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Glossary of VSA attributes

This Glossary alphabetically lists all attributes used in the VSAv20190524 database(s) held in the VSA. If you would like to have more information about the schema tables please use the VSAv20190524 Schema Browser (other Browser versions).
A B C D E F G H I J K L M
N O P Q R S T U V W X Y Z

N

NameSchema TableDatabaseDescriptionTypeLengthUnitDefault ValueUnified Content Descriptor
N1 glimpse_hrc_inter, glimpse_mca_inter GLIMPSE Possible number of detections for band 1 int 4   -9  
N2 glimpse_hrc_inter, glimpse_mca_inter GLIMPSE Possible number of detections for band 2 int 4   -9  
N3 glimpse_hrc_inter, glimpse_mca_inter GLIMPSE Possible number of detections for band 3 int 4   -9  
N3_6 glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca GLIMPSE Number of possible detections for 3.6um IRAC (Band 1) int 4   -9  
n3_6 sage_lmcIracSource SPITZER Possible number of detections for band 3.6 int 4      
n3_6 sage_smcIRACv1_5Source SPITZER Number of possible detections for 3.6um IRAC (Band 1) int 4      
N4 glimpse_hrc_inter, glimpse_mca_inter GLIMPSE Possible number of detections for band 4 int 4   -9  
N4_5 glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca GLIMPSE Number of possible detections for 4.5um IRAC (Band 2) int 4   -9  
n4_5 sage_lmcIracSource SPITZER Possible number of detections for band 4.5 int 4      
n4_5 sage_smcIRACv1_5Source SPITZER Number of possible detections for 4.5 um IRAC (Band 2) int 4      
N5_8 glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca GLIMPSE Number of possible detections for 5.8um IRAC (Band 3) int 4   -9  
n5_8 sage_lmcIracSource SPITZER Possible number of detections for band 5.8 int 4      
n5_8 sage_smcIRACv1_5Source SPITZER Number of possible detections for 5.8um IRAC (Band 3) int 4      
N8_0 glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca GLIMPSE Number of possible detections for 8.0um IRAC (Band 4) int 4   -9  
n8_0 sage_lmcIracSource SPITZER Possible number of detections for band 8.0 int 4      
n8_0 sage_smcIRACv1_5Source SPITZER Number of possible detections for 8.0um IRAC (Band 4) int 4      
n_2mass allwise_sc2 WISE The number of 2MASS PSC entries found within a 3" radius of the WISE source position. If more than one 2MASS PSC falls within 3" of the WISE position, the closest 2MASS PSC entry is listed. This column is zero if there is no associated 2MASS PSC source. int 4      
n_blank twomass_xsc TWOMASS number of blanked source records. smallint 2     meta.number
N_DETECTIONS twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0 XMM The number of detections of the unique source SRCID used to derive the averaged values. int 4      
N_DETECTIONS xmm3dr4 XMM The number of detections of the unique source SRCID used to derive the averaged values. smallint 2      
n_epmf_0 vvvProperMotionCatalogue VVVDR4 The number of pawprint sets with no error flags {catalogue TType keyword: n_epmf_0} int 4   -99999999  
n_epmf_0 vvvProperMotionCatalogue VVVDR5 The number of pawprint sets with no error flags {catalogue TType keyword: n_epmf_0} int 4   -99999999  
n_epmf_1 vvvProperMotionCatalogue VVVDR4 The number of pawprint sets with median proper motion uncertainty at this magnitude >5 mas/yr {catalogue TType keyword: n_epmf_1} int 4   -99999999  
n_epmf_1 vvvProperMotionCatalogue VVVDR5 The number of pawprint sets with median proper motion uncertainty at this magnitude >5 mas/yr {catalogue TType keyword: n_epmf_1} int 4   -99999999  
n_epmf_2 vvvProperMotionCatalogue VVVDR4 The number of pawprint sets with proper motion uncertainty for this source is significantly greater than normal for a source of its magnitude {catalogue TType keyword: n_epmf_2} int 4   -99999999  
n_epmf_2 vvvProperMotionCatalogue VVVDR5 The number of pawprint sets with proper motion uncertainty for this source is significantly greater than normal for a source of its magnitude {catalogue TType keyword: n_epmf_2} int 4   -99999999  
n_epmf_3 vvvProperMotionCatalogue VVVDR4 The number of pawprint sets with both 1+2 {catalogue TType keyword: n_epmf_3} int 4   -99999999  
n_epmf_3 vvvProperMotionCatalogue VVVDR5 The number of pawprint sets with both 1+2 {catalogue TType keyword: n_epmf_3} int 4   -99999999  
n_ext twomass_scn TWOMASS Number of regular extended sources detected in scan. int 4     meta.number
n_ext twomass_sixx2_scn TWOMASS number of regular extended sources detected in scan int 4      
N_Gauss_fit ravedr5Source RAVE Number of components required for multi-aussian distance modulus fit int 4     meta.number
N_SPEC mgcBrightSpec MGC Total number of spectra for this object smallint 2      
n_sub twomass_xsc TWOMASS number of subtracted source records. smallint 2     meta.number
na allwise_sc2 WISE Active deblending flag. Indicates if a single detection was split into multiple sources in the process of profile-fitting: 0 - the source is not actively deblended; 1 - the source is actively deblended. int 4      
NAME grs_ngpSource, grs_ranSource, grs_sgpSource TWODFGRS 2dFGRS assigned name; if either (i) BJSELOLD is fainter than 19.45, or (ii) the object could not be allocated to a fibre by the configuration algorithm, then NAME is blank varchar 10      
name Filter ULTRAVISTADR4 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSDR1 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSDR2 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSDR3 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSDR4 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSDR5 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSDR6 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSv20120926 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSv20130417 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSv20150108 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSv20160114 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSv20160507 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSv20170630 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VHSv20180419 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIDEODR2 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIDEODR3 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIDEODR4 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIDEODR5 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIDEOv20100513 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIDEOv20111208 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIKINGDR2 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIKINGDR3 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIKINGDR4 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIKINGDR5 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIKINGv20110714 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIKINGv20111019 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIKINGv20130417 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIKINGv20150421 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIKINGv20151230 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIKINGv20160406 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIKINGv20161202 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VIKINGv20170715 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCDR1 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCDR3 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCDR4 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20110816 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20110909 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20120126 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20121128 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20130304 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20130805 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20140428 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20140903 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20150309 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20151218 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20160311 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20160822 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20170109 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20170411 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20171101 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20180702 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VMCv20181120 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VSAQC The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VVVDR1 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VVVDR2 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VVVDR4 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VVVDR5 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VVVv20100531 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name Filter VVVv20110718 The name of the filter, eg. "MKO J", "K short" etc. varchar 16     meta.note
name RequiredListDrivenProduct VHSv20130417 the name of the list varchar 16   NONE ??
name RequiredListDrivenProduct VIKINGv20130417 the name of the list varchar 16   NONE ??
name RequiredListDrivenProduct VMCv20130805 the name of the list varchar 16   NONE ??
name RequiredMatchedApertureProduct ULTRAVISTADR4 the name of the matched aperture product varchar 16     ??
name RequiredMatchedApertureProduct VVVDR5 the name of the matched aperture product varchar 16     ??
name RequiredMergeLogMultiEpoch VHSDR5 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VHSDR6 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VHSv20160114 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VHSv20160507 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VHSv20170630 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VHSv20180419 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VIKINGDR5 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VIKINGv20151230 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VIKINGv20160406 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VIKINGv20161202 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VIKINGv20170715 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VMCDR4 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VMCv20151218 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VMCv20160311 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VMCv20160822 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VMCv20170109 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VMCv20170411 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VMCv20171101 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VMCv20180702 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VMCv20181120 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VVVDR4 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch VVVDR5 Name of the stacked product varchar 64     ??
name RequiredMergeLogMultiEpoch, RequiredStack, RequiredTile ULTRAVISTADR4 Name of the stacked product varchar 64     ??
name RequiredMosaic ULTRAVISTADR4 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSDR1 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSDR2 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSDR3 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSDR4 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSDR5 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSDR6 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSv20120926 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSv20130417 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSv20150108 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSv20160114 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSv20160507 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSv20170630 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VHSv20180419 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIDEODR2 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIDEODR3 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIDEODR4 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIDEODR5 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIDEOv20100513 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIDEOv20111208 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIKINGDR2 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIKINGDR3 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIKINGDR4 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIKINGDR5 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIKINGv20110714 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIKINGv20111019 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIKINGv20130417 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIKINGv20150421 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIKINGv20151230 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIKINGv20160406 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIKINGv20161202 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VIKINGv20170715 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCDR1 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCDR3 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCDR4 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20110816 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20110909 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20120126 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20121128 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20130304 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20130805 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20140428 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20140903 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20150309 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20151218 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20160311 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20160822 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20170109 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20170411 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20171101 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20180702 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VMCv20181120 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VVVDR1 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VVVDR2 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VVVDR4 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VVVDR5 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VVVv20100531 Name of the mosaiced product varchar 64     ??
name RequiredMosaic VVVv20110718 Name of the mosaiced product varchar 64     ??
name RequiredMosaicTopLevel ULTRAVISTADR4 Name of the mosaiced product set up varchar 64     ??
name RequiredMosaicTopLevel VVVDR5 Name of the mosaiced product set up varchar 64     ??
name RequiredRegion ULTRAVISTADR4 Name of the region varchar 64     ??
name RequiredRegion VVVDR5 Name of the region varchar 64     ??
name Survey ULTRAVISTADR4 The short name for the survey varchar 128     ??
name Survey VHSDR1 The short name for the survey varchar 128     ??
name Survey VHSDR2 The short name for the survey varchar 128     ??
name Survey VHSDR3 The short name for the survey varchar 128     ??
name Survey VHSDR4 The short name for the survey varchar 128     ??
name Survey VHSDR5 The short name for the survey varchar 128     ??
name Survey VHSDR6 The short name for the survey varchar 128     ??
name Survey VHSv20120926 The short name for the survey varchar 128     ??
name Survey VHSv20130417 The short name for the survey varchar 128     ??
name Survey VHSv20150108 The short name for the survey varchar 128     ??
name Survey VHSv20160114 The short name for the survey varchar 128     ??
name Survey VHSv20160507 The short name for the survey varchar 128     ??
name Survey VHSv20170630 The short name for the survey varchar 128     ??
name Survey VHSv20180419 The short name for the survey varchar 128     ??
name Survey VIDEODR2 The short name for the survey varchar 128     ??
name Survey VIDEODR3 The short name for the survey varchar 128     ??
name Survey VIDEODR4 The short name for the survey varchar 128     ??
name Survey VIDEODR5 The short name for the survey varchar 128     ??
name Survey VIDEOv20100513 The short name for the survey varchar 128     ??
name Survey VIDEOv20111208 The short name for the survey varchar 128     ??
name Survey VIKINGDR2 The short name for the survey varchar 128     ??
name Survey VIKINGDR3 The short name for the survey varchar 128     ??
name Survey VIKINGDR4 The short name for the survey varchar 128     ??
name Survey VIKINGDR5 The short name for the survey varchar 128     ??
name Survey VIKINGv20110714 The short name for the survey varchar 128     ??
name Survey VIKINGv20111019 The short name for the survey varchar 128     ??
name Survey VIKINGv20130417 The short name for the survey varchar 128     ??
name Survey VIKINGv20150421 The short name for the survey varchar 128     ??
name Survey VIKINGv20151230 The short name for the survey varchar 128     ??
name Survey VIKINGv20160406 The short name for the survey varchar 128     ??
name Survey VIKINGv20161202 The short name for the survey varchar 128     ??
name Survey VIKINGv20170715 The short name for the survey varchar 128     ??
name Survey VMCDR1 The short name for the survey varchar 128     ??
name Survey VMCDR3 The short name for the survey varchar 128     ??
name Survey VMCDR4 The short name for the survey varchar 128     ??
name Survey VMCv20110816 The short name for the survey varchar 128     ??
name Survey VMCv20110909 The short name for the survey varchar 128     ??
name Survey VMCv20120126 The short name for the survey varchar 128     ??
name Survey VMCv20121128 The short name for the survey varchar 128     ??
name Survey VMCv20130304 The short name for the survey varchar 128     ??
name Survey VMCv20130805 The short name for the survey varchar 128     ??
name Survey VMCv20140428 The short name for the survey varchar 128     ??
name Survey VMCv20140903 The short name for the survey varchar 128     ??
name Survey VMCv20150309 The short name for the survey varchar 128     ??
name Survey VMCv20151218 The short name for the survey varchar 128     ??
name Survey VMCv20160311 The short name for the survey varchar 128     ??
name Survey VMCv20160822 The short name for the survey varchar 128     ??
name Survey VMCv20170109 The short name for the survey varchar 128     ??
name Survey VMCv20170411 The short name for the survey varchar 128     ??
name Survey VMCv20171101 The short name for the survey varchar 128     ??
name Survey VMCv20180702 The short name for the survey varchar 128     ??
name Survey VMCv20181120 The short name for the survey varchar 128     ??
name Survey VSAQC The short name for the survey varchar 128     ??
name Survey VVVDR1 The short name for the survey varchar 128     ??
name Survey VVVDR2 The short name for the survey varchar 128     ??
name Survey VVVDR4 The short name for the survey varchar 128     ??
name Survey VVVDR5 The short name for the survey varchar 128     ??
name Survey VVVv20100531 The short name for the survey varchar 128     ??
name Survey VVVv20110718 The short name for the survey varchar 128     ??
name iras_asc, iras_psc IRAS Source Name varchar 11     meta.id;meta.main
name ukirtFSstars VIDEOv20100513 reference name of field varchar 16   NONE ????
name ukirtFSstars VIKINGv20110714 reference name of field varchar 16   NONE ????
name ukirtFSstars VVVv20100531 reference name of field varchar 16   NONE ????
NAME_R spectra SIXDF name of object in R frame varchar 32      
NAME_V spectra SIXDF name of object in V frame varchar 32      
naxis Multiframe ULTRAVISTADR4 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSDR1 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSDR2 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSDR3 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSDR4 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSDR5 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSDR6 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSv20120926 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSv20130417 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSv20140409 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSv20150108 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSv20160114 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSv20160507 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSv20170630 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VHSv20180419 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIDEODR2 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIDEODR3 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIDEODR4 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIDEODR5 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIDEOv20100513 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIDEOv20111208 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGDR2 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGDR3 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGDR4 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGDR5 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGv20110714 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGv20111019 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGv20130417 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGv20140402 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGv20150421 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGv20151230 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGv20160406 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGv20161202 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VIKINGv20170715 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCDR1 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCDR2 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCDR3 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCDR4 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20110816 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20110909 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20120126 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20121128 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20130304 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20130805 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20140428 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20140903 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20150309 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20151218 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20160311 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20160822 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20170109 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20170411 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20171101 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20180702 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VMCv20181120 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VVVDR1 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VVVDR2 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VVVDR4 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VVVDR5 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VVVv20100531 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis Multiframe VVVv20110718 # of axes in data array {image primary HDU keyword: NAXIS} tinyint 1   0  
naxis ultravistaMultiframe, vhsMultiframe, videoMultiframe, vikingMultiframe, vmcMultiframe, vvvMultiframe VSAQC # of axes in data array tinyint 1   0  
nb allwise_sc2 WISE Number of PSF components used simultaneously in the profile-fitting for this source. This number includes the source itself, so the minimum value of nb is "1". Nb is greater than "1" when the source is fit concurrently with other nearby detections (passive deblending), or when a single source is split into two components during the fitting process (active deblending). int 4      
nb118AperJky3 ultravistaSourceRemeasurement ULTRAVISTADR4 Default point source Nb118 aperture corrected (2.0 arcsec aperture diameter) calibrated flux
If in doubt use this flux estimator
real 4 jansky -0.9999995e9 phot.flux
nb118AperJky3Err ultravistaSourceRemeasurement ULTRAVISTADR4 Error in default point/extended source Nb118 (2.0 arcsec aperture diameter) calibrated flux real 4 jansky -0.9999995e9 stat.error
nb118AperJky4 ultravistaSourceRemeasurement ULTRAVISTADR4 Point source Nb118 aperture corrected (2.8 arcsec aperture diameter) calibrated flux real 4 jansky -0.9999995e9 phot.flux
nb118AperJky4Err ultravistaSourceRemeasurement ULTRAVISTADR4 Error in point/extended source Nb118 (2.8 arcsec aperture diameter) calibrated flux real 4 jansky -0.9999995e9 stat.error
nb118AperJky6 ultravistaSourceRemeasurement ULTRAVISTADR4 Point source Nb118 aperture corrected (5.7 arcsec aperture diameter) calibrated flux real 4 jansky -0.9999995e9 phot.flux
nb118AperJky6Err ultravistaSourceRemeasurement ULTRAVISTADR4 Error in point/extended source Nb118 (5.7 arcsec aperture diameter) calibrated flux real 4 jansky -0.9999995e9 stat.error
nb118AperJkyNoAperCorr3 ultravistaSourceRemeasurement ULTRAVISTADR4 Default extended source Nb118 (2.0 arcsec aperture diameter, but no aperture correction applied) aperture calibrated flux
If in doubt use this flux estimator
real 4 jansky -0.9999995e9 phot.flux
nb118AperJkyNoAperCorr4 ultravistaSourceRemeasurement ULTRAVISTADR4 Extended source Nb118 (2.8 arcsec aperture diameter, but no aperture correction applied) aperture calibrated flux real 4 jansky -0.9999995e9 phot.flux
nb118AperJkyNoAperCorr6 ultravistaSourceRemeasurement ULTRAVISTADR4 Extended source Nb118 (5.7 arcsec aperture diameter, but no aperture correction applied) aperture calibrated flux real 4 jansky -0.9999995e9 phot.flux
nb118AperLup3 ultravistaSourceRemeasurement ULTRAVISTADR4 Default point source Nb118 aperture corrected (2.0 arcsec aperture diameter) luptitude
If in doubt use this flux estimator
real 4 lup -0.9999995e9 phot.lup
nb118AperLup3Err ultravistaSourceRemeasurement ULTRAVISTADR4 Error in default point/extended source Nb118 (2.0 arcsec aperture diameter) luptitude real 4 lup -0.9999995e9 stat.error
nb118AperLup4 ultravistaSourceRemeasurement ULTRAVISTADR4 Point source Nb118 aperture corrected (2.8 arcsec aperture diameter) luptitude real 4 lup -0.9999995e9 phot.lup
nb118AperLup4Err ultravistaSourceRemeasurement ULTRAVISTADR4 Error in point/extended source Nb118 (2.8 arcsec aperture diameter) luptitude real 4 lup -0.9999995e9 stat.error
nb118AperLup6 ultravistaSourceRemeasurement ULTRAVISTADR4 Point source Nb118 aperture corrected (5.7 arcsec aperture diameter) luptitude real 4 lup -0.9999995e9 phot.lup
nb118AperLup6Err ultravistaSourceRemeasurement ULTRAVISTADR4 Error in point/extended source Nb118 (5.7 arcsec aperture diameter) luptitude real 4 lup -0.9999995e9 stat.error
nb118AperLupNoAperCorr3 ultravistaSourceRemeasurement ULTRAVISTADR4 Default extended source Nb118 (2.0 arcsec aperture diameter, but no aperture correction applied) aperture luptitude
If in doubt use this flux estimator
real 4 lup -0.9999995e9 phot.lup
nb118AperLupNoAperCorr4 ultravistaSourceRemeasurement ULTRAVISTADR4 Extended source Nb118 (2.8 arcsec aperture diameter, but no aperture correction applied) aperture luptitude real 4 lup -0.9999995e9 phot.lup
nb118AperLupNoAperCorr6 ultravistaSourceRemeasurement ULTRAVISTADR4 Extended source Nb118 (5.7 arcsec aperture diameter, but no aperture correction applied) aperture luptitude real 4 lup -0.9999995e9 phot.lup
nb118AperMag3 ultravistaSource ULTRAVISTADR4 Default point source Nb118 aperture corrected mag (2.0 arcsec aperture diameter)
If in doubt use this flux estimator
real 4 mag -0.9999995e9 phot.mag
nb118AperMag3 ultravistaSourceRemeasurement ULTRAVISTADR4 Default point source Nb118 aperture corrected (2.0 arcsec aperture diameter)
If in doubt use this flux estimator
real 4 mag -0.9999995e9 phot.mag
nb118AperMag3Err ultravistaSource ULTRAVISTADR4 Error in default point/extended source Nb118 mag (2.0 arcsec aperture diameter) real 4 mag -0.9999995e9 stat.error;phot.mag
nb118AperMag3Err ultravistaSourceRemeasurement ULTRAVISTADR4 Error in default point/extended source Nb118 (2.0 arcsec aperture diameter) magnitude real 4 mag -0.9999995e9 stat.error
nb118AperMag4 ultravistaSource ULTRAVISTADR4 Point source Nb118 aperture corrected mag (2.8 arcsec aperture diameter) real 4 mag -0.9999995e9 phot.mag
nb118AperMag4 ultravistaSourceRemeasurement ULTRAVISTADR4 Point source Nb118 aperture corrected (2.8 arcsec aperture diameter) real 4 mag -0.9999995e9 phot.mag
nb118AperMag4Err ultravistaSource ULTRAVISTADR4 Error in point/extended source Nb118 mag (2.8 arcsec aperture diameter) real 4 mag -0.9999995e9 stat.error;phot.mag
nb118AperMag4Err ultravistaSourceRemeasurement ULTRAVISTADR4 Error in point/extended source Nb118 (2.8 arcsec aperture diameter) magnitude real 4 mag -0.9999995e9 stat.error
nb118AperMag6 ultravistaSource ULTRAVISTADR4 Point source Nb118 aperture corrected mag (5.7 arcsec aperture diameter) real 4 mag -0.9999995e9 phot.mag
nb118AperMag6 ultravistaSourceRemeasurement ULTRAVISTADR4 Point source Nb118 aperture corrected (5.7 arcsec aperture diameter) real 4 mag -0.9999995e9 phot.mag
nb118AperMag6Err ultravistaSource ULTRAVISTADR4 Error in point/extended source Nb118 mag (5.7 arcsec aperture diameter) real 4 mag -0.9999995e9 stat.error;phot.mag
nb118AperMag6Err ultravistaSourceRemeasurement ULTRAVISTADR4 Error in point/extended source Nb118 (5.7 arcsec aperture diameter) magnitude real 4 mag -0.9999995e9 stat.error
nb118AperMagNoAperCorr3 ultravistaSource ULTRAVISTADR4 Default extended source Nb118 aperture mag (2.0 arcsec aperture diameter)
If in doubt use this flux estimator
real 4 mag -0.9999995e9 phot.mag
nb118AperMagNoAperCorr3 ultravistaSourceRemeasurement ULTRAVISTADR4 Default extended source Nb118 (2.0 arcsec aperture diameter, but no aperture correction applied) aperture magnitude
If in doubt use this flux estimator
real 4 mag -0.9999995e9 phot.mag
nb118AperMagNoAperCorr4 ultravistaSource ULTRAVISTADR4 Extended source Nb118 aperture mag (2.8 arcsec aperture diameter) real 4 mag -0.9999995e9 phot.mag
nb118AperMagNoAperCorr4 ultravistaSourceRemeasurement ULTRAVISTADR4 Extended source Nb118 (2.8 arcsec aperture diameter, but no aperture correction applied) aperture magnitude real 4 mag -0.9999995e9 phot.mag
nb118AperMagNoAperCorr6 ultravistaSource ULTRAVISTADR4 Extended source Nb118 aperture mag (5.7 arcsec aperture diameter) real 4 mag -0.9999995e9 phot.mag
nb118AperMagNoAperCorr6 ultravistaSourceRemeasurement ULTRAVISTADR4 Extended source Nb118 (5.7 arcsec aperture diameter, but no aperture correction applied) aperture magnitude real 4 mag -0.9999995e9 phot.mag
nb118aStratAst ultravistaVarFrameSetInfo ULTRAVISTADR4 Parameter, c0 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to astrometric rms vs magnitude in Nb118 band. real 4   -0.9999995e9 stat.fit.param
The best fit solution to the expected RMS position around the mean for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
nb118aStratPht ultravistaMapLcVarFrameSetInfo ULTRAVISTADR4 Strateva parameter, a, in fit to photometric rms vs magnitude in Nb118 band, see Sesar et al. 2007. real 4   -0.9999995e9 stat.fit.param
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
nb118aStratPht ultravistaVarFrameSetInfo ULTRAVISTADR4 Parameter, c0 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to photometric rms vs magnitude in Nb118 band. real 4   -0.9999995e9 stat.fit.param
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
nb118AverageConf ultravistaSourceRemeasurement ULTRAVISTADR4 average confidence in 2 arcsec diameter default aperture (aper3) Nb118 real 4   -0.9999995e9 stat.likelihood;em.IR.NIR
nb118bestAper ultravistaMapLcVariability ULTRAVISTADR4 Best aperture (1-3) for photometric statistics in the Nb118 band int 4   -9999  
Aperture magnitude (1-6) which gives the lowest RMS for the object. All apertures have the appropriate aperture correction. This can give better values in crowded regions than aperMag3 (see Irwin et al. 2007, MNRAS, 375, 1449)
nb118bestAper ultravistaVariability ULTRAVISTADR4 Best aperture (1-6) for photometric statistics in the Nb118 band int 4   -9999 meta.code.class
Aperture magnitude (1-6) which gives the lowest RMS for the object. All apertures have the appropriate aperture correction. This can give better values in crowded regions than aperMag3 (see Irwin et al. 2007, MNRAS, 375, 1449)
nb118bStratAst ultravistaVarFrameSetInfo ULTRAVISTADR4 Parameter, c1 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to astrometric rms vs magnitude in Nb118 band. real 4   -0.9999995e9 stat.fit.param
The best fit solution to the expected RMS position around the mean for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
nb118bStratPht ultravistaMapLcVarFrameSetInfo ULTRAVISTADR4 Strateva parameter, b, in fit to photometric rms vs magnitude in Nb118 band, see Sesar et al. 2007. real 4   -0.9999995e9 stat.fit.param
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
nb118bStratPht ultravistaVarFrameSetInfo ULTRAVISTADR4 Parameter, c1 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to photometric rms vs magnitude in Nb118 band. real 4   -0.9999995e9 stat.fit.param
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
nb118chiSqAst ultravistaVarFrameSetInfo ULTRAVISTADR4 Goodness of fit of Strateva function to astrometric data in Nb118 band real 4   -0.9999995e9 stat.fit.goodness
The best fit solution to the expected RMS position around the mean for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
nb118chiSqpd ultravistaMapLcVariability ULTRAVISTADR4 Chi square (per degree of freedom) fit to data (mean and expected rms) real 4   -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118chiSqpd ultravistaVariability ULTRAVISTADR4 Chi square (per degree of freedom) fit to data (mean and expected rms) real 4   -0.9999995e9 stat.fit.chi2
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118chiSqPht ultravistaMapLcVarFrameSetInfo, ultravistaVarFrameSetInfo ULTRAVISTADR4 Goodness of fit of Strateva function to photometric data in Nb118 band real 4   -0.9999995e9 stat.fit.goodness
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
nb118Class ultravistaSource, ultravistaSourceRemeasurement ULTRAVISTADR4 discrete image classification flag in Nb118 smallint 2   -9999 src.class
nb118ClassStat ultravistaSource ULTRAVISTADR4 S-Extractor classification statistic in Nb118 real 4   -0.9999995e9 stat
nb118ClassStat ultravistaSourceRemeasurement ULTRAVISTADR4 N(0,1) stellarness-of-profile statistic in Nb118 real 4   -0.9999995e9 stat
nb118cStratAst ultravistaVarFrameSetInfo ULTRAVISTADR4 Parameter, c2 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to astrometric rms vs magnitude in Nb118 band. real 4   -0.9999995e9 stat.fit.param
The best fit solution to the expected RMS position around the mean for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
nb118cStratPht ultravistaMapLcVarFrameSetInfo ULTRAVISTADR4 Strateva parameter, c, in fit to photometric rms vs magnitude in Nb118 band, see Sesar et al. 2007. real 4   -0.9999995e9 stat.fit.param
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
nb118cStratPht ultravistaVarFrameSetInfo ULTRAVISTADR4 Parameter, c2 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to photometric rms vs magnitude in Nb118 band. real 4   -0.9999995e9 stat.fit.param
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
nb118Ell ultravistaSource ULTRAVISTADR4 1-b/a, where a/b=semi-major/minor axes in Nb118 real 4   -0.9999995e9 src.ellipticity
nb118Ell ultravistaSourceRemeasurement ULTRAVISTADR4 1-b/a, where a/b=semi-major/minor axes in Nb118 real 4   -0.9999995e9 src.ellipticty
nb118eNum ultravistaMergeLog, ultravistaRemeasMergeLog ULTRAVISTADR4 the extension number of this Nb118 frame tinyint 1     meta.number
nb118ErrBits ultravistaSource ULTRAVISTADR4 processing warning/error bitwise flags in Nb118 int 4   -99999999 meta.code
This uses the FLAGS attribute in SE. The individual bit flags that this can be decomposed into are as follows:
Bit FlagMeaning
1The object has neighbours, bright enough and close enough to significantly bias the MAG_AUTO photometry or bad pixels (more than 10% of photometry affected).
2The object was originally blended with another
4At least one pixel is saturated (or very close to)
8The object is truncated (too close to an image boundary)
16Object's aperture data are incomplete or corrupted
32Object's isophotal data are imcomplete or corrupted. This is an old flag inherited from SE v1.0, and is kept for compatability reasons. It doesn't have any consequence for the extracted parameters.
64Memory overflow occurred during deblending
128Memory overflow occurred during extraction

nb118ErrBits ultravistaSourceRemeasurement ULTRAVISTADR4 processing warning/error bitwise flags in Nb118 int 4   -99999999 meta.code
Apparently not actually an error bit flag, but a count of the number of zero confidence pixels in the default (2 arcsec diameter) aperture.
nb118Eta ultravistaSource ULTRAVISTADR4 Offset of Nb118 detection from master position (+north/-south) real 4 arcsec -0.9999995e9 pos.eq.dec;arith.diff
When associating individual passband detections into merged sources, a generous (in terms of the positional uncertainties) pairing radius of 1.0 arcseconds is used. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the VHS, you might wish to insist that the offsets in the selected sample are all below 0.5 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
nb118expML ultravistaMapLcVarFrameSetInfo, ultravistaVarFrameSetInfo ULTRAVISTADR4 Expected magnitude limit of frameSet in this in Nb118 band. real 4 mag -0.9999995e9 phot.mag;stat.max
nb118ExpRms ultravistaMapLcVariability ULTRAVISTADR4 Rms calculated from polynomial fit to modal RMS as a function of magnitude in Nb118 band real 4 mag -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118ExpRms ultravistaVariability ULTRAVISTADR4 Rms calculated from polynomial fit to modal RMS as a function of magnitude in Nb118 band real 4 mag -0.9999995e9 stat.error
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118Gausig ultravistaSource, ultravistaSourceRemeasurement ULTRAVISTADR4 RMS of axes of ellipse fit in Nb118 real 4 pixels -0.9999995e9 src.morph.param
nb118HalfRad ultravistaSource ULTRAVISTADR4 SExtractor half-light radius in Nb118 band real 4 pixels -0.9999995e9 phys.angSize
nb118HlCorSMjRadAs ultravistaSource, ultravistaSourceRemeasurement ULTRAVISTADR4 Seeing corrected half-light, semi-major axis in Nb118 band real 4 arcsec -0.9999995e9 phys.angSize
nb118IntRms ultravistaMapLcVariability ULTRAVISTADR4 Intrinsic rms in Nb118-band real 4 mag -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118IntRms ultravistaVariability ULTRAVISTADR4 Intrinsic rms in Nb118-band real 4 mag -0.9999995e9 stat.error
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118isDefAst ultravistaVarFrameSetInfo ULTRAVISTADR4 Use a default model for the astrometric noise in Nb118 band. tinyint 1   0 meta.code
nb118isDefPht ultravistaMapLcVarFrameSetInfo, ultravistaVarFrameSetInfo ULTRAVISTADR4 Use a default model for the photometric noise in Nb118 band. tinyint 1   0 meta.code
nb118IsMeas ultravistaSourceRemeasurement ULTRAVISTADR4 Is pass band Nb118 measured? 0 no, 1 yes tinyint 1   0 meta.code
nb118KronJky ultravistaSourceRemeasurement ULTRAVISTADR4 Extended source Nb118 calibrated flux (Kron) real 4 jansky -0.9999995e9 phot.flux
nb118KronJkyErr ultravistaSourceRemeasurement ULTRAVISTADR4 Error in extended source Nb118 calibrated flux (Kron) real 4 janksy -0.9999995e9 stat.error
nb118KronLup ultravistaSourceRemeasurement ULTRAVISTADR4 Extended source Nb118 luptitude (Kron) real 4 lup -0.9999995e9 phot.lup
nb118KronLupErr ultravistaSourceRemeasurement ULTRAVISTADR4 Error in extended source Nb118 luptitude (Kron) real 4 lup -0.9999995e9 stat.error
nb118KronMag ultravistaSource ULTRAVISTADR4 Extended source Nb118 mag (Kron - SExtractor MAG_AUTO) real 4 mag -0.9999995e9 phot.mag
nb118KronMag ultravistaSourceRemeasurement ULTRAVISTADR4 Extended source Nb118 magnitude (Kron) real 4 mag -0.9999995e9 phot.mag
nb118KronMagErr ultravistaSource ULTRAVISTADR4 Extended source Nb118 mag error (Kron - SExtractor MAG_AUTO) real 4 mag -0.9999995e9 stat.error;phot.mag
nb118KronMagErr ultravistaSourceRemeasurement ULTRAVISTADR4 Error in extended source Nb118 magnitude (Kron) real 4 mag -0.9999995e9 stat.error
nb118MagMAD ultravistaMapLcVariability ULTRAVISTADR4 Median Absolute Deviation of Nb118 magnitude real 4 mag -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118MagMAD ultravistaVariability ULTRAVISTADR4 Median Absolute Deviation of Nb118 magnitude real 4 mag -0.9999995e9 stat.err;phot.mag
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118MagRms ultravistaMapLcVariability ULTRAVISTADR4 rms of Nb118 magnitude real 4 mag -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118MagRms ultravistaVariability ULTRAVISTADR4 rms of Nb118 magnitude real 4 mag -0.9999995e9 stat.error;phot.mag
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118maxCadence ultravistaMapLcVariability ULTRAVISTADR4 maximum gap between observations real 4 days -0.9999995e9  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118maxCadence ultravistaVariability ULTRAVISTADR4 maximum gap between observations real 4 days -0.9999995e9 time.interval;obs;stat.max
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118MaxMag ultravistaMapLcVariability ULTRAVISTADR4 Maximum magnitude in Nb118 band, of good detections real 4   -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118MaxMag ultravistaVariability ULTRAVISTADR4 Maximum magnitude in Nb118 band, of good detections real 4 mag -0.9999995e9 phot.mag;stat.max
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118meanMag ultravistaMapLcVariability ULTRAVISTADR4 Mean Nb118 magnitude real 4 mag -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118meanMag ultravistaVariability ULTRAVISTADR4 Mean Nb118 magnitude real 4 mag -0.9999995e9 phot.mag;stat.mean
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118medCadence ultravistaMapLcVariability ULTRAVISTADR4 median gap between observations real 4 days -0.9999995e9  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118medCadence ultravistaVariability ULTRAVISTADR4 median gap between observations real 4 days -0.9999995e9 time.interval;obs;stat.median
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118medianMag ultravistaMapLcVariability ULTRAVISTADR4 Median Nb118 magnitude real 4 mag -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118medianMag ultravistaVariability ULTRAVISTADR4 Median Nb118 magnitude real 4 mag -0.9999995e9 phot.mag;stat.median
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118mfID ultravistaMergeLog, ultravistaRemeasMergeLog ULTRAVISTADR4 the UID of the relevant Nb118 multiframe bigint 8     meta.id;obs.field
nb118minCadence ultravistaMapLcVariability ULTRAVISTADR4 minimum gap between observations real 4 days -0.9999995e9  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118minCadence ultravistaVariability ULTRAVISTADR4 minimum gap between observations real 4 days -0.9999995e9 time.interval;obs;stat.min
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118MinMag ultravistaMapLcVariability ULTRAVISTADR4 Minimum magnitude in Nb118 band, of good detections real 4   -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118MinMag ultravistaVariability ULTRAVISTADR4 Minimum magnitude in Nb118 band, of good detections real 4 mag -0.9999995e9 phot.mag;stat.min
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118Mjd ultravistaSource, ultravistaSourceRemeasurement ULTRAVISTADR4 Modified Julian Day in Nb118 band float 8 days -0.9999995e9 time.epoch
nb118ndof ultravistaMapLcVariability ULTRAVISTADR4 Number of degrees of freedom for chisquare smallint 2   -9999  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118ndof ultravistaVariability ULTRAVISTADR4 Number of degrees of freedom for chisquare smallint 2   -9999 stat.fit.dof
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118nDofAst ultravistaVarFrameSetInfo ULTRAVISTADR4 Number of degrees of freedom of astrometric fit in Nb118 band. smallint 2   -9999 stat.fit.dof;stat.param
The best fit solution to the expected RMS position around the mean for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
nb118nDofPht ultravistaMapLcVarFrameSetInfo, ultravistaVarFrameSetInfo ULTRAVISTADR4 Number of degrees of freedom of photometric fit in Nb118 band. smallint 2   -9999 stat.fit.dof;stat.param
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
nb118nFlaggedObs ultravistaVariability ULTRAVISTADR4 Number of detections in Nb118 band flagged as potentially spurious by ultravistaDetection.ppErrBits int 4   0 meta.number
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118nGoodObs ultravistaVariability ULTRAVISTADR4 Number of good detections in Nb118 band int 4   0 meta.number
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118Ngt3sig ultravistaMapLcVariability ULTRAVISTADR4 Number of good detections in Nb118-band that are more than 3 sigma deviations (nb118AperMagN < (nb118MeanMag-3*nb118MagRms) smallint 2   -9999  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118Ngt3sig ultravistaVariability ULTRAVISTADR4 Number of good detections in Nb118-band that are more than 3 sigma deviations (nb118AperMagN < (nb118MeanMag-3*nb118MagRms) smallint 2   -9999 meta.number
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118nMissingObs ultravistaVariability ULTRAVISTADR4 Number of Nb118 band frames that this object should have been detected on and was not int 4   0 meta.number
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118nNegFlagObs ultravistaMapLcVariability ULTRAVISTADR4 Number of flagged negative measurements in Nb118 band by ultravistaMapRemeasurement.ppErrBits int 4   0  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118nNegObs ultravistaMapLcVariability ULTRAVISTADR4 Number of unflagged negative measurements Nb118 band int 4   0  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118nPosFlagObs ultravistaMapLcVariability ULTRAVISTADR4 Number of flagged positive measurements in Nb118 band by ultravistaMapRemeasurement.ppErrBits int 4   0  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118nPosObs ultravistaMapLcVariability ULTRAVISTADR4 Number of unflagged positive measurements in Nb118 band int 4   0  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118PA ultravistaSource, ultravistaSourceRemeasurement ULTRAVISTADR4 ellipse fit celestial orientation in Nb118 real 4 Degrees -0.9999995e9 pos.posAng
nb118PetroJky ultravistaSourceRemeasurement ULTRAVISTADR4 Extended source Nb118 calibrated flux (Petrosian) real 4 jansky -0.9999995e9 phot.flux
nb118PetroJkyErr ultravistaSourceRemeasurement ULTRAVISTADR4 Error in extended source Nb118 calibrated flux (Petrosian) real 4 jansky -0.9999995e9 stat.error
nb118PetroLup ultravistaSourceRemeasurement ULTRAVISTADR4 Extended source Nb118 luptitude (Petrosian) real 4 lup -0.9999995e9 phot.lup
nb118PetroLupErr ultravistaSourceRemeasurement ULTRAVISTADR4 Error in extended source Nb118 luptitude (Petrosian) real 4 lup -0.9999995e9 stat.error
nb118PetroMag ultravistaSource ULTRAVISTADR4 Extended source Nb118 mag (Petrosian) real 4 mag -0.9999995e9 phot.mag
nb118PetroMag ultravistaSourceRemeasurement ULTRAVISTADR4 Extended source Nb118 magnitude (Petrosian) real 4 mag -0.9999995e9 phot.mag
nb118PetroMagErr ultravistaSource ULTRAVISTADR4 Error in extended source Nb118 mag (Petrosian) real 4 mag -0.9999995e9 stat.error;phot.mag
nb118PetroMagErr ultravistaSourceRemeasurement ULTRAVISTADR4 Error in extended source Nb118 magnitude (Petrosian) real 4 mag -0.9999995e9 stat.error
nb118ppErrBits ultravistaSource ULTRAVISTADR4 additional WFAU post-processing error bits in Nb118 int 4   0 meta.code
nb118ppErrBits ultravistaSourceRemeasurement ULTRAVISTADR4 additional WFAU post-processing error bits in Nb118 int 4   0 meta.code
Post-processing error quality bit flags assigned to detections in the archive curation procedure for survey data. From least to most significant byte in the 4-byte integer attribute byte 0 (bits 0 to 7) corresponds to information on generally innocuous conditions that are nonetheless potentially significant as regards the integrity of that detection; byte 1 (bits 8 to 15) corresponds to warnings; byte 2 (bits 16 to 23) corresponds to important warnings; and finally byte 3 (bits 24 to 31) corresponds to severe warnings:
ByteBitDetection quality issue Threshold or bit mask Applies to
DecimalHexadecimal
0 4 Deblended 16 0x00000010 All VDFS catalogues
0 6 Bad pixel(s) in default aperture 64 0x00000040 All VDFS catalogues
0 7 Low confidence in default aperture 128 0x00000080 All VDFS catalogues
1 12 Lies within detector 16 region of a tile 4096 0x00001000 All catalogues from tiles
2 16 Close to saturated 65536 0x00010000 All VDFS catalogues
2 17 Photometric calibration probably subject to systematic error 131072 0x00020000 VVV only
2 22 Lies within a dither offset of the stacked frame boundary 4194304 0x00400000 All catalogues
2 23 Lies within the underexposed strip (or "ear") of a tile 8388608 0x00800000 All catalogues from tiles
3 24 Lies within an underexposed region of a tile due to missing detector 16777216 0x01000000 All catalogues from tiles

In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all Ks band sources in the VHS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information.
nb118probVar ultravistaMapLcVariability ULTRAVISTADR4 Probability of variable from chi-square (and other data) real 4   -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118probVar ultravistaVariability ULTRAVISTADR4 Probability of variable from chi-square (and other data) real 4   -0.9999995e9 stat.probability
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118SeqNum ultravistaSource ULTRAVISTADR4 the running number of the Nb118 detection int 4   -99999999 meta.number
nb118skewness ultravistaMapLcVariability ULTRAVISTADR4 Skewness in Nb118 band (see Sesar et al. 2007) real 4   -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118skewness ultravistaVariability ULTRAVISTADR4 Skewness in Nb118 band (see Sesar et al. 2007) real 4 mag -0.9999995e9 stat.param
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118totalPeriod ultravistaMapLcVariability ULTRAVISTADR4 total period of observations (last obs-first obs) real 4 days -0.9999995e9  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118totalPeriod ultravistaVariability ULTRAVISTADR4 total period of observations (last obs-first obs) real 4 days -0.9999995e9 time.duration
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
nb118VarClass ultravistaMapLcVariability ULTRAVISTADR4 Classification of variability in this band smallint 2   -9999  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118VarClass ultravistaVariability ULTRAVISTADR4 Classification of variability in this band smallint 2   -9999 meta.code.class;src.var
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
nb118Xi ultravistaSource ULTRAVISTADR4 Offset of Nb118 detection from master position (+east/-west) real 4 arcsec -0.9999995e9 pos.eq.ra;arith.diff
When associating individual passband detections into merged sources, a generous (in terms of the positional uncertainties) pairing radius of 1.0 arcseconds is used. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the VHS, you might wish to insist that the offsets in the selected sample are all below 0.5 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
nbad MultiframeDetector ULTRAVISTADR4 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSDR1 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSDR2 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSDR3 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSDR4 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSDR5 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSDR6 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSv20120926 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSv20130417 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSv20140409 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSv20150108 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSv20160114 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSv20160507 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSv20170630 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VHSv20180419 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIDEODR2 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIDEODR3 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIDEODR4 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIDEODR5 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIDEOv20100513 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIDEOv20111208 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGDR2 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGDR3 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGDR4 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGDR5 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGv20110714 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGv20111019 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGv20130417 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGv20140402 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGv20150421 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGv20151230 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGv20160406 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGv20161202 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VIKINGv20170715 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCDR1 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCDR2 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCDR3 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCDR4 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20110816 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20110909 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20120126 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20121128 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20130304 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20130805 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20140428 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20140903 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20150309 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20151218 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20160311 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20160822 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20170109 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20170411 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20171101 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20180702 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VMCv20181120 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VVVDR1 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VVVDR2 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VVVDR4 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VVVDR5 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VVVv20100531 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad MultiframeDetector VVVv20110718 Number of bad pixels {image extension keyword: NBAD} int 4   -99999999  
nbad ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Number of bad pixels int 4   -99999999  
nbsize MultiframeDetector ULTRAVISTADR4 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSDR1 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSDR2 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSDR3 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSDR4 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSDR5 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSDR6 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSv20120926 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSv20130417 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSv20140409 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSv20150108 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSv20160114 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSv20160507 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSv20170630 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VHSv20180419 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIDEODR2 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIDEODR3 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIDEODR4 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIDEODR5 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIDEOv20111208 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGDR2 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGDR3 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGDR4 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGDR5 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGv20110714 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGv20111019 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGv20130417 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGv20140402 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGv20150421 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGv20151230 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGv20160406 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGv20161202 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VIKINGv20170715 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCDR1 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCDR2 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCDR3 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCDR4 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20110816 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20110909 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20120126 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20121128 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20130304 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20130805 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20140428 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20140903 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20150309 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20151218 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20160311 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20160822 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20170109 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20170411 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20171101 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20180702 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VMCv20181120 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VVVDR1 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VVVDR2 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VVVDR4 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VVVDR5 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize MultiframeDetector VVVv20110718 Smoothing box size for background {catalogue extension keyword:  NBSIZE} smallint 2   0  
nbsize ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Smoothing box size for background smallint 2   0  
nc hipparcos_new_reduction GAIADR1 Number of components int 4     meta.number
NCOMB_R spectra SIXDF number of R frames combined smallint 2      
NCOMB_V spectra SIXDF number of V frames combined smallint 2      
nCombine MultiframeDetector ULTRAVISTADR4 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSDR1 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSDR2 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSDR3 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSDR4 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSDR5 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSDR6 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSv20120926 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSv20130417 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSv20140409 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSv20150108 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSv20160114 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSv20160507 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSv20170630 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VHSv20180419 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIDEODR2 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIDEODR3 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIDEODR4 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIDEODR5 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIDEOv20111208 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGDR2 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGDR3 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGDR4 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGDR5 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGv20110714 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGv20111019 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGv20130417 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGv20140402 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGv20150421 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGv20151230 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGv20160406 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGv20161202 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VIKINGv20170715 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCDR1 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCDR2 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCDR3 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCDR4 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20110816 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20110909 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20120126 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20121128 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20130304 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20130805 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20140428 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20140903 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20150309 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20151218 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20160311 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20160822 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20170109 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20170411 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20171101 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20180702 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VMCv20181120 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VVVDR1 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VVVDR2 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VVVDR4 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VVVDR5 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine MultiframeDetector VVVv20110718 Number of images in this stack {image extension keyword: NICOMB} smallint 2   0  
nCombine ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Number of images in this stack smallint 2   0  
ndet decapsSource DECAPS Total number of detections {catalogue TType keyword: ndet} smallint 2     meta.number
ndet twomass_psc TWOMASS Frame detection statistics. varchar 6     meta.number
ndet twomass_sixx2_psc TWOMASS number of >3-sig. ap. mag measurements, # possible (jjhhkk) varchar 6      
ndet_lbs decapsSource DECAPS Number of detections {catalogue TType keyword: ndet_lbs} smallint 2   -9999 meta.number
ndet_lbs_ok decapsSource DECAPS Number of good detections {catalogue TType keyword: ndet_lbs_ok} smallint 2   -9999 meta.number
ndet_ok decapsSource DECAPS Number of good detections {catalogue TType keyword: ndet_ok} smallint 2     meta.number
nditcor MultiframeDetector ULTRAVISTADR4 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSDR1 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSDR2 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSDR3 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSDR4 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSDR5 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSDR6 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSv20120926 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSv20130417 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSv20140409 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSv20150108 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSv20160114 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSv20160507 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSv20170630 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VHSv20180419 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIDEODR2 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIDEODR3 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIDEODR4 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIDEODR5 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIDEOv20100513 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIDEOv20111208 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGDR2 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGDR3 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGDR4 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGDR5 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGv20110714 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGv20111019 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGv20130417 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGv20140402 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGv20150421 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGv20151230 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGv20160406 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGv20161202 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VIKINGv20170715 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCDR1 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCDR2 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCDR3 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCDR4 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20110816 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20110909 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20120126 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20121128 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20130304 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20130805 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20140428 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20140903 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20150309 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20151218 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20160311 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20160822 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20170109 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20170411 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20171101 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20180702 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VMCv20181120 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VVVDR1 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VVVDR2 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VVVDR4 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VVVDR5 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VVVv20100531 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor MultiframeDetector VVVv20110718 Corrected to ndit=1 {image extension keyword: NDITCOR} tinyint 1   0  
nditcor ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Corrected to ndit=1 tinyint 1   0  
NED_CLASS mgcBrightSpec MGC MGC translation of NED_IDENT smallint 2      
NED_DEC mgcBrightSpec MGC NED object declination in deg (J2000) float 8      
NED_IDENT mgcBrightSpec MGC NED identification varchar 4      
NED_N mgcBrightSpec MGC Number of NED objects matched to this MGC object smallint 2      
NED_NAME mgcBrightSpec MGC NED object name varchar 32      
NED_RA mgcBrightSpec MGC NED object right ascension in deg (J2000) float 8      
NED_ZHELIO mgcBrightSpec MGC NED heliocentric redshift real 4      
NED_ZQUAL mgcBrightSpec MGC NED redshift quality tinyint 1      
neighboursSchema Programme ULTRAVISTADR4 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSDR1 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSDR2 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSDR3 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSDR4 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSDR5 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSDR6 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSv20120926 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSv20130417 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSv20150108 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSv20160114 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSv20160507 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSv20170630 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VHSv20180419 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIDEODR2 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIDEODR3 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIDEODR4 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIDEODR5 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIDEOv20100513 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIDEOv20111208 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIKINGDR2 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIKINGDR3 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIKINGDR4 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIKINGDR5 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIKINGv20110714 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIKINGv20111019 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIKINGv20130417 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIKINGv20150421 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIKINGv20151230 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIKINGv20160406 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIKINGv20161202 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VIKINGv20170715 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCDR1 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCDR3 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCDR4 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20110816 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20110909 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20120126 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20121128 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20130304 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20130805 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20140428 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20140903 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20150309 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20151218 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20160311 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20160822 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20170109 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20170411 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20171101 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20180702 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VMCv20181120 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VSAQC Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VVVDR1 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VVVDR2 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VVVDR4 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VVVDR5 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VVVv20100531 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighboursSchema Programme VVVv20110718 Script file that describes the neighbour tables schema for this programme varchar 64     ??
neighbourTable RequiredNeighbours ULTRAVISTADR4 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSDR1 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSDR2 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSDR3 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSDR4 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSDR5 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSDR6 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSv20120926 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSv20130417 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSv20150108 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSv20160114 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSv20160507 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSv20170630 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VHSv20180419 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIDEODR2 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIDEODR3 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIDEODR4 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIDEODR5 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIDEOv20100513 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIDEOv20111208 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIKINGDR2 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIKINGDR3 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIKINGDR4 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIKINGDR5 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIKINGv20110714 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIKINGv20111019 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIKINGv20130417 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIKINGv20150421 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIKINGv20151230 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIKINGv20160406 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIKINGv20161202 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VIKINGv20170715 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCDR1 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCDR3 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCDR4 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20110816 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20110909 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20120126 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20121128 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20130304 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20130805 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20140428 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20140903 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20150309 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20151218 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20160311 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20160822 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20170109 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20170411 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20171101 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20180702 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VMCv20181120 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VSAQC the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VVVDR1 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VVVDR2 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VVVDR4 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VVVDR5 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VVVv20100531 the name of the neighbour join table varchar 256     meta.id;meta.dataset
neighbourTable RequiredNeighbours VVVv20110718 the name of the neighbour join table varchar 256     meta.id;meta.dataset
nEpochs RequiredMapAverages ULTRAVISTADR4 Number of frames to average over int 4   -99999999  
nEpochs RequiredMapAverages VVVDR5 Number of frames to average over int 4   -99999999  
nEpochs vmcEclipsingBinaryVariables VMCDR4 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS} int 4     meta.number
nEpochs vmcEclipsingBinaryVariables VMCv20140903 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS} int 4     meta.number
nEpochs vmcEclipsingBinaryVariables VMCv20150309 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS} int 4     meta.number
nEpochs vmcEclipsingBinaryVariables VMCv20151218 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS} int 4     meta.number
nEpochs vmcEclipsingBinaryVariables VMCv20160311 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS} int 4     meta.number
nEpochs vmcEclipsingBinaryVariables VMCv20160822 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS} int 4     meta.number
nEpochs vmcEclipsingBinaryVariables VMCv20170109 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS} int 4     meta.number
nEpochs vmcEclipsingBinaryVariables VMCv20170411 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS} int 4     meta.number
nEpochs vmcEclipsingBinaryVariables VMCv20171101 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS} int 4     meta.number
nEpochs vmcEclipsingBinaryVariables VMCv20180702 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS} int 4     meta.number
nEpochs vmcEclipsingBinaryVariables VMCv20181120 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS} int 4     meta.number
newFrameSet ultravistaMergeLog, ultravistaRemeasMergeLog, ultravistaTileSet ULTRAVISTADR4 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSDR2 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSDR3 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSDR4 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSDR5 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSDR6 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSv20120926 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSv20130417 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSv20140409 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSv20150108 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSv20160114 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSv20160507 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSv20170630 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog VHSv20180419 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vhsMergeLog, vhsTileSet VHSDR1 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet videoMergeLog VIDEODR3 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet videoMergeLog VIDEODR4 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet videoMergeLog VIDEODR5 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet videoMergeLog VIDEOv20100513 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet videoMergeLog VIDEOv20111208 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet videoMergeLog, videoTileSet VIDEODR2 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog VIKINGDR3 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog VIKINGDR4 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog VIKINGDR5 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog VIKINGv20110714 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog VIKINGv20111019 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog VIKINGv20130417 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog VIKINGv20140402 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog VIKINGv20150421 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog VIKINGv20151230 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog VIKINGv20160406 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog VIKINGv20161202 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog VIKINGv20170715 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingMergeLog, vikingTileSet VIKINGDR2 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingZY_selJ_RemeasMergeLog VIKINGZYSELJv20160909 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vikingZY_selJ_RemeasMergeLog VIKINGZYSELJv20170124 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCDR2 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCDR3 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCDR4 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20110816 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20110909 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20120126 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20121128 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20130304 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20130805 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20140428 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20140903 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20150309 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20151218 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20160311 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20160822 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20170109 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20170411 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20171101 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20180702 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog VMCv20181120 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vmcMergeLog, vmcSynopticMergeLog, vmcTileSet VMCDR1 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vvvMergeLog VVVDR2 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vvvMergeLog VVVDR5 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vvvMergeLog VVVv20100531 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vvvMergeLog VVVv20110718 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vvvMergeLog, vvvPsfDophotZYJHKsMergeLog VVVDR4 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vvvMergeLog, vvvSynopticMergeLog, vvvTileSet VVVDR1 Flag used internally by curation applications tinyint 1     meta.code
newFrameSet vvvPsfDaophotJKsMergeLog VVVDR4 Flag used internally by curation applications tinyint 1   1 meta.code
newFrameSet vvvPsfDaophotJKsMergeLog VVVDR5 Flag used internally by curation applications tinyint 1   1 meta.code
newH_1frame vvvMergeLog VVVDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newH_1frame vvvPsfDophotZYJHKsMergeLog VVVDR4 new/old flag (1/0) of this 1st Epoch H detector image tinyint 1     meta.code;em.IR.H
newH_1frame vvvPsfDophotZYJHKsMergeLog VVVDR5 new/old flag (1/0) of this 1st Epoch H detector image tinyint 1     meta.code;em.IR.H
newH_2frame vvvMergeLog VVVDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newH_2frame vvvPsfDophotZYJHKsMergeLog VVVDR4 new/old flag (1/0) of this 2nd Epoch H detector image tinyint 1     meta.code;em.IR.H
newH_2frame vvvPsfDophotZYJHKsMergeLog VVVDR5 new/old flag (1/0) of this 2nd Epoch H detector image tinyint 1     meta.code;em.IR.H
newHframe ultravistaMergeLog, ultravistaRemeasMergeLog ULTRAVISTADR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vhsMergeLog VHSDR1 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vhsMergeLog VHSDR2 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vhsMergeLog VHSDR3 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vhsMergeLog VHSDR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vhsMergeLog VHSDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vhsMergeLog VHSDR6 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vhsMergeLog VHSv20120926 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vhsMergeLog VHSv20130417 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vhsMergeLog VHSv20140409 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vhsMergeLog VHSv20150108 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vhsMergeLog VHSv20160114 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vhsMergeLog VHSv20160507 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vhsMergeLog VHSv20170630 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vhsMergeLog VHSv20180419 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe videoMergeLog VIDEODR2 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe videoMergeLog VIDEODR3 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe videoMergeLog VIDEODR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe videoMergeLog VIDEODR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe videoMergeLog VIDEOv20100513 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe videoMergeLog VIDEOv20111208 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vikingMergeLog VIKINGDR2 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vikingMergeLog VIKINGDR3 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vikingMergeLog VIKINGDR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vikingMergeLog VIKINGDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vikingMergeLog VIKINGv20110714 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vikingMergeLog VIKINGv20111019 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vikingMergeLog VIKINGv20130417 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vikingMergeLog VIKINGv20140402 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vikingMergeLog VIKINGv20150421 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vikingMergeLog VIKINGv20151230 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vikingMergeLog VIKINGv20160406 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vikingMergeLog VIKINGv20161202 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vikingMergeLog VIKINGv20170715 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vikingZY_selJ_RemeasMergeLog VIKINGZYSELJv20160909 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vikingZY_selJ_RemeasMergeLog VIKINGZYSELJv20170124 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vvvMergeLog VVVDR2 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vvvMergeLog VVVDR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vvvMergeLog VVVDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.H
newHframe vvvMergeLog VVVv20100531 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vvvMergeLog VVVv20110718 new/old flag (1/0) of this detector image tinyint 1     meta.code
newHframe vvvMergeLog, vvvSynopticMergeLog VVVDR1 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJ_1frame vikingMergeLog VIKINGDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJ_1frame vikingMergeLog VIKINGv20151230 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJ_1frame vikingMergeLog VIKINGv20160406 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJ_1frame vikingMergeLog VIKINGv20161202 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJ_1frame vikingMergeLog VIKINGv20170715 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJ_1frame vvvMergeLog VVVDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJ_1frame vvvPsfDophotZYJHKsMergeLog VVVDR4 new/old flag (1/0) of this 1st Epoch J detector image tinyint 1     meta.code;em.IR.J
newJ_1frame vvvPsfDophotZYJHKsMergeLog VVVDR5 new/old flag (1/0) of this 1st Epoch J detector image tinyint 1     meta.code;em.IR.J
newJ_2frame vikingMergeLog VIKINGDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJ_2frame vikingMergeLog VIKINGv20151230 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJ_2frame vikingMergeLog VIKINGv20160406 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJ_2frame vikingMergeLog VIKINGv20161202 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJ_2frame vikingMergeLog VIKINGv20170715 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJ_2frame vvvMergeLog VVVDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJ_2frame vvvPsfDophotZYJHKsMergeLog VVVDR4 new/old flag (1/0) of this 2nd Epoch J detector image tinyint 1     meta.code;em.IR.J
newJ_2frame vvvPsfDophotZYJHKsMergeLog VVVDR5 new/old flag (1/0) of this 2nd Epoch J detector image tinyint 1     meta.code;em.IR.J
newJframe ultravistaMergeLog, ultravistaRemeasMergeLog ULTRAVISTADR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vhsMergeLog VHSDR1 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vhsMergeLog VHSDR2 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vhsMergeLog VHSDR3 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vhsMergeLog VHSDR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vhsMergeLog VHSDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vhsMergeLog VHSDR6 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vhsMergeLog VHSv20120926 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vhsMergeLog VHSv20130417 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vhsMergeLog VHSv20140409 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vhsMergeLog VHSv20150108 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vhsMergeLog VHSv20160114 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vhsMergeLog VHSv20160507 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vhsMergeLog VHSv20170630 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vhsMergeLog VHSv20180419 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe videoMergeLog VIDEODR2 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe videoMergeLog VIDEODR3 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe videoMergeLog VIDEODR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe videoMergeLog VIDEODR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe videoMergeLog VIDEOv20100513 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe videoMergeLog VIDEOv20111208 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vikingMergeLog VIKINGDR2 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vikingMergeLog VIKINGDR3 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vikingMergeLog VIKINGDR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vikingMergeLog VIKINGDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vikingMergeLog VIKINGv20110714 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vikingMergeLog VIKINGv20111019 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vikingMergeLog VIKINGv20130417 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vikingMergeLog VIKINGv20140402 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vikingMergeLog VIKINGv20150421 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vikingMergeLog VIKINGv20151230 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vikingMergeLog VIKINGv20160406 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vikingMergeLog VIKINGv20161202 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vikingMergeLog VIKINGv20170715 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vikingZY_selJ_RemeasMergeLog VIKINGZYSELJv20160909 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vikingZY_selJ_RemeasMergeLog VIKINGZYSELJv20170124 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vmcMergeLog VMCDR2 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vmcMergeLog VMCDR3 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vmcMergeLog VMCDR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.J
newJframe vmcMergeLog VMCv20110816 new/old flag (1/0) of this detector image tinyint 1     meta.code
newJframe vmcMergeLog VMCv20110909 new/old flag (1/0) of this detector image tinyint 1     meta.code
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newYframe vmcMergeLog VMCv20121128 new/old flag (1/0) of this detector image tinyint 1     meta.code
newYframe vmcMergeLog VMCv20130304 new/old flag (1/0) of this detector image tinyint 1     meta.code
newYframe vmcMergeLog VMCv20130805 new/old flag (1/0) of this detector image tinyint 1     meta.code
newYframe vmcMergeLog VMCv20140428 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.NIR
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newYframe vmcMergeLog VMCv20150309 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.NIR
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newYframe vmcMergeLog VMCv20160311 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.NIR
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newYframe vmcMergeLog VMCv20170109 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.NIR
newYframe vmcMergeLog VMCv20170411 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.NIR
newYframe vmcMergeLog VMCv20171101 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.NIR
newYframe vmcMergeLog VMCv20180702 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.NIR
newYframe vmcMergeLog VMCv20181120 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.NIR
newYframe vmcMergeLog, vmcSynopticMergeLog VMCDR1 new/old flag (1/0) of this detector image tinyint 1     meta.code
newYframe vvvMergeLog VVVDR2 new/old flag (1/0) of this detector image tinyint 1     meta.code
newYframe vvvMergeLog VVVDR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.NIR
newYframe vvvMergeLog VVVDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.IR.NIR
newYframe vvvMergeLog VVVv20100531 new/old flag (1/0) of this detector image tinyint 1     meta.code
newYframe vvvMergeLog VVVv20110718 new/old flag (1/0) of this detector image tinyint 1     meta.code
newYframe vvvMergeLog, vvvSynopticMergeLog VVVDR1 new/old flag (1/0) of this detector image tinyint 1     meta.code
newZ_1frame vvvMergeLog VVVDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.opt.I
newZ_1frame vvvPsfDophotZYJHKsMergeLog VVVDR4 new/old flag (1/0) of this 1st Epoch Z detector image tinyint 1     meta.code;em.opt.I
newZ_1frame vvvPsfDophotZYJHKsMergeLog VVVDR5 new/old flag (1/0) of this 1st Epoch Z detector image tinyint 1     meta.code;em.opt.I
newZ_2frame vvvMergeLog VVVDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.opt.I
newZ_2frame vvvPsfDophotZYJHKsMergeLog VVVDR4 new/old flag (1/0) of this 2nd Epoch Z detector image tinyint 1     meta.code;em.opt.I
newZ_2frame vvvPsfDophotZYJHKsMergeLog VVVDR5 new/old flag (1/0) of this 2nd Epoch Z detector image tinyint 1     meta.code;em.opt.I
newZframe videoMergeLog VIDEODR2 new/old flag (1/0) of this detector image tinyint 1     meta.code
newZframe videoMergeLog VIDEODR3 new/old flag (1/0) of this detector image tinyint 1     meta.code
newZframe videoMergeLog VIDEODR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.opt.I
newZframe videoMergeLog VIDEODR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.opt.I
newZframe videoMergeLog VIDEOv20100513 new/old flag (1/0) of this detector image tinyint 1     meta.code
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newZframe vikingMergeLog VIKINGDR2 new/old flag (1/0) of this detector image tinyint 1     meta.code
newZframe vikingMergeLog VIKINGDR3 new/old flag (1/0) of this detector image tinyint 1     meta.code
newZframe vikingMergeLog VIKINGDR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.opt.I
newZframe vikingMergeLog VIKINGDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.opt.I
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newZframe vikingMergeLog VIKINGv20111019 new/old flag (1/0) of this detector image tinyint 1     meta.code
newZframe vikingMergeLog VIKINGv20130417 new/old flag (1/0) of this detector image tinyint 1     meta.code
newZframe vikingMergeLog VIKINGv20140402 new/old flag (1/0) of this detector image tinyint 1     meta.code
newZframe vikingMergeLog VIKINGv20150421 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.opt.I
newZframe vikingMergeLog VIKINGv20151230 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.opt.I
newZframe vikingMergeLog VIKINGv20160406 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.opt.I
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newZframe vikingMergeLog VIKINGv20170715 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.opt.I
newZframe vikingZY_selJ_RemeasMergeLog VIKINGZYSELJv20160909 new/old flag (1/0) of this detector image tinyint 1     meta.code
newZframe vikingZY_selJ_RemeasMergeLog VIKINGZYSELJv20170124 new/old flag (1/0) of this detector image tinyint 1     meta.code
newZframe vvvMergeLog VVVDR2 new/old flag (1/0) of this detector image tinyint 1     meta.code
newZframe vvvMergeLog VVVDR4 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.opt.I
newZframe vvvMergeLog VVVDR5 new/old flag (1/0) of this detector image tinyint 1     meta.code;em.opt.I
newZframe vvvMergeLog VVVv20100531 new/old flag (1/0) of this detector image tinyint 1     meta.code
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newZframe vvvMergeLog, vvvSynopticMergeLog VVVDR1 new/old flag (1/0) of this detector image tinyint 1     meta.code
nFlag rosat_bsc, rosat_fsc ROSAT nearby sources affecting SASS flux determination varchar 1     meta.code
nFrames ultravistaVariability ULTRAVISTADR4 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames videoVariability VIDEODR2 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames videoVariability VIDEODR3 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames videoVariability VIDEODR4 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames videoVariability VIDEODR5 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames videoVariability VIDEOv20100513 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames videoVariability VIDEOv20111208 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGDR2 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGDR3 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGDR4 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGDR5 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGv20110714 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGv20111019 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGv20130417 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGv20140402 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGv20150421 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGv20151230 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGv20160406 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGv20161202 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vikingVariability VIKINGv20170715 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCDR1 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCDR2 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCDR3 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCDR4 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20110816 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20110909 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20120126 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20121128 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20130304 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20130805 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20140428 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20140903 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20150309 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20151218 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20160311 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20160822 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20170109 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20170411 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20171101 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20180702 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vmcVariability VMCv20181120 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vvvVariability VVVDR1 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vvvVariability VVVDR2 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vvvVariability VVVDR4 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vvvVariability VVVDR5 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vvvVariability VVVv20100531 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
nFrames vvvVariability VVVv20110718 Number of frames with good detections used to calculate astrometric fits int 4   0 meta.number
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
NGOOD spectra SIXDF number of good emission lines int 4      
ngrp allwise_sc2 WISE Excess number of positionally associated duplicate resolution groups in which this extractions was included. Values of ngrp>0 indicate that the source was associated with more than one possible group. CAUTION: In the All-Sky Release Catalog and 3-Band Cryo Source Working Database, this column indicated the total number of groups with which a source was associated. In the AllWISE Catalog and Reject Table, ngrp is the total number of groups minus one. smallint 2      
nhcon iras_psc IRAS Number of times observed (<25) tinyint 1     meta.number
Ni ravedr5Source RAVE [Ni/H] abundance of Ni real 4 dex   phys.abund.Z
Ni_N ravedr5Source RAVE Number of used spectral lines in calc. of [Ni/H] smallint 2     meta.number
nId iras_psc IRAS Number of positional associations (<25). tinyint 1     meta.number
night_key twomass_xsc TWOMASS key to night data record in "scan DB". smallint 2     meta.id
nightZPCat MultiframeDetector ULTRAVISTADR4 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSDR1 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSDR2 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSDR3 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSDR4 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSDR5 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSDR6 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSv20120926 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSv20130417 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSv20140409 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSv20150108 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSv20160114 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSv20160507 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSv20170630 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VHSv20180419 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIDEODR2 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIDEODR3 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIDEODR4 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIDEODR5 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIDEOv20100513 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIDEOv20111208 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGDR2 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGDR3 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGDR4 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGDR5 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGv20110714 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGv20111019 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGv20130417 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGv20140402 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGv20150421 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGv20151230 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGv20160406 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGv20161202 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VIKINGv20170715 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCDR1 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCDR2 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCDR3 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCDR4 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20110816 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20110909 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20120126 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20121128 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20130304 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20130805 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20140428 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20140903 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20150309 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20151218 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20160311 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20160822 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20170109 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20170411 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20171101 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20180702 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VMCv20181120 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VVVDR1 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VVVDR2 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VVVDR4 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VVVDR5 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VVVv20100531 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat MultiframeDetector VVVv20110718 Average photometric zero point for night {catalogue extension keyword:  NIGHTZPT} real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP ULTRAVISTADR4 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSDR1 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSDR2 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSDR3 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSDR4 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSDR5 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSDR6 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSv20120926 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSv20130417 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSv20140409 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSv20150108 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSv20160114 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSv20160507 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSv20170630 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VHSv20180419 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIDEODR2 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIDEODR3 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIDEODR4 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIDEODR5 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIDEOv20100513 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIDEOv20111208 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGDR2 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGDR3 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGDR4 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGDR5 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGv20110714 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGv20111019 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGv20130417 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGv20140402 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGv20150421 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGv20151230 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGv20160406 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGv20161202 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VIKINGv20170715 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCDR1 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCDR2 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCDR3 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCDR4 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20110816 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20110909 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20120126 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20121128 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20130304 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20130805 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20140428 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20140903 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20150309 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20151218 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20160311 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20160822 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20170109 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20170411 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20171101 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20180702 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VMCv20181120 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VVVDR1 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VVVDR2 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VVVDR4 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VVVDR5 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VVVv20100531 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat PreviousMFDZP VVVv20110718 Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPCat ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Average photometric zero point for night real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector ULTRAVISTADR4 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSDR1 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSDR2 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSDR3 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSDR4 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSDR5 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSDR6 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSv20120926 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSv20130417 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSv20140409 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSv20150108 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSv20160114 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSv20160507 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSv20170630 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VHSv20180419 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIDEODR2 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIDEODR3 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIDEODR4 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIDEODR5 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIDEOv20100513 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIDEOv20111208 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGDR2 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGDR3 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGDR4 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGDR5 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGv20110714 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGv20111019 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGv20130417 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGv20140402 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGv20150421 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGv20151230 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGv20160406 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGv20161202 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VIKINGv20170715 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCDR1 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCDR2 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCDR3 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCDR4 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20110816 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20110909 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20120126 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20121128 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20130304 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20130805 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20140428 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20140903 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20150309 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20151218 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20160311 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20160822 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20170109 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20170411 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20171101 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20180702 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VMCv20181120 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VVVDR1 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VVVDR2 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VVVDR4 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VVVDR5 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VVVv20100531 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat MultiframeDetector VVVv20110718 Photometric zero point sigma for night {catalogue extension keyword:  NIGHTZRR}
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP ULTRAVISTADR4 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSDR1 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSDR2 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSDR3 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSDR4 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSDR5 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSDR6 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSv20120926 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSv20130417 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSv20140409 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSv20150108 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSv20160114 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSv20160507 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSv20170630 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VHSv20180419 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIDEODR2 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIDEODR3 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIDEODR4 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIDEODR5 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIDEOv20100513 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIDEOv20111208 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGDR2 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGDR3 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGDR4 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGDR5 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGv20110714 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGv20111019 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGv20130417 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGv20140402 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGv20150421 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGv20151230 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGv20160406 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGv20161202 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VIKINGv20170715 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCDR1 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCDR2 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCDR3 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCDR4 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20110816 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20110909 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20120126 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20121128 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20130304 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20130805 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20140428 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20140903 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20150309 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20151218 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20160311 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20160822 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20170109 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20170411 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20171101 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20180702 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VMCv20181120 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VVVDR1 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VVVDR2 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VVVDR4 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VVVDR5 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VVVv20100531 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat PreviousMFDZP VVVv20110718 Photometric zero point sigma for night
<0.05 mags for a good night
real 4 mags -0.9999995e9 ??
nightZPErrCat ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Photometric zero point sigma for night real 4 mags -0.9999995e9 ??
nightZPNum MultiframeDetector ULTRAVISTADR4 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSDR1 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSDR2 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSDR3 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSDR4 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSDR5 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSDR6 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSv20120926 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSv20130417 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSv20140409 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSv20150108 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSv20160114 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSv20160507 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSv20170630 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VHSv20180419 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIDEODR2 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIDEODR3 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIDEODR4 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIDEODR5 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIDEOv20100513 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIDEOv20111208 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGDR2 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGDR3 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGDR4 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGDR5 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGv20110714 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGv20111019 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGv20130417 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGv20140402 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGv20150421 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGv20151230 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGv20160406 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGv20161202 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VIKINGv20170715 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCDR1 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCDR2 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCDR3 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCDR4 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20110816 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20110909 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20120126 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20121128 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20130304 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20130805 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20140428 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20140903 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20150309 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20151218 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20160311 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20160822 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20170109 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20170411 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20171101 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20180702 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VMCv20181120 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VVVDR1 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VVVDR2 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VVVDR4 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VVVDR5 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VVVv20100531 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum MultiframeDetector VVVv20110718 Number of ZP in band used to calculate nightZPCat {catalogue extension keyword:  NIGHTNUM} int 4 mags -99999999 ??
nightZPNum PreviousMFDZP ULTRAVISTADR4 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSDR1 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSDR2 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSDR3 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSDR4 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSDR5 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSDR6 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSv20120926 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSv20130417 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSv20140409 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSv20150108 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSv20160114 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSv20160507 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSv20170630 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VHSv20180419 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIDEODR2 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIDEODR3 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIDEODR4 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIDEODR5 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIDEOv20100513 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIDEOv20111208 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGDR2 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGDR3 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGDR4 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGDR5 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGv20110714 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGv20111019 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGv20130417 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGv20140402 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGv20150421 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGv20151230 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGv20160406 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGv20161202 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VIKINGv20170715 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCDR1 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCDR2 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCDR3 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCDR4 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20110816 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20110909 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20120126 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20121128 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20130304 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20130805 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20140428 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20140903 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20150309 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20151218 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20160311 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20160822 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20170109 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20170411 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20171101 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20180702 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VMCv20181120 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VVVDR1 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VVVDR2 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VVVDR4 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VVVDR5 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VVVv20100531 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum PreviousMFDZP VVVv20110718 Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nightZPNum ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Number of ZP in band used to calculate nightZPCat int 4 mags -99999999 ??
nInFrameset ultravistaMapRemeasAver ULTRAVISTADR4 Number of frames in the frameSet linked in MapProvenance int 4      
nJ vmcPsfCatalogue VMCDR3 Number of stars used to calculate the completeness in J {catalogue TType keyword: nJ} int 4   -99999999  
nJ vmcPsfCatalogue VMCDR4 Number of stars used to calculate the completeness in J {catalogue TType keyword: nJ} int 4   -99999999 meta.number;em.IR.J
nJ vmcPsfCatalogue VMCv20140903 Number of stars used to calculate the completeness in J {catalogue TType keyword: nJ} int 4   -99999999 meta.number;em.IR.J
nJ vmcPsfCatalogue VMCv20150309 Number of stars used to calculate the completeness in J {catalogue TType keyword: nJ} int 4   -99999999 meta.number;em.IR.J
nJ vmcPsfCatalogue VMCv20151218 Number of stars used to calculate the completeness in J {catalogue TType keyword: nJ} int 4   -99999999 meta.number;em.IR.J
nJ vmcPsfCatalogue VMCv20160311 Number of stars used to calculate the completeness in J {catalogue TType keyword: nJ} int 4   -99999999 meta.number;em.IR.J
nJ vmcPsfCatalogue VMCv20160822 Number of stars used to calculate the completeness in J {catalogue TType keyword: nJ} int 4   -99999999 meta.number;em.IR.J
nJ vmcPsfCatalogue VMCv20170109 Number of stars used to calculate the completeness in J {catalogue TType keyword: nJ} int 4   -99999999 meta.number;em.IR.J
nJ vmcPsfCatalogue VMCv20170411 Number of stars used to calculate the completeness in J {catalogue TType keyword: nJ} int 4   -99999999 meta.number;em.IR.J
nJ vmcPsfCatalogue VMCv20171101 Number of stars used to calculate the completeness in J {catalogue TType keyword: nJ} int 4   -99999999 meta.number;em.IR.J
nJ vmcPsfSource VMCv20180702 Number of stars used to calculate the completeness in J int 4   -99999999 meta.number;em.IR.J
nJ vmcPsfSource VMCv20181120 Number of stars used to calculate the completeness in J int 4   -99999999 meta.number;em.IR.J
njitter Multiframe ULTRAVISTADR4 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSDR1 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSDR2 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSDR3 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSDR4 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSDR5 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSDR6 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSv20120926 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSv20130417 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSv20140409 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSv20150108 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSv20160114 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSv20160507 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSv20170630 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VHSv20180419 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIDEODR2 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIDEODR3 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIDEODR4 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIDEODR5 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIDEOv20100513 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIDEOv20111208 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGDR2 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGDR3 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGDR4 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGDR5 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGv20110714 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGv20111019 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGv20130417 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGv20140402 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGv20150421 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGv20151230 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGv20160406 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGv20161202 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VIKINGv20170715 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCDR1 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCDR2 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCDR3 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCDR4 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20110816 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20110909 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20120126 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20121128 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20130304 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20130805 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20140428 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20140903 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20150309 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20151218 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20160311 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20160822 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20170109 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20170411 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20171101 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20180702 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VMCv20181120 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VVVDR1 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VVVDR2 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VVVDR4 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VVVDR5 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VVVv20100531 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter Multiframe VVVv20110718 Number of jitter positions {image primary HDU keyword: NJITTER} smallint 2   -9999  
njitter ultravistaMultiframe, vhsMultiframe, videoMultiframe, vikingMultiframe, vmcMultiframe, vvvMultiframe VSAQC Number of jitter positions smallint 2   -9999  
nKs vmcPsfCatalogue VMCDR3 Number of stars used to calculate the completeness in Ks {catalogue TType keyword: nKs} int 4   -99999999  
nKs vmcPsfCatalogue VMCDR4 Number of stars used to calculate the completeness in Ks {catalogue TType keyword: nKs} int 4   -99999999 meta.number;em.IR.K
nKs vmcPsfCatalogue VMCv20140903 Number of stars used to calculate the completeness in Ks {catalogue TType keyword: nKs} int 4   -99999999 meta.number;em.IR.K
nKs vmcPsfCatalogue VMCv20150309 Number of stars used to calculate the completeness in Ks {catalogue TType keyword: nKs} int 4   -99999999 meta.number;em.IR.K
nKs vmcPsfCatalogue VMCv20151218 Number of stars used to calculate the completeness in Ks {catalogue TType keyword: nKs} int 4   -99999999 meta.number;em.IR.K
nKs vmcPsfCatalogue VMCv20160311 Number of stars used to calculate the completeness in Ks {catalogue TType keyword: nKs} int 4   -99999999 meta.number;em.IR.K
nKs vmcPsfCatalogue VMCv20160822 Number of stars used to calculate the completeness in Ks {catalogue TType keyword: nKs} int 4   -99999999 meta.number;em.IR.K
nKs vmcPsfCatalogue VMCv20170109 Number of stars used to calculate the completeness in Ks {catalogue TType keyword: nKs} int 4   -99999999 meta.number;em.IR.K
nKs vmcPsfCatalogue VMCv20170411 Number of stars used to calculate the completeness in Ks {catalogue TType keyword: nKs} int 4   -99999999 meta.number;em.IR.K
nKs vmcPsfCatalogue VMCv20171101 Number of stars used to calculate the completeness in Ks {catalogue TType keyword: nKs} int 4   -99999999 meta.number;em.IR.K
nKs vmcPsfSource VMCv20180702 Number of stars used to calculate the completeness in Ks int 4   -99999999 meta.number;em.IR.K
nKs vmcPsfSource VMCv20181120 Number of stars used to calculate the completeness in Ks int 4   -99999999 meta.number;em.IR.K
nKsEpochs vmcRRlyraeVariables VMCDR4 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS_KS} int 4     meta.number
nKsEpochs vmcRRlyraeVariables VMCv20160822 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS_KS} int 4     meta.number
nKsEpochs vmcRRlyraeVariables VMCv20170109 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS_KS} int 4     meta.number
nKsEpochs vmcRRlyraeVariables VMCv20170411 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS_KS} int 4     meta.number
nKsEpochs vmcRRlyraeVariables VMCv20171101 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS_KS} int 4     meta.number
nKsEpochs vmcRRlyraeVariables VMCv20180702 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS_KS} int 4     meta.number
nKsEpochs vmcRRlyraeVariables VMCv20181120 Number of epochs in the Ks-band {catalogue TType keyword: N_EPOCHS_KS} int 4     meta.number
nLrs iras_psc IRAS Number of significant LRS spectra tinyint 1     meta.number
NMBEST spectra SIXDF emission lines for emission z int 4      
nMeasurements ultravistaMapRemeasAver ULTRAVISTADR4 Number used in average. int 4      
noffsets Multiframe ULTRAVISTADR4 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSDR1 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSDR2 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSDR3 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSDR4 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSDR5 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSDR6 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSv20120926 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSv20130417 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSv20140409 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSv20150108 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSv20160114 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSv20160507 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSv20170630 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VHSv20180419 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIDEODR2 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIDEODR3 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIDEODR4 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIDEODR5 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIDEOv20100513 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIDEOv20111208 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGDR2 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGDR3 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGDR4 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGDR5 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGv20110714 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGv20111019 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGv20130417 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGv20140402 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGv20150421 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGv20151230 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGv20160406 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGv20161202 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VIKINGv20170715 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCDR1 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCDR2 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCDR3 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCDR4 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20110816 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20110909 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20120126 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20121128 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20130304 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20130805 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20140428 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20140903 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20150309 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20151218 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20160311 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20160822 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20170109 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20170411 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20171101 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20180702 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VMCv20181120 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VVVDR1 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VVVDR2 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VVVDR4 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VVVDR5 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VVVv20100531 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets Multiframe VVVv20110718 Number of offset positions {image primary HDU keyword: NOFFSETS} smallint 2   -9999  
noffsets ultravistaMultiframe, vhsMultiframe, videoMultiframe, vikingMultiframe, vmcMultiframe, vvvMultiframe VSAQC Number of offset positions smallint 2   -9999  
NOISE_R spectra SIXDF R readout noise real 4      
NOISE_v spectra SIXDF V readout noise real 4      
nonperp ultravistaAstrometricInfo ULTRAVISTADR4 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vhsAstrometricInfo VHSDR6 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vhsAstrometricInfo VHSv20170630 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vhsAstrometricInfo VHSv20180419 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp videoAstrometricInfo VIDEODR2 Non-perpendicularity of axes float 8 degrees -0.9999995e9 ??
nonperp videoAstrometricInfo VIDEODR3 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp videoAstrometricInfo VIDEODR4 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp videoAstrometricInfo VIDEODR5 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp videoAstrometricInfo VIDEOv20111208 Non-perpendicularity of axes float 8 degrees -0.9999995e9 ??
nonperp vikingAstrometricInfo VIKINGDR2 Non-perpendicularity of axes float 8 degrees -0.9999995e9 ??
nonperp vikingAstrometricInfo VIKINGDR3 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vikingAstrometricInfo VIKINGDR4 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vikingAstrometricInfo VIKINGDR5 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vikingAstrometricInfo VIKINGv20110714 Non-perpendicularity of axes float 8 degrees -0.9999995e9 ??
nonperp vikingAstrometricInfo VIKINGv20111019 Non-perpendicularity of axes float 8 degrees -0.9999995e9 ??
nonperp vikingAstrometricInfo VIKINGv20130417 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vikingAstrometricInfo VIKINGv20140402 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vikingAstrometricInfo VIKINGv20150421 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vikingAstrometricInfo VIKINGv20151230 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vikingAstrometricInfo VIKINGv20160406 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vikingAstrometricInfo VIKINGv20161202 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vikingAstrometricInfo VIKINGv20170715 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCDR1 Non-perpendicularity of axes float 8 degrees -0.9999995e9 ??
nonperp vmcAstrometricInfo VMCDR2 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCDR3 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCDR4 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20110816 Non-perpendicularity of axes float 8 degrees -0.9999995e9 ??
nonperp vmcAstrometricInfo VMCv20110909 Non-perpendicularity of axes float 8 degrees -0.9999995e9 ??
nonperp vmcAstrometricInfo VMCv20120126 Non-perpendicularity of axes float 8 degrees -0.9999995e9 ??
nonperp vmcAstrometricInfo VMCv20121128 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20130304 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20130805 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20140428 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20140903 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20150309 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20151218 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20160311 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20160822 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20170109 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20170411 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20171101 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20180702 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vmcAstrometricInfo VMCv20181120 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vvvAstrometricInfo VVVDR1 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vvvAstrometricInfo VVVDR2 Non-perpendicularity of axes float 8 degrees -0.9999995e9 pos.posAng
nonperp vvvAstrometricInfo VVVDR4 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vvvAstrometricInfo VVVDR5 Non-perpendicularity of axes float 8 radians -0.9999995e9 pos.posAng
nonperp vvvAstrometricInfo VVVv20110718 Non-perpendicularity of axes float 8 degrees -0.9999995e9 ??
nopt_mchs twomass_psc TWOMASS The number of USNO-A2.0 or Tycho 2 optical sources found within a 5" radius of the TWOMASS position. smallint 2     meta.number
normSoft MapCatalogueDetector ULTRAVISTADR4 Normalised softening parameter (averaged for tiles) for luptitude calculation {catalogue TType keyword: NORMSOFT} float 8      
normSoft MapCatalogueDetector VVVDR5 Normalised softening parameter (averaged for tiles) for luptitude calculation {catalogue TType keyword: NORMSOFT} float 8      
notes vmcCepheidVariables VMCDR3 Additional information, a means that the star was not used to derive the PL, PW and PLC relations. {catalogue TType keyword: Notes} varchar 8   NONE meta.code.qual
notes vmcCepheidVariables VMCDR4 Additional information of flag assigned using the PW(V,Ks) as reference relation. {catalogue TType keyword: Notes} varchar 8   NONE meta.code.qual
The notes have changed from the first data release of Cepheids pre-2016 to the second 2016 onwards. For Cepheids with a cuEventID=11199, have the following in notes: Additional information, a means that the star was not used to derive the PL, PW and PLC relations. For later data, (cuEventID>500000), the following is notes are used: Flag assigned using the PW(V,Ks) as reference relation. The first part of the table includes all stars with flag = 0 ordered by increasing period. The second part includes all stars with flag>0, sorted by increasing period. 0 = no remark; 1 = overluminous star with separation between VMC and OGLE III position larger than 0.2 arcsec; 2 = largely scattered or under-sampled light curve; 3 = Remarks OGLE III; 4 = Remarks VMC; 5 = Saturation; 10 = F-mode outliers without evident explanation; 11 = FO-mode outliers without evident explanation; 12 = V band lacking.
notes vmcCepheidVariables VMCv20121128 Additional information, a means that the star was not used to derive the PL, PW and PLC relations. {catalogue TType keyword: Notes} varchar 8   NONE meta.code.qual
notes vmcCepheidVariables VMCv20140428 Additional information, a means that the star was not used to derive the PL, PW and PLC relations. {catalogue TType keyword: Notes} varchar 8   NONE meta.code.qual
notes vmcCepheidVariables VMCv20140903 Additional information, a means that the star was not used to derive the PL, PW and PLC relations. {catalogue TType keyword: Notes} varchar 8   NONE meta.code.qual
notes vmcCepheidVariables VMCv20150309 Additional information, a means that the star was not used to derive the PL, PW and PLC relations. {catalogue TType keyword: Notes} varchar 8   NONE meta.code.qual
notes vmcCepheidVariables VMCv20151218 Additional information, a means that the star was not used to derive the PL, PW and PLC relations. {catalogue TType keyword: Notes} varchar 8   NONE meta.code.qual
notes vmcCepheidVariables VMCv20160311 Additional information of flag assigned using the PW(V,Ks) as reference relation. {catalogue TType keyword: Notes} varchar 8   NONE meta.code.qual
The notes have changed from the first data release of Cepheids pre-2016 to the second 2016 onwards. For Cepheids with a cuEventID=11199, have the following in notes: Additional information, a means that the star was not used to derive the PL, PW and PLC relations. For later data, (cuEventID>500000), the following is notes are used: Flag assigned using the PW(V,Ks) as reference relation. The first part of the table includes all stars with flag = 0 ordered by increasing period. The second part includes all stars with flag>0, sorted by increasing period. 0 = no remark; 1 = overluminous star with separation between VMC and OGLE III position larger than 0.2 arcsec; 2 = largely scattered or under-sampled light curve; 3 = Remarks OGLE III; 4 = Remarks VMC; 5 = Saturation; 10 = F-mode outliers without evident explanation; 11 = FO-mode outliers without evident explanation; 12 = V band lacking.
notes vmcCepheidVariables VMCv20160822 Additional information of flag assigned using the PW(V,Ks) as reference relation. {catalogue TType keyword: Notes} varchar 8   NONE meta.code.qual
The notes have changed from the first data release of Cepheids pre-2016 to the second 2016 onwards. For Cepheids with a cuEventID=11199, have the following in notes: Additional information, a means that the star was not used to derive the PL, PW and PLC relations. For later data, (cuEventID>500000), the following is notes are used: Flag assigned using the PW(V,Ks) as reference relation. The first part of the table includes all stars with flag = 0 ordered by increasing period. The second part includes all stars with flag>0, sorted by increasing period. 0 = no remark; 1 = overluminous star with separation between VMC and OGLE III position larger than 0.2 arcsec; 2 = largely scattered or under-sampled light curve; 3 = Remarks OGLE III; 4 = Remarks VMC; 5 = Saturation; 10 = F-mode outliers without evident explanation; 11 = FO-mode outliers without evident explanation; 12 = V band lacking.
notes vmcCepheidVariables VMCv20170109 Additional information of flag assigned using the PW(V,Ks) as reference relation. {catalogue TType keyword: FLAG} varchar 16   NONE meta.code.qual
The notes have changed from the first data release of Cepheids pre-2016 to the second 2016 onwards. For Cepheids with a cuEventID=11199, have the following in notes: Additional information, a means that the star was not used to derive the PL, PW and PLC relations. For later data, (cuEventID>500000), the following is notes are used: Flag assigned using the PW(V,Ks) as reference relation. The first part of the table includes all stars with flag = 0 ordered by increasing period. The second part includes all stars with flag>0, sorted by increasing period. 0 = no remark; 1 = overluminous star with separation between VMC and OGLE III position larger than 0.2 arcsec; 2 = largely scattered or under-sampled light curve; 3 = Remarks OGLE III; 4 = Remarks VMC; 5 = Saturation; 10 = F-mode outliers without evident explanation; 11 = FO-mode outliers without evident explanation; 12 = V band lacking.
notes vmcCepheidVariables VMCv20170411 Additional information of flag assigned using the PW(V,Ks) as reference relation. {catalogue TType keyword: FLAG} varchar 16   NONE meta.code.qual
The notes have changed from the first data release of Cepheids pre-2016 to the second 2016 onwards. For Cepheids with a cuEventID=11199, have the following in notes: Additional information, a means that the star was not used to derive the PL, PW and PLC relations. For later data, (cuEventID>500000), the following is notes are used: Flag assigned using the PW(V,Ks) as reference relation. The first part of the table includes all stars with flag = 0 ordered by increasing period. The second part includes all stars with flag>0, sorted by increasing period. 0 = no remark; 1 = overluminous star with separation between VMC and OGLE III position larger than 0.2 arcsec; 2 = largely scattered or under-sampled light curve; 3 = Remarks OGLE III; 4 = Remarks VMC; 5 = Saturation; 10 = F-mode outliers without evident explanation; 11 = FO-mode outliers without evident explanation; 12 = V band lacking.
notes vmcCepheidVariables VMCv20171101 Additional information of flag assigned using the PW(V,Ks) as reference relation. {catalogue TType keyword: FLAG} varchar 16   NONE meta.code.qual
The notes have changed from the first data release of Cepheids pre-2016 to the second 2016 onwards. For Cepheids with a cuEventID=11199, have the following in notes: Additional information, a means that the star was not used to derive the PL, PW and PLC relations. For later data, (cuEventID>500000), the following is notes are used: Flag assigned using the PW(V,Ks) as reference relation. The first part of the table includes all stars with flag = 0 ordered by increasing period. The second part includes all stars with flag>0, sorted by increasing period. 0 = no remark; 1 = overluminous star with separation between VMC and OGLE III position larger than 0.2 arcsec; 2 = largely scattered or under-sampled light curve; 3 = Remarks OGLE III; 4 = Remarks VMC; 5 = Saturation; 10 = F-mode outliers without evident explanation; 11 = FO-mode outliers without evident explanation; 12 = V band lacking.
notes vmcCepheidVariables VMCv20180702 Additional information of flag assigned using the PW(V,Ks) as reference relation. {catalogue TType keyword: FLAG} varchar 16   NONE meta.code.qual
The notes have changed from the first data release of Cepheids pre-2016 to the second 2016 onwards. For Cepheids with a cuEventID=11199, have the following in notes: Additional information, a means that the star was not used to derive the PL, PW and PLC relations. For later data, (cuEventID>500000), the following is notes are used: Flag assigned using the PW(V,Ks) as reference relation. The first part of the table includes all stars with flag = 0 ordered by increasing period. The second part includes all stars with flag>0, sorted by increasing period. 0 = no remark; 1 = overluminous star with separation between VMC and OGLE III position larger than 0.2 arcsec; 2 = largely scattered or under-sampled light curve; 3 = Remarks OGLE III; 4 = Remarks VMC; 5 = Saturation; 10 = F-mode outliers without evident explanation; 11 = FO-mode outliers without evident explanation; 12 = V band lacking.
notes vmcCepheidVariables VMCv20181120 Additional information of flag assigned using the PW(V,Ks) as reference relation. {catalogue TType keyword: FLAG} varchar 16   NONE meta.code.qual
The notes have changed from the first data release of Cepheids pre-2016 to the second 2016 onwards. For Cepheids with a cuEventID=11199, have the following in notes: Additional information, a means that the star was not used to derive the PL, PW and PLC relations. For later data, (cuEventID>500000), the following is notes are used: Flag assigned using the PW(V,Ks) as reference relation. The first part of the table includes all stars with flag = 0 ordered by increasing period. The second part includes all stars with flag>0, sorted by increasing period. 0 = no remark; 1 = overluminous star with separation between VMC and OGLE III position larger than 0.2 arcsec; 2 = largely scattered or under-sampled light curve; 3 = Remarks OGLE III; 4 = Remarks VMC; 5 = Saturation; 10 = F-mode outliers without evident explanation; 11 = FO-mode outliers without evident explanation; 12 = V band lacking.
notes vmcEclipsingBinaryVariables VMCDR4 More details from EROS-2 ("cont.-like", "non-contact") or OGLEIII (checked by GRATIS "ch" or not "n/c" ) {catalogue TType keyword: TYPE} varchar 16   NONE meta.code.qual
The type of eclipsing binary. If the data is from EROS-2, the options are "cont.-like" or "non-contact" and if the data is from OGLEIII then the type is from a GRATIS checkand the options are "ch" or not "n/c".
notes vmcEclipsingBinaryVariables VMCv20140903 More details from EROS-2 ("cont.-like", "non-contact") or OGLEIII (checked by GRATIS "ch" or not "n/c" ) {catalogue TType keyword: TYPE} varchar 16   NONE meta.code.qual
The type of eclipsing binary. If the data is from EROS-2, the options are "cont.-like" or "non-contact" and if the data is from OGLEIII then the type is from a GRATIS checkand the options are "ch" or not "n/c".
notes vmcEclipsingBinaryVariables VMCv20150309 More details from EROS-2 ("cont.-like", "non-contact") or OGLEIII (checked by GRATIS "ch" or not "n/c" ) {catalogue TType keyword: TYPE} varchar 16   NONE meta.code.qual
The type of eclipsing binary. If the data is from EROS-2, the options are "cont.-like" or "non-contact" and if the data is from OGLEIII then the type is from a GRATIS checkand the options are "ch" or not "n/c".
notes vmcEclipsingBinaryVariables VMCv20151218 More details from EROS-2 ("cont.-like", "non-contact") or OGLEIII (checked by GRATIS "ch" or not "n/c" ) {catalogue TType keyword: TYPE} varchar 16   NONE meta.code.qual
The type of eclipsing binary. If the data is from EROS-2, the options are "cont.-like" or "non-contact" and if the data is from OGLEIII then the type is from a GRATIS checkand the options are "ch" or not "n/c".
notes vmcEclipsingBinaryVariables VMCv20160311 More details from EROS-2 ("cont.-like", "non-contact") or OGLEIII (checked by GRATIS "ch" or not "n/c" ) {catalogue TType keyword: TYPE} varchar 16   NONE meta.code.qual
The type of eclipsing binary. If the data is from EROS-2, the options are "cont.-like" or "non-contact" and if the data is from OGLEIII then the type is from a GRATIS checkand the options are "ch" or not "n/c".
notes vmcEclipsingBinaryVariables VMCv20160822 More details from EROS-2 ("cont.-like", "non-contact") or OGLEIII (checked by GRATIS "ch" or not "n/c" ) {catalogue TType keyword: TYPE} varchar 16   NONE meta.code.qual
The type of eclipsing binary. If the data is from EROS-2, the options are "cont.-like" or "non-contact" and if the data is from OGLEIII then the type is from a GRATIS checkand the options are "ch" or not "n/c".
notes vmcEclipsingBinaryVariables VMCv20170109 More details from EROS-2 ("cont.-like", "non-contact") or OGLEIII (checked by GRATIS "ch" or not "n/c" ) {catalogue TType keyword: TYPE} varchar 16   NONE meta.code.qual
The type of eclipsing binary. If the data is from EROS-2, the options are "cont.-like" or "non-contact" and if the data is from OGLEIII then the type is from a GRATIS checkand the options are "ch" or not "n/c".
notes vmcEclipsingBinaryVariables VMCv20170411 More details from EROS-2 ("cont.-like", "non-contact") or OGLEIII (checked by GRATIS "ch" or not "n/c" ) {catalogue TType keyword: TYPE} varchar 16   NONE meta.code.qual
The type of eclipsing binary. If the data is from EROS-2, the options are "cont.-like" or "non-contact" and if the data is from OGLEIII then the type is from a GRATIS checkand the options are "ch" or not "n/c".
notes vmcEclipsingBinaryVariables VMCv20171101 More details from EROS-2 ("cont.-like", "non-contact") or OGLEIII (checked by GRATIS "ch" or not "n/c" ) {catalogue TType keyword: TYPE} varchar 16   NONE meta.code.qual
The type of eclipsing binary. If the data is from EROS-2, the options are "cont.-like" or "non-contact" and if the data is from OGLEIII then the type is from a GRATIS checkand the options are "ch" or not "n/c".
notes vmcEclipsingBinaryVariables VMCv20180702 More details from EROS-2 ("cont.-like", "non-contact") or OGLEIII (checked by GRATIS "ch" or not "n/c" ) {catalogue TType keyword: TYPE} varchar 16   NONE meta.code.qual
The type of eclipsing binary. If the data is from EROS-2, the options are "cont.-like" or "non-contact" and if the data is from OGLEIII then the type is from a GRATIS checkand the options are "ch" or not "n/c".
notes vmcEclipsingBinaryVariables VMCv20181120 More details from EROS-2 ("cont.-like", "non-contact") or OGLEIII (checked by GRATIS "ch" or not "n/c" ) {catalogue TType keyword: TYPE} varchar 16   NONE meta.code.qual
The type of eclipsing binary. If the data is from EROS-2, the options are "cont.-like" or "non-contact" and if the data is from OGLEIII then the type is from a GRATIS checkand the options are "ch" or not "n/c".
nPass RequiredFilters ULTRAVISTADR4 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSDR1 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSDR2 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSDR3 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSDR4 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSDR5 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSDR6 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSv20120926 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSv20130417 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSv20150108 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSv20160114 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSv20160507 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSv20170630 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VHSv20180419 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIDEODR2 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIDEODR3 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIDEODR4 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIDEODR5 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIDEOv20100513 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIDEOv20111208 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIKINGDR2 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIKINGDR3 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIKINGDR4 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIKINGDR5 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIKINGv20110714 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIKINGv20111019 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIKINGv20130417 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIKINGv20150421 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIKINGv20151230 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIKINGv20160406 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIKINGv20161202 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VIKINGv20170715 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCDR1 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCDR3 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCDR4 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20110816 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20110909 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20120126 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20121128 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20130304 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20130805 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20140428 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20140903 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20150309 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20151218 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20160311 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20160822 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20170109 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20170411 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20171101 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20180702 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VMCv20181120 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VSAQC the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VVVDR1 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VVVDR2 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VVVDR4 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VVVDR5 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VVVv20100531 the number of passes that will be made smallint 2     meta.number
nPass RequiredFilters VVVv20110718 the number of passes that will be made smallint 2     meta.number
npoints machoLMCSource, machoSMCSource MACHO number of observations on the MACHO tile containing this star smallint 2      
ntr hipparcos_new_reduction GAIADR1 Number of field transits used int 4     meta.id;obs.field
num tycho2 GAIADR1 NUmber of positions used smallint 2     meta.number
num_harmonics_for_p1 cepheid, rrlyrae GAIADR1 Number of harmonics used to model P1 of the light curve int 4     meta.number
num_observations_processed phot_variable_time_series_g_fov_statistical_parameters GAIADR1 Number of processed G-band observations for variability analysis int 4     meta.number
numAxes MultiframeDetector ULTRAVISTADR4 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSDR1 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSDR2 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSDR3 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSDR4 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSDR5 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSDR6 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSv20120926 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSv20130417 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSv20140409 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSv20150108 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSv20160114 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSv20160507 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSv20170630 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VHSv20180419 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIDEODR2 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIDEODR3 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIDEODR4 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIDEODR5 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIDEOv20100513 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIDEOv20111208 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGDR2 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGDR3 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGDR4 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGDR5 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGv20110714 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGv20111019 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGv20130417 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGv20140402 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGv20150421 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGv20151230 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGv20160406 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGv20161202 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VIKINGv20170715 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCDR1 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCDR2 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCDR3 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCDR4 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20110816 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20110909 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20120126 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20121128 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20130304 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20130805 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20140428 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20140903 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20150309 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20151218 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20160311 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20160822 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20170109 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20170411 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20171101 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20180702 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VMCv20181120 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VVVDR1 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VVVDR2 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VVVDR4 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VVVDR5 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VVVv20100531 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes MultiframeDetector VVVv20110718 Number of data axes; eg. 2 tinyint 1   0 meta.number
numAxes ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Number of data axes; eg. 2 tinyint 1   meta.number
numberStk RequiredStack ULTRAVISTADR4 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSDR1 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSDR2 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSDR3 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSDR4 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSDR5 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSDR6 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSv20120926 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSv20130417 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSv20150108 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSv20160114 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSv20160507 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSv20170630 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VHSv20180419 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIDEODR2 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIDEODR3 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIDEODR4 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIDEODR5 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIDEOv20100513 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIDEOv20111208 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIKINGDR2 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIKINGDR3 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIKINGDR4 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIKINGDR5 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIKINGv20110714 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIKINGv20111019 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIKINGv20130417 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIKINGv20150421 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIKINGv20151230 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIKINGv20160406 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIKINGv20161202 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VIKINGv20170715 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCDR1 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCDR3 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCDR4 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20110816 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20110909 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20120126 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20121128 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20130304 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20130805 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20140428 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20140903 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20150309 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20151218 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20160311 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20160822 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20170109 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20170411 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20171101 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20180702 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VMCv20181120 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VSAQC Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VVVDR1 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VVVDR2 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VVVDR4 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VVVDR5 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VVVv20100531 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numberStk RequiredStack VVVv20110718 Number of intermediate stacks. If default, stack all good quality stacks int 4   -99999999  
numDetectors Multiframe ULTRAVISTADR4 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSDR1 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSDR2 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSDR3 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSDR4 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSDR5 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSDR6 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSv20120926 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSv20130417 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSv20140409 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSv20150108 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSv20160114 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSv20160507 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSv20170630 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VHSv20180419 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIDEODR2 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIDEODR3 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIDEODR4 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIDEODR5 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIDEOv20100513 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIDEOv20111208 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGDR2 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGDR3 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGDR4 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGDR5 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGv20110714 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGv20111019 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGv20130417 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGv20140402 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGv20150421 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGv20151230 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGv20160406 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGv20161202 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VIKINGv20170715 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCDR1 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCDR2 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCDR3 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCDR4 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20110816 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20110909 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20120126 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20121128 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20130304 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20130805 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20140428 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20140903 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20150309 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20151218 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20160311 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20160822 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20170109 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20170411 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20171101 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20180702 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VMCv20181120 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VVVDR1 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VVVDR2 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VVVDR4 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VVVDR5 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VVVv20100531 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors Multiframe VVVv20110718 The number of "detectors" (=image extensions in FITS file) tinyint 1   0 ??
numDetectors ultravistaMultiframe, vhsMultiframe, videoMultiframe, vikingMultiframe, vmcMultiframe, vvvMultiframe VSAQC The number of "detectors" (=image extensions in FITS file) tinyint 1   ??
numRms CurrentAstrometry ULTRAVISTADR4 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSDR1 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSDR2 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSDR3 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSDR4 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSDR5 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSDR6 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSv20120926 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSv20130417 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSv20140409 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSv20150108 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSv20160114 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSv20160507 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSv20170630 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VHSv20180419 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIDEODR2 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIDEODR3 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIDEODR4 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIDEODR5 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIDEOv20100513 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIDEOv20111208 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGDR2 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGDR3 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGDR4 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGDR5 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGv20110714 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGv20111019 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGv20130417 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGv20140402 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGv20150421 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGv20151230 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGv20160406 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGv20161202 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VIKINGv20170715 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCDR1 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCDR2 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCDR3 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCDR4 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20110816 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20110909 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20120126 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20121128 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20130304 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20130805 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20140428 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20140903 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20150309 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20151218 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20160311 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20160822 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20170109 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20170411 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20171101 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20180702 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VMCv20181120 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VVVDR1 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VVVDR2 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VVVDR4 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VVVDR5 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VVVv20100531 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms CurrentAstrometry VVVv20110718 No. of astrometric standards used in fit {image extension keyword: NUMBRMS} int 4   -99999999 stat.fit.param
numRms ultravistaCurrentAstrometry, vhsCurrentAstrometry, videoCurrentAstrometry, vikingCurrentAstrometry, vmcCurrentAstrometry, vvvCurrentAstrometry VSAQC No. of astrometric standards used in fit int 4   -99999999 stat.fit.param
numZPCat MultiframeDetector ULTRAVISTADR4 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSDR1 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSDR2 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSDR3 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSDR4 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSDR5 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSDR6 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSv20120926 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSv20130417 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSv20140409 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSv20150108 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSv20160114 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSv20160507 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSv20170630 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VHSv20180419 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIDEODR2 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIDEODR3 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIDEODR4 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIDEODR5 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIDEOv20100513 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIDEOv20111208 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGDR2 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGDR3 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGDR4 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGDR5 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGv20110714 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGv20111019 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGv20130417 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGv20140402 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGv20150421 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGv20151230 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGv20160406 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGv20161202 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VIKINGv20170715 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCDR1 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCDR2 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCDR3 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCDR4 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20110816 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20110909 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20120126 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20121128 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20130304 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20130805 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20140428 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20140903 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20150309 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20151218 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20160311 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20160822 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20170109 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20170411 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20171101 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20180702 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VMCv20181120 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VVVDR1 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VVVDR2 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VVVDR4 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VVVDR5 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VVVv20100531 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat MultiframeDetector VVVv20110718 Number of standards used in determining photZPCat and photZPCatErr {catalogue extension keyword:  NUMZPT} int 4   -99999999  
numZPCat PreviousMFDZP ULTRAVISTADR4 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSDR1 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSDR2 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSDR3 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSDR4 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSDR5 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSDR6 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSv20120926 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSv20130417 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSv20140409 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSv20150108 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSv20160114 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSv20160507 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSv20170630 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VHSv20180419 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIDEODR2 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIDEODR3 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIDEODR4 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIDEODR5 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIDEOv20100513 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIDEOv20111208 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGDR2 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGDR3 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGDR4 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGDR5 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGv20110714 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGv20111019 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGv20130417 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGv20140402 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGv20150421 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGv20151230 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGv20160406 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGv20161202 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VIKINGv20170715 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCDR1 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCDR2 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCDR3 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCDR4 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20110816 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20110909 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20120126 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20121128 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20130304 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20130805 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20140428 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20140903 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20150309 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20151218 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20160311 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20160822 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20170109 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20170411 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20171101 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20180702 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VMCv20181120 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VVVDR1 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VVVDR2 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VVVDR4 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VVVDR5 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VVVv20100531 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat PreviousMFDZP VVVv20110718 Number of standards used in determining photZP and photZPErr int 4   -99999999  
numZPCat ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Number of standards used in determining photZPCat and photZPCatErr int 4   -99999999  
nuStep Multiframe ULTRAVISTADR4 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSDR1 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSDR2 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSDR3 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSDR4 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSDR5 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSDR6 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSv20120926 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSv20130417 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSv20140409 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSv20150108 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSv20160114 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSv20160507 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSv20170630 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VHSv20180419 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIDEODR2 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIDEODR3 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIDEODR4 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIDEODR5 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIDEOv20100513 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIDEOv20111208 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGDR2 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGDR3 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGDR4 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGDR5 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGv20110714 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGv20111019 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGv20130417 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGv20140402 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGv20150421 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGv20151230 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGv20160406 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGv20161202 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VIKINGv20170715 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCDR1 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCDR2 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCDR3 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCDR4 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20110816 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20110909 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20120126 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20121128 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20130304 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20130805 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20140428 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20140903 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20150309 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20151218 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20160311 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20160822 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20170109 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20170411 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20171101 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20180702 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VMCv20181120 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VVVDR1 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VVVDR2 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VVVDR4 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VVVDR5 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VVVv20100531 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep Multiframe VVVv20110718 Number of microstep positions {image primary HDU keyword: NUSTEP} tinyint 1   0  
nuStep ultravistaMultiframe, vhsMultiframe, videoMultiframe, vikingMultiframe, vmcMultiframe, vvvMultiframe VSAQC Number of microstep positions tinyint 1   0  
nustep RequiredMosaic VHSDR1 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VHSDR2 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VHSDR3 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VHSDR4 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VHSDR5 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VHSDR6 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VHSv20120926 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VHSv20130417 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VHSv20150108 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VHSv20160114 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VHSv20160507 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VHSv20170630 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VHSv20180419 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIDEODR2 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIDEODR3 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIDEODR4 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIDEODR5 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIDEOv20100513 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIDEOv20111208 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIKINGDR2 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIKINGDR3 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIKINGDR4 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIKINGDR5 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIKINGv20110714 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIKINGv20111019 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIKINGv20130417 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIKINGv20150421 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIKINGv20151230 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIKINGv20160406 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIKINGv20161202 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VIKINGv20170715 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCDR1 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCDR3 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCDR4 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20110816 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20110909 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20120126 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20121128 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20130304 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20130805 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20140428 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20140903 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20150309 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20151218 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20160311 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20160822 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20170109 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20170411 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20171101 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20180702 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VMCv20181120 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VVVDR1 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VVVDR2 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VVVDR4 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VVVDR5 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VVVv20100531 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic VVVv20110718 Amount of microstepping tinyint 1     ??
nustep RequiredMosaic, RequiredTile ULTRAVISTADR4 Amount of microstepping tinyint 1     ??
nustep RequiredStack ULTRAVISTADR4 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSDR1 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSDR2 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSDR3 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSDR4 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSDR5 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSDR6 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSv20120926 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSv20130417 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSv20150108 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSv20160114 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSv20160507 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSv20170630 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VHSv20180419 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIDEODR2 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIDEODR3 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIDEODR4 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIDEODR5 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIDEOv20100513 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIDEOv20111208 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIKINGDR2 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIKINGDR3 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIKINGDR4 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIKINGDR5 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIKINGv20110714 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIKINGv20111019 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIKINGv20130417 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIKINGv20150421 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIKINGv20151230 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIKINGv20160406 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIKINGv20161202 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VIKINGv20170715 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCDR1 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCDR3 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCDR4 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20110816 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20110909 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20120126 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20121128 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20130304 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20130805 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20140428 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20140903 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20150309 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20151218 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20160311 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20160822 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20170109 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20170411 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20171101 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20180702 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VMCv20181120 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VSAQC Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VVVDR1 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VVVDR2 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VVVDR4 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VVVDR5 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VVVv20100531 Amount of microstepping tinyint 1   0 ??
nustep RequiredStack VVVv20110718 Amount of microstepping tinyint 1   0 ??
NVSS nvssSource NVSS Source name varchar 14     meta.id;meta.main
nY vmcPsfCatalogue VMCDR3 Number of stars used to calculate the completeness in Y {catalogue TType keyword: nY} int 4   -99999999  
nY vmcPsfCatalogue VMCDR4 Number of stars used to calculate the completeness in Y {catalogue TType keyword: nY} int 4   -99999999 meta.number;em.IR.NIR
nY vmcPsfCatalogue VMCv20140903 Number of stars used to calculate the completeness in Y {catalogue TType keyword: nY} int 4   -99999999 meta.number;em.IR.NIR
nY vmcPsfCatalogue VMCv20150309 Number of stars used to calculate the completeness in Y {catalogue TType keyword: nY} int 4   -99999999 meta.number;em.IR.NIR
nY vmcPsfCatalogue VMCv20151218 Number of stars used to calculate the completeness in Y {catalogue TType keyword: nY} int 4   -99999999 meta.number;em.IR.NIR
nY vmcPsfCatalogue VMCv20160311 Number of stars used to calculate the completeness in Y {catalogue TType keyword: nY} int 4   -99999999 meta.number;em.IR.NIR
nY vmcPsfCatalogue VMCv20160822 Number of stars used to calculate the completeness in Y {catalogue TType keyword: nY} int 4   -99999999 meta.number;em.IR.NIR
nY vmcPsfCatalogue VMCv20170109 Number of stars used to calculate the completeness in Y {catalogue TType keyword: nY} int 4   -99999999 meta.number;em.IR.NIR
nY vmcPsfCatalogue VMCv20170411 Number of stars used to calculate the completeness in Y {catalogue TType keyword: nY} int 4   -99999999 meta.number;em.IR.NIR
nY vmcPsfCatalogue VMCv20171101 Number of stars used to calculate the completeness in Y {catalogue TType keyword: nY} int 4   -99999999 meta.number;em.IR.NIR
nY vmcPsfSource VMCv20180702 Number of stars used to calculate the completeness in Y int 4   -99999999 meta.number;em.IR.NIR
nY vmcPsfSource VMCv20181120 Number of stars used to calculate the completeness in Y int 4   -99999999 meta.number;em.IR.NIR



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24/05/2019