr5Source | VMCv20181120 | The unique ID of the neighbour in RAVE..ravedr5Source (=SourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXravedr5Source, vmcPsfSourceXravedr5Source, vmcSourceXravedr5Source | VMCv20180702 | The unique ID of the neighbour in RAVE..ravedr5Source (=RAVE_OBS_ID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXsage_lmcIracSource | VMCv20181120 | The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXsage_lmcIracSource, vmcPsfSourceXsage_lmcIracSource | VMCv20180702 | The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXsage_lmcMips160Source | VMCv20181120 | The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXsage_lmcMips160Source, vmcPsfSourceXsage_lmcMips160Source | VMCv20180702 | The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXsage_lmcMips24Source | VMCv20181120 | The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXsage_lmcMips24Source, vmcPsfSourceXsage_lmcMips24Source | VMCv20180702 | The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXsage_lmcMips70Source | VMCv20181120 | The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXsage_lmcMips70Source, vmcPsfSourceXsage_lmcMips70Source | VMCv20180702 | The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXspitzer_smcSource | VMCv20181120 | The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXspitzer_smcSource, vmcPsfSourceXspitzer_smcSource | VMCv20180702 | The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXtwomass_psc | VMCv20181120 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXtwomass_psc, vmcPsfSourceXtwomass_psc | VMCv20180702 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXtwomass_sixx2_psc | VMCv20181120 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXtwomass_sixx2_psc, vmcPsfSourceXtwomass_sixx2_psc | VMCv20180702 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXtwomass_sixx2_xsc | VMCv20181120 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXtwomass_sixx2_xsc, vmcPsfSourceXtwomass_sixx2_xsc | VMCv20180702 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXtwomass_xsc | VMCv20181120 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXtwomass_xsc, vmcPsfSourceXtwomass_xsc | VMCv20180702 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXtwompzPhotoz | VMCv20181120 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXtwompzPhotoz, vmcPsfSourceXtwompzPhotoz | VMCv20180702 | The unique ID of the neighbour in TWOMPZ..twompzPhotoz (=twomassID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXwiseScosPhotoz | VMCv20181120 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXwiseScosPhotoz, vmcPsfSourceXwiseScosPhotoz | VMCv20180702 | The unique ID of the neighbour in WISExSCOSPZ..wiseScosPhotoz (=wiseID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXwise_allskysc | VMCv20181120 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfDetectionsXwise_allskysc, vmcPsfSourceXwise_allskysc | VMCv20180702 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfSourceXGEDR3gaia_source, vmcSourceXGEDR3gaia_source | VMCv20240226 | The unique ID of the neighbour in GAIAEDR3..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfSourceXSKYMAP_masterDR2 | VMCv20240226 | The unique ID of the neighbour in SKYMAPPER..masterDR2 (=object_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfSourceXSKYMAP_masterDR2, vmcSourceXSKYMAP_masterDR2 | VMCv20210708 | The unique ID of the neighbour in SKYMAPPER..masterDR2 (=object_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfSourceXSMASHDR2_deep, vmcSourceXSMASHDR2_deep | VMCv20240226 | The unique ID of the neighbour in SMASH..smashdr2_deep (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfSourceXSMASHDR2_object, vmcSourceXSMASHDR2_object | VMCv20240226 | The unique ID of the neighbour in SMASH..smashdr2_object (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfSourceXSMASHDR2_source, vmcSourceXSMASHDR2_source | VMCv20240226 | The unique ID of the neighbour in SMASH..smashdr2_source (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfSourceXcatwise_2020 | VMCv20240226 | The unique ID of the neighbour in WISE..catwise_2020 (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcPsfSourceXcatwise_2020, vmcSourceXcatwise_2020 | VMCv20210708 | The unique ID of the neighbour in WISE..catwise_2020 (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCDR1 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCDR2 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCDR3 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCDR4 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCDR5 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20110816 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20110909 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20120126 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20121128 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20130304 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20130805 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20140428 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20140903 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20150309 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20151218 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20160311 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20160822 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20170109 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20170411 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20171101 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20180702 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20181120 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20191212 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20210708 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20230816 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceNeighbours | VMCv20240226 | The unique ID of the neighbour in vmcSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCDR2 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCDR3 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCDR4 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCv20121128 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCv20130304 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCv20130805 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCv20140428 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCv20140903 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCv20150309 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCv20151218 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCv20160311 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCv20160822 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCv20170109 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCv20170411 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfCatalogue | VMCv20171101 | The unique ID of the neighbour in vmcPsfCatalogue table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfDetections | VMCv20180702 | The unique ID of the neighbour in vmcPsfDetections table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfDetections | VMCv20181120 | The unique ID of the neighbour in vmcPsfDetections table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfSource | VMCDR5 | The unique ID of the neighbour in vmcPsfSource table (=psfSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfSource | VMCv20180702 | The unique ID of the neighbour in vmcPsfSource table (=psfSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfSource | VMCv20181120 | The unique ID of the neighbour in vmcPsfSource table (=psfSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfSource | VMCv20191212 | The unique ID of the neighbour in vmcPsfSource table (=psfSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfSource | VMCv20210708 | The unique ID of the neighbour in vmcPsfSource table (=psfSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXPsfSource | VMCv20240226 | The unique ID of the neighbour in vmcPsfSource table (=psfSourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCDR1 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCDR2 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCDR3 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCDR4 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCDR5 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20110816 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20110909 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20120126 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20121128 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20130304 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20130805 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20140428 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20140903 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20150309 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20151218 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20160311 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20160822 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20170109 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20170411 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20171101 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20180702 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20181120 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20191212 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20210708 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20230816 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXSynopticSource | VMCv20240226 | The unique ID of the neighbour in vmcSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCDR2 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCDR3 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCDR4 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20121128 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20130304 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20130805 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20140428 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20140903 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20150309 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20151218 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20160311 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20160822 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20170109 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20170411 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20171101 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20180702 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20181120 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20191212 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20210708 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20230816 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXVariablesType | VMCv20240226 | The unique ID of the neighbour in vmcVariablesType table (=varID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcSourceXwise_prelimsc | VMCDR1 | The unique ID of the neighbour in WISE..wise_prelimsc (=cntr) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcSourceXwise_prelimsc | VMCv20110816 | The unique ID of the neighbour in WISE..wise_prelimsc (=cntr) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcSourceXwise_prelimsc | VMCv20110909 | The unique ID of the neighbour in WISE..wise_prelimsc (=cntr) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcSourceXwise_prelimsc | VMCv20120126 | The unique ID of the neighbour in WISE..wise_prelimsc (=cntr) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vmcSourceXxmm3dr4 | VMCv20140428 | The unique ID of the neighbour in THREEXMM..xmm3dr4 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcdeepSourceNeighbours | VMCDEEPv20230713 | The unique ID of the neighbour in vmcdeepSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcdeepSourceXSSASource | VMCDEEPv20230713 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcdeepSourceXSynopticSource | VMCDEEPv20230713 | The unique ID of the neighbour in vmcdeepSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcdeepSourceXallwise_sc | VMCDEEPv20230713 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcdeepSourceXtwomass_psc | VMCDEEPv20230713 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vmcdeepSourceXwise_allskysc | VMCDEEPv20230713 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXDR11gpsSource, vvvPsfDophotZYJHKsSourceXDR11gpsSource, vvvSourceXDR11gpsSource | VVVDR5 | The unique ID of the neighbour in UKIDSSDR11PLUS..gpsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXDR8gpsSource, vvvPsfDophotZYJHKsSourceXDR8gpsSource, vvvSourceXDR8gpsSource | VVVDR5 | The unique ID of the neighbour in UKIDSSDR8PLUS..gpsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXGDR1gaia_source, vvvPsfDophotZYJHKsSourceXGDR1gaia_source, vvvSourceXGDR1gaia_source | VVVDR5 | The unique ID of the neighbour in GAIADR1..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXGDR1tgas_source, vvvPsfDophotZYJHKsSourceXGDR1tgas_source, vvvSourceXGDR1tgas_source | VVVDR5 | The unique ID of the neighbour in GAIADR1..tgas_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXGDR2gaia_source, vvvPsfDophotZYJHKsSourceXGDR2gaia_source, vvvSourceXGDR2gaia_source | VVVDR5 | The unique ID of the neighbour in GAIADR2..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXGEDR3gaia_source, vvvPsfDophotZYJHKsSourceXGEDR3gaia_source, vvvSourceXGEDR3gaia_source | VVVDR5 | The unique ID of the neighbour in GAIAEDR3..gaia_source (=source_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXPS1DR2_objectThin, vvvPsfDophotZYJHKsSourceXPS1DR2_objectThin, vvvSourceXPS1DR2_objectThin | VVVDR5 | The unique ID of the neighbour in PS1DR2..objectThin (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXSSASource, vvvPsfDophotZYJHKsSourceXSSASource, vvvSourceXSSASource | VVVDR5 | The unique ID of the neighbour in SSA..Source (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXallwise_sc, vvvPsfDophotZYJHKsSourceXallwise_sc, vvvSourceXallwise_sc | VVVDR5 | The unique ID of the neighbour in WISE..allwise_sc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXdecapsSource, vvvPsfDophotZYJHKsSourceXdecapsSource, vvvSourceXdecapsSource | VVVDR5 | The unique ID of the neighbour in DECAPS..decapsSource (=obj_id) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXglimpse1_hrc, vvvPsfDophotZYJHKsSourceXglimpse1_hrc, vvvSourceXglimpse1_hrc | VVVDR5 | The unique ID of the neighbour in GLIMPSE..glimpse1_hrc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXglimpse1_mca, vvvPsfDophotZYJHKsSourceXglimpse1_mca, vvvSourceXglimpse1_mca | VVVDR5 | The unique ID of the neighbour in GLIMPSE..glimpse1_mca (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXglimpse2_hrc, vvvPsfDophotZYJHKsSourceXglimpse2_hrc, vvvSourceXglimpse2_hrc | VVVDR5 | The unique ID of the neighbour in GLIMPSE..glimpse2_hrc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXglimpse2_mca, vvvPsfDophotZYJHKsSourceXglimpse2_mca, vvvSourceXglimpse2_mca | VVVDR5 | The unique ID of the neighbour in GLIMPSE..glimpse2_mca (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXiras_psc, vvvPsfDophotZYJHKsSourceXiras_psc, vvvSourceXiras_psc | VVVDR5 | The unique ID of the neighbour in IRAS..iras_psc (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXtwomass_psc, vvvPsfDophotZYJHKsSourceXtwomass_psc, vvvSourceXtwomass_psc | VVVDR5 | The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXtwomass_xsc, vvvPsfDophotZYJHKsSourceXtwomass_xsc, vvvSourceXtwomass_xsc | VVVDR5 | The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXvphasDr3Source, vvvPsfDophotZYJHKsSourceXvphasDr3Source, vvvSourceXvphasDr3Source | VVVDR5 | The unique ID of the neighbour in VPHASDR3..vphasSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXwise_allskysc, vvvPsfDophotZYJHKsSourceXwise_allskysc, vvvSourceXwise_allskysc | VVVDR5 | The unique ID of the neighbour in WISE..wise_allskysc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvPsfDaophotJKsSourceXxmm3dr4, vvvPsfDophotZYJHKsSourceXxmm3dr4, vvvSourceXxmm3dr4 | VVVDR5 | The unique ID of the neighbour in THREEXMM..xmm3dr4 (=DETID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceNeighbours | VVVDR1 | The unique ID of the neighbour in vvvSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceNeighbours | VVVDR2 | The unique ID of the neighbour in vvvSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceNeighbours | VVVDR5 | The unique ID of the neighbour in vvvSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceNeighbours | VVVv20100531 | The unique ID of the neighbour in vvvSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vvvSourceNeighbours | VVVv20110718 | The unique ID of the neighbour in vvvSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vvvSourceXDR4gpsSource | VVVDR1 | The unique ID of the neighbour in UKIDSSDR4PLUS..gpsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXDR4gpsSource | VVVDR2 | The unique ID of the neighbour in UKIDSSDR4PLUS..gpsSource (=sourceID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXDR4gpsSource | VVVv20110718 | The unique ID of the neighbour in UKIDSSDR4PLUS..gpsSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vvvSourceXDetection | VVVDR1 | The unique ID of the neighbour in vvvDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXDetection | VVVDR2 | The unique ID of the neighbour in vvvDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXDetection | VVVDR5 | The unique ID of the neighbour in vvvDetection table (=objID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXDetection | VVVv20100531 | The unique ID of the neighbour in vvvDetection table (=objID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vvvSourceXParallaxCatalogue | VVVDR5 | The unique ID of the neighbour in vvvParallaxCatalogue table (=viracID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXProperMotionCatalogue | VVVDR5 | The unique ID of the neighbour in vvvProperMotionCatalogue table (=viracID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXPsfDaophotJKsSource | VVVDR5 | The unique ID of the neighbour in vvvPsfDaophotJKsSource table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXPsfDophotZYJHKsSource | VVVDR5 | The unique ID of the neighbour in vvvPsfDophotZYJHKsSource table (=psfID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXSynopticSource | VVVDR1 | The unique ID of the neighbour in vvvSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXSynopticSource | VVVDR2 | The unique ID of the neighbour in vvvSynopticSource table (=synopticID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXVivaCatalogue | VVVDR5 | The unique ID of the neighbour in vvvVivaCatalogue table (=vivaID) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXglimpse_hrc_inter | VVVDR1 | The unique ID of the neighbour in GLIMPSE..glimpse_hrc_inter (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXglimpse_hrc_inter | VVVDR2 | The unique ID of the neighbour in GLIMPSE..glimpse_hrc_inter (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXglimpse_hrc_inter | VVVv20100531 | The unique ID of the neighbour in GLIMPSE..glimpse_hrc_inter (=seqNo) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vvvSourceXglimpse_hrc_inter | VVVv20110718 | The unique ID of the neighbour in GLIMPSE..glimpse_hrc_inter (=seqNo) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vvvSourceXglimpse_mca_inter | VVVDR1 | The unique ID of the neighbour in GLIMPSE..glimpse_mca_inter (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXglimpse_mca_inter | VVVDR2 | The unique ID of the neighbour in GLIMPSE..glimpse_mca_inter (=seqNo) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXglimpse_mca_inter | VVVv20100531 | The unique ID of the neighbour in GLIMPSE..glimpse_mca_inter (=seqNo) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vvvSourceXglimpse_mca_inter | VVVv20110718 | The unique ID of the neighbour in GLIMPSE..glimpse_mca_inter (=seqNo) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vvvSourceXgpsSource | VVVv20100531 | The unique ID of the neighbour in UKIDSSDR4PLUS..gpsSource (=sourceID) | bigint | 8 | meta.id;meta.dataset | ||
| slaveObjID | vvvSourceXtwomass_sixx2_xsc | VVVDR1 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXtwomass_sixx2_xsc | VVVDR2 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.dataset | ||
| slaveObjID | vvvSourceXtwomass_sixx2_xsc | VVVv20110718 | The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) | bigint | 8 | meta.id;meta.dataset | ||
| sLevNum | Multiframe | SHARKSv20210222 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | SHARKSv20210421 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | ULTRAVISTADR4 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSDR1 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSDR2 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSDR3 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSDR4 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSDR5 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSDR6 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSv20120926 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSv20130417 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSv20140409 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSv20150108 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSv20160114 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSv20160507 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSv20170630 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSv20180419 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSv20201209 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VHSv20231101 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIDEODR2 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIDEODR3 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIDEODR4 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIDEODR5 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIDEOv20100513 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIDEOv20111208 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIKINGDR2 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIKINGDR3 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIKINGDR4 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIKINGv20110714 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIKINGv20111019 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIKINGv20130417 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIKINGv20140402 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIKINGv20150421 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIKINGv20151230 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIKINGv20160406 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIKINGv20161202 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VIKINGv20170715 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCDEEPv20230713 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCDR1 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCDR2 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCDR3 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCDR4 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCDR5 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20110816 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20110909 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20120126 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20121128 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20130304 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20130805 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20140428 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20140903 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20150309 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20151218 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20160311 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20160822 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20170109 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20170411 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20171101 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20180702 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20181120 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20191212 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20210708 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20230816 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VMCv20240226 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VVVDR1 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VVVDR2 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VVVDR5 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VVVXDR1 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VVVv20100531 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | Multiframe | VVVv20110718 | Level 0 sky {image primary HDU keyword: SLEV} | tinyint | 1 | 0 | ||
| sLevNum | sharksMultiframe, ultravistaMultiframe, vhsMultiframe, videoMultiframe, vikingMultiframe, vmcMultiframe, vvvMultiframe | VSAQC | Level 0 sky | tinyint | 1 | 0 | ||
| SMAG | grs_ngpSource, grs_ranSource, grs_sgpSource | TWODFGRS | Unmatched raw stellar mag (from APMCAL) | real | 4 | |||
| smoothing | MultiframeDetector | SHARKSv20210222 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | SHARKSv20210421 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | ULTRAVISTADR4 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSDR1 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSDR2 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSDR3 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSDR4 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSDR5 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSDR6 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSv20120926 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSv20130417 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSv20140409 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSv20150108 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSv20160114 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSv20160507 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSv20170630 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSv20180419 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSv20201209 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VHSv20231101 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIDEODR2 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIDEODR3 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIDEODR4 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIDEODR5 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIDEOv20100513 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIDEOv20111208 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIKINGDR2 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIKINGDR3 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIKINGDR4 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIKINGv20110714 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIKINGv20111019 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIKINGv20130417 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIKINGv20140402 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIKINGv20150421 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIKINGv20151230 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIKINGv20160406 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIKINGv20161202 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VIKINGv20170715 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCDEEPv20230713 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCDR1 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCDR2 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCDR3 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCDR4 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCDR5 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20110816 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20110909 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20120126 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20121128 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20130304 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20130805 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20140428 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20140903 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20150309 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20151218 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20160311 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20160822 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20170109 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20170411 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20171101 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20180702 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20181120 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20191212 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20210708 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20230816 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VMCv20240226 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VVVDR1 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VVVDR2 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VVVDR5 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VVVXDR1 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VVVv20100531 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | MultiframeDetector | VVVv20110718 | FWHM of the smoothing kernel {catalogue extension keyword: FILTFWHM} | real | 4 | pixels | -0.9999995e9 | |
| smoothing | sharksMultiframeDetector, ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector | VSAQC | FWHM of the smoothing kernel | real | 4 | pixels | -0.9999995e9 | |
| smss_j | masterDR2 | SKYMAPPER | SkyMapper Southern Survey designation of the form SMSS Jhhmmss.ss+/-ddmmss.s, derived from mean ICRS coordinates | varchar | 18 | meta.id;meta.main | ||
| sn | hipparcos_new_reduction | GAIADR1 | Solution type in the New Reduction | int | 4 | meta.id;stat.fit | ||
| SN1 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Signal/Noise for band 1 flux | real | 4 | -9.99 | ||
| SN160 | sage_lmcMips160Source | SPITZER | Signal/Noise for band 160 | real | 4 | |||
| SN2 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Signal/Noise for band 2 flux | real | 4 | -9.99 | ||
| SN24 | sage_lmcMips24Source | SPITZER | Signal/Noise for band 24 | real | 4 | |||
| SN3 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Signal/Noise for band 3 flux | real | 4 | -9.99 | ||
| SN3_6 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | 3.6um IRAC (Band 1) Signal/Noise | real | 4 | -9.99 | ||
| SN3_6 | sage_lmcIracSource | SPITZER | Signal/Noise for band 3.6 | real | 4 | |||
| SN3_6 | sage_smcIRACv1_5Source | SPITZER | 3.6um IRAC (Band 1) Signal/Noise | real | 4 | |||
| SN4 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Signal/Noise for band 4 flux | real | 4 | -9.99 | ||
| SN4_5 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | 4.5um IRAC (Band 2) Signal/Noise | real | 4 | -9.99 | ||
| SN4_5 | sage_lmcIracSource | SPITZER | Signal/Noise for band 4.5 | real | 4 | |||
| SN4_5 | sage_smcIRACv1_5Source | SPITZER | 4.5um IRAC (Band 2) Signal/Noise | real | 4 | |||
| SN5_8 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | 5.8um IRAC (Band 3) Signal/Noise | real | 4 | -9.99 | ||
| SN5_8 | sage_lmcIracSource | SPITZER | Signal/Noise for band 5.8 | real | 4 | |||
| SN5_8 | sage_smcIRACv1_5Source | SPITZER | 5.8um IRAC (Band 3) Signal/Noise | real | 4 | |||
| SN70 | sage_lmcMips70Source | SPITZER | Signal/Noise for band 70 | real | 4 | |||
| SN8_0 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | 8.0um IRAC (Band 4) Signal/Noise | real | 4 | -9.99 | ||
| SN8_0 | sage_lmcIracSource | SPITZER | Signal/Noise for band 8.0 | real | 4 | |||
| SN8_0 | sage_smcIRACv1_5Source | SPITZER | 8.0um IRAC (Band 4) Signal/Noise | real | 4 | |||
| SNH | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | 2MASS All-Sky PSC H Band Signal/Noise | real | 4 | -9.99 | ||
| SNH | sage_lmcIracSource | SPITZER | Signal/Noise for band H | real | 4 | |||
| SNH | sage_smcIRACv1_5Source | SPITZER | 2MASS All-Sky PSC H Band Signal/Noise | real | 4 | |||
| SNJ | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | 2MASS All-Sky PSC J Band Signal/Noise | real | 4 | -9.99 | ||
| SNJ | sage_lmcIracSource | SPITZER | Signal/Noise for band J | real | 4 | |||
| SNJ | sage_smcIRACv1_5Source | SPITZER | 2MASS All-Sky PSC J Band Signal/Noise | real | 4 | |||
| SNK | sage_lmcIracSource | SPITZER | Signal/Noise for band K | real | 4 | |||
| SNK | sage_smcIRACv1_5Source | SPITZER | 2MASS All-Sky PSC Ks Band Signal/Noise | real | 4 | |||
| SNKs | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | 2MASS All-Sky PSC Ks Band Signal/Noise | real | 4 | -9.99 | ||
| SNR_K | ravedr5Source | RAVE | (R+) Signal/Noise Ratio of Kordopatis Pipeline | float | 8 | stat.snr | ||
| SNRfit | vvvVivaCatalogue | VVVDR5 | The signal-to-noise value related with the best period estimation {catalogue TType keyword: SNRphase} | float | 8 | ?? | -9.999995e8 | |
| so | hipparcos_new_reduction | GAIADR1 | Solution type in the old reduction | int | 4 | meta.id;stat.fit | ||
| softenParam | MapFilterLupt | SHARKSv20210222 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| softenParam | MapFilterLupt | SHARKSv20210421 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| softenParam | MapFilterLupt | ULTRAVISTADR4 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| softenParam | MapFilterLupt | VHSv20201209 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| softenParam | MapFilterLupt | VHSv20231101 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| softenParam | MapFilterLupt | VMCDEEPv20230713 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| softenParam | MapFilterLupt | VMCDR5 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| softenParam | MapFilterLupt | VMCv20191212 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| softenParam | MapFilterLupt | VMCv20210708 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| softenParam | MapFilterLupt | VMCv20230816 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| softenParam | MapFilterLupt | VMCv20240226 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| softenParam | MapFilterLupt | VVVDR5 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| softenParam | MapFilterLupt | VVVXDR1 | the softening parameter used in the calculation of Luptitudes | real | 4 | -9.999995e8 | ||
| solution_id | aux_qso_icrf2_match, cepheid, ext_phot_zero_point, gaia_hip_tycho2_match, gaia_source, igsl_source, igsl_source_catalog_ids, phot_variable_time_series_g_fov, phot_variable_time_series_g_fov_statistical_parameters, rrlyrae, tgas_source, variable_summary | GAIADR1 | Solution identifier | bigint | 8 | meta.id;meta.version | ||
| solution_id | gaia_source | GAIADR2 | Solution identifier | bigint | 8 | meta.id;meta.version | ||
| solution_id | gaia_source | GAIAEDR3 | Solution identifier | bigint | 8 | meta.id;meta.version | ||
| source_classification | igsl_source | GAIADR1 | Source of the classification | tinyint | 1 | meta.code | ||
| source_id | allwise_sc | WISE | Unique source ID, formed from a combination of the Atlas Tile ID, coadd_id, and sequential extracted source number, src, within the Tile. | varchar | 28 | |||
The source_id string has the form RRRRsDDD_[trev]-IIIIII where:
For example, the first source extracted in AllWISE Tile 3041m137_ac51 has a source_id of 3041m137_ac51-000001. NOTE: AllWISE Catalog and Reject Table entries are cross-referenced with the Multiepoch Photometry (MEP) Database via the source_id identifier. The Catalog/Reject Table cntr value is referred to as source_id in the MEP Database. | ||||||||
| source_id | aux_qso_icrf2_match, cepheid, gaia_hip_tycho2_match, gaia_source, igsl_source, phot_variable_time_series_g_fov, phot_variable_time_series_g_fov_statistical_parameters, rrlyrae, tgas_source, variable_summary | GAIADR1 | Unique source identifier | bigint | 8 | meta.id;meta.main | ||
| source_id | catwise_2020, catwise_prelim | WISE | tile name + processing code + wphot index | varchar | 25 | |||
| source_id | gaia_source | GAIADR2 | Unique source identifier (unique within a particular Data Release) | bigint | 8 | meta.id | ||
| source_id | gaia_source | GAIAEDR3 | Unique source identifier (unique within a particular Data Release) | bigint | 8 | meta.id | ||
| source_id | igsl_source_catalog_ids | GAIADR1 | Unique source identifier from IGSL2 | bigint | 8 | meta.id;meta.main | ||
| source_id | wise_allskysc | WISE | Unique source ID, formed from a combination of the Atlas Tile ID, coadd_id, and sequential extracted source number, src, within the Tile. | char | 28 | |||
| source_id | wise_prelimsc | WISE | Unique source ID, formed from a combination of the Atlas Tile ID, coadd_id, and sequential extracted source number, src, within the Tile | char | 28 | |||
| source_mag_bj | igsl_source | GAIADR1 | Source of the B magnitude | tinyint | 1 | meta.code | ||
| source_mag_g | igsl_source | GAIADR1 | Source of the G magnitude | tinyint | 1 | meta.code | ||
| source_mag_grvs | igsl_source | GAIADR1 | Source of the RVS G magnitude | tinyint | 1 | meta.code | ||
| source_mag_rf | igsl_source | GAIADR1 | Source of the R magnitude | tinyint | 1 | meta.code | ||
| source_mu | igsl_source | GAIADR1 | Source of the proper motions | tinyint | 1 | meta.code | ||
| source_name | catwise_2020, catwise_prelim | WISE | source hexagesimal designation | varchar | 21 | |||
| source_position | igsl_source | GAIADR1 | Source of the position estimate | tinyint | 1 | meta.code | ||
| SOURCE_R | spectra | SIXDF | R source plate | varchar | 10 | |||
| SOURCE_V | spectra | SIXDF | V source plate | varchar | 10 | |||
| sourceCatalog | sage_lmcIracSource, sage_lmcMips160Source, sage_lmcMips24Source, sage_lmcMips70Source | SPITZER | Character string identifier for source catalogue | varchar | 8 | |||
| sourceCatalog | sage_smcIRACv1_5Source | SPITZER | Character string identifier for source catalog | varchar | 8 | |||
| SourceID | ravedr5Source | RAVE | Unique Identifier for RAVE objects, auto-incrementing integer | int | 4 | meta.id | ||
| sourceID | iras_asc | IRAS | Source ID | varchar | 15 | meta.id | ||
| sourceID | sharksSource | SHARKSv20210421 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | sharksSource, sharksSourceXDetectionBestMatch, sharksVariability | SHARKSv20210222 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | ultravistaSource, ultravistaSourceXDetectionBestMatch, ultravistaVariability | ULTRAVISTADR4 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsListRemeasurement, vhsSource | VHSDR1 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSDR2 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSDR3 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSDR4 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSDR5 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSDR6 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSv20120926 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSv20130417 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSv20140409 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSv20150108 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSv20160114 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSv20160507 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSv20170630 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSv20180419 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSv20201209 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSource | VHSv20231101 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vhsSourceRemeasurement | VHSDR1 | UID (unique over entire VSA via programme ID prefix) of this list remeasurement | bigint | 8 | meta.id;meta.main | ||
| sourceID | videoListRemeasurement, videoSource, videoSourceXDetectionBestMatch, videoVariability | VIDEOv20100513 | UID (unique over entire WSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | videoSourceRemeasurement | VIDEOv20100513 | UID (unique over entire WSA via programme ID prefix) of this list remeasurement | bigint | 8 | meta.id;meta.main | ||
| sourceID | vikingListRemeasurement | VIKINGv20111019 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vikingListRemeasurement, vikingSource, vikingSourceXDetectionBestMatch, vikingVariability | VIKINGv20110714 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vikingSourceRemeasurement | VIKINGv20110714 | UID (unique over entire VSA via programme ID prefix) of this list remeasurement | bigint | 8 | meta.id;meta.main | ||
| sourceID | vikingSourceRemeasurement | VIKINGv20111019 | UID (unique over entire VSA via programme ID prefix) of this list remeasurement | bigint | 8 | meta.id;meta.main | ||
| sourceID | vmcListRemeasurement | VMCv20110909 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vmcListRemeasurement, vmcSource, vmcSourceXSynopticSourceBestMatch, vmcVariability | VMCv20110816 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vmcSourceRemeasurement | VMCv20110816 | UID (unique over entire VSA via programme ID prefix) of this list remeasurement | bigint | 8 | meta.id;meta.main | ||
| sourceID | vmcSourceRemeasurement | VMCv20110909 | UID (unique over entire VSA via programme ID prefix) of this list remeasurement | bigint | 8 | meta.id;meta.main | ||
| sourceID | vmcdeepSource, vmcdeepSourceXSynopticSourceBestMatch, vmcdeepVariability | VMCDEEPv20230713 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vvvListRemeasurement | VVVv20110718 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vvvListRemeasurement, vvvSource, vvvSourceXDetectionBestMatch, vvvVariability | VVVv20100531 | UID (unique over entire WSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| sourceID | vvvSourceRemeasurement | VVVv20100531 | UID (unique over entire WSA via programme ID prefix) of this list remeasurement | bigint | 8 | meta.id;meta.main | ||
| sourceID | vvvSourceRemeasurement | VVVv20110718 | UID (unique over entire VSA via programme ID prefix) of this list remeasurement | bigint | 8 | meta.id;meta.main | ||
| sourceid | smashdr2_source | SMASH | Unique ID for this source, the field name plus a running number | varchar | 16 | |||
| sourceIDName | ExternalSurveyTable | SHARKSv20210222 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | SHARKSv20210421 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | ULTRAVISTADR4 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSDR1 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSDR2 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSDR3 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSDR4 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSDR5 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSDR6 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSv20120926 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSv20130417 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSv20150108 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSv20160114 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSv20160507 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSv20170630 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSv20180419 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSv20201209 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VHSv20231101 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIDEODR2 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIDEODR3 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIDEODR4 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIDEODR5 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIDEOv20100513 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIDEOv20111208 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIKINGDR2 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIKINGDR3 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIKINGDR4 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIKINGv20110714 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIKINGv20111019 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIKINGv20130417 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIKINGv20150421 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIKINGv20151230 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIKINGv20160406 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIKINGv20161202 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VIKINGv20170715 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCDEEPv20230713 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCDR1 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCDR3 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCDR4 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCDR5 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20110816 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20110909 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20120126 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20121128 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20130304 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20130805 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20140428 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20140903 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20150309 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20151218 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20160311 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20160822 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20170109 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20170411 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20171101 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20180702 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20181120 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20191212 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20210708 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20230816 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VMCv20240226 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VSAQC | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VVVDR1 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VVVDR2 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VVVDR5 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VVVXDR1 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VVVv20100531 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ExternalSurveyTable | VVVv20110718 | The source unique identifier in the table | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | SHARKSv20210222 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | SHARKSv20210421 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | ULTRAVISTADR4 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSDR1 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSDR2 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSDR3 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSDR4 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSDR5 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSDR6 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSv20120926 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSv20130417 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSv20150108 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSv20160114 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSv20160507 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSv20170630 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSv20180419 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSv20201209 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VHSv20231101 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIDEODR2 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIDEODR3 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIDEODR4 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIDEODR5 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIDEOv20100513 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIDEOv20111208 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIKINGDR2 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIKINGDR3 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIKINGDR4 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIKINGv20110714 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIKINGv20111019 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIKINGv20130417 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIKINGv20150421 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIKINGv20151230 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIKINGv20160406 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIKINGv20161202 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VIKINGv20170715 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCDEEPv20230713 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCDR1 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCDR3 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCDR4 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCDR5 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20110816 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20110909 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20120126 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20121128 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20130304 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20130805 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20140428 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20140903 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20150309 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20151218 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20160311 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20160822 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20170109 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20170411 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20171101 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20180702 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20181120 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20191212 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20210708 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20230816 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VMCv20240226 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VSAQC | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VVVDR1 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VVVDR2 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VVVDR5 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VVVXDR1 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VVVv20100531 | the name of the source | varchar | 256 | meta.id | ||
| sourceIDName | ProgrammeTable | VVVv20110718 | the name of the source | varchar | 256 | meta.id | ||
| sourceMatched | ExternalProduct | SHARKSv20210222 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | SHARKSv20210421 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | ULTRAVISTADR4 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VHSDR3 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VHSDR4 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VHSDR5 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VHSDR6 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VHSv20150108 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VHSv20160114 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VHSv20160507 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VHSv20170630 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VHSv20180419 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VHSv20201209 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VHSv20231101 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VIDEODR4 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VIDEODR5 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VIKINGDR4 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VIKINGv20150421 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VIKINGv20151230 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VIKINGv20160406 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VIKINGv20161202 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VIKINGv20170715 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCDEEPv20230713 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCDR3 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCDR4 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCDR5 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20140428 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20140903 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20150309 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20151218 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20160311 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20160822 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20170109 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20170411 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20171101 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20180702 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20181120 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20191212 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20210708 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20230816 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VMCv20240226 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VVVDR5 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceMatched | ExternalProduct | VVVXDR1 | Does the main ID of the table have an exact 1 - 1 match with the source table | tinyint | 1 | 0 | ||
| sourceProb | first08Jul16Source | FIRST | probability that the source is spurious (most commonly because it is a sidelobe of of a nearby bright source.) Low values mean the source is unlikely to be spurious. | float | 8 | meta.code | ||
| sourceProb | firstSource12Feb16 | FIRST | probability that the source is spurious (most commonly because it is a sidelobe of of a nearby bright source.) Low values mean the source is unlikely to be spurious. | real | 4 | meta.code | ||
| sourceProdType | Programme | SHARKSv20210222 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | SHARKSv20210421 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | ULTRAVISTADR4 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSDR1 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSDR2 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSDR3 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSDR4 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSDR5 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSDR6 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSv20120926 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSv20130417 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSv20150108 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSv20160114 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSv20160507 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSv20170630 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSv20180419 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSv20201209 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VHSv20231101 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIDEODR2 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIDEODR3 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIDEODR4 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIDEODR5 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIDEOv20100513 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIDEOv20111208 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIKINGDR2 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIKINGDR3 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIKINGDR4 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIKINGv20110714 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIKINGv20111019 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIKINGv20130417 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIKINGv20150421 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIKINGv20151230 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIKINGv20160406 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIKINGv20161202 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VIKINGv20170715 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCDEEPv20230713 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCDR1 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCDR3 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCDR4 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCDR5 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20110816 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20110909 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20120126 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20121128 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20130304 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20130805 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20140428 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20140903 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20150309 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20151218 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20160311 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20160822 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20170109 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20170411 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20171101 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20180702 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20181120 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20191212 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20210708 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20230816 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VMCv20240226 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VSAQC | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VVVDR1 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VVVDR2 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VVVDR5 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VVVXDR1 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VVVv20100531 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceProdType | Programme | VVVv20110718 | The product type to be used to create the source table. (stack, tile, mosaic) | varchar | 16 | NONE | ||
| sourceRemeasTable | Programme | SHARKSv20210222 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | SHARKSv20210421 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | ULTRAVISTADR4 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSDR1 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSDR2 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSDR3 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSDR4 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSDR5 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSDR6 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSv20120926 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSv20130417 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSv20150108 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSv20160114 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSv20160507 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSv20170630 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSv20180419 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSv20201209 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VHSv20231101 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIDEODR2 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIDEODR3 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIDEODR4 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIDEODR5 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIDEOv20100513 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIDEOv20111208 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIKINGDR2 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIKINGDR3 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIKINGDR4 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIKINGv20110714 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIKINGv20111019 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIKINGv20130417 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIKINGv20150421 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIKINGv20151230 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIKINGv20160406 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIKINGv20161202 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VIKINGv20170715 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCDEEPv20230713 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCDR1 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCDR3 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCDR4 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCDR5 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20110816 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20110909 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20120126 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20121128 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20130304 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20130805 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20140428 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20140903 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20150309 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20151218 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20160311 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20160822 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20170109 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20170411 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20171101 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20180702 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20181120 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20191212 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20210708 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20230816 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VMCv20240226 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VSAQC | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VVVDR1 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VVVDR2 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VVVDR5 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VVVXDR1 | [OBSOLETE] Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VVVv20100531 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceRemeasTable | Programme | VVVv20110718 | Table name of co-located list re-measurements | varchar | 64 | ?? | ||
| sourceTable | Programme | SHARKSv20210222 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | SHARKSv20210421 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | ULTRAVISTADR4 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSDR1 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSDR2 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSDR3 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSDR4 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSDR5 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSDR6 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSv20120926 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSv20130417 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSv20150108 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSv20160114 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSv20160507 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSv20170630 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSv20180419 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSv20201209 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VHSv20231101 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIDEODR2 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIDEODR3 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIDEODR4 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIDEODR5 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIDEOv20100513 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIDEOv20111208 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIKINGDR2 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIKINGDR3 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIKINGDR4 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIKINGv20110714 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIKINGv20111019 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIKINGv20130417 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIKINGv20150421 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIKINGv20151230 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIKINGv20160406 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIKINGv20161202 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VIKINGv20170715 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCDEEPv20230713 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCDR1 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCDR3 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCDR4 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCDR5 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20110816 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20110909 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20120126 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20121128 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20130304 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20130805 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20140428 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20140903 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20150309 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20151218 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20160311 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20160822 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20170109 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20170411 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20171101 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20180702 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20181120 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20191212 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20210708 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20230816 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VMCv20240226 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VSAQC | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VVVDR1 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VVVDR2 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VVVDR5 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VVVXDR1 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VVVv20100531 | Table name of merged sources | varchar | 64 | ?? | ||
| sourceTable | Programme | VVVv20110718 | Table name of merged sources | varchar | 64 | ?? | ||
| SPEC_TYPE | mgcGalaxyStruct | MGC | SPD's CONTINUUM type (1=El 15.0, 2=Sa 7.4, 3=SC 2.2) | tinyint | 1 | 0 | ||
| SPECID | spectra | SIXDF | unique ID no., used to generate GIF image of spectrum | bigint | 8 | |||
| SPECTRA | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0 | XMM | The flag is set to True if this source has a spectrum made in at least one exposure. | varchar | 5 | |||
| SPECTRA | xmm3dr4 | XMM | The flag is set to 1 if this source has a spectrum made in at least one exposure. | bit | 1 | |||
| specType | ogle3LpvLmcSource, ogle3LpvSmcSource | OGLE | Spectral type (O - oxygen-rich, C - carbon-rich) | varchar | 1 | src.spType | ||
| spos | twomass_sixx2_psc, twomass_sixx2_xsc | TWOMASS | # of scans in which src position falls inside coverage area | smallint | 2 | |||
| spt_ind | allwise_sc | WISE | Level 7 HTM spatial index key | int | 4 | |||
| SQF3_6 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | Source Quality Flag for 3.6um IRAC (Band 1) | int | 4 | -9 | ||
| sqf3_6 | sage_lmcIracSource | SPITZER | Source Quality Flag for band 3.6 | int | 4 | |||
| sqf3_6 | sage_smcIRACv1_5Source | SPITZER | Source Quality Flag for 3.6um IRAC (Band 1) (see SAGE-SMC_IRAC_colDescriptions footnote 1) | int | 4 | |||
| SQF4_5 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | Source Quality Flag for 4.5um IRAC (Band 2) | int | 4 | -9 | ||
| sqf4_5 | sage_lmcIracSource | SPITZER | Source Quality Flag for band 4.5 | int | 4 | |||
| sqf4_5 | sage_smcIRACv1_5Source | SPITZER | Source Quality Flag for 4.5um IRAC (Band 2) (see SAGE-SMC_IRAC_colDescriptions footnote 1) | int | 4 | |||
| SQF5_8 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | Source Quality Flag for 5.8um IRAC (Band 3) | int | 4 | -9 | ||
| sqf5_8 | sage_lmcIracSource | SPITZER | Source Quality Flag for band 5.8 | int | 4 | |||
| sqf5_8 | sage_smcIRACv1_5Source | SPITZER | Source Quality Flag for 5.8um IRAC (Band 3) (see SAGE-SMC_IRAC_colDescriptions footnote 1) | int | 4 | |||
| SQF8_0 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | Source Quality Flag for 8.0um IRAC (Band 4) | int | 4 | -9 | ||
| sqf8_0 | sage_lmcIracSource | SPITZER | Source Quality Flag for band 8.0 | int | 4 | |||
| sqf8_0 | sage_smcIRACv1_5Source | SPITZER | Source Quality Flag for 8.0um IRAC (Band 4) (see SAGE-SMC_IRAC_colDescriptions footnote 1) | int | 4 | |||
| SQFH | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | 2MASS All-Sky PSC H Band Source Quality Flag | int | 4 | -9 | ||
| sqfH | sage_lmcIracSource | SPITZER | Source Quality Flag for band H | int | 4 | |||
| sqfH | sage_smcIRACv1_5Source | SPITZER | 2MASS All-Sky PSC H Band Source Quality Flag (see SAGE-SMC_IRAC_colDescriptions footnote 1) | int | 4 | |||
| SQFJ | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | 2MASS All-Sky PSC J Band Source Quality Flag | int | 4 | -9 | ||
| sqfJ | sage_lmcIracSource | SPITZER | Source Quality Flag for band J | int | 4 | |||
| sqfJ | sage_smcIRACv1_5Source | SPITZER | 2MASS All-Sky PSC J Band Source Quality Flag (see SAGE-SMC_IRAC_colDescriptions footnote 1) | int | 4 | |||
| sqfK | sage_lmcIracSource | SPITZER | Source Quality Flag for band K | int | 4 | |||
| sqfK | sage_smcIRACv1_5Source | SPITZER | 2MASS All-Sky PSC Ks Band Source Quality Flag (see SAGE-SMC_IRAC_colDescriptions footnote 1) | int | 4 | |||
| SQFKs | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | 2MASS All-Sky PSC Ks Band Source Quality Flag | int | 4 | -9 | ||
| SQL1 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Source Quality Flag for band 1 flux | int | 4 | -9 | ||
| SQL2 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Source Quality Flag for band 2 flux | int | 4 | -9 | ||
| SQL3 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Source Quality Flag for band 3 flux | int | 4 | -9 | ||
| SQL4 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Source Quality Flag for band 4 flux | int | 4 | -9 | ||
| sqlSchemaFile | ExternalProduct | SHARKSv20210222 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | SHARKSv20210421 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | ULTRAVISTADR4 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VHSDR3 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VHSDR4 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VHSDR5 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VHSDR6 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VHSv20150108 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VHSv20160114 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VHSv20160507 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VHSv20170630 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VHSv20180419 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VHSv20201209 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VHSv20231101 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VIDEODR4 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VIDEODR5 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VIKINGDR4 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VIKINGv20150421 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VIKINGv20151230 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VIKINGv20160406 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VIKINGv20161202 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VIKINGv20170715 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCDEEPv20230713 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCDR3 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCDR4 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCDR5 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20140428 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20140903 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20150309 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20151218 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20160311 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20160822 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20170109 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20170411 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20171101 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20180702 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20181120 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20191212 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20210708 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20230816 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VMCv20240226 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 64 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VVVDR5 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| sqlSchemaFile | ExternalProduct | VVVXDR1 | Relative path of the schema file containing the table description that the data will be ingested into if necessary | varchar | 32 | 'NONE' | ||
| src | allwise_sc | WISE | Sequential number of the source extraction in the Atlas Tile from in which this source detected and measured, in approximate descending order of W1 source brightness. | int | 4 | |||
| src | wise_allskysc | WISE | Sequential number of this source extraction in the Atlas Tile from which this source was extracted, in approximate descending order of W1 source brightness. | bigint | 8 | |||
| src | wise_prelimsc | WISE | Sequential number of this source extraction in the Atlas Tile from which this source was extracted, in approximate descending order of W1 source brightness | bigint | 8 | |||
| SRC_NUM | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | The (decimal) source number in the individual source list for this observation; in the hexadecimal system it identifies the source-specific product files belonging to this detection. | int | 4 | |||
| srcCps | rosat_bsc, rosat_fsc | ROSAT | source countrate in the broad energy band, vignetting corrected | real | 4 | counts/sec | phot.count;em.X-ray | |
| srcdens1 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Local source density for band 1 | real | 4 | #/sqamin | -9.9 | |
| srcdens2 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Local source density for band 2 | real | 4 | #/sqamin | -9.9 | |
| srcdens3 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Local source density for band 3 | real | 4 | #/sqamin | -9.9 | |
| srcdens3_6 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | Local source density for 3.6um IRAC (Band 1) | real | 4 | arcmin**-2 | -9.9 | |
| srcdens4 | glimpse_hrc_inter, glimpse_mca_inter | GLIMPSE | Local source density for band 4 | real | 4 | #/sqamin | -9.9 | |
| srcdens4_5 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | Local source density for 4.5um IRAC (Band 2) | real | 4 | arcmin**-2 | -9.9 | |
| srcdens5_8 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | Local source density for 5.8um IRAC (Band 3) | real | 4 | arcmin**-2 | -9.9 | |
| srcdens8_0 | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | Local source density for 8.0um IRAC (Band 4) | real | 4 | arcmin**-2 | -9.9 | |
| srcDensity3_6 | sage_lmcIracSource | SPITZER | Local source density for band 3.6 | real | 4 | #/sq arcmin | ||
| srcDensity3_6 | sage_smcIRACv1_5Source | SPITZER | Local source density for 3.6um IRAC (Band 1). See section 4.1 of GLIMPSE Data Products (v1.5) document. | real | 4 | #/sq arcmin | ||
| srcDensity4_5 | sage_lmcIracSource | SPITZER | Local source density for band 4.5 | real | 4 | #/sq arcmin | ||
| srcDensity4_5 | sage_smcIRACv1_5Source | SPITZER | Local source density for 4.5um IRAC (Band 2). See section 4.1 of GLIMPSE Data Products (v1.5) document. | real | 4 | #/sq arcmin | ||
| srcDensity5_8 | sage_lmcIracSource | SPITZER | Local source density for band 5.8 | real | 4 | #/sq arcmin | ||
| srcDensity5_8 | sage_smcIRACv1_5Source | SPITZER | Local source density for 5.8um IRAC (Band 3). See section 4.1 of GLIMPSE Data Products (v1.5) document. | real | 4 | #/sq arcmin | ||
| srcDensity8_0 | sage_lmcIracSource | SPITZER | Local source density for band 8.0 | real | 4 | #/sq arcmin | ||
| srcDensity8_0 | sage_smcIRACv1_5Source | SPITZER | Local source density for 8.0um IRAC (Band 4). See section 4.1 of GLIMPSE Data Products (v1.5) document. | real | 4 | #/sq arcmin | ||
| SRCID | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 | XMM | A unique number assigned to a group of catalogue entries which are assumed to be the same source. To identify members of the same group the distance in arcseconds between each pair of sources was compared on the two-sigma level of both positional errors. A maximum distance of 7" was assumed, which was reduced to 0.9 * DIST_NN (distance to the nearest neighbour) where necessary. | int | 4 | |||
| srcID | rosat_bsc, rosat_fsc | ROSAT | SASS source number (MASOL number) in SASS field | varchar | 4 | meta.id | ||
| SRCID_2XMMi | twoxmmi_dr3_v1_0 | XMM | The unique source ID of the detection, DETID, in the 2XMMi catalogue. Due to the nature of the matching algorithm, some detections were re-assigned to a different source due to the presence of new detections. | int | 4 | |||
| SRCID_2XMMP | twoxmm, twoxmm_v1_2 | XMM | The source ID of the 2XMMp unique source matched within radius of 3" and using the closest candidate. | int | 4 | |||
| srcl | rosat_bsc, rosat_fsc | ROSAT | likelihood of source detection | smallint | 2 | stat.likelihood | ||
| srcName | glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca | GLIMPSE | GLIMPSEI Highly Reliable Catalogue source name | varchar | 32 | meta.id;meta.main | ||
| srcName | glimpse_hrc_inter | GLIMPSE | GLIMPSE Highly Reliable Catalogue source name | varchar | 32 | meta.id;meta.main | ||
| srcName | glimpse_mca_inter | GLIMPSE | GLIMPSE More Complete Archive source name | varchar | 32 | meta.id;meta.main | ||
| srcName | rosat_bsc, rosat_fsc | ROSAT | ROSAT All-Sky Survey Catalogue source name | varchar | 16 | meta.id;meta.main | ||
| stackRadius | RequiredStack | SHARKSv20210421 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | ULTRAVISTADR4 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSDR1 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSDR2 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSDR3 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSDR4 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSDR5 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSDR6 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSv20120926 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSv20130417 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSv20150108 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSv20160114 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSv20160507 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSv20170630 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSv20180419 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSv20201209 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VHSv20231101 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIDEODR2 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIDEODR3 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIDEODR4 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIDEODR5 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIDEOv20100513 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIDEOv20111208 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIKINGDR2 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIKINGDR3 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIKINGDR4 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIKINGv20110714 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIKINGv20111019 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIKINGv20130417 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIKINGv20150421 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIKINGv20151230 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIKINGv20160406 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIKINGv20161202 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VIKINGv20170715 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCDEEPv20230713 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCDR1 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCDR3 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCDR4 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCDR5 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20110816 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20110909 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20120126 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20121128 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20130304 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20130805 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20140428 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20140903 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20150309 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20151218 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20160311 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20160822 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20170109 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20170411 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20171101 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20180702 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20181120 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20191212 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20210708 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20230816 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VMCv20240226 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VSAQC | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VVVDR1 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VVVDR2 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VVVDR5 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VVVXDR1 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VVVv20100531 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack | VVVv20110718 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| stackRadius | RequiredStack, RequiredTile | SHARKSv20210222 | radius within which intermediate stacks are selected for this deep stack. | real | 4 | deg | -0.9999995e9 | |
| starDensity | twompzPhotoz | TWOMPZ | Coadd log(density) of stars with K<14 at this position {image primary HDU keyword: density} | real | 4 | -0.9999995e9 | ||
| starProb | vmcPsfSource | VMCDR5 | Discrete star probability 1=100% to be a star, 0=0% probability to be a star {catalogue TType keyword: Star_prob} | real | 4 | stat.probability | ||
| starProb | vmcPsfSource | VMCv20180702 | Discrete star probability 1=100% to be a star, 0=0% probability to be a star {catalogue TType keyword: Star_prob} | real | 4 | stat.probability | ||
| starProb | vmcPsfSource | VMCv20181120 | Discrete star probability 1=100% to be a star, 0=0% probability to be a star {catalogue TType keyword: Star_prob} | real | 4 | stat.probability | ||
| starProb | vmcPsfSource | VMCv20191212 | Discrete star probability 1=100% to be a star, 0=0% probability to be a star {catalogue TType keyword: Star_prob} | real | 4 | stat.probability | ||
| starProb | vmcPsfSource | VMCv20210708 | Discrete star probability 1=100% to be a star, 0=0% probability to be a star {catalogue TType keyword: Star_prob} | real | 4 | stat.probability | ||
| starProb | vmcPsfSource | VMCv20230816 | Discrete star probability 1=100% to be a star, 0=0% probability to be a star {catalogue TType keyword: Star_prob} | real | 4 | stat.probability | ||
| starProb | vmcPsfSource | VMCv20240226 | Discrete star probability 1=100% to be a star, 0=0% probability to be a star {catalogue TType keyword: Star_prob} | real | 4 | stat.probability | ||
| startDate | AstrCalVers | SHARKSv20210222 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | SHARKSv20210421 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | ULTRAVISTADR4 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSDR1 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSDR2 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSDR3 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSDR4 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSDR5 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSDR6 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSv20120926 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSv20130417 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSv20150108 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSv20160114 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSv20160507 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSv20170630 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSv20180419 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSv20201209 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VHSv20231101 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIDEODR2 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIDEODR3 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIDEODR4 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIDEODR5 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIDEOv20100513 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIDEOv20111208 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIKINGDR2 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIKINGDR3 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIKINGDR4 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIKINGv20110714 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIKINGv20111019 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIKINGv20130417 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIKINGv20150421 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIKINGv20151230 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIKINGv20160406 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIKINGv20161202 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VIKINGv20170715 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCDEEPv20230713 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCDR1 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCDR3 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCDR4 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCDR5 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20110816 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20110909 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20120126 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20121128 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20130304 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20130805 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20140428 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20140903 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20150309 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20151218 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20160311 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20160822 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20170109 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20170411 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20171101 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20180702 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20181120 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20191212 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20210708 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20230816 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VMCv20240226 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VVVDR1 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VVVDR2 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VVVDR5 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VVVXDR1 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VVVv20100531 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | AstrCalVers | VVVv20110718 | MJD of the start time for this version of the calibration | float | 8 | Julian days | time.epoch | |
| startDate | PhotCalVers | SHARKSv20210222 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | SHARKSv20210421 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | ULTRAVISTADR4 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSDR1 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSDR2 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSDR3 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSDR4 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSDR5 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSDR6 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSv20120926 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSv20130417 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSv20150108 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSv20160114 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSv20160507 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSv20170630 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSv20180419 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSv20201209 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VHSv20231101 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIDEODR2 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIDEODR3 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIDEODR4 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIDEODR5 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIDEOv20100513 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIDEOv20111208 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIKINGDR2 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIKINGDR3 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIKINGDR4 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIKINGv20110714 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIKINGv20111019 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIKINGv20130417 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIKINGv20150421 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIKINGv20151230 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIKINGv20160406 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIKINGv20161202 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VIKINGv20170715 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCDEEPv20230713 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCDR1 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCDR3 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCDR4 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCDR5 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20110816 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20110909 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20120126 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20121128 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20130304 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20130805 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20140428 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20140903 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20150309 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20151218 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20160311 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20160822 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20170109 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20170411 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20171101 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20180702 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20181120 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20191212 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20210708 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20230816 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VMCv20240226 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VVVDR1 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VVVDR2 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VVVDR5 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VVVXDR1 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VVVv20100531 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| startDate | PhotCalVers | VVVv20110718 | Date time of start time for this version of the calibration (MM-DD-YYYY) | datetime | 8 | MM-DD-YYYY | 12-31-9999 | time.epoch |
| status | ProgrammeCurationHistory | SHARKSv20210222 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | SHARKSv20210421 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | ULTRAVISTADR4 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSDR1 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSDR2 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSDR3 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSDR4 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSDR5 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSDR6 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSv20120926 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSv20130417 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSv20150108 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSv20160114 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSv20160507 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSv20170630 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSv20180419 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSv20201209 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VHSv20231101 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIDEODR2 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIDEODR3 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIDEODR4 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIDEODR5 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIDEOv20100513 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIDEOv20111208 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIKINGDR2 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIKINGDR3 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIKINGDR4 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIKINGv20110714 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIKINGv20111019 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIKINGv20130417 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIKINGv20150421 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIKINGv20151230 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIKINGv20160406 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIKINGv20161202 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VIKINGv20170715 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCDEEPv20230713 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCDR1 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCDR3 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCDR4 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCDR5 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20110816 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20110909 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20120126 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20121128 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20130304 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20130805 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20140428 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20140903 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20150309 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20151218 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20160311 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20160822 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20170109 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20170411 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20171101 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20180702 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20181120 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20191212 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20210708 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20230816 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VMCv20240226 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VSAQC | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VVVDR1 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VVVDR2 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VVVDR5 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VVVXDR1 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VVVv20100531 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| status | ProgrammeCurationHistory | VVVv20110718 | successful (1) or unsuccessful (0) | tinyint | 1 | meta.code | ||
| std_dev | phot_variable_time_series_g_fov_statistical_parameters | GAIADR1 | Square root of the unweighted variance of the G-band time series values | float | 8 | mag | phot.mag;stat.stdev | |
| stdCRms | CurrentAstrometry | SHARKSv20210222 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | SHARKSv20210421 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | ULTRAVISTADR4 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSDR1 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSDR2 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSDR3 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSDR4 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSDR5 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSDR6 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSv20120926 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSv20130417 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSv20140409 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSv20150108 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSv20160114 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSv20160507 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSv20170630 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSv20180419 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSv20201209 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VHSv20231101 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIDEODR2 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIDEODR3 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIDEODR4 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIDEODR5 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIDEOv20100513 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIDEOv20111208 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIKINGDR2 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIKINGDR3 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIKINGDR4 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIKINGv20110714 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIKINGv20111019 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIKINGv20130417 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIKINGv20140402 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIKINGv20150421 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIKINGv20151230 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIKINGv20160406 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIKINGv20161202 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VIKINGv20170715 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCDEEPv20230713 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCDR1 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCDR2 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCDR3 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCDR4 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCDR5 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20110816 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20110909 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20120126 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20121128 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20130304 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20130805 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20140428 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20140903 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20150309 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20151218 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20160311 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20160822 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20170109 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20170411 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20171101 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20180702 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20181120 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20191212 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20210708 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20230816 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VMCv20240226 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VVVDR1 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VVVDR2 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VVVDR5 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VVVXDR1 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VVVv20100531 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | CurrentAstrometry | VVVv20110718 | RMS residual of fit to astrometric standards {image extension keyword: STDCRMS} | float | 8 | -0.9999995e9 | stat.fit.residual | |
| stdCRms | sharksCurrentAstrometry, ultravistaCurrentAstrometry, vhsCurrentAstrometry, videoCurrentAstrometry, vikingCurrentAstrometry, vmcCurrentAstrometry, vvvCurrentAstrometry | VSAQC | RMS residual of fit to astrometric standards | float | 8 | -0.9999995e9 | stat.fit.residual | |
| StdDev_HRV | ravedr5Source | RAVE | Standard deviation in HRV from 10 resampled spectra | float | 8 | km/s | stat.stddev;spect.dopplerVeloc;pos.heliocentric | |
| StdDev_logg_K | ravedr5Source | RAVE | Standard deviation of surface gravity from 10 resampled spectra | float | 8 | dex | stat.stddev;phys.gravity | |
| StdDev_Met_K | ravedr5Source | RAVE | Standard deviation in Met_K from 10 resampled spectra | float | 8 | dex | stat.stddev;phys.abund.Z | |
| StdDev_Teff_K | ravedr5Source | RAVE | Standard deviation in Teff_K from 10 resampled spectra | float | 8 | K | stat.stddev;phys.temperature.effective | |
| STEL | mgcDetection | MGC | Stellaricity | real | 4 | |||
| stellardets | vvvParallaxCatalogue, vvvProperMotionCatalogue | VVVDR5 | the number of pawprint sets in which the source had a stellar modal morphological classification. {catalogue TType keyword: stellardets} | int | 4 | -99999999 | ||
| stellarity | combo17CDFSSource | COMBO17 | stellarity index from SExtractor | real | 4 | |||
| STN_SPARV | ravedr5Source | RAVE | (R+) Signal/Noise Ratio of SPARV Pipeline V 5.x | float | 8 | stat.snr | ||
| Strip | denisDR3Source | DENIS | DENIS strip number | int | 4 | |||
| strprms | MultiframeDetector | SHARKSv20210222 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | SHARKSv20210421 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | ULTRAVISTADR4 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSDR1 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSDR2 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSDR3 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSDR4 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSDR5 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSDR6 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSv20120926 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSv20130417 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSv20140409 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSv20150108 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSv20160114 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSv20160507 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSv20170630 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSv20180419 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSv20201209 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VHSv20231101 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIDEODR2 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIDEODR3 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIDEODR4 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIDEODR5 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIDEOv20100513 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIDEOv20111208 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIKINGDR2 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIKINGDR3 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIKINGDR4 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIKINGv20110714 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIKINGv20111019 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIKINGv20130417 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIKINGv20140402 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIKINGv20150421 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIKINGv20151230 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIKINGv20160406 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIKINGv20161202 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VIKINGv20170715 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCDEEPv20230713 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCDR1 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCDR2 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCDR3 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCDR4 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCDR5 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20110816 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20110909 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20120126 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20121128 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20130304 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20130805 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20140428 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20140903 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20150309 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20151218 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20160311 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20160822 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20170109 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20170411 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20171101 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20180702 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20181120 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20191212 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20210708 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20230816 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VMCv20240226 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VVVDR1 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VVVDR2 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VVVDR5 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VVVXDR1 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VVVv20100531 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | MultiframeDetector | VVVv20110718 | RMS of stripe pattern removed {image extension keyword: STRPRMS} | real | 4 | -0.9999995e9 | ||
| strprms | sharksMultiframeDetector, ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector | VSAQC | RMS of stripe pattern removed | real | 4 | -0.9999995e9 | ||
| subType | ogle3LpvLmcSource, ogle3LpvSmcSource | OGLE | Subtype of LPVs (Mira, SRV, OSARG) | varchar | 5 | meta.type | ||
| subtype | ogle4RRLyrLmcSource, ogle4RRLyrSmcSource | OGLE | Subtype of RR Lyr star (RRab, RRc, RRd, RRe) | varchar | 5 | meta.type | ||
| SUM_FLAG | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0 | XMM | The summary flag of the source is derived from EP_FLAG. It is 0 if none of the nine flags was set; it is set to 1 if at least one of the warning flags (flag 1, 2, 3, 9) was set but no possible-spurious-detection flag (flag 7, 8); it is set to 2 if at least one of the possible-spurious-detection flags (flag 7, 8) was set but not the manual flag (flag 11); it is set to 3 if the manual flag (flag 11) was set but no possible-spurious-detection flags (flag 7, 8); it is set to 4 if the manual flag (flag 11) as well as one of the possible-spurious-detection flags (flag 7, 8) is set. The meaning is thus: 0 = good, 1 = source parameters may be affected, 2 = possibly spurious, 3 = located in a area where spurious detection may occur, 4 = located in a area where spurious detection may occur and possibly spurious. . | int | 4 | |||
| SUM_FLAG | xmm3dr4 | XMM | The summary flag of the source is derived from EP_FLAG. It is 0 if none of the nine flags was set; it is set to 1 if at least one of the warning flags (flag 1, 2, 3, 9) was set but no possible-spurious-detection flag (flag 7, 8); it is set to 2 if at least one of the possible-spurious-detection flags (flag 7, 8) was set but not the manual flag (flag 11); it is set to 3 if the manual flag (flag 11) was set but no possible-spurious-detection flags (flag 7, 8); it is set to 4 if the manual flag (flag 11) as well as one of the possible-spurious-detection flags (flag 7, 8) is set. The meaning is thus: 0 = good, 1 = source parameters may be affected, 2 = possibly spurious, 3 = located in a area where spurious detection may occur, 4 = located in a area where spurious detection may occur and possibly spurious. . | smallint | 2 | |||
| sumWeight | ultravistaMapRemeasAver | ULTRAVISTADR4 | Normalised (conf=100 in a pawprint=1) sum of all the weights, giving estimate of depth | real | 4 | |||
| sumWeight | vikingMapRemeasAver | VIKINGZYSELJv20160909 | Normalised (conf=100 in a pawprint=1) sum of all the weights, giving extimate of depth | real | 4 | |||
| sumWeight | vikingMapRemeasAver | VIKINGZYSELJv20170124 | Normalised (conf=100 in a pawprint=1) sum of all the weights, giving extimate of depth | real | 4 | |||
| sup_ba | twomass_sixx2_xsc | TWOMASS | minor/major axis ratio fit to 3-sig. super-coadd isophote | real | 4 | |||
| sup_ba | twomass_xsc | TWOMASS | Minor/major axis ratio fit to 3-sig. super-coadd isophote. | real | 4 | phys.size.axisRatio | ||
| sup_chif_ellf | twomass_xsc | TWOMASS | super-coadd % chi-fraction for ellip. fit to 3-sig isophote. | real | 4 | stat.fit.param | ||
| sup_dec | twomass_xsc | TWOMASS | Super-coadd centroid Dec (J2000 decimal deg). | float | 8 | degrees | pos.eq.dec;meta.main | |
| sup_phi | twomass_sixx2_xsc | TWOMASS | super-coadd angle to major axis (E of N) | smallint | 2 | deg | ||
| sup_phi | twomass_xsc | TWOMASS | Super-coadd angle to major axis (E of N). | smallint | 2 | degrees | pos.posAng | |
| sup_r_3sig | twomass_xsc | TWOMASS | Super-coadd 3-sigma isophotal semi-major axis radius. | real | 4 | arcsec | stat.error | |
| sup_ra | twomass_xsc | TWOMASS | Super-coadd centroid RA (J2000 decimal deg). | float | 8 | degrees | pos.eq.ra;meta.main | |
| supDec | twompzPhotoz | TWOMPZ | Super co-add centroid Dec. (J2000) {image primary HDU keyword: supDEdeg} | float | 8 | Degrees | -0.9999995e9 | pos.eq.dec |
| supRa | twompzPhotoz | TWOMPZ | Super co-add centroid R.A. (J2000) {image primary HDU keyword: supRAdeg} | float | 8 | Degrees | -0.9999995e9 | pos.eq.ra |
| surveyID | Detection, StackObjectThin | PS1DR2 | Survey identifier. Details in the Survey table. | tinyint | 1 | |||
| surveyID | ExternalSurvey | SHARKSv20210421 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | ULTRAVISTADR4 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSDR1 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSDR2 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSDR3 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSDR4 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSDR5 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSDR6 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSv20120926 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSv20130417 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSv20150108 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSv20160114 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSv20160507 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSv20170630 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSv20180419 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSv20201209 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VHSv20231101 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIDEODR2 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIDEODR3 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIDEODR4 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIDEODR5 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIDEOv20100513 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIDEOv20111208 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIKINGDR2 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIKINGDR3 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIKINGDR4 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIKINGv20110714 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIKINGv20111019 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIKINGv20130417 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIKINGv20150421 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIKINGv20151230 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIKINGv20160406 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIKINGv20161202 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VIKINGv20170715 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCDEEPv20230713 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCDR1 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCDR3 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCDR4 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCDR5 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20110816 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20110909 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20120126 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20121128 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20130304 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20130805 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20140428 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20140903 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20150309 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20151218 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20160311 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20160822 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20170109 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20170411 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20171101 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20180702 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20181120 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20191212 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20210708 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20230816 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VMCv20240226 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VSAQC | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VVVDR1 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VVVDR2 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VVVDR5 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VVVXDR1 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VVVv20100531 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey | VVVv20110718 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ExternalSurvey, ExternalSurveyTable, MapSurveyTables, Release, RequiredNeighbours | SHARKSv20210222 | the unique identifier for the survey | int | 4 | meta.id | ||
| surveyID | ObjectThin | PS1DR2 | Survey identifier. Details in the Survey table. | tinyint | 1 | meta.id | ||
| surveyID | RequiredListDrivenProduct | VHSDR1 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VHSDR2 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VHSv20120926 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VHSv20130417 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VIDEODR2 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VIDEODR3 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VIDEOv20100513 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VIDEOv20111208 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VIKINGDR2 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VIKINGDR3 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VIKINGv20110714 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VIKINGv20111019 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VIKINGv20130417 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VMCDR1 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VMCv20110816 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VMCv20110909 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VMCv20120126 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VMCv20121128 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VMCv20130304 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VMCv20130805 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VVVDR1 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VVVv20100531 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | RequiredListDrivenProduct | VVVv20110718 | the unique ID of the external survey (if applicable) | int | 4 | -99999999 | meta.id | |
| surveyID | Survey | SHARKSv20210421 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | ULTRAVISTADR4 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSDR1 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSDR2 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSDR3 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSDR4 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSDR5 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSDR6 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSv20120926 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSv20130417 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSv20150108 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSv20160114 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSv20160507 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSv20170630 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSv20180419 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSv20201209 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VHSv20231101 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIDEODR2 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIDEODR3 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIDEODR4 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIDEODR5 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIDEOv20100513 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIDEOv20111208 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIKINGDR2 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIKINGDR3 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIKINGDR4 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIKINGv20110714 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIKINGv20111019 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIKINGv20130417 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIKINGv20150421 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIKINGv20151230 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIKINGv20160406 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIKINGv20161202 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VIKINGv20170715 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCDEEPv20230713 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCDR1 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCDR3 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCDR4 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCDR5 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20110816 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20110909 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20120126 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20121128 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20130304 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20130805 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20140428 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20140903 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20150309 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20151218 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20160311 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20160822 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20170109 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20170411 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20171101 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20180702 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20181120 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20191212 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20210708 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20230816 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VMCv20240226 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VSAQC | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VVVDR1 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VVVDR2 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VVVDR5 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VVVXDR1 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VVVv20100531 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey | VVVv20110718 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyID | Survey, SurveyProgrammes | SHARKSv20210222 | The unique identifier for the curated survey | int | 4 | meta.id | ||
| surveyIDString | Multiframe | SHARKSv20210222 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | SHARKSv20210421 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | ULTRAVISTADR4 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSDR1 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSDR2 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSDR3 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSDR4 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSDR5 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSDR6 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSv20120926 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSv20130417 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSv20140409 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSv20150108 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSv20160114 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSv20160507 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSv20170630 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSv20180419 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSv20201209 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VHSv20231101 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIDEODR2 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIDEODR3 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIDEODR4 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIDEODR5 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIDEOv20111208 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIKINGDR2 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIKINGDR3 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIKINGDR4 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIKINGv20110714 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIKINGv20111019 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIKINGv20130417 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIKINGv20140402 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIKINGv20150421 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIKINGv20151230 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIKINGv20160406 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIKINGv20161202 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VIKINGv20170715 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCDEEPv20230713 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCDR1 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCDR2 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCDR3 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCDR4 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCDR5 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20110816 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20110909 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20120126 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20121128 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20130304 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20130805 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20140428 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20140903 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20150309 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20151218 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20160311 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20160822 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20170109 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20170411 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20171101 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20180702 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20181120 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20191212 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20210708 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20230816 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VMCv20240226 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VVVDR1 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VVVDR2 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VVVDR5 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VVVXDR1 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | Multiframe | VVVv20110718 | SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} | varchar | 64 | NONE | ||
| surveyIDString | sharksMultiframe, ultravistaMultiframe, vhsMultiframe, videoMultiframe, vikingMultiframe, vmcMultiframe, vvvMultiframe | VSAQC | SADT survey ID | varchar | 64 | NONE | ||
| surveyName | ExternalSurvey | SHARKSv20210222 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | SHARKSv20210421 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | ULTRAVISTADR4 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSDR1 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSDR2 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSDR3 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSDR4 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSDR5 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSDR6 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSv20120926 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSv20130417 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSv20150108 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSv20160114 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSv20160507 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSv20170630 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSv20180419 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSv20201209 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VHSv20231101 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIDEODR2 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIDEODR3 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIDEODR4 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIDEODR5 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIDEOv20100513 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIDEOv20111208 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIKINGDR2 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIKINGDR3 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIKINGDR4 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIKINGv20110714 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIKINGv20111019 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIKINGv20130417 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIKINGv20150421 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIKINGv20151230 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIKINGv20160406 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIKINGv20161202 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VIKINGv20170715 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCDEEPv20230713 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCDR1 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCDR3 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCDR4 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCDR5 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20110816 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20110909 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20120126 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20121128 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20130304 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20130805 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20140428 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20140903 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20150309 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20151218 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20160311 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20160822 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20170109 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20170411 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20171101 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20180702 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20181120 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20191212 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20210708 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20230816 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VMCv20240226 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VSAQC | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VVVDR1 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VVVDR2 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VVVDR5 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VVVXDR1 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VVVv20100531 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| surveyName | ExternalSurvey | VVVv20110718 | The short name of the survey, eg. 2MASS, GLIMPSE etc. | varchar | 32 | ?? | ||
| SVMClass | wiseScosSvm | WISExSCOSPZ | SVM classification {image primary HDU keyword: SVMClass} | smallint | 2 | -9999 | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCDR1 | the UID of the relevant frame set | bigint | 8 | obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCDR2 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCDR3 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCDR4 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCDR5 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20110816 | the UID of the relevant frame set | bigint | 8 | obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20110909 | the UID of the relevant frame set | bigint | 8 | obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20120126 | the UID of the relevant frame set | bigint | 8 | obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20121128 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20130304 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20130805 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20140428 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20140903 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20150309 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20151218 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20160311 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20160822 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20170109 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20170411 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20171101 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20180702 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20181120 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20191212 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20210708 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20230816 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSourceXSynopticSourceBestMatch | VMCv20240226 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcSynopticMergeLog | VMCDR1 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCDR2 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCDR3 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCDR4 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCDR5 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20110816 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20110909 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20120126 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20121128 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20130304 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20130805 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20140428 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20140903 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20150309 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20151218 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20160311 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20160822 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20170109 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20170411 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20171101 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20180702 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20181120 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20191212 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20210708 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20230816 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticMergeLog | VMCv20240226 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCDR1 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCDR2 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCDR3 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCDR4 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCDR5 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.id | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20110816 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20110909 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20120126 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20121128 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20130304 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20130805 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20140428 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20140903 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20150309 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20151218 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20160311 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20160822 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20170109 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20170411 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20171101 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20180702 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20181120 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20191212 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.id | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20210708 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.id | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20230816 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.id | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcSynopticSource | VMCv20240226 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.id | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcdeepSourceXSynopticSourceBestMatch | VMCDEEPv20230713 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vmcdeepSynopticMergeLog | VMCDEEPv20230713 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vmcdeepSynopticSource | VMCDEEPv20230713 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.id | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vvvSourceXSynopticSourceBestMatch | VVVDR1 | the UID of the relevant frame set | bigint | 8 | meta.id;obs.field | ||
| synFrameSetID | vvvSynopticMergeLog | VVVDR1 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vvvSynopticMergeLog | VVVDR2 | frame set ID, unique over the whole VSA via programme ID prefix, assigned by merging procedure | bigint | 8 | meta.id;obs.field | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vvvSynopticSource | VVVDR1 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synFrameSetID | vvvSynopticSource | VVVDR2 | UID of the set of frames that this merged source comes from | bigint | 8 | meta.bib | ||
| Each merged source in the merged source tables come from a set of individual passband frames (with different filters and/or different epochs of observation). In the WSA, a frame is generally the image provided by one detector (dither-stacked and interlaced as appropriate); hence a frame set comprises a set of individual detector frames in different passbands and/or at different observation epochs. Each frame set is uniquely identified by the attribute frameSetID, and this references a row in the corresponding merge log for the source table (for example, vhsSource.frameSetID references whsMergeLog.frameSetID. The merge log in turn references the full set of image descriptive data held in the tables MultiframeDetector and ultimately Multiframe (these two tables map directly onto the multi-extension FITS file hierarchy of extension FITS headers beneath a single primary HDU FITS header - primary HDU FITS keys will be found in Multiframe, while the corresponding extension FITS keys for each primary set will be found in table MultiframeDetector). In this way, you can trace the provenance of a merged source record right back to the individual image frames from which it is derived. | ||||||||
| synopticBestMatchTable | Programme | SHARKSv20210222 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | SHARKSv20210421 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | ULTRAVISTADR4 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSDR1 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSDR2 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSDR3 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSDR4 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSDR5 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSDR6 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSv20120926 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSv20130417 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSv20150108 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSv20160114 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSv20160507 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSv20170630 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSv20180419 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSv20201209 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VHSv20231101 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIDEODR2 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIDEODR3 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIDEODR4 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIDEODR5 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIDEOv20100513 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIDEOv20111208 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIKINGDR2 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIKINGDR3 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIKINGDR4 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIKINGv20110714 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIKINGv20111019 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIKINGv20130417 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIKINGv20150421 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIKINGv20151230 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIKINGv20160406 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIKINGv20161202 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VIKINGv20170715 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCDEEPv20230713 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCDR1 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCDR3 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCDR4 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCDR5 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20110816 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20110909 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20120126 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20121128 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20130304 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20130805 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20140428 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20140903 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20150309 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20151218 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20160311 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20160822 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20170109 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20170411 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20171101 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20180702 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20181120 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20191212 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20210708 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20230816 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VMCv20240226 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VSAQC | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VVVDR1 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VVVDR2 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VVVDR5 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VVVXDR1 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VVVv20100531 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticBestMatchTable | Programme | VVVv20110718 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticID | vmcSynopticSource | VMCDR1 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCDR2 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCDR3 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCDR4 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCDR5 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20110816 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20110909 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20120126 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20121128 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20130304 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20130805 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20140428 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20140903 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20150309 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20151218 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20160311 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20160822 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20170109 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20170411 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20171101 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20180702 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20181120 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20191212 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20210708 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20230816 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcSynopticSource | VMCv20240226 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vmcdeepSynopticSource | VMCDEEPv20230713 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vvvSynopticSource | VVVDR1 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticID | vvvSynopticSource | VVVDR2 | UID (unique over entire VSA via programme ID prefix) of this merged detection as assigned by merge algorithm | bigint | 8 | meta.id;meta.main | ||
| synopticSetUp | Programme | SHARKSv20210222 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | SHARKSv20210421 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | ULTRAVISTADR4 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSDR1 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSDR2 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSDR3 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSDR4 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSDR5 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSDR6 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSv20120926 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSv20130417 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSv20150108 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSv20160114 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSv20160507 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSv20170630 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSv20180419 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSv20201209 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VHSv20231101 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIDEODR2 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIDEODR3 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIDEODR4 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIDEODR5 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIDEOv20111208 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIKINGDR2 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIKINGDR3 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIKINGDR4 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIKINGv20110714 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIKINGv20111019 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIKINGv20130417 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIKINGv20150421 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIKINGv20151230 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIKINGv20160406 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIKINGv20161202 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VIKINGv20170715 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCDEEPv20230713 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCDR1 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCDR3 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCDR4 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCDR5 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20110816 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20110909 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20120126 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20121128 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20130304 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20130805 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20140428 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20140903 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20150309 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20151218 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20160311 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20160822 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20170109 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20170411 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20171101 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20180702 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20181120 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20191212 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20210708 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20230816 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VMCv20240226 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VSAQC | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VVVDR1 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VVVDR2 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VVVDR5 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VVVXDR1 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSetUp | Programme | VVVv20110718 | A string describing the synoptic setup for more complicated surveys | varchar | 64 | NONE | ?? | |
| synopticSourceTable | Programme | SHARKSv20210222 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | SHARKSv20210421 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | ULTRAVISTADR4 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSDR1 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSDR2 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSDR3 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSDR4 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSDR5 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSDR6 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSv20120926 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSv20130417 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSv20150108 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSv20160114 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSv20160507 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSv20170630 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSv20180419 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSv20201209 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VHSv20231101 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIDEODR2 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIDEODR3 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIDEODR4 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIDEODR5 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIDEOv20100513 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIDEOv20111208 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIKINGDR2 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIKINGDR3 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIKINGDR4 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIKINGv20110714 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIKINGv20111019 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIKINGv20130417 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIKINGv20150421 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIKINGv20151230 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIKINGv20160406 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIKINGv20161202 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VIKINGv20170715 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCDEEPv20230713 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCDR1 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCDR3 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCDR4 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCDR5 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20110816 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20110909 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20120126 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20121128 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20130304 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20130805 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20140428 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20140903 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20150309 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20151218 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20160311 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20160822 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20170109 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20170411 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20171101 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20180702 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20181120 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20191212 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20210708 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20230816 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VMCv20240226 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VSAQC | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VVVDR1 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VVVDR2 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VVVDR5 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VVVXDR1 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VVVv20100531 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synopticSourceTable | Programme | VVVv20110718 | Table name of merged variable sources | varchar | 64 | 'NONE' | ?? | |
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCDR2 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCDR3 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCDR4 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCDR5 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.id | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20110816 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.id | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20110909 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.id | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20120126 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.id | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20121128 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20130304 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20130805 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20140428 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20140903 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20150309 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20151218 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20160311 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20160822 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20170109 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20170411 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20171101 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20180702 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20181120 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20191212 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.id | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20210708 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.id | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20230816 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.id | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch | VMCv20240226 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.id | ||
| synSeqNum | vmcSourceXSynopticSourceBestMatch, vmcSynopticSource | VMCDR1 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.id | ||
| synSeqNum | vmcdeepSourceXSynopticSourceBestMatch, vmcdeepSynopticSource | VMCDEEPv20230713 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.id | ||
| synSeqNum | vvvSourceXSynopticSourceBestMatch, vvvSynopticSource | VVVDR1 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| synSeqNum | vvvSynopticSource | VVVDR2 | the running number of this source {catalogue TType keyword: Sequence_number} The running number in this frameSet for ease of reference, in order of matching. |
int | 4 | meta.number | ||
| sys_flg | twomass_xsc | TWOMASS | system flag: 0=no system, 1=nearby galaxy flux incl. in mag. | smallint | 2 | meta.code | ||
| SYSERR | twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0 | XMM | The systematic 1 σ error on the detection position in arcseconds. It is set to be 0.35 arcsec if the SAS task eposcorr results in a statistically reliable cross-correlation with USNO B1.0 optical catalogue. Otherwise the error is 1.0 arsec. | real | 4 | arcsec | ||
| SYSERR | xmm3dr4 | XMM | The estimated 1 σ error arising from the field rectification process (in arcseconds). If the SAS task catcorr results in a statistically reliable cross-correlation with the USNO B1.0, 2MASS or SDSS (DR8) optical/IR catalogues, SYSERRCC combines the errors on the translational shifts in the RA (rashift_error) and DEC (decshift_error) directions, together with the rotational error component, derived from from the catalogue that yields the 'best' solution, as follows: SYSERRCC = SQRT ( rashift_error² + decshift_error² + (r * thetarot_error)² ) where r is the radial off-axis angle of the detection from the spacecraft boresight in arcsecs and thetarot_error is the error on the rotational correction (in radians). Where catcorr fails to obtain a statistically reliable result, SYSERRCC is 1.5 arcseconds (see Sec. 3XMM-DR4 UG, Sec. 3.4 for details). Note that rashift_error, decshift_error and thetarot_error are not provided separately in the catalogue. | real | 4 | arcsec | ||
| sysErrJ | vmcPsfSource | VMCDR5 | Local photometric systematic error in J, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_J} | real | 4 | mag | stat.error;phot.mag;em.IR.J | |
| sysErrJ | vmcPsfSource | VMCv20180702 | Local photometric systematic error in J, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_J} | real | 4 | mag | stat.error;phot.mag;em.IR.J | |
| sysErrJ | vmcPsfSource | VMCv20181120 | Local photometric systematic error in J, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_J} | real | 4 | mag | stat.error;phot.mag;em.IR.J | |
| sysErrJ | vmcPsfSource | VMCv20191212 | Local photometric systematic error in J, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_J} | real | 4 | mag | stat.error;phot.mag;em.IR.J | |
| sysErrJ | vmcPsfSource | VMCv20210708 | Local photometric systematic error in J, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_J} | real | 4 | mag | stat.error;phot.mag;em.IR.J | |
| sysErrJ | vmcPsfSource | VMCv20230816 | Local photometric systematic error in J, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_J} | real | 4 | mag | stat.error;phot.mag;em.IR.J | |
| sysErrJ | vmcPsfSource | VMCv20240226 | Local photometric systematic error in J, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_J} | real | 4 | mag | stat.error;phot.mag;em.IR.J | |
| sysErrKs | vmcPsfSource | VMCDR5 | Local photometric systematic error in Ks, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Ks} | real | 4 | mag | stat.error;phot.mag;em.IR.K | |
| sysErrKs | vmcPsfSource | VMCv20180702 | Local photometric systematic error in Ks, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Ks} | real | 4 | mag | stat.error;phot.mag;em.IR.K | |
| sysErrKs | vmcPsfSource | VMCv20181120 | Local photometric systematic error in Ks, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Ks} | real | 4 | mag | stat.error;phot.mag;em.IR.K | |
| sysErrKs | vmcPsfSource | VMCv20191212 | Local photometric systematic error in Ks, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Ks} | real | 4 | mag | stat.error;phot.mag;em.IR.K | |
| sysErrKs | vmcPsfSource | VMCv20210708 | Local photometric systematic error in Ks, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Ks} | real | 4 | mag | stat.error;phot.mag;em.IR.K | |
| sysErrKs | vmcPsfSource | VMCv20230816 | Local photometric systematic error in Ks, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Ks} | real | 4 | mag | stat.error;phot.mag;em.IR.K | |
| sysErrKs | vmcPsfSource | VMCv20240226 | Local photometric systematic error in Ks, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Ks} | real | 4 | mag | stat.error;phot.mag;em.IR.K | |
| sysErrY | vmcPsfSource | VMCDR5 | Local photometric systematic error in Y, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Y} | real | 4 | mag | stat.error;phot.mag;em.IR.NIR | |
| sysErrY | vmcPsfSource | VMCv20180702 | Local photometric systematic error in Y, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Y} | real | 4 | mag | stat.error;phot.mag;em.IR.NIR | |
| sysErrY | vmcPsfSource | VMCv20181120 | Local photometric systematic error in Y, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Y} | real | 4 | mag | stat.error;phot.mag;em.IR.NIR | |
| sysErrY | vmcPsfSource | VMCv20191212 | Local photometric systematic error in Y, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Y} | real | 4 | mag | stat.error;phot.mag;em.IR.NIR | |
| sysErrY | vmcPsfSource | VMCv20210708 | Local photometric systematic error in Y, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Y} | real | 4 | mag | stat.error;phot.mag;em.IR.NIR | |
| sysErrY | vmcPsfSource | VMCv20230816 | Local photometric systematic error in Y, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Y} | real | 4 | mag | stat.error;phot.mag;em.IR.NIR | |
| sysErrY | vmcPsfSource | VMCv20240226 | Local photometric systematic error in Y, calculated on bins of +/-0.05 magnitude on a ring of radius 0.025 degrees {catalogue TType keyword: syserr_Y} | real | 4 | mag | stat.error;phot.mag;em.IR.NIR | |