S 
Name  Schema Table  Database  Description  Type  Length  Unit  Default Value  Unified Content Descriptor 
S14 
nvssSource 
NVSS 
Integrated 1.4GHz flux density of radio source 
real 
4 
mJy 

phot.flux.density;em.radio.7501500MHz 
S145Mag 
combo17CDFSSource 
COMBO17 
Absolute restframe magnitude in 145/10 (synthetic narrow rectangular passband at 140150 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 COMBO17 filter set can be necessary, only calculated for objects classified as galaxies; synthetic UV continuum rectangular passband at 260300 nm) 
real 
4 
mag 


s_hp 
hipparcos_new_reduction 
GAIADR1 
Scatter in Hipparcos magnitudes 
float 
8 
mag 

stat.error;phot.mag;em.opt 
sadtAreaID 
MultiframeEsoKeys 
VHSDR1 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VHSDR2 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VHSDR3 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VHSDR4 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VHSv20120926 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VHSv20130417 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VHSv20140409 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VHSv20150108 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VHSv20160114 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VHSv20160507 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VHSv20170630 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VHSv20171207 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VHSv20180419 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIDEODR2 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIDEODR3 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIDEODR4 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIDEODR5 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIDEOv20111208 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGDR2 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGDR3 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGDR4 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGv20110714 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGv20111019 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGv20130417 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGv20140402 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGv20150421 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGv20151230 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGv20160406 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGv20161202 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGv20170715 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VIKINGv20181012 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCDR1 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCDR2 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCDR3 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCDR4 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20110816 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20110909 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20120126 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20121128 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20130304 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20130805 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20140428 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20140903 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20150309 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20151218 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20160311 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20160822 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20170109 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20170411 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20171101 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20180702 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VMCv20181120 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VSAQC 
SADT Survey area ID {image primary HDU keyword: HIERARCH ESO OCS SADT AREA ID} 
int 
4 

99999999 

sadtAreaID 
MultiframeEsoKeys 
VVVDR4 
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 
VHSDR4 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VHSv20120926 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VHSv20130417 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VHSv20140409 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VHSv20150108 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VHSv20160114 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VHSv20160507 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VHSv20170630 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VHSv20171207 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VHSv20180419 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIDEODR2 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIDEODR3 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIDEODR4 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIDEODR5 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIDEOv20111208 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGDR2 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGDR3 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGDR4 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGv20110714 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGv20111019 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGv20130417 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGv20140402 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGv20150421 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGv20151230 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGv20160406 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGv20161202 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGv20170715 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VIKINGv20181012 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCDR1 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCDR2 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCDR3 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCDR4 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20110816 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20110909 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20120126 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20121128 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20130304 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20130805 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20140428 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20140903 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20150309 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20151218 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20160311 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20160822 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20170109 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20170411 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20171101 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20180702 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VMCv20181120 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VSAQC 
SADT maximum jitter size {image primary HDU keyword: HIERARCH ESO OCS SADT MAXJIT} 
real 
4 
arcsec 
0.9999995e9 

sadtMaxJit 
MultiframeEsoKeys 
VVVDR4 
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 
VHSDR4 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VHSv20120926 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VHSv20130417 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VHSv20140409 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VHSv20150108 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VHSv20160114 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VHSv20160507 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VHSv20170630 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VHSv20171207 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VHSv20180419 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIDEODR2 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIDEODR3 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIDEODR4 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIDEODR5 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIDEOv20111208 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGDR2 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGDR3 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGDR4 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGv20110714 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGv20111019 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGv20130417 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGv20140402 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGv20150421 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGv20151230 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGv20160406 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGv20161202 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGv20170715 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VIKINGv20181012 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCDR1 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCDR2 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCDR3 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCDR4 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20110816 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20110909 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20120126 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20121128 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20130304 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20130805 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20140428 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20140903 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20150309 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20151218 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20160311 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20160822 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20170109 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20170411 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20171101 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20180702 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VMCv20181120 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VSAQC 
SADT tile overlap in X {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPX} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapX 
MultiframeEsoKeys 
VVVDR4 
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 
VHSDR4 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VHSv20120926 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VHSv20130417 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VHSv20140409 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VHSv20150108 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VHSv20160114 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VHSv20160507 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VHSv20170630 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VHSv20171207 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VHSv20180419 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIDEODR2 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIDEODR3 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIDEODR4 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIDEODR5 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIDEOv20111208 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGDR2 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGDR3 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGDR4 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGv20110714 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGv20111019 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGv20130417 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGv20140402 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGv20150421 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGv20151230 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGv20160406 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGv20161202 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGv20170715 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VIKINGv20181012 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCDR1 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCDR2 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCDR3 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCDR4 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20110816 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20110909 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20120126 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20121128 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20130304 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20130805 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20140428 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20140903 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20150309 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20151218 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20160311 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20160822 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20170109 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20170411 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20171101 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20180702 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VMCv20181120 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VSAQC 
SADT tile overlap in Y {image primary HDU keyword: HIERARCH ESO OCS SADT OVERLAPY} 
real 
4 
arcsec 
0.9999995e9 

sadtOverlapY 
MultiframeEsoKeys 
VVVDR4 
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 
VHSDR4 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VHSv20120926 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VHSv20130417 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VHSv20140409 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VHSv20150108 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VHSv20160114 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VHSv20160507 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VHSv20170630 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VHSv20171207 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VHSv20180419 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIDEODR2 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIDEODR3 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIDEODR4 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIDEODR5 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIDEOv20111208 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGDR2 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGDR3 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGDR4 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGv20110714 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGv20111019 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGv20130417 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGv20140402 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGv20150421 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGv20151230 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGv20160406 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGv20161202 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGv20170715 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VIKINGv20181012 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCDR1 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCDR2 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCDR3 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCDR4 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20110816 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20110909 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20120126 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20121128 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20130304 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20130805 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20140428 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20140903 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20150309 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20151218 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20160311 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20160822 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20170109 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20170411 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20171101 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20180702 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VMCv20181120 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VSAQC 
SADT pattern ID {image primary HDU keyword: HIERARCH ESO OCS SADT PATTERN} 
varchar 
64 

NONE 

sadtPattern 
MultiframeEsoKeys 
VVVDR4 
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 
VHSDR4 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VHSv20120926 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VHSv20130417 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VHSv20140409 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VHSv20150108 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VHSv20160114 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VHSv20160507 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VHSv20170630 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VHSv20171207 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VHSv20180419 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIDEODR2 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIDEODR3 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIDEODR4 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIDEODR5 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIDEOv20111208 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGDR2 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGDR3 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGDR4 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGv20110714 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGv20111019 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGv20130417 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGv20140402 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGv20150421 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGv20151230 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGv20160406 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGv20161202 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGv20170715 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VIKINGv20181012 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCDR1 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCDR2 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCDR3 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCDR4 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20110816 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20110909 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20120126 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20121128 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20130304 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20130805 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20140428 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20140903 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20150309 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20151218 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20160311 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20160822 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20170109 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20170411 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20171101 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20180702 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VMCv20181120 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VSAQC 
SADT survey ID {image primary HDU keyword: HIERARCH ESO OCS SADT ID} 
varchar 
64 

NONE 

sadtSurveyID 
MultiframeEsoKeys 
VVVDR4 
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 
VHSDR4 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VHSv20120926 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VHSv20130417 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VHSv20140409 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VHSv20150108 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VHSv20160114 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VHSv20160507 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VHSv20170630 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VHSv20171207 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VHSv20180419 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIDEODR2 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIDEODR3 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIDEODR4 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIDEODR5 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIDEOv20111208 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGDR2 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGDR3 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGDR4 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGv20110714 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGv20111019 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGv20130417 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGv20140402 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGv20150421 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGv20151230 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGv20160406 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGv20161202 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGv20170715 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VIKINGv20181012 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCDR1 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCDR2 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCDR3 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCDR4 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20110816 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20110909 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20120126 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20121128 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20130304 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20130805 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20140428 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20140903 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20150309 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20151218 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20160311 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20160822 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20170109 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20170411 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20171101 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20180702 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VMCv20181120 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VSAQC 
SADT tile declination {image primary HDU keyword: HIERARCH ESO OCS SADT TILE DEC} 
real 
4 
DDMMSS.TTT 
0.9999995e9 

sadtTileDec 
MultiframeEsoKeys 
VVVDR4 
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 
VHSDR4 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VHSv20120926 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VHSv20130417 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VHSv20140409 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VHSv20150108 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VHSv20160114 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VHSv20160507 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VHSv20170630 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VHSv20171207 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VHSv20180419 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIDEODR2 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIDEODR3 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIDEODR4 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIDEODR5 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIDEOv20111208 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGDR2 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGDR3 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGDR4 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGv20110714 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGv20111019 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGv20130417 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGv20140402 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGv20150421 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGv20151230 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGv20160406 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGv20161202 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGv20170715 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VIKINGv20181012 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCDR1 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCDR2 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCDR3 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCDR4 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20110816 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20110909 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20120126 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20121128 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20130304 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20130805 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20140428 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20140903 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20150309 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20151218 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20160311 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20160822 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20170109 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20170411 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20171101 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20180702 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VMCv20181120 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VSAQC 
SADT tile ID within survey area {image primary HDU keyword: HIERARCH ESO OCS SADT TILE ID} 
varchar 
64 

NONE 

sadtTileID 
MultiframeEsoKeys 
VVVDR4 
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 
VHSDR4 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VHSv20120926 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VHSv20130417 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VHSv20140409 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VHSv20150108 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VHSv20160114 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VHSv20160507 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VHSv20170630 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VHSv20171207 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VHSv20180419 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIDEODR2 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIDEODR3 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIDEODR4 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIDEODR5 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIDEOv20111208 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGDR2 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGDR3 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGDR4 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGv20110714 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGv20111019 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGv20130417 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGv20140402 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGv20150421 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGv20151230 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGv20160406 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGv20161202 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGv20170715 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VIKINGv20181012 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCDR1 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCDR2 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCDR3 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCDR4 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20110816 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20110909 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20120126 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20121128 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20130304 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20130805 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20140428 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20140903 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20150309 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20151218 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20160311 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20160822 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20170109 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20170411 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20171101 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20180702 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VMCv20181120 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VSAQC 
SADT tile rotator offset angle {image primary HDU keyword: HIERARCH ESO OCS SADT TILE OFFANGLE} 
real 
4 
deg 
0.9999995e9 

sadtTileOffAngle 
MultiframeEsoKeys 
VVVDR4 
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 
VHSDR4 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VHSv20120926 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VHSv20130417 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VHSv20140409 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VHSv20150108 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VHSv20160114 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VHSv20160507 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VHSv20170630 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VHSv20171207 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VHSv20180419 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIDEODR2 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIDEODR3 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIDEODR4 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIDEODR5 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIDEOv20111208 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGDR2 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGDR3 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGDR4 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGv20110714 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGv20111019 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGv20130417 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGv20140402 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGv20150421 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGv20151230 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGv20160406 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGv20161202 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGv20170715 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VIKINGv20181012 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCDR1 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCDR2 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCDR3 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCDR4 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20110816 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20110909 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20120126 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20121128 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20130304 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20130805 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20140428 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20140903 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20150309 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20151218 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20160311 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20160822 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20170109 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20170411 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20171101 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20180702 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VMCv20181120 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VSAQC 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

sadtTileRa 
MultiframeEsoKeys 
VVVDR4 
SADT tile RA {image primary HDU keyword: HIERARCH ESO OCS SADT TILE RA} 
real 
4 
HHMMSS.TTT 
0.9999995e9 

satnum 
allwise_sc2 
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 profilefitting area in all of the singleexposure images used to characterize this source was flagged as having reached the saturation level in the onboard WISE payload processing. If no pixels in a given band are flagged as saturated, the value for that band is "0". 
varchar 
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 
VHSDR4 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vhsDetection 
VHSv20120926 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vhsDetection 
VHSv20130417 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vhsDetection 
VHSv20140409 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vhsDetection 
VHSv20150108 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vhsDetection 
VHSv20160114 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vhsDetection 
VHSv20160507 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vhsDetection 
VHSv20170630 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vhsDetection 
VHSv20171207 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vhsDetection 
VHSv20180419 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
videoDetection 
VIDEODR2 
saturation correction 
real 
4 

0.0 

saturatCorr 
videoDetection 
VIDEODR3 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
videoDetection 
VIDEODR4 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
videoDetection 
VIDEODR5 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
videoDetection 
VIDEOv20111208 
saturation correction 
real 
4 

0.0 

saturatCorr 
vikingDetection 
VIKINGDR2 
saturation correction 
real 
4 

0.0 

saturatCorr 
vikingDetection 
VIKINGDR3 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vikingDetection 
VIKINGDR4 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vikingDetection 
VIKINGv20110714 
saturation correction 
real 
4 

0.0 

saturatCorr 
vikingDetection 
VIKINGv20111019 
saturation correction 
real 
4 

0.0 

saturatCorr 
vikingDetection 
VIKINGv20130417 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vikingDetection 
VIKINGv20140402 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vikingDetection 
VIKINGv20150421 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vikingDetection 
VIKINGv20151230 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vikingDetection 
VIKINGv20160406 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vikingDetection 
VIKINGv20161202 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vikingDetection 
VIKINGv20170715 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vikingDetection 
VIKINGv20181012 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vikingMapRemeasurement 
VIKINGZYSELJv20160909 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vikingMapRemeasurement 
VIKINGZYSELJv20170124 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCDR1 
saturation correction 
real 
4 

0.0 

saturatCorr 
vmcDetection 
VMCDR2 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCDR3 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCDR4 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20110816 
saturation correction 
real 
4 

0.0 

saturatCorr 
vmcDetection 
VMCv20110909 
saturation correction 
real 
4 

0.0 

saturatCorr 
vmcDetection 
VMCv20120126 
saturation correction 
real 
4 

0.0 

saturatCorr 
vmcDetection 
VMCv20121128 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20130304 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20130805 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20140428 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20140903 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20150309 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20151218 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20160311 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20160822 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20170109 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20170411 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20171101 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20180702 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vmcDetection 
VMCv20181120 
saturation correction 
real 
4 

0.0 
stat.param 
saturatCorr 
vvvDetection 
VVVDR4 
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 2XMMiDR3 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 2XMMiDR3 catalogue. 
int 
4 



SC_EP_1_FLUX 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The mean band 1 flux (0.2  0.5 keV) of all the detections of the source SRCID (see EP_1_FLUX) weighted by the errors (EP_1_FLUX_ERR), in erg/cm2/s. 
real 
4 
erg/cm**2/s 


SC_EP_1_FLUX_ERR 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
Error on the weighted mean band 1 flux in SC_EP_1_FLUX. 
real 
4 
erg/cm**2/s 


SC_EP_2_FLUX 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The mean band 2 flux (0.5  1.0 keV) of all the detections of the source SRCID (see EP_2_FLUX) weighted by the errors (EP_2_FLUX_ERR), in erg/cm2/s. 
real 
4 
erg/cm**2/s 


SC_EP_2_FLUX_ERR 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
Error on the weighted mean band 2 flux in SC_EP_2_FLUX. 
real 
4 
erg/cm**2/s 


SC_EP_3_FLUX 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The mean band 3 flux (1.0  2.0 keV) of all the detections of the source SRCID (see EP_3_FLUX) weighted by the errors (EP_3_FLUX_ERR), in erg/cm2/s. 
real 
4 
erg/cm**2/s 


SC_EP_3_FLUX_ERR 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
Error on the weighted mean band 3 flux in SC_EP_3_FLUX. 
real 
4 
erg/cm**2/s 


SC_EP_4_FLUX 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The mean band 4 flux (2.0  4.5 keV) of all the detections of the source SRCID (see EP_4_FLUX) weighted by the errors (EP_4_FLUX_ERR), in erg/cm2/s. 
real 
4 
erg/cm**2/s 


SC_EP_4_FLUX_ERR 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
Error on the weighted mean band 4 flux in SC_EP_4_FLUX. 
real 
4 
erg/cm**2/s 


SC_EP_5_FLUX 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The mean band 5 flux (4.5  12 keV) of all the detections of the source SRCID (see EP_5_FLUX) weighted by the errors (EP_5_FLUX_ERR), in erg/cm2/s. 
real 
4 
erg/cm**2/s 


SC_EP_5_FLUX_ERR 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
Error on the weighted mean band 5 flux in SC_EP_5_FLUX. 
real 
4 
erg/cm**2/s 


SC_EP_8_FLUX 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The mean total band flux (0.2  12 keV) of all the detections of the source SRCID (see EP_8_FLUX) weighted by the errors (EP_8_FLUX_ERR), in erg/cm2/s. 
real 
4 
erg/cm**2/s 


SC_EP_8_FLUX_ERR 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
Error on the weighted mean total band flux in SC_EP_8_FLUX. 
real 
4 
erg/cm**2/s 


SC_EP_8_FMAX 
xmm3dr4 
XMM 
The maximum EPIC band 8 flux (EP_8_FLUX) amongst any of the constituent detections of the unique source. 
real 
4 
erg/cm**2/s 


SC_EP_8_FMAX_ERR 
xmm3dr4 
XMM 
The error on the maximum EPIC band 8 flux (EP_8_FLUX_ERR) amongst any of the constituent detections of the unique source. 
real 
4 
erg/cm**2/s 


SC_EP_8_FMIN 
xmm3dr4 
XMM 
The minimum EPIC band 8 flux (EP_8_FLUX) amongst any of the constituent detections of the unique source. 
real 
4 
erg/cm**2/s 


SC_EP_8_FMIN_ERR 
xmm3dr4 
XMM 
The error on the minimum EPIC band 8 flux (EP_8_FLUX_ERR) amongst any of the constituent detections of the unique source. 
real 
4 
erg/cm**2/s 


SC_EP_9_FLUX 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The mean band 9 flux (0.5  4.5 keV) of all the detections of the source SRCID (see EP_9_FLUX) weighted by the errors (EP_9_FLUX_ERR), in erg/cm2/s. 
real 
4 
erg/cm**2/s 


SC_EP_9_FLUX_ERR 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
Error on the weighted mean band 9 flux in SC_EP_9_FLUX. 
real 
4 
erg/cm**2/s 


SC_EXT_ML 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The total band detection likelihood of the extended source SRCID is the average of the extent likelihoods of all detections of this source (EP_EXTENT_ML). 
real 
4 



SC_EXTENT 
twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The total band extent of the source SRCID is the weighted average of the EPIC extents of all detections of this source (EP_EXTENT). 
real 
4 
arcsec 


SC_FVAR 
xmm3dr4 
XMM 
The fractional excess variance of the unique source. It is the value corresponding to the exposure and instrument that shows the lowest probability of being constant (i.e. it is the PN_FVAR, M1_FVAR or M2_FVAR value corresponding to EP_CHI2PROB, SC_CHI2PROB). 
float 
8 



SC_FVARERR 
xmm3dr4 
XMM 
The error on the fractional excess variance of the unique source. 
float 
8 



SC_HR1 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The mean hardness ratio of the bands 1 and 2 of all the detections of the source SRCID (EP_HR1) weighted by the errors(EP_HR1_ERR). 
real 
4 



SC_HR1_ERR 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
Error on the weighted mean hardness ratio in SC_HR1. 
real 
4 



SC_HR2 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The mean hardness ratio of the bands 2 and 3 of all the detections of the source SRCID (EP_HR2) weighted by the errors(EP_HR2_ERR). 
real 
4 



SC_HR2_ERR 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
Error on the weighted mean hardness ratio in SC_HR2. 
real 
4 



SC_HR3 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The mean hardness ratio of the bands 3 and 4 of all the detections of the source SRCID (EP_HR3) weighted by the errors(EP_HR3_ERR). 
real 
4 



SC_HR3_ERR 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
Error on the weighted mean hardness ratio in SC_HR3. 
real 
4 



SC_HR4 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The mean hardness ratio of the bands 4 and 5 of all the detections of the source SRCID (EP_HR4) weighted by the errors(EP_HR4_ERR). 
real 
4 



SC_HR4_ERR 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
Error on the weighted mean hardness ratio in SC_HR4. 
real 
4 



SC_POSERR 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The error of the weighted mean position given in SC_RA and SC_DEC in arcseconds. 
real 
4 
arcsec 


SC_RA 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 
XMM 
The mean Right Ascension in degrees (J2000) of all the detections of the source SRCID (see RA) weighted by the positional errors POSERR. 
float 
8 
degrees 


SC_SUM_FLAG 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0 
XMM 
The summary flag for the unique source SRCID is taken to be the worst flag of all detections of this source (SUM_FLAG). 
int 
4 



SC_SUM_FLAG 
xmm3dr4 
XMM 
The summary flag for the unique source SRCID is taken to be the worst flag of all detections of this source (SUM_FLAG). 
smallint 
2 



SC_VAR_FLAG 
twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0 
XMM 
The variability flag for the unique source SRCID is set to VAR_FLAG of the most variable detection of this source. 
varchar 
5 



SC_VAR_FLAG 
xmm3dr4 
XMM 
The variability flag for the unique source SRCID is set to VAR_FLAG of the most variable detection of this source (0=False, 1=True). 
bit 
1 



scan 
twomass_psc 
TWOMASS 
The nightly scan number in which the source was detected. 
smallint 
2 


meta.number 
scan 
twomass_scn 
TWOMASS 
Scan number (unique within date). 
smallint 
2 


meta.number 
scan 
twomass_sixx2_scn 
TWOMASS 
scan number (unique within date) 
smallint 
2 



scan 
twomass_xsc 
TWOMASS 
scan number (unique within date). 
smallint 
2 


meta.number 
scan_direction_mean_k1 
gaia_source, tgas_source 
GAIADR1 
Mean position angle of scan directions across the source 
real 
4 
degrees 


scan_direction_mean_k2 
gaia_source, tgas_source 
GAIADR1 
Mean position angle of scan directions across the source 
real 
4 
degrees 


scan_direction_mean_k3 
gaia_source, tgas_source 
GAIADR1 
Mean position angle of scan directions across the source 
real 
4 
degrees 


scan_direction_mean_k4 
gaia_source, tgas_source 
GAIADR1 
Mean position angle of scan directions across the source 
real 
4 
degrees 


scan_direction_strength_k1 
gaia_source, tgas_source 
GAIADR1 
Degree of concentration of scan directions across the source 
real 
4 



scan_direction_strength_k2 
gaia_source, tgas_source 
GAIADR1 
Degree of concentration of scan directions across the source 
real 
4 



scan_direction_strength_k3 
gaia_source, tgas_source 
GAIADR1 
Degree of concentration of scan directions across the source 
real 
4 



scan_direction_strength_k4 
gaia_source, tgas_source 
GAIADR1 
Degree of concentration of scan directions across the source 
real 
4 



scan_key 
twomass_psc 
TWOMASS 
Unique identification number of the record in the Scan Information Table that corresponds to the survey scan in which this source was detected. 
int 
4 


meta.id 
scan_key 
twomass_scn 
TWOMASS 
the unique identification number for this scan. 
int 
4 


meta.id 
scan_key 
twomass_sixx2_xsc 
TWOMASS 
key to scan data record in "scan DB" 
int 
4 



scan_key 
twomass_xsc 
TWOMASS 
key to scan data record in "scan DB". 
int 
4 


meta.id 
scosID 
twompzPhotoz 
TWOMPZ 
SuperCOSMOS Source table (objID) {image primary HDU keyword: SCOS_objID} 
bigint 
8 

99999999 
meta.id 
scosID 
wiseScosPhotoz, wiseScosPhotozRejects 
WISExSCOSPZ 
SuperCOSMOS Source table (objID) {image primary HDU keyword: objID} 
bigint 
8 

99999999 
meta.id 
scosID 
wiseScosSvm 
WISExSCOSPZ 
SuperCOSMOS Source table (objID) {image primary HDU keyword: scos_objID} 
bigint 
8 

99999999 
meta.id 
sd 
twomass_scn 
TWOMASS 
Scanning direction: "n" = northgoing, "s" = southgoing. 
varchar 
1 


pos.posAng 
sd 
twomass_sixx2_scn 
TWOMASS 
direction of scan  north/southbound (n/s) 
varchar 
1 



sdet 
twomass_sixx2_psc, twomass_sixx2_xsc 
TWOMASS 
# of scans in which src was detected in >=1 band 
smallint 
2 



SDSS_CAMCOL 
mgcBrightSpec 
MGC 
SDSS camera column 
int 
4 



SDSS_CLASS 
mgcBrightSpec 
MGC 
MGC translation of SDSS_TYPE 
smallint 
2 



SDSS_DEC 
mgcBrightSpec 
MGC 
SDSS object declination in deg (J2000) 
float 
8 



SDSS_EXTINC_G 
mgcBrightSpec 
MGC 
SDSS Galactic extinction correction in mag 
real 
4 



SDSS_EXTINC_I 
mgcBrightSpec 
MGC 
SDSS Galactic extinction correction in mag 
real 
4 



SDSS_EXTINC_R 
mgcBrightSpec 
MGC 
SDSS Galactic extinction correction in mag 
real 
4 



SDSS_EXTINC_U 
mgcBrightSpec 
MGC 
SDSS Galactic extinction correction in mag 
real 
4 



SDSS_EXTINC_Z 
mgcBrightSpec 
MGC 
SDSS Galactic extinction correction in mag 
real 
4 



SDSS_FIELD 
mgcBrightSpec 
MGC 
SDSS field number 
int 
4 



SDSS_MODMAG_G 
mgcBrightSpec 
MGC 
SDSS extinction corrected model magnitude 
real 
4 



SDSS_MODMAG_I 
mgcBrightSpec 
MGC 
SDSS extinction corrected model magnitude 
real 
4 



SDSS_MODMAG_R 
mgcBrightSpec 
MGC 
SDSS extinction corrected model magnitude 
real 
4 



SDSS_MODMAG_U 
mgcBrightSpec 
MGC 
SDSS extinction corrected model magnitude 
real 
4 



SDSS_MODMAG_Z 
mgcBrightSpec 
MGC 
SDSS extinction corrected model magnitude 
real 
4 



SDSS_N 
mgcBrightSpec 
MGC 
Number of SDSS objects matched to MGC object 
int 
4 



SDSS_OBJID 
mgcBrightSpec 
MGC 
SDSS PhotoObject ID 
bigint 
8 



SDSS_PETMAG_G 
mgcBrightSpec 
MGC 
SDSS extinction corrected Petrosian magnitude 
real 
4 



SDSS_PETMAG_I 
mgcBrightSpec 
MGC 
SDSS extinction corrected Petrosian magnitude 
real 
4 



SDSS_PETMAG_R 
mgcBrightSpec 
MGC 
SDSS extinction corrected Petrosian magnitude 
real 
4 



SDSS_PETMAG_U 
mgcBrightSpec 
MGC 
SDSS extinction corrected Petrosian magnitude 
real 
4 



SDSS_PETMAG_Z 
mgcBrightSpec 
MGC 
SDSS extinction corrected Petrosian magnitude 
real 
4 



SDSS_PETR50_G 
mgcBrightSpec 
MGC 
SDSS radius containing 50% Petrosian flux in arcsec 
real 
4 



SDSS_PETR50_I 
mgcBrightSpec 
MGC 
SDSS radius containing 50% Petrosian flux in arcsec 
real 
4 



SDSS_PETR50_R 
mgcBrightSpec 
MGC 
SDSS radius containing 50% Petrosian flux in arcsec 
real 
4 



SDSS_PETR50_U 
mgcBrightSpec 
MGC 
SDSS radius containing 50% Petrosian flux in arcsec 
real 
4 



SDSS_PETR50_Z 
mgcBrightSpec 
MGC 
SDSS radius containing 50% Petrosian flux in arcsec 
real 
4 



SDSS_PSFMAG_G 
mgcBrightSpec 
MGC 
SDSS extinction corrected PSF magnitude 
real 
4 



SDSS_PSFMAG_I 
mgcBrightSpec 
MGC 
SDSS extinction corrected PSF magnitude 
real 
4 



SDSS_PSFMAG_R 
mgcBrightSpec 
MGC 
SDSS extinction corrected PSF magnitude 
real 
4 



SDSS_PSFMAG_U 
mgcBrightSpec 
MGC 
SDSS extinction corrected PSF magnitude 
real 
4 



SDSS_PSFMAG_Z 
mgcBrightSpec 
MGC 
SDSS extinction corrected PSF magnitude 
real 
4 



SDSS_RA 
mgcBrightSpec 
MGC 
SDSS object right ascension in deg (J2000) 
float 
8 



SDSS_RERUN 
mgcBrightSpec 
MGC 
SDSS rerun number 
int 
4 



SDSS_RUN 
mgcBrightSpec 
MGC 
SDSS run number 
int 
4 



SDSS_SPCLASS 
mgcBrightSpec 
MGC 
MGC translation of SDSS_SPECCLASS 
smallint 
2 



SDSS_SPECCLASS 
mgcBrightSpec 
MGC 
SDSS spectroscopic classification 
smallint 
2 



SDSS_TYPE 
mgcBrightSpec 
MGC 
SDSS morphological classification 
smallint 
2 



SDSS_Z 
mgcBrightSpec 
MGC 
SDSS redshift 
real 
4 



SDSS_ZQUAL 
mgcBrightSpec 
MGC 
SDSS redshift quality 
tinyint 
1 



sdssClass 
first08Jul16Source, firstSource12Feb16 
FIRST 
morphological classification in SDSS DR6 (s=stellar, g=nonstellar/galaxy) 
varchar 
1 



sdssMag 
first08Jul16Source, firstSource12Feb16 
FIRST 
SDSS i magnitude 
real 
4 
mag 


sdssMatches 
first08Jul16Source 
FIRST 
number of matches within a fiducial radius (8 arcsec) with SDSS DR6 
int 
4 



sdssMatches 
firstSource12Feb16 
FIRST 
number of matches within a fiducial radius (8 arcsec) with SDSS DR6 
smallint 
2 



sdssPrimary 
vhsSourceXDR13PhotoObj, vhsSourceXDR13PhotoObjAll, vhsSourceXDR7PhotoObj, vhsSourceXDR7PhotoObjAll, vhsSourceXStripe82PhotoObjAll 
VHSv20180419 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
videoSourceXStripe82PhotoObjAll 
VIDEODR2 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
videoSourceXStripe82PhotoObjAll 
VIDEODR3 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
videoSourceXStripe82PhotoObjAll 
VIDEODR4 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
videoSourceXStripe82PhotoObjAll 
VIDEODR5 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
videoSourceXStripe82PhotoObjAll 
VIDEOv20100513 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
videoSourceXStripe82PhotoObjAll 
VIDEOv20111208 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
vikingSourceXDR7PhotoObj 
VIKINGDR3 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
vikingSourceXDR7PhotoObj 
VIKINGDR4 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
vikingSourceXDR7PhotoObj 
VIKINGv20110714 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
vikingSourceXDR7PhotoObj 
VIKINGv20111019 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
vikingSourceXDR7PhotoObj 
VIKINGv20130417 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
vikingSourceXDR7PhotoObj 
VIKINGv20140402 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
vikingSourceXDR7PhotoObj 
VIKINGv20150421 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
vikingSourceXDR7PhotoObj 
VIKINGv20151230 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
vikingSourceXDR7PhotoObj 
VIKINGv20160406 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssPrimary 
vikingSourceXDR7PhotoObj, vikingSourceXDR7PhotoObjAll, vikingSourceXStripe82PhotoObjAll 
VIKINGDR2 
SDSS flag for neighbour being primary (1) or secondary (0) 
tinyint 
1 

255 
meta.code 
sdssSep 
first08Jul16Source, firstSource12Feb16 
FIRST 
separation of the nearest match in SDSS DR6 from the FIRST position 
real 
4 
arcsec 


sdssType 
vhsSourceXDR13PhotoObj, vhsSourceXDR13PhotoObjAll, vhsSourceXDR7PhotoObj, vhsSourceXDR7PhotoObjAll, vhsSourceXStripe82PhotoObjAll 
VHSv20180419 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
videoSourceXStripe82PhotoObjAll 
VIDEODR2 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
videoSourceXStripe82PhotoObjAll 
VIDEODR3 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
videoSourceXStripe82PhotoObjAll 
VIDEODR4 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
videoSourceXStripe82PhotoObjAll 
VIDEODR5 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
videoSourceXStripe82PhotoObjAll 
VIDEOv20100513 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
videoSourceXStripe82PhotoObjAll 
VIDEOv20111208 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
vikingSourceXDR7PhotoObj 
VIKINGDR3 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
vikingSourceXDR7PhotoObj 
VIKINGDR4 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
vikingSourceXDR7PhotoObj 
VIKINGv20110714 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
vikingSourceXDR7PhotoObj 
VIKINGv20111019 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
vikingSourceXDR7PhotoObj 
VIKINGv20130417 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
vikingSourceXDR7PhotoObj 
VIKINGv20140402 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
vikingSourceXDR7PhotoObj 
VIKINGv20150421 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
vikingSourceXDR7PhotoObj 
VIKINGv20151230 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
vikingSourceXDR7PhotoObj 
VIKINGv20160406 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sdssType 
vikingSourceXDR7PhotoObj, vikingSourceXDR7PhotoObjAll, vikingSourceXStripe82PhotoObjAll 
VIKINGDR2 
SDSS type of neighbour: 3=galaxy; 6=star 
tinyint 
1 

255 
src.class 
sectionID 
FilterSections 
VHSDR4 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VHSv20150108 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VHSv20160114 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VHSv20160507 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VHSv20170630 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VHSv20171207 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VHSv20180419 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VIDEODR4 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VIDEODR5 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VIKINGDR4 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VIKINGv20150421 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VIKINGv20151230 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VIKINGv20160406 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VIKINGv20161202 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VIKINGv20170715 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VIKINGv20181012 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCDR3 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCDR4 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCv20140428 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCv20140903 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCv20150309 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCv20151218 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCv20160311 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCv20160822 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCv20170109 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCv20170411 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCv20171101 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCv20180702 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VMCv20181120 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VSAQC 
UID of section of focal plane with different filter 
tinyint 
1 



sectionID 
FilterSections 
VVVDR4 
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 
VHSDR1 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VHSDR2 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VHSDR3 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VHSDR4 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VHSv20120926 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VHSv20130417 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VHSv20140409 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VHSv20150108 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VHSv20160114 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VHSv20160507 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VHSv20170630 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VHSv20171207 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VHSv20180419 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIDEODR2 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIDEODR3 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIDEODR4 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIDEODR5 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIDEOv20100513 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIDEOv20111208 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGDR2 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGDR3 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGDR4 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGv20110714 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGv20111019 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGv20130417 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGv20140402 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGv20150421 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGv20151230 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGv20160406 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGv20161202 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGv20170715 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VIKINGv20181012 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCDR1 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCDR2 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCDR3 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCDR4 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20110816 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20110909 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20120126 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20121128 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20130304 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20130805 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20140428 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20140903 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20150309 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20151218 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20160311 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20160822 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20170109 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20170411 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20171101 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20180702 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VMCv20181120 
Average FWHM {catalogue extension keyword: SEEING} 
real 
4 
pixels 
0.9999995e9 
?? 
An average realistic FWHM estimated directly from the stellar images on the frame. Multiply by pixel scale size to convert to arcsec (eg. ×0.400 WFCAM; ×0.333 INT WFC). 
seeing 
MultiframeDetector 
VVVDR4 
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 
ogle3LpvLmcSource, ogle3LpvSmcSource, ogle4CepLmcSource, ogle4CepSmcSource, ogle4RRLyrLmcSource, ogle4RRLyrSmcSource 
OGLE 
sequential object number 
int 
4 


meta.number 
seqNo 
rosat_bsc 
ROSAT 
sequential object number in the BSC 
int 
4 


meta.id 
seqNo 
rosat_fsc 
ROSAT 
sequential object number in the FSC 
int 
4 


meta.id 
SEQNUM 
akari_lmc_psa_v1, akari_lmc_psc_v1 
AKARI 
Sequential number (unique object ID) 
int 
4 



SEQNUM 
grs_ngpSource, grs_ranSource, grs_sgpSource 
TWODFGRS 
Assigned sequence number to this object; determines the FITS filename (SEQNUM.fits) 
int 
4 


meta.id 
seqNum 
combo17CDFSSource 
COMBO17 
Sequential number (unique object ID) 
int 
4 



seqNum 
denisDR3Source 
DENIS 
Sequential number (unique object ID) 
int 
4 



seqNum 
eros2LMCSource, eros2SMCSource, erosLMCSource, erosSMCSource 
EROS 
Sequential number (unique object ID) 
int 
4 



seqNum 
machoLMCSource, machoSMCSource 
MACHO 
Sequential number (unique object ID) 
int 
4 



seqNum 
mcps_lmcSource, mcps_smcSource 
MCPS 
Sequential number (unique object ID) 
int 
4 



seqNum 
spitzer_smcSource 
SPITZER 
Sequential number (unique object ID) 
int 
4 



seqNum 
twomass_sixx2_psc 
TWOMASS 
Sequential number (unique object ID) 
int 
4 



seqNum 
vhsDetection 
VHSDR2 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.id 
seqNum 
vhsDetection 
VHSDR3 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vhsDetection 
VHSDR4 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vhsDetection 
VHSv20120926 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vhsDetection 
VHSv20130417 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vhsDetection 
VHSv20140409 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vhsDetection 
VHSv20150108 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vhsDetection 
VHSv20160114 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vhsDetection 
VHSv20160507 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vhsDetection 
VHSv20170630 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vhsDetection 
VHSv20171207 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vhsDetection 
VHSv20180419 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vhsDetection, vhsListRemeasurement 
VHSDR1 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.id 
seqNum 
videoDetection 
VIDEODR2 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.id 
seqNum 
videoDetection 
VIDEODR3 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
videoDetection 
VIDEODR4 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
videoDetection 
VIDEODR5 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
videoDetection 
VIDEOv20111208 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.id 
seqNum 
videoDetection, videoListRemeasurement 
VIDEOv20100513 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.id 
seqNum 
videoSourceXDetectionBestMatch 
VIDEODR2 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.id 
seqNum 
videoSourceXDetectionBestMatch 
VIDEODR3 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
videoSourceXDetectionBestMatch 
VIDEODR4 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
videoSourceXDetectionBestMatch 
VIDEODR5 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
videoSourceXDetectionBestMatch 
VIDEOv20100513 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.id 
seqNum 
videoSourceXDetectionBestMatch 
VIDEOv20111208 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.id 
seqNum 
vikingDetection 
VIKINGDR2 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.id 
seqNum 
vikingDetection 
VIKINGDR3 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vikingDetection 
VIKINGDR4 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vikingDetection 
VIKINGv20111019 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.id 
seqNum 
vikingDetection 
VIKINGv20130417 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vikingDetection 
VIKINGv20140402 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vikingDetection 
VIKINGv20150421 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vikingDetection 
VIKINGv20151230 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vikingDetection 
VIKINGv20160406 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vikingDetection 
VIKINGv20161202 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vikingDetection 
VIKINGv20170715 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vikingDetection 
VIKINGv20181012 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.id 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGDR2 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.id 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGDR3 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGDR4 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGv20110714 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.id 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGv20111019 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.id 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGv20130417 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGv20140402 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGv20150421 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGv20151230 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGv20160406 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGv20161202 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGv20170715 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
vikingSourceXDetectionBestMatch 
VIKINGv20181012 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 

99999999 
meta.number 
seqNum 
vmcDetection 
VMCDR1 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.id 
seqNum 
vmcDetection 
VMCDR2 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCDR3 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCDR4 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20110909 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.id 
seqNum 
vmcDetection 
VMCv20120126 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.id 
seqNum 
vmcDetection 
VMCv20121128 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20130304 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20130805 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20140428 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20140903 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20150309 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20151218 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20160311 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20160822 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20170109 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20170411 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20171101 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20180702 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection 
VMCv20181120 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.number 
seqNum 
vmcDetection, vmcListRemeasurement 
VMCv20110816 
the running number of this detection {catalogue TType keyword: Sequence_number} The running number for ease of reference, in strict order of image detections. 
int 
4 


meta.id 
seqNum 
vvvDetection 
VVVDR4 
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 
vvvSourceXDetectionBestMatch 
VVVDR4 
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 
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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vhsDetection 
VHSDR4 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vhsDetection 
VHSv20160114 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vhsDetection 
VHSv20160507 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vhsDetection 
VHSv20170630 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vhsDetection 
VHSv20171207 
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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vhsDetection 
VHSv20180419 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vhsDetection, vhsListRemeasurement 
VHSDR1 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
videoDetection 
VIDEODR2 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} 
real 
4 

0.9999995e9 

SerFit1DChi2 
videoDetection 
VIDEODR3 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
videoDetection 
VIDEODR4 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
videoDetection 
VIDEODR5 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
videoDetection 
VIDEOv20100513 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} 
real 
4 

0.9999995e9 

SerFit1DChi2 
videoDetection 
VIDEOv20111208 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_chi2} 
real 
4 

0.9999995e9 

SerFit1DChi2 
videoListRemeasurement 
VIDEOv20100513 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vikingDetection 
VIKINGDR2 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vikingDetection 
VIKINGv20151230 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vikingDetection 
VIKINGv20160406 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vikingDetection 
VIKINGv20161202 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vikingDetection 
VIKINGv20170715 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vikingDetection 
VIKINGv20181012 
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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit1DChi2 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
Error in 1D fit {catalogue TType keyword: 1D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vhsDetection 
VHSDR4 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vhsDetection 
VHSv20160114 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vhsDetection 
VHSv20160507 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vhsDetection 
VHSv20170630 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vhsDetection 
VHSv20171207 
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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vhsDetection 
VHSv20180419 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vhsDetection, vhsListRemeasurement 
VHSDR1 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
videoDetection 
VIDEODR2 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} 
real 
4 

0.9999995e9 

SerFit2DChi2 
videoDetection 
VIDEODR3 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
videoDetection 
VIDEODR4 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
videoDetection 
VIDEODR5 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
videoDetection 
VIDEOv20100513 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} 
real 
4 

0.9999995e9 

SerFit2DChi2 
videoDetection 
VIDEOv20111208 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_chi2} 
real 
4 

0.9999995e9 

SerFit2DChi2 
videoListRemeasurement 
VIDEOv20100513 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vikingDetection 
VIKINGDR2 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vikingDetection 
VIKINGv20151230 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vikingDetection 
VIKINGv20160406 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vikingDetection 
VIKINGv20161202 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vikingDetection 
VIKINGv20170715 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vikingDetection 
VIKINGv20181012 
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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerFit2DChi2 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
Error in 2D fit {catalogue TType keyword: 2D_Sersic_fit_chi2} standard normalised variance of fit [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vhsDetection 
VHSDR4 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vhsDetection 
VHSv20160114 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vhsDetection 
VHSv20160507 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vhsDetection 
VHSv20170630 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vhsDetection 
VHSv20171207 
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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vhsDetection 
VHSv20180419 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vhsDetection, vhsListRemeasurement 
VHSDR1 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
videoDetection 
VIDEODR2 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} 
real 
4 

0.9999995e9 

SerFitNu1D 
videoDetection 
VIDEODR3 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
videoDetection 
VIDEODR4 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
videoDetection 
VIDEODR5 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
videoDetection 
VIDEOv20100513 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} 
real 
4 

0.9999995e9 

SerFitNu1D 
videoDetection 
VIDEOv20111208 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_fit_nu} 
real 
4 

0.9999995e9 

SerFitNu1D 
videoListRemeasurement 
VIDEOv20100513 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vikingDetection 
VIKINGDR2 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vikingDetection 
VIKINGv20151230 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vikingDetection 
VIKINGv20160406 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vikingDetection 
VIKINGv20161202 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vikingDetection 
VIKINGv20170715 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vikingDetection 
VIKINGv20181012 
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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu1D 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
No. of degrees of freedom for 1D Sersic fit {catalogue TType keyword: 1D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vhsDetection 
VHSDR4 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vhsDetection 
VHSv20160114 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vhsDetection 
VHSv20160507 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vhsDetection 
VHSv20170630 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vhsDetection 
VHSv20171207 
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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vhsDetection 
VHSv20180419 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vhsDetection, vhsListRemeasurement 
VHSDR1 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
videoDetection 
VIDEODR2 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} 
real 
4 

0.9999995e9 

SerFitNu2D 
videoDetection 
VIDEODR3 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
videoDetection 
VIDEODR4 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
videoDetection 
VIDEODR5 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
videoDetection 
VIDEOv20100513 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} 
real 
4 

0.9999995e9 

SerFitNu2D 
videoDetection 
VIDEOv20111208 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_fit_nu} 
real 
4 

0.9999995e9 

SerFitNu2D 
videoListRemeasurement 
VIDEOv20100513 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vikingDetection 
VIKINGDR2 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vikingDetection 
VIKINGv20151230 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vikingDetection 
VIKINGv20160406 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vikingDetection 
VIKINGv20161202 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vikingDetection 
VIKINGv20170715 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vikingDetection 
VIKINGv20181012 
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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFitNu2D 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
No. of degrees of freedom for 2D Sersic fit {catalogue TType keyword: 2D_Sersic_fit_nu} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.dof 
SerFlux1D 
vhsDetection 
VHSDR2 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy 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 xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vhsDetection 
VHSDR4 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vhsDetection 
VHSv20160114 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vhsDetection 
VHSv20160507 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vhsDetection 
VHSv20170630 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vhsDetection 
VHSv20171207 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vhsDetection 
VHSv20180419 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vhsDetection, vhsListRemeasurement 
VHSDR1 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count;em.opt 
SerFlux1D 
videoDetection 
VIDEODR2 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} 
real 
4 

0.9999995e9 

SerFlux1D 
videoDetection 
VIDEODR3 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} 
real 
4 

0.9999995e9 
phot.count 
SerFlux1D 
videoDetection 
VIDEODR4 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} 
real 
4 

0.9999995e9 
phot.count 
SerFlux1D 
videoDetection 
VIDEODR5 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} 
real 
4 

0.9999995e9 
phot.count 
SerFlux1D 
videoDetection 
VIDEOv20100513 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} 
real 
4 

0.9999995e9 

SerFlux1D 
videoDetection 
VIDEOv20111208 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_flux} 
real 
4 

0.9999995e9 

SerFlux1D 
videoListRemeasurement 
VIDEOv20100513 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count;em.opt 
SerFlux1D 
vikingDetection 
VIKINGDR2 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vikingDetection 
VIKINGv20111019 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vikingDetection 
VIKINGv20151230 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vikingDetection 
VIKINGv20160406 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vikingDetection 
VIKINGv20161202 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vikingDetection 
VIKINGv20170715 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vikingDetection 
VIKINGv20181012 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux1D 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
1D Sersic flux {catalogue TType keyword: 1D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vhsDetection 
VHSDR4 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vhsDetection 
VHSv20160114 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vhsDetection 
VHSv20160507 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vhsDetection 
VHSv20170630 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vhsDetection 
VHSv20171207 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vhsDetection 
VHSv20180419 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vhsDetection, vhsListRemeasurement 
VHSDR1 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count;em.opt 
SerFlux2D 
videoDetection 
VIDEODR2 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} 
real 
4 

0.9999995e9 

SerFlux2D 
videoDetection 
VIDEODR3 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} 
real 
4 

0.9999995e9 
phot.count 
SerFlux2D 
videoDetection 
VIDEODR4 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} 
real 
4 

0.9999995e9 
phot.count 
SerFlux2D 
videoDetection 
VIDEODR5 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} 
real 
4 

0.9999995e9 
phot.count 
SerFlux2D 
videoDetection 
VIDEOv20100513 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} 
real 
4 

0.9999995e9 

SerFlux2D 
videoDetection 
VIDEOv20111208 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_flux} 
real 
4 

0.9999995e9 

SerFlux2D 
videoListRemeasurement 
VIDEOv20100513 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count;em.opt 
SerFlux2D 
vikingDetection 
VIKINGDR2 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vikingDetection 
VIKINGv20111019 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vikingDetection 
VIKINGv20151230 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vikingDetection 
VIKINGv20160406 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vikingDetection 
VIKINGv20161202 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vikingDetection 
VIKINGv20170715 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vikingDetection 
VIKINGv20181012 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count 
SerFlux2D 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
2D Sersic flux {catalogue TType keyword: 2D_Sersic_flux} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
ADU 
0.9999995e9 
phot.count;em.opt 
SerIdx1D 
vhsDetection 
VHSDR2 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vhsDetection 
VHSDR4 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vhsDetection 
VHSv20160114 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vhsDetection 
VHSv20160507 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vhsDetection 
VHSv20170630 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vhsDetection 
VHSv20171207 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vhsDetection 
VHSv20180419 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vhsDetection, vhsListRemeasurement 
VHSDR1 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
videoDetection 
VIDEODR2 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} 
real 
4 

0.9999995e9 

SerIdx1D 
videoDetection 
VIDEODR3 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
videoDetection 
VIDEODR4 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
videoDetection 
VIDEODR5 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
videoDetection 
VIDEOv20100513 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} 
real 
4 

0.9999995e9 

SerIdx1D 
videoDetection 
VIDEOv20111208 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_index} 
real 
4 

0.9999995e9 

SerIdx1D 
videoListRemeasurement 
VIDEOv20100513 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vikingDetection 
VIKINGDR2 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vikingDetection 
VIKINGv20151230 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vikingDetection 
VIKINGv20160406 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vikingDetection 
VIKINGv20161202 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vikingDetection 
VIKINGv20170715 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vikingDetection 
VIKINGv20181012 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx1D 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
Power law index {catalogue TType keyword: 1D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vhsDetection 
VHSDR4 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vhsDetection 
VHSv20160114 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vhsDetection 
VHSv20160507 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vhsDetection 
VHSv20170630 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vhsDetection 
VHSv20171207 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vhsDetection 
VHSv20180419 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vhsDetection, vhsListRemeasurement 
VHSDR1 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
videoDetection 
VIDEODR2 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} 
real 
4 

0.9999995e9 

SerIdx2D 
videoDetection 
VIDEODR3 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
videoDetection 
VIDEODR4 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
videoDetection 
VIDEODR5 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
videoDetection 
VIDEOv20100513 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} 
real 
4 

0.9999995e9 

SerIdx2D 
videoDetection 
VIDEOv20111208 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_index} 
real 
4 

0.9999995e9 

SerIdx2D 
videoListRemeasurement 
VIDEOv20100513 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vikingDetection 
VIKINGDR2 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vikingDetection 
VIKINGv20151230 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vikingDetection 
VIKINGv20160406 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vikingDetection 
VIKINGv20161202 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vikingDetection 
VIKINGv20170715 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vikingDetection 
VIKINGv20181012 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerIdx2D 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
Power law index {catalogue TType keyword: 2D_Sersic_index} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerMag1D 
vhsDetection 
VHSDR2 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy 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 xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param 
SerMag1D 
vhsDetection 
VHSDR4 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vhsDetection 
VHSv20120926 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vhsDetection 
VHSv20160114 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vhsDetection 
VHSv20160507 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vhsDetection 
VHSv20170630 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vhsDetection 
VHSv20171207 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vhsDetection 
VHSv20180419 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vhsDetection, vhsListRemeasurement 
VHSDR1 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
PHOT_PROFILE 
SerMag1D 
videoDetection 
VIDEODR2 
SExtractor parameter 
real 
4 

0.9999995e9 

SerMag1D 
videoDetection 
VIDEODR3 
SExtractor parameter 
real 
4 

0.9999995e9 
stat.fit.param 
SerMag1D 
videoDetection 
VIDEODR4 
SExtractor parameter 
real 
4 

0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
videoDetection 
VIDEODR5 
SExtractor parameter 
real 
4 

0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
videoDetection 
VIDEOv20100513 
SExtractor parameter 
real 
4 

0.9999995e9 

SerMag1D 
videoDetection 
VIDEOv20111208 
SExtractor parameter 
real 
4 

0.9999995e9 

SerMag1D 
videoListRemeasurement 
VIDEOv20100513 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
PHOT_PROFILE 
SerMag1D 
vikingDetection 
VIKINGDR2 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param 
SerMag1D 
vikingDetection 
VIKINGv20111019 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vikingDetection 
VIKINGv20151230 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vikingDetection 
VIKINGv20160406 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vikingDetection 
VIKINGv20161202 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vikingDetection 
VIKINGv20170715 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vikingDetection 
VIKINGv20181012 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag1D 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
Calibrated 1D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param 
SerMag2D 
vhsDetection 
VHSDR4 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vhsDetection 
VHSv20120926 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vhsDetection 
VHSv20160114 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vhsDetection 
VHSv20160507 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vhsDetection 
VHSv20170630 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vhsDetection 
VHSv20171207 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vhsDetection 
VHSv20180419 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vhsDetection, vhsListRemeasurement 
VHSDR1 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
PHOT_PROFILE 
SerMag2D 
videoDetection 
VIDEODR2 
SExtractor parameter 
real 
4 

0.9999995e9 

SerMag2D 
videoDetection 
VIDEODR3 
SExtractor parameter 
real 
4 

0.9999995e9 
stat.fit.param 
SerMag2D 
videoDetection 
VIDEODR4 
SExtractor parameter 
real 
4 

0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
videoDetection 
VIDEODR5 
SExtractor parameter 
real 
4 

0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
videoDetection 
VIDEOv20100513 
SExtractor parameter 
real 
4 

0.9999995e9 

SerMag2D 
videoDetection 
VIDEOv20111208 
SExtractor parameter 
real 
4 

0.9999995e9 

SerMag2D 
videoListRemeasurement 
VIDEOv20100513 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
PHOT_PROFILE 
SerMag2D 
vikingDetection 
VIKINGDR2 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param 
SerMag2D 
vikingDetection 
VIKINGv20111019 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vikingDetection 
VIKINGv20151230 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vikingDetection 
VIKINGv20160406 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vikingDetection 
VIKINGv20161202 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vikingDetection 
VIKINGv20170715 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vikingDetection 
VIKINGv20181012 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
stat.fit.param;phot.mag 
SerMag2D 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
Calibrated 2D Sersic flux [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 
mag 
0.9999995e9 
PHOT_PROFILE 
SerScaleLen1D 
vhsDetection 
VHSDR2 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vhsDetection 
VHSDR4 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vhsDetection 
VHSv20160114 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vhsDetection 
VHSv20160507 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vhsDetection 
VHSv20170630 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vhsDetection 
VHSv20171207 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vhsDetection 
VHSv20180419 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vhsDetection, vhsListRemeasurement 
VHSDR1 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
videoDetection 
VIDEODR2 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} 
real 
4 

0.9999995e9 

SerScaleLen1D 
videoDetection 
VIDEODR3 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
videoDetection 
VIDEODR4 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
videoDetection 
VIDEODR5 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
videoDetection 
VIDEOv20100513 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} 
real 
4 

0.9999995e9 

SerScaleLen1D 
videoDetection 
VIDEOv20111208 
SExtractor parameter {catalogue TType keyword: 1D_Sersic_scale_len} 
real 
4 

0.9999995e9 

SerScaleLen1D 
videoListRemeasurement 
VIDEOv20100513 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vikingDetection 
VIKINGDR2 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vikingDetection 
VIKINGv20151230 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vikingDetection 
VIKINGv20160406 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vikingDetection 
VIKINGv20161202 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vikingDetection 
VIKINGv20170715 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vikingDetection 
VIKINGv20181012 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen1D 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
Scale length {catalogue TType keyword: 1D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vhsDetection 
VHSDR4 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vhsDetection 
VHSv20160114 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vhsDetection 
VHSv20160507 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vhsDetection 
VHSv20170630 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vhsDetection 
VHSv20171207 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vhsDetection 
VHSv20180419 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vhsDetection, vhsListRemeasurement 
VHSDR1 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
videoDetection 
VIDEODR2 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} 
real 
4 

0.9999995e9 

SerScaleLen2D 
videoDetection 
VIDEODR3 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
videoDetection 
VIDEODR4 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
videoDetection 
VIDEODR5 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
videoDetection 
VIDEOv20100513 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} 
real 
4 

0.9999995e9 

SerScaleLen2D 
videoDetection 
VIDEOv20111208 
SExtractor parameter {catalogue TType keyword: 2D_Sersic_scale_len} 
real 
4 

0.9999995e9 

SerScaleLen2D 
videoListRemeasurement 
VIDEOv20100513 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vikingDetection 
VIKINGDR2 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy 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 xy 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 xy 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 xy 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 xy 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 xy 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 xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vikingDetection 
VIKINGv20151230 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vikingDetection 
VIKINGv20160406 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vikingDetection 
VIKINGv20161202 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vikingDetection 
VIKINGv20170715 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vikingDetection 
VIKINGv20181012 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy coordinates] 
real 
4 

0.9999995e9 
stat.fit.param 
SerScaleLen2D 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
Scale length {catalogue TType keyword: 2D_Sersic_scale_len} [For numerical stability the Sersic fits will use the previously derived xy 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 secondsconfirmed nearby small extended sources (100 micron). 
tinyint 
1 


instr.param 
ses1_12 
iras_psc 
IRAS 
Number of secondsconfirmed nearby small extended sources (12 micron). 
tinyint 
1 


instr.param 
ses1_25 
iras_psc 
IRAS 
Number of secondsconfirmed nearby small extended sources (25 micron). 
tinyint 
1 


instr.param 
ses1_60 
iras_psc 
IRAS 
Number of secondsconfirmed nearby small extended sources (60 micron). 
tinyint 
1 


instr.param 
ses2_100 
iras_psc 
IRAS 
Number of nearby weeksconfirmed small extended sources (100 micron). 
tinyint 
1 


meta.code 
ses2_12 
iras_psc 
IRAS 
Number of nearby weeksconfirmed small extended sources (12 micron). 
tinyint 
1 


meta.code 
ses2_25 
iras_psc 
IRAS 
Number of nearby weeksconfirmed small extended sources (25 micron). 
tinyint 
1 


meta.code 
ses2_60 
iras_psc 
IRAS 
Number of nearby weeksconfirmed 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 



sharp 
vvvPsfDaophotJKsSource 
VVVDR4 
Sharpness of the gaussian [1,1] {catalogue TType keyword: sharp} 
real 
4 


stat.fit.goodness 
SHARPL15 
akari_lmc_psa_v1, akari_lmc_psc_v1 
AKARI 
Sharpness 
float 
8 

99.999 

SHARPL24 
akari_lmc_psa_v1, akari_lmc_psc_v1 
AKARI 
Sharpness 
float 
8 

99.999 

SHARPN3 
akari_lmc_psa_v1, akari_lmc_psc_v1 
AKARI 
Sharpness 
float 
8 

99.999 

SHARPS11 
akari_lmc_psa_v1, akari_lmc_psc_v1 
AKARI 
Sharpness 
float 
8 

99.999 

SHARPS7 
akari_lmc_psa_v1, akari_lmc_psc_v1 
AKARI 
Sharpness 
float 
8 

99.999 

shortName 
Filter 
VHSDR1 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VHSDR2 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VHSDR3 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VHSDR4 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VHSv20120926 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VHSv20130417 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VHSv20150108 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VHSv20160114 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VHSv20160507 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VHSv20170630 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VHSv20171207 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VHSv20180419 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIDEODR2 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIDEODR3 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIDEODR4 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIDEODR5 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIDEOv20100513 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIDEOv20111208 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIKINGDR2 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIKINGDR3 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIKINGDR4 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIKINGv20110714 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIKINGv20111019 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIKINGv20130417 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIKINGv20150421 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIKINGv20151230 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIKINGv20160406 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIKINGv20161202 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIKINGv20170715 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VIKINGv20181012 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCDR1 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCDR3 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCDR4 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20110816 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20110909 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20120126 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20121128 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20130304 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20130805 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20140428 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20140903 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20150309 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20151218 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20160311 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20160822 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20170109 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20170411 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20171101 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20180702 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VMCv20181120 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VSAQC 
Short identification name for the filter 
varchar 
10 


?? 
shortName 
Filter 
VVVDR4 
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 
VHSDR4 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VHSv20150108 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VHSv20160114 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VHSv20160507 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VHSv20170630 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VHSv20171207 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VHSv20180419 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VIDEODR4 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VIDEODR5 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VIKINGDR4 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VIKINGv20150421 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VIKINGv20151230 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VIKINGv20160406 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VIKINGv20161202 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VIKINGv20170715 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VIKINGv20181012 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCDR3 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCDR4 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCv20140428 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCv20140903 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCv20150309 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCv20151218 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCv20160311 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCv20160822 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCv20170109 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCv20170411 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCv20171101 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCv20180702 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VMCv20181120 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VSAQC 
Short identification name for the filter section 
varchar 
10 


?? 
shortName 
FilterSections 
VVVDR4 
Short identification name for the filter section 
varchar 
10 


?? 
Si 
ravedr5Source 
RAVE 
[Si/H] abundance of Si 
real 
4 
dex 

phys.abund.Z 
Si_N 
ravedr5Source 
RAVE 
Number of used spectral lines in calc. of [Si/H] 
smallint 
2 


meta.number 
siga 
vhsAstrometricInfo 
VHSv20170630 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vhsAstrometricInfo 
VHSv20171207 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vhsAstrometricInfo 
VHSv20180419 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
videoAstrometricInfo 
VIDEODR2 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
?? 
siga 
videoAstrometricInfo 
VIDEODR3 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
videoAstrometricInfo 
VIDEODR4 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
videoAstrometricInfo 
VIDEODR5 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
videoAstrometricInfo 
VIDEOv20111208 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
?? 
siga 
vikingAstrometricInfo 
VIKINGDR2 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
?? 
siga 
vikingAstrometricInfo 
VIKINGDR3 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vikingAstrometricInfo 
VIKINGDR4 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vikingAstrometricInfo 
VIKINGv20110714 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
?? 
siga 
vikingAstrometricInfo 
VIKINGv20111019 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
?? 
siga 
vikingAstrometricInfo 
VIKINGv20130417 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vikingAstrometricInfo 
VIKINGv20140402 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vikingAstrometricInfo 
VIKINGv20150421 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vikingAstrometricInfo 
VIKINGv20151230 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vikingAstrometricInfo 
VIKINGv20160406 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vikingAstrometricInfo 
VIKINGv20161202 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vikingAstrometricInfo 
VIKINGv20170715 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vikingAstrometricInfo 
VIKINGv20181012 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCDR1 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
?? 
siga 
vmcAstrometricInfo 
VMCDR2 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCDR3 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCDR4 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20110816 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
?? 
siga 
vmcAstrometricInfo 
VMCv20110909 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
?? 
siga 
vmcAstrometricInfo 
VMCv20120126 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
?? 
siga 
vmcAstrometricInfo 
VMCv20121128 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20130304 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20130805 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20140428 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20140903 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20150309 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20151218 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20160311 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20160822 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20170109 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20170411 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20171101 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20180702 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vmcAstrometricInfo 
VMCv20181120 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
siga 
vvvAstrometricInfo 
VVVDR4 
Error on coefficient a 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vhsAstrometricInfo 
VHSv20170630 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vhsAstrometricInfo 
VHSv20171207 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vhsAstrometricInfo 
VHSv20180419 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
videoAstrometricInfo 
VIDEODR2 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
?? 
sigd 
videoAstrometricInfo 
VIDEODR3 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
videoAstrometricInfo 
VIDEODR4 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
videoAstrometricInfo 
VIDEODR5 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
videoAstrometricInfo 
VIDEOv20111208 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
?? 
sigd 
vikingAstrometricInfo 
VIKINGDR2 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
?? 
sigd 
vikingAstrometricInfo 
VIKINGDR3 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vikingAstrometricInfo 
VIKINGDR4 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vikingAstrometricInfo 
VIKINGv20110714 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
?? 
sigd 
vikingAstrometricInfo 
VIKINGv20111019 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
?? 
sigd 
vikingAstrometricInfo 
VIKINGv20130417 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vikingAstrometricInfo 
VIKINGv20140402 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vikingAstrometricInfo 
VIKINGv20150421 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vikingAstrometricInfo 
VIKINGv20151230 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vikingAstrometricInfo 
VIKINGv20160406 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vikingAstrometricInfo 
VIKINGv20161202 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vikingAstrometricInfo 
VIKINGv20170715 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vikingAstrometricInfo 
VIKINGv20181012 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCDR1 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
?? 
sigd 
vmcAstrometricInfo 
VMCDR2 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCDR3 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCDR4 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20110816 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
?? 
sigd 
vmcAstrometricInfo 
VMCv20110909 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
?? 
sigd 
vmcAstrometricInfo 
VMCv20120126 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
?? 
sigd 
vmcAstrometricInfo 
VMCv20121128 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20130304 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20130805 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20140428 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20140903 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20150309 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20151218 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20160311 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20160822 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20170109 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20170411 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20171101 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20180702 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vmcAstrometricInfo 
VMCv20181120 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
sigd 
vvvAstrometricInfo 
VVVDR4 
Error on coefficient d 
float 
8 
arcsec 
0.9999995e9 
stat.fit;stat.stdev 
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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
videoVariability 
VIDEODR5 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vikingVariability 
VIKINGv20151230 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vikingVariability 
VIKINGv20160406 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vikingVariability 
VIKINGv20161202 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vikingVariability 
VIKINGv20170715 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 
VIKINGv20181012 
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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vmcVariability 
VMCDR4 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vmcVariability 
VMCv20151218 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vmcVariability 
VMCv20160311 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vmcVariability 
VMCv20160822 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vmcVariability 
VMCv20170109 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vmcVariability 
VMCv20170411 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vmcVariability 
VMCv20171101 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vmcVariability 
VMCv20180702 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigDec 
vmcVariability 
VMCv20181120 
Uncertainty in mean Dec 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 
VVVDR4 
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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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_sc2 
WISE 
Onesigma uncertainty in declination coordinate from the nonmoving source extraction. 
float 
8 
arcsec 


sigdec_pm 
allwise_sc2 
WISE 
Onesigma uncertainty in declination from the profilefitting measurement model that includes motion. This column is null if the motionfit failed to converge or was not attempted. 
float 
8 
arcsec 


sigDecCen 
vikingZY_selJ_SourceRemeasurement 
VIKINGZYSELJv20160909 
Uncertainty in Dec of centroid 
real 
4 
Degrees 
0.9999995e9 
stat.error;pos.eq.dec 
sigDecCen 
vikingZY_selJ_SourceRemeasurement 
VIKINGZYSELJv20170124 
Uncertainty in Dec of centroid 
real 
4 
Degrees 
0.9999995e9 
stat.error;pos.eq.dec 
sigMuDec 
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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
videoVariability 
VIDEODR5 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vikingVariability 
VIKINGv20151230 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vikingVariability 
VIKINGv20160406 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vikingVariability 
VIKINGv20161202 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vikingVariability 
VIKINGv20170715 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 
VIKINGv20181012 
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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vmcVariability 
VMCDR4 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vmcVariability 
VMCv20151218 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vmcVariability 
VMCv20160311 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vmcVariability 
VMCv20160822 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vmcVariability 
VMCv20170109 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vmcVariability 
VMCv20170411 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vmcVariability 
VMCv20171101 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vmcVariability 
VMCv20180702 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuDec 
vmcVariability 
VMCv20181120 
Error on proper motion in Dec 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 
VVVDR4 
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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
videoVariability 
VIDEODR5 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vikingVariability 
VIKINGv20151230 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vikingVariability 
VIKINGv20160406 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vikingVariability 
VIKINGv20161202 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vikingVariability 
VIKINGv20170715 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 
VIKINGv20181012 
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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vmcVariability 
VMCDR4 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vmcVariability 
VMCv20151218 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vmcVariability 
VMCv20160311 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vmcVariability 
VMCv20160822 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vmcVariability 
VMCv20170109 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vmcVariability 
VMCv20170411 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vmcVariability 
VMCv20171101 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vmcVariability 
VMCv20180702 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigMuRa 
vmcVariability 
VMCv20181120 
Error on proper motion in RA 
real 
4 
mas/yr 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 
VVVDR4 
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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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_sc2 
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_sc2 
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 
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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
videoVariability 
VIDEODR5 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vikingVariability 
VIKINGv20151230 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vikingVariability 
VIKINGv20160406 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vikingVariability 
VIKINGv20161202 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vikingVariability 
VIKINGv20170715 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 
VIKINGv20181012 
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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vmcVariability 
VMCDR4 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vmcVariability 
VMCv20151218 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vmcVariability 
VMCv20160311 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vmcVariability 
VMCv20160822 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vmcVariability 
VMCv20170109 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vmcVariability 
VMCv20170411 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vmcVariability 
VMCv20171101 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vmcVariability 
VMCv20180702 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table. 
sigRa 
vmcVariability 
VMCv20181120 
Uncertainty in mean RA 
real 
4 
Degrees 
0.9999995e9 
stat.error 
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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 
VVVDR4 
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 zaxis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chisquared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in nonsynoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data 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_sc2 
WISE 
Onesigma uncertainty in right ascension coordinate from the nonmoving source extraction. 
float 
8 
arcsec 


sigra_pm 
allwise_sc2 
WISE 
Onesigma uncertainty in right ascension from the profilefitting measurement model that includes motion. This column is null if the motionfit failed to converge or was not attempted. 
float 
8 
arcsec 


sigRaCen 
vikingZY_selJ_SourceRemeasurement 
VIKINGZYSELJv20160909 
Uncertainty in RA of centroid 
real 
4 
Degrees 
0.9999995e9 
stat.error;pos.eq.ra 
sigRaCen 
vikingZY_selJ_SourceRemeasurement 
VIKINGZYSELJv20170124 
Uncertainty in RA of centroid 
real 
4 
Degrees 
0.9999995e9 
stat.error;pos.eq.ra 
sigradec 
allwise_sc2 
WISE 
The cosigma of the equatorial position uncertainties, sigra, sigdec (σ_{α}, σ_{δ}). The covariance between the position errors, V_{αδ}, can be derived from the quoted cosigma, σ_{αδ}, by the formula V_{αδ} = σ_{αδ}×σ_{αδ}. This maintains the sign information for the covariance since σ_{αδ} may be negative. It is more natural to carry the cosigma 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_pm 
allwise_sc2 
WISE 
The cosigma of the equatorial position uncertainties from the profilefitting measurement model that includes motion, sigra_pm, sigdec_pm (σ_{α_pm}, σ_{δ_pm}). The covariance between the position errors, V_{α_pmδ_pm}, can be derived from the quoted cosigma, σ_{α_pmδ_pm}, by the formula _{α_pmδ_pm} = σ_{α_pmδ_pm}×σ_{α_pmδ_pm}. This maintains the sign information for the covariance since σ_{α_pmδ_pm} may be negative. It is more natural to carry the cosigma 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 motionfit failed to converge or was not attempted. 
float 
8 
arcsec 


skewness 
phot_variable_time_series_g_fov_statistical_parameters 
GAIADR1 
Standardized unweighted skewness of the Gband time series values 
float 
8 


stat.value 
sky 
vhsDetection 
VHSDR2 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vhsDetection 
VHSDR3 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vhsDetection 
VHSDR4 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vhsDetection 
VHSv20120926 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vhsDetection 
VHSv20130417 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vhsDetection 
VHSv20140409 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vhsDetection 
VHSv20150108 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vhsDetection 
VHSv20160114 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vhsDetection 
VHSv20160507 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vhsDetection 
VHSv20170630 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vhsDetection 
VHSv20171207 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vhsDetection 
VHSv20180419 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vhsDetection, vhsListRemeasurement 
VHSDR1 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
videoDetection 
VIDEODR2 
local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
videoDetection 
VIDEODR3 
local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
videoDetection 
VIDEODR4 
local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
videoDetection 
VIDEODR5 
local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
videoDetection 
VIDEOv20100513 
local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
videoDetection 
VIDEOv20111208 
local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
videoListRemeasurement 
VIDEOv20100513 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection 
VIKINGDR2 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection 
VIKINGDR3 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection 
VIKINGDR4 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection 
VIKINGv20111019 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection 
VIKINGv20130417 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection 
VIKINGv20140402 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection 
VIKINGv20150421 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection 
VIKINGv20151230 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection 
VIKINGv20160406 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection 
VIKINGv20161202 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection 
VIKINGv20170715 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection 
VIKINGv20181012 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingDetection, vikingListRemeasurement 
VIKINGv20110714 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingMapRemeasurement 
VIKINGZYSELJv20160909 
local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vikingMapRemeasurement 
VIKINGZYSELJv20170124 
local interpolated sky level from background tracker (SE: BACKGROUND) {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCDR1 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCDR2 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCDR3 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCDR4 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20110909 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20120126 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20121128 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20130304 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20130805 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20140428 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20140903 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20150309 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20151218 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20160311 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20160822 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20170109 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20170411 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20171101 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20180702 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection 
VMCv20181120 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vmcDetection, vmcListRemeasurement 
VMCv20110816 
local interpolated sky level from background tracker {catalogue TType keyword: Sky_level} 
real 
4 
ADU 

instr.skyLevel 
sky 
vvvDetection 
VVVDR4 
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 
VHSDR1 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VHSDR2 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VHSDR3 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VHSDR4 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VHSv20120926 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VHSv20130417 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VHSv20140409 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VHSv20150108 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VHSv20160114 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VHSv20160507 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VHSv20170630 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VHSv20171207 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VHSv20180419 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIDEODR2 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIDEODR3 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIDEODR4 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIDEODR5 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIDEOv20100513 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIDEOv20111208 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGDR2 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGDR3 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGDR4 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGv20110714 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGv20111019 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGv20130417 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGv20140402 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGv20150421 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGv20151230 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGv20160406 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGv20161202 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGv20170715 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VIKINGv20181012 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCDR1 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCDR2 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCDR3 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCDR4 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20110816 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20110909 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20120126 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20121128 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20130304 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20130805 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20140428 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20140903 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20150309 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20151218 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20160311 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20160822 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20170109 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20170411 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20171101 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20180702 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VMCv20181120 
Sky estimation algorithm {image primary HDU keyword: SKYALGO} 
varchar 
64 

NONE 

skyAlgorithm 
Multiframe 
VVVDR4 
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 
VHSDR1 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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×log_{10}(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×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VHSDR4 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VHSv20160114 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VHSv20160507 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VHSv20170630 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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 
VHSv20171207 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VHSv20180419 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VIDEODR5 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VIKINGv20151230 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VIKINGv20160406 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VIKINGv20161202 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VIKINGv20170715 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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 
VIKINGv20181012 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VMCDR4 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VMCv20151218 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VMCv20160311 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VMCv20160822 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VMCv20170109 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VMCv20170411 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VMCv20171101 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VMCv20180702 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrCat 
MultiframeDetector 
VMCv20181120 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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 
VVVDR4 
Percentage sky correction for the catalogue data {catalogue extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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 
VHSDR1 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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×log_{10}(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×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VHSDR4 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VHSv20160114 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VHSv20160507 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VHSv20170630 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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 
VHSv20171207 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VHSv20180419 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VIDEODR5 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VIKINGv20151230 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VIKINGv20160406 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VIKINGv20161202 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VIKINGv20170715 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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 
VIKINGv20181012 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VMCDR4 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(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×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VMCv20151218 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VMCv20160311 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VMCv20160822 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VMCv20170109 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VMCv20170411 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VMCv20171101 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VMCv20180702 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(flux) + aperCor + skyCorr 
real 
4 

0.9999995e9 
?? 
This is a correction based on the median dark sky recorded in science frames compared to the median for all the detectors and as such is an ancillary correction to the gain correction derived from the flatfield (usually twilight flats) data. 
skyCorrExt 
MultiframeDetector 
VMCv20181120 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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 
VVVDR4 
Percentage sky correction of the detector {image extension keyword: PERCORR} corrected photometry = 2.5×log_{10}(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 
VHSDR1 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VHSDR2 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VHSDR3 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VHSDR4 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VHSv20120926 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VHSv20130417 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VHSv20140409 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VHSv20150108 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VHSv20160114 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VHSv20160507 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VHSv20170630 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VHSv20171207 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VHSv20180419 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIDEODR2 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIDEODR3 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIDEODR4 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIDEODR5 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIDEOv20100513 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIDEOv20111208 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGDR2 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGDR3 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGDR4 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGv20110714 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGv20111019 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGv20130417 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGv20140402 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGv20150421 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGv20151230 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGv20160406 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGv20161202 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGv20170715 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VIKINGv20181012 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCDR1 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCDR2 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCDR3 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCDR4 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20110816 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20110909 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20120126 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20121128 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20130304 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20130805 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20140428 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20140903 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20150309 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20151218 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20160311 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20160822 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20170109 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20170411 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20171101 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20180702 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VMCv20181120 
UID of library calibration sky sub frame {image extension keyword: SKYSUB} 
bigint 
8 

99999999 
obs.field 
skyID 
Multiframe 
VVVDR4 
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 
VHSDR1 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VHSDR4 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VHSv20160114 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VHSv20160507 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VHSv20170630 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear 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 
VHSv20171207 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VHSv20180419 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VIDEODR5 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VIKINGv20151230 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VIKINGv20160406 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VIKINGv20161202 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VIKINGv20170715 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear 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 
VIKINGv20181012 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VMCDR4 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear 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 backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VMCv20151218 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VMCv20160311 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VMCv20160822 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VMCv20170109 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VMCv20170411 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VMCv20171101 
Median sky brightness {catalogue extension keyword: SKYLEVEL} 
real 
4 
counts/pixel 
0.9999995e9 
?? 
An automatic 2D backgroundfollowing 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 nonlinear filtering this gives a background tracking scale of order 100 pixels. (A bilinear interpolator is used to generate pixel resolution background maps internally). 
skyLevel 
MultiframeDetector 
VMCv20180702 
Median sky brightness {catalogue 