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Glossary of VSA attributes

This Glossary alphabetically lists all attributes used in the VSAv20150413 database(s) held in the VSA. If you would like to have more information about the schema tables please use the VSAv20150413 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

NameSchema TableDatabaseDescriptionTypeLengthUnitDefault ValueUnified 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    
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 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 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 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 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 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 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 VVVv20110718 SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} int 4   -99999999  
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 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 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 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 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 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 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 VVVv20110718 SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 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 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 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 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 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 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 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 VVVv20110718 SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 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 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 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 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 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 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 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 VVVv20110718 SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} real 4 arcsec -0.9999995e9  
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 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 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 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 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 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 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 VVVv20110718 SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 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 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 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 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 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 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 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 VVVv20110718 SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} varchar 64   NONE  
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 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 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 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 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 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 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 VVVv20110718 SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} real 4 DDMMSS.TTT -0.9999995e9  
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 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 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 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 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 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 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 VVVv20110718 SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} varchar 64   NONE  
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 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 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 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 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 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 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 VVVv20110718 SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} real 4 deg -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 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 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 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 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 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 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 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 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 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 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 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 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 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 vvvDetection VVVDR1 saturation correction real 4   0.0 stat.param
saturatCorr vvvDetection VVVDR2 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 2MASS The nightly scan number in which the source was detected. smallint 2     meta.number
scan twomass_scn 2MASS Scan number (unique within date). smallint 2     meta.number
scan twomass_sixx2_scn 2MASS scan number (unique within date) smallint 2      
scan twomass_xsc 2MASS scan number (unique within date). smallint 2     meta.number
scan_key twomass_psc 2MASS 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 2MASS the unique identification number for this scan. int 4     meta.id
scan_key twomass_sixx2_xsc 2MASS key to scan data record in "scan DB" int 4      
scan_key twomass_xsc 2MASS key to scan data record in "scan DB". int 4     meta.id
scrunch RequiredMosaic SVNGC253v20100429 CASU mosaic tool mandatory parameter to specifying the no. of pixels to rebin into one pixel in the output image (1=no rebinning) smallint 2 pixels   ??
scrunch RequiredMosaic SVORIONv20100429 CASU mosaic tool mandatory parameter to specifying the no. of pixels to rebin into one pixel in the output image (1=no rebinning) smallint 2 pixels   ??
scrunch RequiredMosaic ULTRAVISTAv20100429 CASU mosaic tool mandatory parameter to specifying the no. of pixels to rebin into one pixel in the output image (1=no rebinning) smallint 2 pixels   ??
sd twomass_scn 2MASS Scanning direction: "n" = north-going, "s" = south-going. varchar 1     pos.posAng
sd twomass_sixx2_scn 2MASS direction of scan -- north/south-bound (n/s) varchar 1      
sdet twomass_sixx2_psc, twomass_sixx2_xsc 2MASS # 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 vhsSourceXDR7PhotoObj VHSDR2 SDSS flag for neighbour being primary (1) or secondary (0) tinyint 1   255 meta.code
sdssPrimary vhsSourceXDR7PhotoObj VHSDR3 SDSS flag for neighbour being primary (1) or secondary (0) tinyint 1   255 meta.code
sdssPrimary vhsSourceXDR7PhotoObj VHSv20120926 SDSS flag for neighbour being primary (1) or secondary (0) tinyint 1   255 meta.code
sdssPrimary vhsSourceXDR7PhotoObj VHSv20130417 SDSS flag for neighbour being primary (1) or secondary (0) tinyint 1   255 meta.code
sdssPrimary vhsSourceXDR7PhotoObj VHSv20140409 SDSS flag for neighbour being primary (1) or secondary (0) tinyint 1   255 meta.code
sdssPrimary vhsSourceXDR7PhotoObj VHSv20150108 SDSS flag for neighbour being primary (1) or secondary (0) tinyint 1   255 meta.code
sdssPrimary vhsSourceXDR7PhotoObj, vhsSourceXDR7PhotoObjAll, vhsSourceXSegueDR6PhotoObj, vhsSourceXSegueDR6PhotoObjAll, vhsSourceXStripe82PhotoObjAll VHSDR1 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 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, 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 vhsSourceXDR7PhotoObj VHSDR2 SDSS type of neighbour: 3=galaxy; 6=star tinyint 1   255 src.class
sdssType vhsSourceXDR7PhotoObj VHSDR3 SDSS type of neighbour: 3=galaxy; 6=star tinyint 1   255 src.class
sdssType vhsSourceXDR7PhotoObj VHSv20120926 SDSS type of neighbour: 3=galaxy; 6=star tinyint 1   255 src.class
sdssType vhsSourceXDR7PhotoObj VHSv20130417 SDSS type of neighbour: 3=galaxy; 6=star tinyint 1   255 src.class
sdssType vhsSourceXDR7PhotoObj VHSv20140409 SDSS type of neighbour: 3=galaxy; 6=star tinyint 1   255 src.class
sdssType vhsSourceXDR7PhotoObj VHSv20150108 SDSS type of neighbour: 3=galaxy; 6=star tinyint 1   255 src.class
sdssType vhsSourceXDR7PhotoObj, vhsSourceXDR7PhotoObjAll, vhsSourceXSegueDR6PhotoObj, vhsSourceXSegueDR6PhotoObjAll, vhsSourceXStripe82PhotoObjAll VHSDR1 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 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, vikingSourceXDR7PhotoObjAll, vikingSourceXStripe82PhotoObjAll VIKINGDR2 SDSS type of neighbour: 3=galaxy; 6=star tinyint 1   255 src.class
sectionID FilterSections VHSv20150108 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 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 VMCDR3 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 VSAQC UID of section of focal plane with different filter tinyint 1      
sectionID FilterSections, SectionDetectors VHSDR3 UID of section of focal plane with different filter tinyint 1      
seeing MultiframeDetector SVNGC253v20100429 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 SVORIONv20100429 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 ULTRAVISTAv20100429 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 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 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 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 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 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 VSAQC 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 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 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  
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 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 spitzer_smcSource SPITZER Sequential number (unique object ID) int 4      
seqNum svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 twomass_sixx2_psc 2MASS Sequential number (unique object ID) int 4      
seqNum ultravistaDetection ULTRAVISTAv20100429 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 ultravistaSourceXDetectionBestMatch ULTRAVISTAv20100429 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 vhsDetection 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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, 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 vvvListRemeasurement 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     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 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 svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 ULTRAVISTAv20100429 SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} real 4   -0.9999995e9  
SerFit1DChi2 vhsDetection 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 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 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 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 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 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 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 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
SerFit2DChi2 svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 ULTRAVISTAv20100429 SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} real 4   -0.9999995e9  
SerFit2DChi2 vhsDetection 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 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 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 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 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 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 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 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
SerFitNu1D svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 ULTRAVISTAv20100429 SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} real 4   -0.9999995e9  
SerFitNu1D vhsDetection 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 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 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 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 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 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 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 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
SerFitNu2D svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 ULTRAVISTAv20100429 SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} real 4   -0.9999995e9  
SerFitNu2D vhsDetection 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 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 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 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 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 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 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 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
SerFlux1D svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 ultravistaDetection ULTRAVISTAv20100429 SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} real 4   -0.9999995e9  
SerFlux1D vhsDetection 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 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 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 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 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 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 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 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
SerFlux2D svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 ultravistaDetection ULTRAVISTAv20100429 SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} real 4   -0.9999995e9  
SerFlux2D vhsDetection 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 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 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 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 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 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 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 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
SerIdx1D svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 ULTRAVISTAv20100429 SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} real 4   -0.9999995e9  
SerIdx1D vhsDetection 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 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 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 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 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 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 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 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
SerIdx2D svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 ULTRAVISTAv20100429 SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} real 4   -0.9999995e9  
SerIdx2D vhsDetection 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 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 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 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 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 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 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 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
SerMag1D svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 ultravistaDetection ULTRAVISTAv20100429 SExtractor parameter real 4   -0.9999995e9  
SerMag1D vhsDetection 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 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 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 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 VIDEOv20100513 SExtractor parameter real 4   -0.9999995e9  
SerMag1D videoDetection VIDEOv20111208 SExtractor parameter real 4   -0.9999995e9  
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 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 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
SerMag2D svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 ultravistaDetection ULTRAVISTAv20100429 SExtractor parameter real 4   -0.9999995e9  
SerMag2D vhsDetection 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 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 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 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 VIDEOv20100513 SExtractor parameter real 4   -0.9999995e9  
SerMag2D videoDetection VIDEOv20111208 SExtractor parameter real 4   -0.9999995e9  
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 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 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
SerScaleLen1D svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 ULTRAVISTAv20100429 SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} real 4   -0.9999995e9  
SerScaleLen1D vhsDetection 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 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 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 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 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 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 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 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
SerScaleLen2D svNgc253Detection SVNGC253v20100429 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 svOrionDetection SVORIONv20100429 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 ULTRAVISTAv20100429 SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} real 4   -0.9999995e9  
SerScaleLen2D vhsDetection 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 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 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 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 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 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 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 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
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
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      
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 SVNGC253v20100429 Short identification name for the filter varchar 10     ??
shortName Filter SVORIONv20100429 Short identification name for the filter varchar 10     ??
shortName Filter ULTRAVISTAv20100429 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 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 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 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 VMCDR1 Short identification name for the filter varchar 10     ??
shortName Filter VMCDR3 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 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 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 VHSDR3 Short identification name for the filter section varchar 10     ??
shortName FilterSections VHSv20150108 Short identification name for the filter section varchar 10     ??
shortName FilterSections VIDEODR4 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 VMCDR3 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 VSAQC Short identification name for the filter section varchar 10     ??
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 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 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 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 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 VVVv20110718 Error on coefficient a float 8 arcsec -0.9999995e9 ??
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 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 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 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 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 VVVv20110718 Error on coefficient d float 8 arcsec -0.9999995e9 ??
sigDec ultravistaSourceRemeasurement ULTRAVISTAv20100429 Uncertainty in Dec real 4 Degrees -0.9999995e9 stat.error
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 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 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 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 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 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 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    
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 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 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 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 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 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 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 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 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 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 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 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 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 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 ultravistaSourceRemeasurement ULTRAVISTAv20100429 Uncertainty in RA real 4 Degrees -0.9999995e9 stat.error
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 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 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 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 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 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 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    
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 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    
sky svNgc253Detection SVNGC253v20100429 local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} real 4 ADU   instr.skyLevel
sky svOrionDetection SVORIONv20100429 local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} real 4 ADU   instr.skyLevel
sky ultravistaDetection ULTRAVISTAv20100429 local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} real 4 ADU   instr.skyLevel
sky vhsDetection VHSDR1 local interpolated sky level from background tracker {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 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 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 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 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 VIKINGv20110714 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 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 VMCv20110816 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 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, vvvListRemeasurement VVVv20100531 local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} real 4 ADU   instr.skyLevel
sky vvvListRemeasurement VVVv20110718 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 SVNGC253v20100429 Sky estimation algorithm {image primary HDU keyword: SKYALGO} varchar 64   NONE  
skyAlgorithm Multiframe SVORIONv20100429 Sky estimation algorithm {image primary HDU keyword: SKYALGO} varchar 64   NONE  
skyAlgorithm Multiframe ULTRAVISTAv20100429 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 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 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 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 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 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 VSAQC 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 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 ultravistaMultiframe, vhsMultiframe, videoMultiframe, vikingMultiframe, vmcMultiframe, vvvMultiframe VSAQC Sky estimation algorithm varchar 64   NONE  
skyCorrCat MultiframeDetector SVNGC253v20100429 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 SVORIONv20100429 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 ULTRAVISTAv20100429 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 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 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 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 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 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 VSAQC 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 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 ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Percentage sky correction for the catalogue data real 4   -0.9999995e9 ??
skyCorrExt MultiframeDetector SVNGC253v20100429 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 SVORIONv20100429 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 ULTRAVISTAv20100429 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 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 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 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 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 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 VSAQC 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 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 ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Percentage sky correction of the detector real 4   -0.9999995e9 ??
skyID Multiframe SVNGC253v20100429 UID of library calibration sky sub frame {image extension keyword: SKYSUB} bigint 8   -99999999 obs.field
skyID Multiframe SVORIONv20100429 UID of library calibration sky sub frame {image extension keyword: SKYSUB} bigint 8   -99999999 obs.field
skyID Multiframe ULTRAVISTAv20100429 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 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 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 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 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 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 VSAQC 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 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 ultravistaMultiframe, vhsMultiframe, videoMultiframe, vikingMultiframe, vmcMultiframe, vvvMultiframe VSAQC UID of library calibration sky sub frame bigint 8   -99999999 obs.field
skyLevel MultiframeDetector SVNGC253v20100429 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 SVORIONv20100429 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 ULTRAVISTAv20100429 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 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 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 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 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 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 VSAQC 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 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 ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Median sky brightness real 4 counts/pixel -0.9999995e9 ??
skyNoise MultiframeDetector SVNGC253v20100429 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 SVORIONv20100429 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 ULTRAVISTAv20100429 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 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 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 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 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 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 VSAQC 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 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 ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Pixel noise at sky level real 4 counts -0.9999995e9 ??
skySubScale MultiframeDetector SVNGC253v20100429 Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} float 8   -0.9999995e9 ??
skySubScale MultiframeDetector SVORIONv20100429 Scale factor applied to sky subtraction image {image extension keyword: SKYSUB} float 8   -0.9999995e9 ??
skySubScale MultiframeDetector ULTRAVISTAv20100429 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 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 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 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 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 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 VSAQC 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 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 ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Scale factor applied to sky subtraction image float 8   -0.9999995e9 ??
skyVar svNgc253Detection SVNGC253v20100429 local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} real 4 ADU   instr.skyLevel
skyVar svOrionDetection SVORIONv20100429 local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} real 4 ADU   instr.skyLevel
skyVar ultravistaDetection ULTRAVISTAv20100429 local estimate of variation in sky level around image (SE: THRESHOLD) {catalogue TType keyword: Sky_rms} real 4 ADU   instr.skyLevel
skyVar vhsDetection VHSDR1 local estimate of variation in sky level around image {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 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 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 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 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 VIKINGv20110714 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 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 VMCv20110816 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 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, vvvListRemeasurement VVVv20100531 local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} real 4 ADU   instr.skyLevel
skyVar vvvListRemeasurement VVVv20110718 local estimate of variation in sky level around image {catalogue TType keyword: Sky_rms} real 4 ADU   instr.skyLevel
slaveObjID svNgc253SourceNeighbours SVNGC253v20100429 The unique ID of the neighbour in svNgc253Source (=sourceID) bigint 8     meta.id;meta.dataset
slaveObjID svNgc253SourceXtwomass_psc SVNGC253v20100429 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.id;meta.dataset
slaveObjID svOrionSourceNeighbours SVORIONv20100429 The unique ID of the neighbour in svOrionSource (=sourceID) bigint 8     meta.id;meta.dataset
slaveObjID svOrionSourceXtwomass_psc SVORIONv20100429 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.id;meta.dataset
slaveObjID ultravistaSourceNeighbours ULTRAVISTAv20100429 The unique ID of the neighbour in ultravistaSource (=sourceID) bigint 8     meta.id;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 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 vhsSourceXAtlasDR1Source VHSDR2 The unique ID of the neighbour in ATLASDR1..atlasSource (=sourceID) 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 vhsSourceXallwise_sc VHSv20150108 The unique ID of the neighbour in WISE..allwise_sc (=cntr) 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 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 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 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 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 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 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 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_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 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 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 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_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 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_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 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 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 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 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 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_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 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 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 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 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 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 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 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_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 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 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 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 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 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 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 vikingSourceXallwise_sc VIKINGv20150421 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_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_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 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 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_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 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_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 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 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 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 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 vmcSourceXSSASource VMCDR1 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXSSASource VMCDR2 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.dataset
slaveObjID vmcSourceXSSASource VMCDR3 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.dataset
slaveObjID vmcSourceXSSASource VMCv20110816 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXSSASource VMCv20110909 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXSSASource VMCv20120126 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXSSASource VMCv20121128 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.dataset
slaveObjID vmcSourceXSSASource VMCv20130304 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.dataset
slaveObjID vmcSourceXSSASource VMCv20130805 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.dataset
slaveObjID vmcSourceXSSASource VMCv20140428 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.dataset
slaveObjID vmcSourceXSSASource VMCv20140903 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.dataset
slaveObjID vmcSourceXSSASource VMCv20150309 The unique ID of the neighbour in SSA..Source (=objID) 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 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 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 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 vmcSourceXakari_lmc_psa_v1 VMCDR3 The unique ID of the neighbour in AKARI..akari_lmc_psa_v1 (=SEQNUM) bigint 8     meta.dataset
slaveObjID vmcSourceXakari_lmc_psa_v1 VMCv20130805 The unique ID of the neighbour in AKARI..akari_lmc_psa_v1 (=SEQNUM) bigint 8     meta.dataset
slaveObjID vmcSourceXakari_lmc_psa_v1 VMCv20140903 The unique ID of the neighbour in AKARI..akari_lmc_psa_v1 (=SEQNUM) bigint 8     meta.dataset
slaveObjID vmcSourceXakari_lmc_psa_v1 VMCv20150309 The unique ID of the neighbour in AKARI..akari_lmc_psa_v1 (=SEQNUM) bigint 8     meta.dataset
slaveObjID vmcSourceXakari_lmc_psc_v1 VMCDR3 The unique ID of the neighbour in AKARI..akari_lmc_psc_v1 (=SEQNUM) bigint 8     meta.dataset
slaveObjID vmcSourceXakari_lmc_psc_v1 VMCv20130805 The unique ID of the neighbour in AKARI..akari_lmc_psc_v1 (=SEQNUM) bigint 8     meta.dataset
slaveObjID vmcSourceXakari_lmc_psc_v1 VMCv20140903 The unique ID of the neighbour in AKARI..akari_lmc_psc_v1 (=SEQNUM) bigint 8     meta.dataset
slaveObjID vmcSourceXakari_lmc_psc_v1 VMCv20150309 The unique ID of the neighbour in AKARI..akari_lmc_psc_v1 (=SEQNUM) bigint 8     meta.dataset
slaveObjID vmcSourceXallwise_sc VMCv20140903 The unique ID of the neighbour in WISE..allwise_sc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXallwise_sc VMCv20150309 The unique ID of the neighbour in WISE..allwise_sc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXdenisDR3Source VMCDR1 The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXdenisDR3Source VMCDR2 The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXdenisDR3Source VMCDR3 The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXdenisDR3Source VMCv20110816 The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXdenisDR3Source VMCv20110909 The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXdenisDR3Source VMCv20120126 The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXdenisDR3Source VMCv20121128 The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXdenisDR3Source VMCv20130304 The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXdenisDR3Source VMCv20130805 The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXdenisDR3Source VMCv20140428 The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXdenisDR3Source VMCv20140903 The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXdenisDR3Source VMCv20150309 The unique ID of the neighbour in DENIS..denisDR3Source (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2LMCSource VMCDR2 The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2LMCSource VMCDR3 The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2LMCSource VMCv20120126 The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXeros2LMCSource VMCv20121128 The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2LMCSource VMCv20130304 The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2LMCSource VMCv20130805 The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2LMCSource VMCv20140428 The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2LMCSource VMCv20140903 The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2LMCSource VMCv20150309 The unique ID of the neighbour in EROS..eros2LMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2SMCSource VMCDR2 The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2SMCSource VMCDR3 The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2SMCSource VMCv20120126 The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXeros2SMCSource VMCv20121128 The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2SMCSource VMCv20130304 The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2SMCSource VMCv20130805 The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2SMCSource VMCv20140428 The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2SMCSource VMCv20140903 The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXeros2SMCSource VMCv20150309 The unique ID of the neighbour in EROS..eros2SMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosLMCSource VMCDR1 The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXerosLMCSource VMCDR2 The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosLMCSource VMCDR3 The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosLMCSource VMCv20110816 The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXerosLMCSource VMCv20110909 The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXerosLMCSource VMCv20120126 The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXerosLMCSource VMCv20121128 The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosLMCSource VMCv20130304 The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosLMCSource VMCv20130805 The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosLMCSource VMCv20140428 The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosLMCSource VMCv20140903 The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosLMCSource VMCv20150309 The unique ID of the neighbour in EROS..erosLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosSMCSource VMCDR1 The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXerosSMCSource VMCDR2 The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosSMCSource VMCDR3 The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosSMCSource VMCv20110816 The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXerosSMCSource VMCv20110909 The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXerosSMCSource VMCv20120126 The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXerosSMCSource VMCv20121128 The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosSMCSource VMCv20130304 The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosSMCSource VMCv20130805 The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosSMCSource VMCv20140428 The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosSMCSource VMCv20140903 The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXerosSMCSource VMCv20150309 The unique ID of the neighbour in EROS..erosSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoLMCSource VMCDR1 The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmachoLMCSource VMCDR2 The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoLMCSource VMCDR3 The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoLMCSource VMCv20110816 The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmachoLMCSource VMCv20110909 The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmachoLMCSource VMCv20120126 The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmachoLMCSource VMCv20121128 The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoLMCSource VMCv20130304 The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoLMCSource VMCv20130805 The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoLMCSource VMCv20140428 The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoLMCSource VMCv20140903 The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoLMCSource VMCv20150309 The unique ID of the neighbour in MACHO..machoLMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoSMCSource VMCDR1 The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmachoSMCSource VMCDR2 The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoSMCSource VMCDR3 The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoSMCSource VMCv20110816 The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmachoSMCSource VMCv20110909 The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmachoSMCSource VMCv20120126 The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmachoSMCSource VMCv20121128 The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoSMCSource VMCv20130304 The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoSMCSource VMCv20130805 The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoSMCSource VMCv20140428 The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoSMCSource VMCv20140903 The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmachoSMCSource VMCv20150309 The unique ID of the neighbour in MACHO..machoSMCSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_lmcSource VMCDR1 The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmcps_lmcSource VMCDR2 The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_lmcSource VMCDR3 The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_lmcSource VMCv20110816 The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmcps_lmcSource VMCv20110909 The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmcps_lmcSource VMCv20120126 The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmcps_lmcSource VMCv20121128 The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_lmcSource VMCv20130304 The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_lmcSource VMCv20130805 The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_lmcSource VMCv20140428 The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_lmcSource VMCv20140903 The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_lmcSource VMCv20150309 The unique ID of the neighbour in MCPS..mcps_lmcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_smcSource VMCDR1 The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmcps_smcSource VMCDR2 The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_smcSource VMCDR3 The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_smcSource VMCv20110816 The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmcps_smcSource VMCv20110909 The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmcps_smcSource VMCv20120126 The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXmcps_smcSource VMCv20121128 The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_smcSource VMCv20130304 The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_smcSource VMCv20130805 The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_smcSource VMCv20140428 The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_smcSource VMCv20140903 The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXmcps_smcSource VMCv20150309 The unique ID of the neighbour in MCPS..mcps_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcIracSource VMCDR1 The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcIracSource VMCDR2 The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcIracSource VMCDR3 The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcIracSource VMCv20110816 The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcIracSource VMCv20110909 The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcIracSource VMCv20120126 The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcIracSource VMCv20121128 The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcIracSource VMCv20130304 The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcIracSource VMCv20130805 The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcIracSource VMCv20140428 The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcIracSource VMCv20140903 The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcIracSource VMCv20150309 The unique ID of the neighbour in SPITZER..sage_lmcIracSource (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips160Source VMCDR1 The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcMips160Source VMCDR2 The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips160Source VMCDR3 The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips160Source VMCv20110816 The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcMips160Source VMCv20110909 The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcMips160Source VMCv20120126 The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcMips160Source VMCv20121128 The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips160Source VMCv20130304 The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips160Source VMCv20130805 The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips160Source VMCv20140428 The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips160Source VMCv20140903 The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips160Source VMCv20150309 The unique ID of the neighbour in SPITZER..sage_lmcMips160Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips24Source VMCDR1 The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcMips24Source VMCDR2 The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips24Source VMCDR3 The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips24Source VMCv20110816 The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcMips24Source VMCv20110909 The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcMips24Source VMCv20120126 The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcMips24Source VMCv20121128 The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips24Source VMCv20130304 The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips24Source VMCv20130805 The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips24Source VMCv20140428 The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips24Source VMCv20140903 The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips24Source VMCv20150309 The unique ID of the neighbour in SPITZER..sage_lmcMips24Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips70Source VMCDR1 The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcMips70Source VMCDR2 The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips70Source VMCDR3 The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips70Source VMCv20110816 The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcMips70Source VMCv20110909 The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcMips70Source VMCv20120126 The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXsage_lmcMips70Source VMCv20121128 The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips70Source VMCv20130304 The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips70Source VMCv20130805 The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips70Source VMCv20140428 The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips70Source VMCv20140903 The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXsage_lmcMips70Source VMCv20150309 The unique ID of the neighbour in SPITZER..sage_lmcMips70Source (=globalSourceID) bigint 8     meta.dataset
slaveObjID vmcSourceXspitzer_smcSource VMCDR1 The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXspitzer_smcSource VMCDR2 The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXspitzer_smcSource VMCDR3 The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXspitzer_smcSource VMCv20110816 The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXspitzer_smcSource VMCv20110909 The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXspitzer_smcSource VMCv20120126 The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXspitzer_smcSource VMCv20121128 The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXspitzer_smcSource VMCv20130304 The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXspitzer_smcSource VMCv20130805 The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXspitzer_smcSource VMCv20140428 The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXspitzer_smcSource VMCv20140903 The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXspitzer_smcSource VMCv20150309 The unique ID of the neighbour in SPITZER..spitzer_smcSource (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_psc VMCDR1 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_psc VMCDR2 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_psc VMCDR3 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_psc VMCv20110816 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_psc VMCv20110909 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_psc VMCv20120126 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_psc VMCv20121128 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_psc VMCv20130304 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_psc VMCv20130805 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_psc VMCv20140428 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_psc VMCv20140903 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_psc VMCv20150309 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_psc VMCDR1 The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_psc VMCDR2 The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_psc VMCDR3 The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_psc VMCv20110816 The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_psc VMCv20110909 The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_psc VMCv20120126 The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_psc VMCv20121128 The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_psc VMCv20130304 The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_psc VMCv20130805 The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_psc VMCv20140428 The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_psc VMCv20140903 The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_psc VMCv20150309 The unique ID of the neighbour in TWOMASS..twomass_sixx2_psc (=seqNum) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_xsc VMCDR1 The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_xsc VMCDR2 The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_xsc VMCDR3 The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_xsc VMCv20110816 The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_xsc VMCv20110909 The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_xsc VMCv20120126 The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_xsc VMCv20121128 The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_xsc VMCv20130304 The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_xsc VMCv20130805 The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_xsc VMCv20140428 The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_xsc VMCv20140903 The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_sixx2_xsc VMCv20150309 The unique ID of the neighbour in TWOMASS..twomass_sixx2_xsc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_xsc VMCDR1 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_xsc VMCDR2 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_xsc VMCDR3 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_xsc VMCv20110816 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_xsc VMCv20110909 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_xsc VMCv20120126 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.id;meta.dataset
slaveObjID vmcSourceXtwomass_xsc VMCv20121128 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_xsc VMCv20130304 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_xsc VMCv20130805 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_xsc VMCv20140428 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_xsc VMCv20140903 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.dataset
slaveObjID vmcSourceXtwomass_xsc VMCv20150309 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.dataset
slaveObjID vmcSourceXwise_allskysc VMCDR2 The unique ID of the neighbour in WISE..wise_allskysc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXwise_allskysc VMCDR3 The unique ID of the neighbour in WISE..wise_allskysc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXwise_allskysc VMCv20121128 The unique ID of the neighbour in WISE..wise_allskysc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXwise_allskysc VMCv20130304 The unique ID of the neighbour in WISE..wise_allskysc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXwise_allskysc VMCv20130805 The unique ID of the neighbour in WISE..wise_allskysc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXwise_allskysc VMCv20140428 The unique ID of the neighbour in WISE..wise_allskysc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXwise_allskysc VMCv20140903 The unique ID of the neighbour in WISE..wise_allskysc (=cntr) bigint 8     meta.dataset
slaveObjID vmcSourceXwise_allskysc VMCv20150309 The unique ID of the neighbour in WISE..wise_allskysc (=cntr) 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 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 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 VVVv20100531 The unique ID of the neighbour in vvvDetection table (=objID) bigint 8     meta.id;meta.dataset
slaveObjID vvvSourceXSSASource VVVDR1 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.dataset
slaveObjID vvvSourceXSSASource VVVDR2 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.dataset
slaveObjID vvvSourceXSSASource VVVv20100531 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.id;meta.dataset
slaveObjID vvvSourceXSSASource VVVv20110718 The unique ID of the neighbour in SSA..Source (=objID) bigint 8     meta.id;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 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 vvvSourceXiras_psc VVVDR1 The unique ID of the neighbour in IRAS..iras_psc (=seqNo) bigint 8     meta.dataset
slaveObjID vvvSourceXiras_psc VVVDR2 The unique ID of the neighbour in IRAS..iras_psc (=seqNo) bigint 8     meta.dataset
slaveObjID vvvSourceXiras_psc VVVv20100531 The unique ID of the neighbour in IRAS..iras_psc (=seqNo) bigint 8     meta.id;meta.dataset
slaveObjID vvvSourceXiras_psc VVVv20110718 The unique ID of the neighbour in IRAS..iras_psc (=seqNo) bigint 8     meta.id;meta.dataset
slaveObjID vvvSourceXtwomass_psc VVVDR1 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.dataset
slaveObjID vvvSourceXtwomass_psc VVVDR2 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.dataset
slaveObjID vvvSourceXtwomass_psc VVVv20100531 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) bigint 8     meta.id;meta.dataset
slaveObjID vvvSourceXtwomass_psc VVVv20110718 The unique ID of the neighbour in TWOMASS..twomass_psc (=pts_key) 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
slaveObjID vvvSourceXtwomass_xsc VVVDR1 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.dataset
slaveObjID vvvSourceXtwomass_xsc VVVDR2 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.dataset
slaveObjID vvvSourceXtwomass_xsc VVVv20110718 The unique ID of the neighbour in TWOMASS..twomass_xsc (=ext_key) bigint 8     meta.id;meta.dataset
slaveObjID vvvSourceXwise_allskysc VVVDR2 The unique ID of the neighbour in WISE..wise_allskysc (=cntr) bigint 8     meta.dataset
sLevNum Multiframe SVNGC253v20100429 Level 0 sky {image primary HDU keyword: SLEV} tinyint 1   0  
sLevNum Multiframe SVORIONv20100429 Level 0 sky {image primary HDU keyword: SLEV} tinyint 1   0  
sLevNum Multiframe ULTRAVISTAv20100429 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 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 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 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 <