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Glossary of VSA attributes

This Glossary alphabetically lists all attributes used in the VSAv20181120 database(s) held in the VSA. If you would like to have more information about the schema tables please use the VSAv20181120 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

G

NameSchema TableDatabaseDescriptionTypeLengthUnitDefault ValueUnified Content Descriptor
g_flux phot_variable_time_series_g_fov GAIADR1 G-band flux for each FoV observation float 8 electrons/second   phot.flux;em.opt
g_flux_error phot_variable_time_series_g_fov GAIADR1 Estimated uncertainty on G-band flux for each FoV observation float 8 electrons/second   stat.error;phot.flux;em.opt
g_mag_zero_oint_error ext_phot_zero_point GAIADR1 Uncertainty on G magnitude zero point float 8 mag   stat.error;phot.mag;arith.zp;em.opt
g_mag_zero_point ext_phot_zero_point GAIADR1 G magnitude zero point float 8 mag   phot.mag;arith.zp;em.opt
g_magnitude phot_variable_time_series_g_fov GAIADR1 G-band magnitude for each FoV observation float 8 mag   phot.mag;em.opt
g_rp gaia_source GAIADR2 G-RP colour real 4 mag   phot.colour
g_score twomass_xsc TWOMASS galaxy score: 1(extended) < g_score < 2(point-like). real 4     meta.code
GAIN_R spectra SIXDF R gain real 4      
GAIN_V spectra SIXDF V gain real 4      
gainCor MultiframeDetector VHSDR1 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VHSDR2 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VHSDR3 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VHSDR4 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VHSv20120926 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VHSv20130417 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VHSv20140409 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VHSv20150108 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VHSv20160114 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VHSv20160507 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VHSv20170630 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VHSv20171207 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VHSv20180419 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIDEODR2 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIDEODR3 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIDEODR4 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIDEODR5 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIDEOv20100513 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIDEOv20111208 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGDR2 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGDR3 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGDR4 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGv20110714 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGv20111019 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGv20130417 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGv20140402 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGv20150421 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGv20151230 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGv20160406 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGv20161202 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGv20170715 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VIKINGv20181012 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCDR1 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCDR2 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCDR3 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCDR4 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20110816 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20110909 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20120126 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20121128 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20130304 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20130805 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20140428 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20140903 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20150309 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20151218 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20160311 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20160822 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20170109 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20170411 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20171101 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20180702 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VMCv20181120 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor MultiframeDetector VVVDR4 Gain correction factor {image extension keyword: GAINCOR} real 4   -0.9999995e9  
gainCor ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Gain correction factor real 4   -0.9999995e9  
gal_contam twomass_psc TWOMASS Extended source "contamination" flag. smallint 2     meta.code
gal_contam twomass_sixx2_psc TWOMASS src contaminated by galaxy (check blanked/subtracted tbl) smallint 2      
galactic_lat igsl_source GAIADR1 Galactic latitude real 4 degrees   pos.galatic.lat
galactic_lon igsl_source GAIADR1 Galactic longitude real 4 degrees   pos.galatic.lon
gauSig vhsDetection VHSDR2 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vhsDetection VHSDR3 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vhsDetection VHSDR4 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vhsDetection VHSv20120926 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vhsDetection VHSv20130417 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vhsDetection VHSv20140409 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vhsDetection VHSv20150108 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vhsDetection VHSv20160114 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vhsDetection VHSv20160507 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vhsDetection VHSv20170630 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vhsDetection VHSv20171207 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vhsDetection VHSv20180419 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vhsDetection, vhsListRemeasurement VHSDR1 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig videoDetection VIDEODR2 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
Derived from the maximum and minimum spatial RMS of the object profile along any direction, ie. 0.5*(A_IMAGE² + B_IMAGE²)½
gauSig videoDetection VIDEODR3 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
Derived from the maximum and minimum spatial RMS of the object profile along any direction, ie. 0.5*(A_IMAGE² + B_IMAGE²)½
gauSig videoDetection VIDEODR4 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
Derived from the maximum and minimum spatial RMS of the object profile along any direction, ie. 0.5*(A_IMAGE² + B_IMAGE²)½
gauSig videoDetection VIDEODR5 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
Derived from the maximum and minimum spatial RMS of the object profile along any direction, ie. 0.5*(A_IMAGE² + B_IMAGE²)½
gauSig videoDetection VIDEOv20100513 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
Derived from the maximum and minimum spatial RMS of the object profile along any direction, ie. 0.5*(A_IMAGE² + B_IMAGE²)½
gauSig videoDetection VIDEOv20111208 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
Derived from the maximum and minimum spatial RMS of the object profile along any direction, ie. 0.5*(A_IMAGE² + B_IMAGE²)½
gauSig videoListRemeasurement VIDEOv20100513 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection VIKINGDR2 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection VIKINGDR3 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection VIKINGDR4 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection VIKINGv20111019 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection VIKINGv20130417 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection VIKINGv20140402 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection VIKINGv20150421 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection VIKINGv20151230 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection VIKINGv20160406 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection VIKINGv20161202 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection VIKINGv20170715 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection VIKINGv20181012 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingDetection, vikingListRemeasurement VIKINGv20110714 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vikingMapRemeasAver VIKINGZYSELJv20160909 Averaged RMS of axes of ellipse fit real 4 pixels   src.morph.param
gauSig vikingMapRemeasAver VIKINGZYSELJv20170124 Averaged RMS of axes of ellipse fit real 4 pixels   src.morph.param
gauSig vikingMapRemeasurement VIKINGZYSELJv20160909 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
Derived from the maximum and minimum spatial RMS of the object profile along any direction, ie. 0.5*(A_IMAGE² + B_IMAGE²)½
gauSig vikingMapRemeasurement VIKINGZYSELJv20170124 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
Derived from the maximum and minimum spatial RMS of the object profile along any direction, ie. 0.5*(A_IMAGE² + B_IMAGE²)½
gauSig vmcDetection VMCDR1 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCDR2 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCDR3 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCDR4 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20110909 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20120126 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20121128 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20130304 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20130805 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20140428 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20140903 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20150309 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20151218 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20160311 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20160822 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20170109 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20170411 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20171101 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20180702 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection VMCv20181120 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vmcDetection, vmcListRemeasurement VMCv20110816 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
gauSig vvvDetection VVVDR4 RMS of axes of ellipse fit {catalogue TType keyword: Gaussian_sigma} real 4 pixels   src.morph.param
These are derived from the three general intensity-weighted second moments. The equivalence between them and a generalised elliptical Gaussian Distribution is used to derive Gaussian sigma = (σa²+σb²)½
Gauss_frac_1 ravedr5Source RAVE Property of multi-Gaussian distance modulus fit, see Section 9, eq. 5 real 4     stat.fit.param
Gauss_frac_2 ravedr5Source RAVE Property of multi-Gaussian distance modulus fit, see Section 9, eq. 5 real 4     stat.fit.param
Gauss_frac_3 ravedr5Source RAVE Property of multi-Gaussian distance modulus fit, see Section 9, eq. 5 real 4     stat.fit.param
Gauss_mean_1 ravedr5Source RAVE Property of multi-Gaussian distance modulus fit, see Section 9, eq. 5 real 4     stat.fit.param
Gauss_mean_2 ravedr5Source RAVE Property of multi-Gaussian distance modulus fit, see Section 9, eq. 5 real 4     stat.fit.param
Gauss_mean_3 ravedr5Source RAVE Property of multi-Gaussian distance modulus fit, see Section 9, eq. 5 real 4     stat.fit.param
Gauss_sigma_1 ravedr5Source RAVE Property of multi-Gaussian distance modulus fit, see Section 9, eq. 5 real 4     stat.fit.param
Gauss_sigma_2 ravedr5Source RAVE Property of multi-Gaussian distance modulus fit, see Section 9, eq. 5 real 4     stat.fit.param
Gauss_sigma_3 ravedr5Source RAVE Property of multi-Gaussian distance modulus fit, see Section 9, eq. 5 real 4     stat.fit.param
GB target SIXDF galactic latitude float 8 degrees    
gcnf twomass_sixx2_psc, twomass_sixx2_xsc TWOMASS Group confusion flag 0=not confused or single apparation, 1=confused smallint 2      
gcntr twomass_sixx2_psc, twomass_sixx2_xsc TWOMASS A unique identifier for the merged group of apparitions of this source int 4      
gcvsID ogle3LpvLmcSource, ogle3LpvSmcSource OGLE GCVS ID varchar 5     meta.id
GL target SIXDF galactic longitude float 8 degrees    
Glat ravedr5Source RAVE Latitude (J2000 GCS) float 8 deg   pos.galactic.lat
glat allwise_sc2 WISE Galactic latitude computed from the non-moving source fit equatorial position. CAUTION: This coordinate should not be used as an astrometric reference. float 8 deg    
glat twomass_psc TWOMASS Galactic latitude rounded to 0.001 deg. real 4 degrees   pos.galactic.lat
glat twomass_scn TWOMASS Galactic latitude of scan center, as computed from ra and dec above. real 4 degrees   pos.galactic.lat
glat twomass_sixx2_scn TWOMASS galactic latitude (decimal deg) of scan center float 8 deg    
glat twomass_xsc TWOMASS Galactic latitude (decimal deg) based on peak pixel. real 4 degrees   pos.galactic.lat
globalSourceID sage_lmcIracSource, sage_lmcMips160Source, sage_lmcMips24Source, sage_lmcMips70Source SPITZER Unique identifier int 4      
globalSourceID sage_smcIRACv1_5Source SPITZER Unique identification number of each source in the catalog int 4      
Glon ravedr5Source RAVE Longitude (J2000 GCS) float 8 deg   pos.galactic.lon
glon allwise_sc2 WISE Galactic longitude, computed from the non-moving source fit equatorial position. CAUTION: This coordinate should not be used as an astrometric reference. float 8 deg    
glon twomass_psc TWOMASS Galactic longitude rounded to 0.001 deg. real 4 degrees   pos.galactic.lon
glon twomass_scn TWOMASS Galactic longitude of scan center, as computed from ra and dec above. real 4 degrees   pos.galactic.lon
glon twomass_sixx2_scn TWOMASS galactic longitude (decimal deg) of scan center float 8 deg    
glon twomass_xsc TWOMASS Galactic longitude (decimal deg) based on peak pixel. real 4 degrees   pos.galactic.lon
gpmag_APASSDR9 ravedr5Source RAVE g' magnitude from APASSDR9 real 4 mag   phot.mag;em.opt
GRATBLAZ_R spectra SIXDF R blaze direction varchar 10      
GRATBLAZ_V spectra SIXDF V blaze direction varchar 10      
GRATID_R spectra SIXDF grating ID in R frame varchar 14      
GRATID_V spectra SIXDF grating ID in V frame varchar 14      
GRATSET_R spectra SIXDF R grating micrometer setting real 4      
GRATSET_V spectra SIXDF V grating micrometer setting real 4      
GRATSLOT_R spectra SIXDF R grating slot ID char 1      
GRATSLOT_V spectra SIXDF V grating slot ID char 1      
groutedFlag MultiframeDetector VHSDR1 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VHSDR2 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VHSDR3 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VHSDR4 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VHSv20120926 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VHSv20130417 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VHSv20140409 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VHSv20150108 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VHSv20160114 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VHSv20160507 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VHSv20170630 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VHSv20171207 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VHSv20180419 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIDEODR2 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIDEODR3 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIDEODR4 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIDEODR5 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIDEOv20111208 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGDR2 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGDR3 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGDR4 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGv20110714 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGv20111019 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGv20130417 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGv20140402 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGv20150421 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGv20151230 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGv20160406 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGv20161202 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGv20170715 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VIKINGv20181012 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCDR1 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCDR2 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCDR3 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCDR4 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20110816 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20110909 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20120126 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20121128 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20130304 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20130805 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20140428 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20140903 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20150309 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20151218 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20160311 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20160822 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20170109 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20170411 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20171101 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20180702 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VMCv20181120 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag MultiframeDetector VVVDR4 Table has been grouted {catalogue extension keyword:  GROUTED} tinyint 1   0  
groutedFlag ultravistaMultiframeDetector, vhsMultiframeDetector, videoMultiframeDetector, vikingMultiframeDetector, vmcMultiframeDetector, vvvMultiframeDetector VSAQC Table has been grouted tinyint 1   0  
grpNum Multiframe VHSDR1 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VHSDR2 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VHSDR3 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VHSDR4 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VHSv20120926 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VHSv20130417 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VHSv20140409 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VHSv20150108 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VHSv20160114 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VHSv20160507 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VHSv20170630 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VHSv20171207 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VHSv20180419 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIDEODR2 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIDEODR3 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIDEODR4 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIDEODR5 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIDEOv20100513 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIDEOv20111208 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGDR2 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGDR3 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGDR4 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGv20110714 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGv20111019 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGv20130417 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGv20140402 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGv20150421 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGv20151230 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGv20160406 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGv20161202 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGv20170715 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VIKINGv20181012 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCDR1 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCDR2 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCDR3 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCDR4 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20110816 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20110909 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20120126 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20121128 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20130304 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20130805 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20140428 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20140903 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20150309 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20151218 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20160311 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20160822 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20170109 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20170411 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20171101 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20180702 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VMCv20181120 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum Multiframe VVVDR4 Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) {image primary HDU keyword: JITTRNUM} int 4   -99999999  
grpNum ultravistaMultiframe, vhsMultiframe, videoMultiframe, vikingMultiframe, vmcMultiframe, vvvMultiframe VSAQC Value of 1st OBSNUM in jitter sequence (i.e. group number applied to all members) int 4   -99999999  
gsc2Class first08Jul16Source FIRST morphological classification in GSC-2 version 2.3.2 (s=stellar, g=nonstellar/galaxy) varchar 1      
gsc2Mag first08Jul16Source FIRST GSC2 F magnitude real 4 mag    
gsc2Matches first08Jul16Source FIRST number of matches within a fiducial radius (10 arcsec) with GSC-2 version 2.3.2 int 4      
gsc2Sep first08Jul16Source FIRST separation of the nearest match in GSC-2 version 2.3.2 from the FIRST position real 4 arcsec    
gsMag combo17CDFSSource COMBO17 Absolute restframe magnitude in SDSS g (calculated from redshifted best_fit template, depending on redshift and filter extrapolation outside the COMBO-17 filter set can be necessary, only calculated for objects classified as galaxies) real 4 mag    



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20/11/2018