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Glossary of WSA attributes

This Glossary alphabetically lists all attributes used in the UKIDSSDR11 database(s) held in the WSA. If you would like to have more information about the schema tables please use the UKIDSSDR11 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

C

NameSchema TableDatabaseDescriptionTypeLengthUnitDefault ValueUnified Content Descriptor
C1 mgcGalaxyStruct MGC Concentration index alpha=1 real 4   99.99  
C2 mgcGalaxyStruct MGC Concentration index alpha=2 real 4   99.99  
C3 mgcGalaxyStruct MGC Concentration index alpha=3 real 4   99.99  
C4 mgcGalaxyStruct MGC Concentration index alpha=4 real 4   99.99  
c_strat twomass_scn 2MASS Flag indicating the calibration strategy for this night's data. smallint 2     CODE_MISC
c_strat twomass_sixx2_scn 2MASS calibration strategy, north only (0=old, 1=new) smallint 2      
camNum MultiframeDetector WSA Number of WFCAM camera (1, 2, 3 or 4) {image extension keyword: CAMNUM} int 4     obs.field
camNum MultiframeDetector WSACalib Number of WFCAM camera (1, 2, 3 or 4) {image extension keyword: CAMNUM} int 4     obs.field
camNum MultiframeDetector WSATransit Number of WFCAM camera (1, 2, 3 or 4) {image extension keyword: CAMNUM} int 4     obs.field
camNum MultiframeDetector WSAUHS Number of WFCAM camera (1, 2, 3 or 4) {image extension keyword: CAMNUM} int 4     obs.field
camPower MultiframeDetector WSA Camera power (On|Off) {image extension keyword: CAMPOWER} varchar 3   --- ??
camPower MultiframeDetector WSACalib Camera power (On|Off) {image extension keyword: CAMPOWER} varchar 3   --- ??
camPower MultiframeDetector WSATransit Camera power (On|Off) {image extension keyword: CAMPOWER} varchar 3   --- ??
camPower MultiframeDetector WSAUHS Camera power (On|Off) {image extension keyword: CAMPOWER} varchar 3   --- ??
camReadOut MultiframeDetector WSA Camera readout (CDS|NDR|SAR|RRR) {image extension keyword: READOUT} varchar 3   --- ??
camReadOut MultiframeDetector WSACalib Camera readout (CDS|NDR|SAR|RRR) {image extension keyword: READOUT} varchar 3   --- ??
camReadOut MultiframeDetector WSATransit Camera readout (CDS|NDR|SAR|RRR) {image extension keyword: READOUT} varchar 3   --- ??
camReadOut MultiframeDetector WSAUHS Camera readout (CDS|NDR|SAR|RRR) {image extension keyword: READOUT} varchar 3   --- ??
camRole MultiframeDetector WSA Camera role (master|slave|unsync) {image extension keyword: CAMROLE} varchar 8   NONE ??
camRole MultiframeDetector WSACalib Camera role (master|slave|unsync) {image extension keyword: CAMROLE} varchar 8   NONE ??
camRole MultiframeDetector WSATransit Camera role (master|slave|unsync) {image extension keyword: CAMROLE} varchar 8   NONE ??
camRole MultiframeDetector WSAUHS Camera role (master|slave|unsync) {image extension keyword: CAMROLE} varchar 8   NONE ??
cat twomass_sixx2_psc, twomass_sixx2_scn, twomass_sixx2_xsc 2MASS Catalog indicator 1=catalog, 0=not catalog smallint 2      
catalogueID MapFrameStatus WSAUHS Unique identifier for catalogue bigint 8   -99999999 meta_id;meta_main
catalogueID lasMapRemeasAver, MapFrameStatus WSA Unique identifier for catalogue bigint 8   -99999999 meta_id;meta_main
catalogueID MapProvenance WSA the UID of the component frame bigint 8     obs.field
catalogueID MapProvenance WSAUHS the UID of the component frame bigint 8     obs.field
catalogueID lasMapAverageWeights WSA Unique identifier for input catalogue bigint 8   -99999999 meta_id
catalogueID lasMapRemeasurement WSA Unique identifier for catalogue {catalogue extension keyword:  CATLGID} bigint 8   -99999999 meta_id;meta_main
catalogueSchema Programme WSA Script file that describes the catalogue schema varchar 64     ??
catalogueSchema Programme WSACalib Script file that describes the catalogue schema varchar 64     ??
catalogueSchema Programme WSATransit Script file that describes the catalogue schema varchar 64     ??
catalogueSchema Programme WSAUHS Script file that describes the catalogue schema varchar 64     ??
catCreationDate MultiframeDetector WSA Creation date/time of catalogue file {catalogue extension keyword:  DATE} datetime 8 MM-DD-YYYY:hh:mm:ss.sss 12-31-9999 ??
catCreationDate MultiframeDetector WSACalib Creation date/time of catalogue file {catalogue extension keyword:  DATE} datetime 8 MM-DD-YYYY:hh:mm:ss.sss 12-31-9999 ??
catCreationDate MultiframeDetector WSATransit Creation date/time of catalogue file {catalogue extension keyword:  DATE} datetime 8 MM-DD-YYYY:hh:mm:ss.sss 12-31-9999 ??
catCreationDate MultiframeDetector WSAUHS Creation date/time of catalogue file {catalogue extension keyword:  DATE} datetime 8 MM-DD-YYYY:hh:mm:ss.sss 12-31-9999 ??
catName MapFrameStatus WSA the filename of the associated catalogue MEF, eg. server:/path/filename_list.fits varchar 256   NONE ID_CATALOG
catName MapFrameStatus WSAUHS the filename of the associated catalogue MEF, eg. server:/path/filename_list.fits varchar 256   NONE ID_CATALOG
catName Multiframe WSA the filename of the associated catalogue MEF, eg. server:/path/filename.fits varchar 256     meta.id;meta.dataset
catName Multiframe WSACalib the filename of the associated catalogue MEF, eg. server:/path/filename.fits varchar 256     meta.id;meta.dataset
catName Multiframe WSATransit the filename of the associated catalogue MEF, eg. server:/path/filename.fits varchar 256     meta.id;meta.dataset
catName Multiframe WSAUHS the filename of the associated catalogue MEF, eg. server:/path/filename.fits varchar 256     meta.id;meta.dataset
catName iras_assoc_cats IRAS Source Name varchar 32     ID_MAIN
catNo iras_asc, iras_assoc_cats IRAS Catalog number tinyint 1     ID_CATALOG
cc_100 iras_psc IRAS point source correlation coefficient (100 micron). varchar 1     REMARKS
cc_12 iras_psc IRAS point source correlation coefficient (12 micron). varchar 1     REMARKS
cc_25 iras_psc IRAS point source correlation coefficient (25 micron). varchar 1     REMARKS
cc_60 iras_psc IRAS point source correlation coefficient (60 micron). varchar 1     REMARKS
cc_flags allwise_sc WISE Contamination and confusion flag. Four character string, one character per band [W1/W2/W3/W4], that indicates that the photometry and/or position measurements of a source may be contaminated or biased due to proximity to an image artifact. CAUTION: Non-zero cc_flags values in any band indicate the the measurement in that band may be contaminated and the photometry should be used with caution. varchar 4      
The type of artifact that may contaminate the measurements is denoted by the following codes. Lower-case letters correspond to instances in which the source detection in a band is believed to be real but the measurement may be contaminated by the artifact. Upper-case letters are instances in which the source detection in a band may be a spurious detection of an artifact.
  • D,d - Diffraction spike. Source may be a spurious detection of (D) or contaminated by (d) a diffraction spike from a nearby bright star on the same image, or
  • P,p - Persistence. Source may be a spurious detection of (P) or contaminated by (p) a short-term latent image left by a bright source, or
  • H,h - Halo. Source may be a spurious detection of (H) or contaminated by (h) the scattered light halo surrounding a nearby bright source, or
  • O,o (letter "o") - Optical ghost. Source may be a spurious detection of (O) or contaminated by (o) an optical ghost image caused by a nearby bright source, or
  • 0 (number zero) - Source is unaffected by known artifacts.
A source extraction may be affected by more than one type of artifact or condition. In this event, the cc_flags value in each band is set in the following priority order: D,P,H,O,d,p,h,o,0. The full tally of artifacts affecting a source in each band is given in the w?cc_map and w?cc_map_str columns. A source can appear in the AllWISE Source Catalog even if it is flagged as a spurious artifact detection in a band if there is a reliable detection in another band that is not flagged as a spurious artifact detection. Entries in the AllWISE Reject Table may be flagged as spurious detections of artifacts in all bands.
cc_flags catwise_2020, catwise_prelim WISE worst case 4 character cc_flag from AllWISE varchar 16      
cc_flags wise_allskysc WISE Contamination and confusion flag.
Four character strong, one character per band [W1/W2/W3/W4], that indicates that the photometry and/or position measurements of a source may be contaminated or biased due to proximity to an image artifact. CAUTION: Non-zero cc_flags values in any band indicate the the measurement in that band may be contaminated and the photometry should be used with caution.
char 4      
cc_flags wise_prelimsc WISE Contamination and confusion flag
Four character strong, one character per band [W1/W2/W3/W4], that indicates that the photometry and/or position measurements of a source may be contaminated or biased due to proximity to an image artifact
char 4      
cc_flg twomass_psc 2MASS Contamination and confusion flag. varchar 3     CODE_MISC
cc_flg twomass_sixx2_psc 2MASS indicates JHK artifact contamination and/or confusion varchar 3      
cc_flg twomass_sixx2_xsc 2MASS indicates artifact contamination and/or confusion varchar 1      
cc_flg twomass_xsc 2MASS indicates artifact contamination and/or confusion. varchar 1     CODE_MISC
CCD mgcDetection MGC CCD number tinyint 1      
ccdHeaterLevel Multiframe WSA AG CCD heater level (in percent) {image primary HDU keyword: CCD_HTP} real 4   -0.9999995e9  
ccdHeaterLevel Multiframe WSACalib AG CCD heater level (in percent) {image primary HDU keyword: CCD_HTP} real 4   -0.9999995e9  
ccdHeaterLevel Multiframe WSATransit AG CCD heater level (in percent) {image primary HDU keyword: CCD_HTP} real 4   -0.9999995e9  
ccdHeaterLevel Multiframe WSAUHS AG CCD heater level (in percent) {image primary HDU keyword: CCD_HTP} real 4   -0.9999995e9  
ccdm tycho2 GAIADR1 CCDM component identifier for Hipparcos stars varchar 4     meta.code.multip
ccdTemp Multiframe WSA AG CCD temperature {image primary HDU keyword: CCD_TEMP} real 4 degrees_Kelvin -0.9999995e9  
ccdTemp Multiframe WSACalib AG CCD temperature {image primary HDU keyword: CCD_TEMP} real 4 degrees_Kelvin -0.9999995e9  
ccdTemp Multiframe WSATransit AG CCD temperature {image primary HDU keyword: CCD_TEMP} real 4 degrees_Kelvin -0.9999995e9  
ccdTemp Multiframe WSAUHS AG CCD temperature {image primary HDU keyword: CCD_TEMP} real 4 degrees_Kelvin -0.9999995e9  
ccdTempSetPt Multiframe WSA AG CCD temperature setpoint {image primary HDU keyword: CCDTEMPS} real 4   -0.9999995e9  
ccdTempSetPt Multiframe WSACalib AG CCD temperature setpoint {image primary HDU keyword: CCDTEMPS} real 4   -0.9999995e9  
ccdTempSetPt Multiframe WSATransit AG CCD temperature setpoint {image primary HDU keyword: CCDTEMPS} real 4   -0.9999995e9  
ccdTempSetPt Multiframe WSAUHS AG CCD temperature setpoint {image primary HDU keyword: CCDTEMPS} real 4   -0.9999995e9  
cd11 CurrentAstrometry WSACalib Element of the linear transformation matrix (with scale) {image extension keyword: CD1_1} float 8     pos.wcs.cdmatrix
cd11 CurrentAstrometry WSATransit Element of the linear transformation matrix (with scale) {image extension keyword: CD1_1} float 8     pos.wcs.cdmatrix
cd11 CurrentAstrometry WSAUHS Element of the linear transformation matrix (with scale) {image extension keyword: CD1_1} float 8     pos.wcs.cdmatrix
cd11 CurrentAstrometry, PreviousAstrometry WSA Element of the linear transformation matrix (with scale) {image extension keyword: CD1_1} float 8     pos.wcs.cdmatrix
cd12 CurrentAstrometry WSACalib Element of the linear transformation matrix (with scale) {image extension keyword: CD1_2} float 8     pos.wcs.cdmatrix
cd12 CurrentAstrometry WSATransit Element of the linear transformation matrix (with scale) {image extension keyword: CD1_2} float 8     pos.wcs.cdmatrix
cd12 CurrentAstrometry WSAUHS Element of the linear transformation matrix (with scale) {image extension keyword: CD1_2} float 8     pos.wcs.cdmatrix
cd12 CurrentAstrometry, PreviousAstrometry WSA Element of the linear transformation matrix (with scale) {image extension keyword: CD1_2} float 8     pos.wcs.cdmatrix
cd21 CurrentAstrometry WSACalib Element of the linear transformation matrix (with scale) {image extension keyword: CD2_1} float 8     pos.wcs.cdmatrix
cd21 CurrentAstrometry WSATransit Element of the linear transformation matrix (with scale) {image extension keyword: CD2_1} float 8     pos.wcs.cdmatrix
cd21 CurrentAstrometry WSAUHS Element of the linear transformation matrix (with scale) {image extension keyword: CD2_1} float 8     pos.wcs.cdmatrix
cd21 CurrentAstrometry, PreviousAstrometry WSA Element of the linear transformation matrix (with scale) {image extension keyword: CD2_1} float 8     pos.wcs.cdmatrix
cd22 CurrentAstrometry WSACalib Element of the linear transformation matrix (with scale) {image extension keyword: CD2_2} float 8     pos.wcs.cdmatrix
cd22 CurrentAstrometry WSATransit Element of the linear transformation matrix (with scale) {image extension keyword: CD2_2} float 8     pos.wcs.cdmatrix
cd22 CurrentAstrometry WSAUHS Element of the linear transformation matrix (with scale) {image extension keyword: CD2_2} float 8     pos.wcs.cdmatrix
cd22 CurrentAstrometry, PreviousAstrometry WSA Element of the linear transformation matrix (with scale) {image extension keyword: CD2_2} float 8     pos.wcs.cdmatrix
centralDec CurrentAstrometry WSACalib Dec (J2000) at device centre float 8 Degrees -0.9999995e9 pos.eq.dec;meta.main
centralDec CurrentAstrometry WSATransit Dec (J2000) at device centre float 8 Degrees -0.9999995e9 pos.eq.dec;meta.main
centralDec CurrentAstrometry WSAUHS Dec (J2000) at device centre float 8 Degrees -0.9999995e9 pos.eq.dec;meta.main
centralDec CurrentAstrometry, PreviousAstrometry WSA Dec (J2000) at device centre float 8 Degrees -0.9999995e9 pos.eq.dec;meta.main
centralRa CurrentAstrometry WSACalib RA (J2000) at device centre float 8 Degrees -0.9999995e9 pos.eq.ra;meta.main
centralRa CurrentAstrometry WSATransit RA (J2000) at device centre float 8 Degrees -0.9999995e9 pos.eq.ra;meta.main
centralRa CurrentAstrometry WSAUHS RA (J2000) at device centre float 8 Degrees -0.9999995e9 pos.eq.ra;meta.main
centralRa CurrentAstrometry, PreviousAstrometry WSA RA (J2000) at device centre float 8 Degrees -0.9999995e9 pos.eq.ra;meta.main
CHI mgcGalaxyStruct MGC Chi^2 of GIM2D Fit real 4   99.99  
chi2 calVariability WSACalib Chi-squared value of astrometric solution real 4   -0.9999995e9 FIT_CHI2
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
chi2 dxsVariability, gcsVariability, gpsVariability, lasVariability, udsVariability WSA Chi-squared value of astrometric solution real 4   -0.9999995e9 FIT_CHI2
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
chi2 gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource WSA Chi-squared value of proper motion solution real 4   -0.9999995e9 FIT_CHI2
chi2 uhsVariability WSAUHS Chi-squared value of astrometric solution real 4   -0.9999995e9 FIT_CHI2
The Variability table contains statistics from the set of observations of each source. At present, the mean ra and dec and the error in two tangential directions are calculated. The "ra" direction is defined as tangential to both the radial direction and the cartesian z-axis and the "dec" direction is defined as both the radial direction and the "ra" direction. Since the current model is just the mean and standard deviation of the data, then the chi-squared of the fit=1. Data from good frames across all bands go into the astrometric model determination. This will include bands in non-synoptic filters: the one observation in these bands can help. In future releases a fit will be made to the rms data as a function of magnitude in each band, as has already happened for photometric data and a motion model that incorporates proper motion (and possibly parallax) will be used. The motion model is a parameter in the VarFrameSetInfo table.
chi2pmdec catwise_2020, catwise_prelim WISE chi-square for PMRA difference (1 DF) real 4      
chi2pmra catwise_2020, catwise_prelim WISE chi-square for PMRA difference (1 DF) real 4      
chi2s dxsAstrometricInfo, gcsAstrometricInfo, gpsAstrometricInfo, lasAstrometricInfo, udsAstrometricInfo WSA Reduced chi-squared of fit float 8   -0.9999995e9 ??
chi2s uhsAstrometricInfo WSAUHS Reduced chi-squared of fit float 8   -0.9999995e9 ??
CIR_BVAR MultiframeDetector WSA Latest estimate of background variance {image extension keyword: CIR_BVAR} real 4   -0.9999995e9 instr.background
CIR_BVAR MultiframeDetector WSACalib Latest estimate of background variance {image extension keyword: CIR_BVAR} real 4   -0.9999995e9 instr.background
CIR_BVAR MultiframeDetector WSATransit Latest estimate of background variance {image extension keyword: CIR_BVAR} real 4   -0.9999995e9 instr.background
CIR_BVAR MultiframeDetector WSAUHS Latest estimate of background variance {image extension keyword: CIR_BVAR} real 4   -0.9999995e9 instr.background
CIR_SCAL MultiframeDetector WSA Background scale relative to group maximum {image extension keyword: CIR_SCAL} real 4   -0.9999995e9 instr.background
CIR_SCAL MultiframeDetector WSACalib Background scale relative to group maximum {image extension keyword: CIR_SCAL} real 4   -0.9999995e9 instr.background
CIR_SCAL MultiframeDetector WSATransit Background scale relative to group maximum {image extension keyword: CIR_SCAL} real 4   -0.9999995e9 instr.background
CIR_SCAL MultiframeDetector WSAUHS Background scale relative to group maximum {image extension keyword: CIR_SCAL} real 4   -0.9999995e9 instr.background
CIR_ZERO MultiframeDetector WSA Pedestal value relative to group average {image extension keyword: CIR_ZERO} real 4   -0.9999995e9 stat.fit.param
CIR_ZERO MultiframeDetector WSACalib Pedestal value relative to group average {image extension keyword: CIR_ZERO} real 4   -0.9999995e9 stat.fit.param
CIR_ZERO MultiframeDetector WSATransit Pedestal value relative to group average {image extension keyword: CIR_ZERO} real 4   -0.9999995e9 stat.fit.param
CIR_ZERO MultiframeDetector WSAUHS Pedestal value relative to group average {image extension keyword: CIR_ZERO} real 4   -0.9999995e9 stat.fit.param
CIRMED MultiframeDetector WSA Latest estimate of background {image extension keyword: CIRMED} real 4   -0.9999995e9 instr.background
CIRMED MultiframeDetector WSACalib Latest estimate of background {image extension keyword: CIRMED} real 4   -0.9999995e9 instr.background
CIRMED MultiframeDetector WSATransit Latest estimate of background {image extension keyword: CIRMED} real 4   -0.9999995e9 instr.background
CIRMED MultiframeDetector WSAUHS Latest estimate of background {image extension keyword: CIRMED} real 4   -0.9999995e9 instr.background
cirr1 iras_psc IRAS Number of nearby 100 micron only WSDB sources tinyint 1     NUMBER
cirr2 iras_psc IRAS Spatially filtered 100 micron sky brightness ratio to flux density of point source tinyint 1     PHOT_FLUX_RATIO
cirr3 iras_psc IRAS Total 100 micron sky surface brightness smallint 2 MJy/sr   PHOT_SB_IR-100
CLASS mgcDetection MGC Classification parameter smallint 2      
class UKIDSSDetection WSA Flag indicating most probable morphological classification smallint 2     CLASS_MISC
class calDetection WSACalib Flag indicating most probable morphological classification {catalogue TType keyword: Classification}
-1 stellar, +1 non--stellar, 0 noise, -2 borderline stellar, -3 borderline galaxy, -9 saturated
smallint 2     CLASS_MISC
A discrete classification code for each detected image, based on various cuts on morphological parameters (see the Glossary entries for classStat and ell for further details). It is primarily based on cuts on the stellar profile statistic classStat and necessarily trades-off completeness against reliability between point-like (e.g. stellar) and extended (e.g. galaxy) images. The class assignments are as follows:
FlagMeaningGenerally satisfies
-2Probable star+2.0≤classStat≤+3.0
-1Star-3.0≤classStat≤+2.0
0NoiseclassStat≤-3.0
+1GalaxyclassStat≥+3.0

but these are also moderated by ellipticity overrides (e.g. ellipticity≥0.9 is flagged as class 0) and magnitude-dependent information (e.g. near or at saturation objects are preferentially flagged as class -1). Hence class is conservative in the sense that it defines galaxy samples optimised for completeness, and conversely point-source samples optimised for reliability. For examples of the use of the various classification attributes in sample selection, especially with respect to the trade-off between completeness and reliability for point/extended samples, see the Views predefined in the WSA schema (these can be examined using the schema browser). For much more information concerning the class attribute, see the CASU standard source extraction documentation.
class dxsDetection, gcsDetection, gpsDetection, lasDetection WSA Flag indicating most probable morphological classification {catalogue TType keyword: Classification}
-1 stellar, +1 non--stellar, 0 noise, -2 borderline stellar, -3 borderline galaxy, -9 saturated
smallint 2     CLASS_MISC
A discrete classification code for each detected image, based on various cuts on morphological parameters (see the Glossary entries for classStat and ell for further details). It is primarily based on cuts on the stellar profile statistic classStat and necessarily trades-off completeness against reliability between point-like (e.g. stellar) and extended (e.g. galaxy) images. The class assignments are as follows:
FlagMeaningGenerally satisfies
-2Probable star+2.0≤classStat≤+3.0
-1Star-3.0≤classStat≤+2.0
0NoiseclassStat≤-3.0
+1GalaxyclassStat≥+3.0

but these are also moderated by ellipticity overrides (e.g. ellipticity≥0.9 is flagged as class 0) and magnitude-dependent information (e.g. near or at saturation objects are preferentially flagged as class -1). Hence class is conservative in the sense that it defines galaxy samples optimised for completeness, and conversely point-source samples optimised for reliability. For examples of the use of the various classification attributes in sample selection, especially with respect to the trade-off between completeness and reliability for point/extended samples, see the Views predefined in the WSA schema (these can be examined using the schema browser). For much more information concerning the class attribute, see the CASU standard source extraction documentation.
class lasMapRemeasAver WSA Merged Flag indicating most probable morphological classification
-1 stellar, +1 non--stellar, 0 noise, -2 borderline stellar, -3 borderline galaxy, -9 saturated
smallint 2     src.class
A discrete classification code for each detected image, based on various cuts on morphological parameters (see the Glossary entries for classStat and ell for further details). It is primarily based on cuts on the stellar profile statistic classStat and necessarily trades-off completeness against reliability between point-like (e.g. stellar) and extended (e.g. galaxy) images. The class assignments are as follows:
FlagMeaningGenerally satisfies
-2Probable star+2.0≤classStat≤+3.0
-1Star-3.0≤classStat≤+2.0
0NoiseclassStat≤-3.0
+1GalaxyclassStat≥+3.0

but these are also moderated by ellipticity overrides (e.g. ellipticity≥0.9 is flagged as class 0) and magnitude-dependent information (e.g. near or at saturation objects are preferentially flagged as class -1). Hence class is conservative in the sense that it defines galaxy samples optimised for completeness, and conversely point-source samples optimised for reliability. For examples of the use of the various classification attributes in sample selection, especially with respect to the trade-off between completeness and reliability for point/extended samples, see the Views predefined in the WSA schema (these can be examined using the schema browser). For much more information concerning the class attribute, see the CASU standard source extraction documentation.
class lasMapRemeasurement WSA Flag indicating most probable morphological classification {catalogue TType keyword: Classification}
-1 stellar, +1 non--stellar, 0 noise, -2 borderline stellar, -3 borderline galaxy, -9 saturated
smallint 2     stat
A discrete classification code for each detected image, based on various cuts on morphological parameters (see the Glossary entries for classStat and ell for further details). It is primarily based on cuts on the stellar profile statistic classStat and necessarily trades-off completeness against reliability between point-like (e.g. stellar) and extended (e.g. galaxy) images. The class assignments are as follows:
FlagMeaningGenerally satisfies
-2Probable star+2.0≤classStat≤+3.0
-1Star-3.0≤classStat≤+2.0
0NoiseclassStat≤-3.0
+1GalaxyclassStat≥+3.0

but these are also moderated by ellipticity overrides (e.g. ellipticity≥0.9 is flagged as class 0) and magnitude-dependent information (e.g. near or at saturation objects are preferentially flagged as class -1). Hence class is conservative in the sense that it defines galaxy samples optimised for completeness, and conversely point-source samples optimised for reliability. For examples of the use of the various classification attributes in sample selection, especially with respect to the trade-off between completeness and reliability for point/extended samples, see the Views predefined in the WSA schema (these can be examined using the schema browser). For much more information concerning the class attribute, see the CASU standard source extraction documentation.
class ptsDetection WSATransit Flag indicating most probable morphological classification {catalogue TType keyword: Classification}
-1 stellar, +1 non--stellar, 0 noise, -2 borderline stellar, -3 borderline galaxy, -9 saturated
smallint 2     CLASS_MISC
A discrete classification code for each detected image, based on various cuts on morphological parameters (see the Glossary entries for classStat and ell for further details). It is primarily based on cuts on the stellar profile statistic classStat and necessarily trades-off completeness against reliability between point-like (e.g. stellar) and extended (e.g. galaxy) images. The class assignments are as follows:
FlagMeaningGenerally satisfies
-2Probable star+2.0≤classStat≤+3.0
-1Star-3.0≤classStat≤+2.0
0NoiseclassStat≤-3.0
+1GalaxyclassStat≥+3.0

but these are also moderated by ellipticity overrides (e.g. ellipticity≥0.9 is flagged as class 0) and magnitude-dependent information (e.g. near or at saturation objects are preferentially flagged as class -1). Hence class is conservative in the sense that it defines galaxy samples optimised for completeness, and conversely point-source samples optimised for reliability. For examples of the use of the various classification attributes in sample selection, especially with respect to the trade-off between completeness and reliability for point/extended samples, see the Views predefined in the WSA schema (these can be examined using the schema browser). For much more information concerning the class attribute, see the CASU standard source extraction documentation.
class udsDetection WSA Flag indicating most probable morphological classification {catalogue TType keyword: Classification}
-1 stellar, +1 non--stellar, 0 noise, -2 borderline stellar, -3 boderline galaxy, -9 saturated
smallint 2     CLASS_MISC
Using the SE classification statistic (see the corresponding entry for classStat), a CASU-like discrete classification code is assigned for each detected object as follows:
FlagMeaning
-9Saturated
-3Probable galaxy
-2Probable star
-1Star
+1Galaxy

where rectangular regions in the magnitude-classStat plane are used to select each class.
class uhsDetection, uhsDetectionAll WSAUHS Flag indicating most probable morphological classification {catalogue TType keyword: Classification}
-1 stellar, +1 non--stellar, 0 noise, -2 borderline stellar, -3 borderline galaxy, -9 saturated
smallint 2     CLASS_MISC
A discrete classification code for each detected image, based on various cuts on morphological parameters (see the Glossary entries for classStat and ell for further details). It is primarily based on cuts on the stellar profile statistic classStat and necessarily trades-off completeness against reliability between point-like (e.g. stellar) and extended (e.g. galaxy) images. The class assignments are as follows:
FlagMeaningGenerally satisfies
-2Probable star+2.0≤classStat≤+3.0
-1Star-3.0≤classStat≤+2.0
0NoiseclassStat≤-3.0
+1GalaxyclassStat≥+3.0

but these are also moderated by ellipticity overrides (e.g. ellipticity≥0.9 is flagged as class 0) and magnitude-dependent information (e.g. near or at saturation objects are preferentially flagged as class -1). Hence class is conservative in the sense that it defines galaxy samples optimised for completeness, and conversely point-source samples optimised for reliability. For examples of the use of the various classification attributes in sample selection, especially with respect to the trade-off between completeness and reliability for point/extended samples, see the Views predefined in the WSA schema (these can be examined using the schema browser). For much more information concerning the class attribute, see the CASU standard source extraction documentation.
classification igsl_source GAIADR1 Classification, simply a 0=star and 1=nonstar taken from different sources as given in the souce_classification field bit 1     meta.code.class
classification variable_summary GAIADR1 Photometric variability classification "RRLYR" (for RR Lyrae) or "CEP" (for Cepheid) varchar 8     meta.code.class;src.var
classStat UKIDSSDetection WSA N(0,1) stellarness-of-profile statistic real 4     STAT_PROP
classStat calDetection WSACalib N(0,1) stellarness-of-profile statistic {catalogue TType keyword: Statistic} real 4     STAT_PROP
An equivalent N(0,1) measure of how point-like an image is, used in deriving the class attribute in a 'necessary but not sufficient' sense. Derived mainly from the curve-of-growth of flux using the well-defined stellar locus as a function of magnitude as a benchmark (see Irwin et al. 2004 SPIE 5493 411 for more details). Note that the assignment of the discrete classification flag class=-1 is based on a cut of -3.0≤classStat≤+2.0 cut on this statistic (along with ellipticity and magnitude information) and hence is conservative in the sense that it defines galaxy samples optimised for completeness, and conversely stellar samples optimised for reliability. For examples of the use of the various classification attributes in sample selection, especially with respect to the trade-off between completeness and reliability for point or extended samples, see the Views predefined in the WSA schema (these can be examined using the schema browser).
classStat dxsDetection, gcsDetection, gpsDetection, lasDetection WSA N(0,1) stellarness-of-profile statistic {catalogue TType keyword: Statistic} real 4     STAT_PROP
An equivalent N(0,1) measure of how point-like an image is, used in deriving the class attribute in a 'necessary but not sufficient' sense. Derived mainly from the curve-of-growth of flux using the well-defined stellar locus as a function of magnitude as a benchmark (see Irwin et al. 2004 SPIE 5493 411 for more details). Note that the assignment of the discrete classification flag class=-1 is based on a cut of -3.0≤classStat≤+2.0 cut on this statistic (along with ellipticity and magnitude information) and hence is conservative in the sense that it defines galaxy samples optimised for completeness, and conversely stellar samples optimised for reliability. For examples of the use of the various classification attributes in sample selection, especially with respect to the trade-off between completeness and reliability for point or extended samples, see the Views predefined in the WSA schema (these can be examined using the schema browser).
classStat lasMapRemeasAver WSA Averaged N(0,1) stellarness-of-profile statistic (SE: classification statistic CLASS_STAR; 0 - galaxy, 1 - star) real 4     stat
An equivalent N(0,1) measure of how point-like an image is, used in deriving the class attribute in a 'necessary but not sufficient' sense. Derived mainly from the curve-of-growth of flux using the well-defined stellar locus as a function of magnitude as a benchmark (see Irwin et al. 2004 SPIE 5493 411 for more details). Note that the assignment of the discrete classification flag class=-1 is based on a cut of -3.0≤classStat≤+2.0 cut on this statistic (along with ellipticity and magnitude information) and hence is conservative in the sense that it defines galaxy samples optimised for completeness, and conversely stellar samples optimised for reliability. For examples of the use of the various classification attributes in sample selection, especially with respect to the trade-off between completeness and reliability for point or extended samples, see the Views predefined in the WSA schema (these can be examined using the schema browser).
classStat lasMapRemeasurement WSA N(0,1) stellarness-of-profile statistic (SE: classification statistic CLASS_STAR; 0 - galaxy, 1 - star) {catalogue TType keyword: Statistic} real 4     stat
An equivalent N(0,1) measure of how point-like an image is, used in deriving the class attribute in a 'necessary but not sufficient' sense. Derived mainly from the curve-of-growth of flux using the well-defined stellar locus as a function of magnitude as a benchmark (see Irwin et al. 2004 SPIE 5493 411 for more details). Note that the assignment of the discrete classification flag class=-1 is based on a cut of -3.0≤classStat≤+2.0 cut on this statistic (along with ellipticity and magnitude information) and hence is conservative in the sense that it defines galaxy samples optimised for completeness, and conversely stellar samples optimised for reliability. For examples of the use of the various classification attributes in sample selection, especially with respect to the trade-off between completeness and reliability for point or extended samples, see the Views predefined in the WSA schema (these can be examined using the schema browser).
classStat ptsDetection WSATransit N(0,1) stellarness-of-profile statistic {catalogue TType keyword: Statistic} real 4     STAT_PROP
An equivalent N(0,1) measure of how point-like an image is, used in deriving the class attribute in a 'necessary but not sufficient' sense. Derived mainly from the curve-of-growth of flux using the well-defined stellar locus as a function of magnitude as a benchmark (see Irwin et al. 2004 SPIE 5493 411 for more details). Note that the assignment of the discrete classification flag class=-1 is based on a cut of -3.0≤classStat≤+2.0 cut on this statistic (along with ellipticity and magnitude information) and hence is conservative in the sense that it defines galaxy samples optimised for completeness, and conversely stellar samples optimised for reliability. For examples of the use of the various classification attributes in sample selection, especially with respect to the trade-off between completeness and reliability for point or extended samples, see the Views predefined in the WSA schema (these can be examined using the schema browser).
classStat udsDetection WSA S-Extractor classification statistic CLASS_STAR (0 - galaxy, 1 - star) {catalogue TType keyword: Statistic} real 4     STAT_PROP
CLASS_STAR is SE's classification of objects on the basis of a Neural Network Output. There are several input parameters which are directly linked to the CLASS_STAR parameter:
PIXEL_SCALEPixel size in arsec.
SEEING_FWHMFWHM of stellar images in arcsec.
BACK_SIZESize, or Width, Height (in pixels) of a background mesh.
THRESH_TYPEMeaning of the DETECT_THRESH and ANALYSIS_THRESH parameters: RELATIVE (scaling factor to the background rms) or ABSOLUTE (absolute level)
ANALYSIS_THRESHThreshold (in surface brightness) at which CLASS_STAR and FWHM operate: 1argument (relative to background rms) or 2 arguments (mu[mag/arcsec²], zero-point [mag])

A perfectly point-like (stellar) object has class=1.0.
classStat uhsDetection, uhsDetectionAll WSAUHS N(0,1) stellarness-of-profile statistic {catalogue TType keyword: Statistic} real 4     STAT_PROP
An equivalent N(0,1) measure of how point-like an image is, used in deriving the class attribute in a 'necessary but not sufficient' sense. Derived mainly from the curve-of-growth of flux using the well-defined stellar locus as a function of magnitude as a benchmark (see Irwin et al. 2004 SPIE 5493 411 for more details). Note that the assignment of the discrete classification flag class=-1 is based on a cut of -3.0≤classStat≤+2.0 cut on this statistic (along with ellipticity and magnitude information) and hence is conservative in the sense that it defines galaxy samples optimised for completeness, and conversely stellar samples optimised for reliability. For examples of the use of the various classification attributes in sample selection, especially with respect to the trade-off between completeness and reliability for point or extended samples, see the Views predefined in the WSA schema (these can be examined using the schema browser).
clat twomass_sixx2_psc, twomass_sixx2_scn 2MASS The computed dec (J2000 EQ) of scan center in sexigesimal. varchar 16      
clat twomass_sixx2_xsc 2MASS The computed dec (J2000 EQ) in sexigesimal. varchar 16      
cld twomass_scn 2MASS Special flag indicating whether or not a cloud was found in the scan after comparison of its photometry to that of overlapping scans in the database. smallint 2     CODE_MISC
cld twomass_sixx2_scn 2MASS downgrade from DB photom. overlap comparison (clouds) (0|1) smallint 2      
clon twomass_sixx2_psc, twomass_sixx2_scn 2MASS The computed ra (J2000 EQ) of scan center in sexigesimal. varchar 16      
clon twomass_sixx2_xsc 2MASS The computed ra (J2000 EQ) in sexigesimal. varchar 16      
cntr allwise_sc WISE Unique identification number for this object in the AllWISE Catalog/Reject Table. This number is formed from the source_id, which is in turn formed from the coadd_id and source number, src. bigint 8      
The cntr value is formed by making the source_id into an integer, in the format: RRRRsDDDtrevIIIIII, where
  • RRRR = Tile center RA in deci-degrees, truncated not rounded (e.g. RRRR=int[10*ra]), as in the coadd_id.
  • s = Tile center Declination sign translated from "p" or "m" into "1" or "0", respectively.
  • DDD = Tile center Declination in deci-degrees, as in the coadd_id. For positive declinations, the tenths of a degree is truncated not rounded (e.g. DDD=int[10*dec]). For negative declinations, the tenths of a degree is always truncated leftward on the number line (e.g. DDD=ceil[10*abs(dec)].
  • [trev] = Disambiguation string, translated where necessary into digits corresponding to the letters' places in the alphabet.
    • t - Tile type translated into two digits, zero-filled ("a" = "01").
    • r - Data Release identifier translated into a single digit, (For AllWISE: "c" = "3").
    • e - Survey Phase ("5" = AllWISE [Full cryogenic + 3-Band Cryo + Post-Cryo]).
    • v - Processing version.

    The translated disambiguation string is always 01351 for AllWISE.

  • IIIIII = six-digit, zero-filled, sequential extracted source number, src, within the Tile.

For example, a source in the Tile 3041m137_ac51, with a source_id of '3041m137_ac51-012345', has a cntr value of 3041013701351012345.

NOTE: AllWISE Catalog and Reject Table entries are cross-referenced with the Multiepoch Photometry (MEP) Database via the cntr identifier. The Catalog/Reject Table cntr value is referred to as cntr_mf in the MEP Database.

cntr catwise_2020, catwise_prelim WISE Unique identifier int 4      
cntr twomass_sixx2_scn, twomass_sixx2_xsc 2MASS entry counter (key) number (unique within table) int 4      
cntr wise_allskysc WISE Unique identification number for the Catalog source
This number is formed entirely from the source_id, which is in turn formed from the coadd_id and source number src. On average, sources with cntr values close to each other are also close to each other on the sky, except at Tile boundaries.
bigint 8     ID_MAIN
cntr wise_prelimsc WISE Unique identification number for the Catalog source
This number is formed entirely from the source_id, which is in turn formed from the coadd_id and source number src. On average, sources with cntr values close to each other are also close to each other on the sky, except at Tile boundaries
bigint 8     ID_MAIN
coadd twomass_psc 2MASS Sequence number of the Atlas Image in which the position of this source falls. smallint 2     NUMBER
coadd twomass_xsc 2MASS 3-digit coadd number (unique within scan). smallint 2     NUMBER
coadd_id allwise_sc WISE Atlas Tile identifier from which source was extracted. varchar 20      
The identifier has the general form: RRRRsDDD_[trev], where
  • RRRR = Tile center RA in deci-degrees, truncated not rounded (e.g. RRRR=int[10*ra]).
  • s = Tile center Declination sign ("p"="+", "m"="-")
  • DDD = Tile center Declination in deci-degrees. For positive declinations, the tenths of a degree is truncated not rounded (e.g. DDD=int[10*dec]). For negative declinations, the tenths of a degree is always truncated leftward on the number line (e.g. DDD=ceil[10*abs(dec)].
  • [trev] = Disambiguation string.
    • t - Tile type ("a" = Atlas)
    • r - Data Release ("c" = AllWISE)
    • e - Survey Phase ("5" = AllWISE [Full Cryogenic + 3-Band Cryo + Post-Cryo])
    • v - Processing version.

    The disambiguation string is always ac51 for Tiles in the AllWISE Release products.

coadd_id wise_allskysc WISE Atlas Tile identifier from which source was extracted. char 20      
coadd_id wise_prelimsc WISE Atlas Tile identifier from which source was extracted char 20      
coadd_key twomass_psc 2MASS Unique identification number of the record in the Atlas Image Data Table (NOT YET AVAILABLE) that corresponds to Image in which the position of this source falls. int 4     ID_NUMBER
coadd_key twomass_xsc 2MASS key to coadd data record in "scan DB". int 4     ID_NUMBER
combicatID MapProvenance WSA the UID of the combined frame (=combiframe) bigint 8     obs.field
combicatID MapProvenance WSAUHS the UID of the combined frame (=combiframe) bigint 8     obs.field
combicatID lasMapAverageWeights WSA Unique identifier for combined average catalogue bigint 8   -99999999 meta_id;meta_main
combiframeID Provenance WSA the UID of the combined frame (=combiframe) bigint 8     obs.field
combiframeID Provenance WSACalib the UID of the combined frame (=combiframe) bigint 8     obs.field
combiframeID Provenance WSATransit the UID of the combined frame (=combiframe) bigint 8     obs.field
combiframeID Provenance WSAUHS the UID of the combined frame (=combiframe) bigint 8     obs.field
combiProdType ProductLinks WSA Type (stack,tile,mosaic) of combination frame varchar 8     ??
combiProdType ProductLinks WSAUHS Type (stack,tile,mosaic) of combination frame varchar 8     ??
combiProductID ProductLinks WSA Product ID of combination frame int 4     ??
combiProductID ProductLinks WSAUHS Product ID of combination frame int 4     ??
comment ArchiveCurationHistory WSA Comment string supplied by the curator varchar 256     ??
comment ArchiveCurationHistory WSACalib Comment string supplied by the curator varchar 256     ??
comment ArchiveCurationHistory WSATransit Comment string supplied by the curator varchar 256     ??
comment ArchiveCurationHistory WSAUHS Comment string supplied by the curator varchar 256     ??
compFile MultiframeDetector WSA Filename of the compressed image of this image frame, eg. server:/path/filename.jpg varchar 256   NONE meta.id;meta.file
compFile MultiframeDetector WSACalib Filename of the compressed image of this image frame, eg. server:/path/filename.jpg varchar 256   NONE meta.id;meta.file
compFile MultiframeDetector WSATransit Filename of the compressed image of this image frame, eg. server:/path/filename.jpg varchar 256   NONE meta.id;meta.file
compFile MultiframeDetector WSAUHS Filename of the compressed image of this image frame, eg. server:/path/filename.jpg varchar 256   NONE meta.id;meta.file
conf glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca GLIMPSE Close source flag smallint 2   -9 CODE_MISC
conf glimpse_hrc_inter, glimpse_mca_inter GLIMPSE Confusion flag smallint 2   -9 CODE_MISC
confID Multiframe WSA UID of library calibration confidence frame {image extension keyword: CIR_CPM} bigint 8   -99999999 obs.field
confID Multiframe WSACalib UID of library calibration confidence frame {image extension keyword: CIR_CPM} bigint 8   -99999999 obs.field
confID Multiframe WSATransit UID of library calibration confidence frame {image extension keyword: CIR_CPM} bigint 8   -99999999 obs.field
confID Multiframe WSAUHS UID of library calibration confidence frame {image extension keyword: CIR_CPM} bigint 8   -99999999 obs.field
configIndex MultiframeDetector WSA Configuration index {image extension keyword: CNFINDEX} int 4   -99999999 spect.index
configIndex MultiframeDetector WSACalib Configuration index {image extension keyword: CNFINDEX} int 4   -99999999 spect.index
configIndex MultiframeDetector WSATransit Configuration index {image extension keyword: CNFINDEX} int 4   -99999999 spect.index
configIndex MultiframeDetector WSAUHS Configuration index {image extension keyword: CNFINDEX} int 4   -99999999 spect.index
confuse_100 iras_psc IRAS Confusion flag (100 micron) tinyint 1     REMARKS
confuse_12 iras_psc IRAS Confusion flag (12 micron) tinyint 1     REMARKS
confuse_25 iras_psc IRAS Confusion flag (25 micron) tinyint 1     REMARKS
confuse_60 iras_psc IRAS Confusion flag (60 micron) tinyint 1     REMARKS
CONFUSED twoxmmi_dr3_v1_0 XMM This flag (True/False) signifies that the 3-sigma error circle of a detection within this unique source overlaps the 3-sigma error circle of a nearby unique source. As such, it is an indicator of possible confusion (uncertainty) about the assignment of detections between sources. varchar 5      
CONFUSED xmm3dr4 XMM Normally set 0 (= False), but set 1 (= True) when a given detection has a probability above zero of being associated with two or more distinct sources. The SRCID is that of the match with the highest probability, but there remains some uncertainty about which source is the correct match for the detection. bit 1      
contam_flg twomass_xsc 2MASS contamination flag: 0=no stars, 1=stellar flux incl. in mag. smallint 2     CODE_MISC
convSegm RequiredMosaicTopLevel WSAUHS Convolution segmentation software varchar 16      
coord1 ExternalSurveyTable WSA The attribute name of the first (longitudinal) spherical co-ordinate, e.g. equatorial RA varchar 32     ??
coord1 ExternalSurveyTable WSACalib The attribute name of the first (longitudinal) spherical co-ordinate, e.g. equatorial RA varchar 32     ??
coord1 ExternalSurveyTable WSATransit The attribute name of the first (longitudinal) spherical co-ordinate, e.g. equatorial RA varchar 32     ??
coord1 ExternalSurveyTable WSAUHS The attribute name of the first (longitudinal) spherical co-ordinate, e.g. equatorial RA varchar 32     ??
coord2 ExternalSurveyTable WSA The attribute name of the second (latitudinal) spherical co-ordinate, e.g. equatorial Dec varchar 32     ??
coord2 ExternalSurveyTable WSACalib The attribute name of the second (latitudinal) spherical co-ordinate, e.g. equatorial Dec varchar 32     ??
coord2 ExternalSurveyTable WSATransit The attribute name of the second (latitudinal) spherical co-ordinate, e.g. equatorial Dec varchar 32     ??
coord2 ExternalSurveyTable WSAUHS The attribute name of the second (latitudinal) spherical co-ordinate, e.g. equatorial Dec varchar 32     ??
coreRadius MultiframeDetector WSA Core radius for default profile fit {catalogue extension keyword:  RCORE} real 4 pixels -0.9999995e9 ??
Tunable parameter, aperture flux designed to match median seeing of survey data. It is straightforward to show that if rcore = FWHM then for typical profiles encountered the rcore flux estimate has between 80-90% of the accuracy of an idealised perfectly known PSF model method.
coreRadius MultiframeDetector WSACalib Core radius for default profile fit {catalogue extension keyword:  RCORE} real 4 pixels -0.9999995e9 ??
Tunable parameter, aperture flux designed to match median seeing of survey data. It is straightforward to show that if rcore = FWHM then for typical profiles encountered the rcore flux estimate has between 80-90% of the accuracy of an idealised perfectly known PSF model method.
coreRadius MultiframeDetector WSATransit Core radius for default profile fit {catalogue extension keyword:  RCORE} real 4 pixels -0.9999995e9 ??
Tunable parameter, aperture flux designed to match median seeing of survey data. It is straightforward to show that if rcore = FWHM then for typical profiles encountered the rcore flux estimate has between 80-90% of the accuracy of an idealised perfectly known PSF model method.
coreRadius MultiframeDetector WSAUHS Core radius for default profile fit {catalogue extension keyword:  RCORE} real 4 pixels -0.9999995e9 ??
Tunable parameter, aperture flux designed to match median seeing of survey data. It is straightforward to show that if rcore = FWHM then for typical profiles encountered the rcore flux estimate has between 80-90% of the accuracy of an idealised perfectly known PSF model method.
corPlateTemp Multiframe WSA Cor plate temperature {image primary HDU keyword: CP_TEMP} real 4 degrees_Kelvin -0.9999995e9  
corPlateTemp Multiframe WSACalib Cor plate temperature {image primary HDU keyword: CP_TEMP} real 4 degrees_Kelvin -0.9999995e9  
corPlateTemp Multiframe WSATransit Cor plate temperature {image primary HDU keyword: CP_TEMP} real 4 degrees_Kelvin -0.9999995e9  
corPlateTemp Multiframe WSAUHS Cor plate temperature {image primary HDU keyword: CP_TEMP} real 4 degrees_Kelvin -0.9999995e9  
corr tycho2 GAIADR1 Correlation (ra_deg,de_deg) float 8     stat.correlation
corrPointingDec ProblemFrames WSA Corrected pointing Declination float 8 deg    
corrPointingDec ProblemFrames WSAUHS Corrected pointing Declination float 8 deg    
corrPointingRa ProblemFrames WSA Corrected pointing Right Ascension float 8 deg    
corrPointingRa ProblemFrames WSAUHS Corrected pointing Right Ascension float 8 deg    
creationDate Multiframe WSA File creation date (YYYY-MM-DD HH:MM:SS) {image primary HDU keyword: DATE} datetime 8 MM-DD-YYYY 12-31-9999 time.epoch
creationDate Multiframe WSACalib File creation date (YYYY-MM-DD HH:MM:SS) {image primary HDU keyword: DATE} datetime 8 MM-DD-YYYY 12-31-9999 time.epoch
creationDate Multiframe WSATransit File creation date (YYYY-MM-DD HH:MM:SS) {image primary HDU keyword: DATE} datetime 8 MM-DD-YYYY 12-31-9999 time.epoch
creationDate Multiframe WSAUHS File creation date (YYYY-MM-DD HH:MM:SS) {image primary HDU keyword: DATE} datetime 8 MM-DD-YYYY 12-31-9999 time.epoch
creationDate MultiframeDetector WSA Creation date/time of file {image extension keyword: DATE} datetime 8 MM-DD-YYYY:hh:mm:ss.sss 12-31-9999 ??
creationDate MultiframeDetector WSACalib Creation date/time of file {image extension keyword: DATE} datetime 8 MM-DD-YYYY:hh:mm:ss.sss 12-31-9999 ??
creationDate MultiframeDetector WSATransit Creation date/time of file {image extension keyword: DATE} datetime 8 MM-DD-YYYY:hh:mm:ss.sss 12-31-9999 ??
creationDate MultiframeDetector WSAUHS Creation date/time of file {image extension keyword: DATE} datetime 8 MM-DD-YYYY:hh:mm:ss.sss 12-31-9999 ??
creator ExternalProduct WSA Name of the individual that created the product varchar 32     ??
creator ExternalProduct WSAUHS Name of the individual that created the product varchar 32     ??
crowdedFlag MultiframeDetector WSA Crowded field analysis flag (0 none, 1 active) {catalogue extension keyword:  CROWDED} tinyint 1   0 meta.code
Tunable parameter, detection algorithm tried to disentangle overlapping images or images superposed on the "slowly" varying background of other large images (default) otherwise just straightforward isophotal detection.
crowdedFlag MultiframeDetector WSACalib Crowded field analysis flag (0 none, 1 active) {catalogue extension keyword:  CROWDED} tinyint 1   0 meta.code
Tunable parameter, detection algorithm tried to disentangle overlapping images or images superposed on the "slowly" varying background of other large images (default) otherwise just straightforward isophotal detection.
crowdedFlag MultiframeDetector WSATransit Crowded field analysis flag (0 none, 1 active) {catalogue extension keyword:  CROWDED} tinyint 1   0 meta.code
Tunable parameter, detection algorithm tried to disentangle overlapping images or images superposed on the "slowly" varying background of other large images (default) otherwise just straightforward isophotal detection.
crowdedFlag MultiframeDetector WSAUHS Crowded field analysis flag (0 none, 1 active) {catalogue extension keyword:  CROWDED} tinyint 1   0 meta.code
Tunable parameter, detection algorithm tried to disentangle overlapping images or images superposed on the "slowly" varying background of other large images (default) otherwise just straightforward isophotal detection.
crPixX CurrentAstrometry WSACalib Pixel coordinate of the reference point on axis 1 {image extension keyword: CRPIX1} float 8 pixels   pos.cartesian.x;instr.det
crPixX CurrentAstrometry WSATransit Pixel coordinate of the reference point on axis 1 {image extension keyword: CRPIX1} float 8 pixels   pos.cartesian.x;instr.det
crPixX CurrentAstrometry WSAUHS Pixel coordinate of the reference point on axis 1 {image extension keyword: CRPIX1} float 8 pixels   pos.cartesian.x;instr.det
crPixX CurrentAstrometry, PreviousAstrometry WSA Pixel coordinate of the reference point on axis 1 {image extension keyword: CRPIX1} float 8 pixels   pos.cartesian.x;instr.det
crPixY CurrentAstrometry WSACalib Pixel coordinate of the reference point on axis 2 {image extension keyword: CRPIX2} float 8 pixels   pos.cartesian.y;instr.det
crPixY CurrentAstrometry WSATransit Pixel coordinate of the reference point on axis 2 {image extension keyword: CRPIX2} float 8 pixels   pos.cartesian.y;instr.det
crPixY CurrentAstrometry WSAUHS Pixel coordinate of the reference point on axis 2 {image extension keyword: CRPIX2} float 8 pixels   pos.cartesian.y;instr.det
crPixY CurrentAstrometry, PreviousAstrometry WSA Pixel coordinate of the reference point on axis 2 {image extension keyword: CRPIX2} float 8 pixels   pos.cartesian.y;instr.det
crUnit1 CurrentAstrometry WSACalib Unit of right ascension co-ordinates {image extension keyword: CRUNIT1} varchar 8   NONE  
crUnit1 CurrentAstrometry WSATransit Unit of right ascension co-ordinates {image extension keyword: CRUNIT1} varchar 8   NONE  
crUnit1 CurrentAstrometry WSAUHS Unit of right ascension co-ordinates {image extension keyword: CRUNIT1} varchar 8   NONE  
crUnit1 CurrentAstrometry, PreviousAstrometry WSA Unit of right ascension co-ordinates {image extension keyword: CRUNIT1} varchar 8   NONE  
crUnit2 CurrentAstrometry WSACalib Unit of declination co-ordinates {image extension keyword: CRUNIT2} varchar 8   NONE  
crUnit2 CurrentAstrometry WSATransit Unit of declination co-ordinates {image extension keyword: CRUNIT2} varchar 8   NONE  
crUnit2 CurrentAstrometry WSAUHS Unit of declination co-ordinates {image extension keyword: CRUNIT2} varchar 8   NONE  
crUnit2 CurrentAstrometry, PreviousAstrometry WSA Unit of declination co-ordinates {image extension keyword: CRUNIT2} varchar 8   NONE  
crValX CurrentAstrometry WSACalib Coordinate value at reference point on axis 1 {image extension keyword: CRVAL1} float 8   -0.9999995e9 pos.cartesian.x;instr.det
crValX CurrentAstrometry WSATransit Coordinate value at reference point on axis 1 {image extension keyword: CRVAL1} float 8   -0.9999995e9 pos.cartesian.x;instr.det
crValX CurrentAstrometry WSAUHS Coordinate value at reference point on axis 1 {image extension keyword: CRVAL1} float 8   -0.9999995e9 pos.cartesian.x;instr.det
crValX CurrentAstrometry, PreviousAstrometry WSA Coordinate value at reference point on axis 1 {image extension keyword: CRVAL1} float 8   -0.9999995e9 pos.cartesian.x;instr.det
crValY CurrentAstrometry WSACalib Coordinate value at reference point on axis 2 {image extension keyword: CRVAL2} float 8   -0.9999995e9 pos.cartesian.y;instr.det
crValY CurrentAstrometry WSATransit Coordinate value at reference point on axis 2 {image extension keyword: CRVAL2} float 8   -0.9999995e9 pos.cartesian.y;instr.det
crValY CurrentAstrometry WSAUHS Coordinate value at reference point on axis 2 {image extension keyword: CRVAL2} float 8   -0.9999995e9 pos.cartesian.y;instr.det
crValY CurrentAstrometry, PreviousAstrometry WSA Coordinate value at reference point on axis 2 {image extension keyword: CRVAL2} float 8   -0.9999995e9 pos.cartesian.y;instr.det
cryostPres Multiframe WSA Cryostat Pressure {image primary HDU keyword: CC_PRES} float 8 millibar -0.9999995e9  
cryostPres Multiframe WSACalib Cryostat Pressure {image primary HDU keyword: CC_PRES} float 8 millibar -0.9999995e9  
cryostPres Multiframe WSATransit Cryostat Pressure {image primary HDU keyword: CC_PRES} float 8 millibar -0.9999995e9  
cryostPres Multiframe WSAUHS Cryostat Pressure {image primary HDU keyword: CC_PRES} float 8 millibar -0.9999995e9  
cTypeX CurrentAstrometry WSACalib G&C WCS type, eg 'RA---ZPN' {image extension keyword: CTYPE1} varchar 8     pos.eq.ra;meta.main
cTypeX CurrentAstrometry WSATransit G&C WCS type, eg 'RA---ZPN' {image extension keyword: CTYPE1} varchar 8     pos.eq.ra;meta.main
cTypeX CurrentAstrometry WSAUHS G&C WCS type, eg 'RA---ZPN' {image extension keyword: CTYPE1} varchar 8     pos.eq.ra;meta.main
cTypeX CurrentAstrometry, PreviousAstrometry WSA G&C WCS type, eg 'RA---ZPN' {image extension keyword: CTYPE1} varchar 8     pos.eq.ra;meta.main
cTypeY CurrentAstrometry WSACalib G&C WCS type, eg 'DEC--ZPN' {image extension keyword: CTYPE2} varchar 8     pos.eq.dec;meta.main
cTypeY CurrentAstrometry WSATransit G&C WCS type, eg 'DEC--ZPN' {image extension keyword: CTYPE2} varchar 8     pos.eq.dec;meta.main
cTypeY CurrentAstrometry WSAUHS G&C WCS type, eg 'DEC--ZPN' {image extension keyword: CTYPE2} varchar 8     pos.eq.dec;meta.main
cTypeY CurrentAstrometry, PreviousAstrometry WSA G&C WCS type, eg 'DEC--ZPN' {image extension keyword: CTYPE2} varchar 8     pos.eq.dec;meta.main
cuEventID ArchiveCurationHistory WSACalib UID of curation event giving rise to this record int 4     meta.bib
cuEventID ArchiveCurationHistory WSATransit UID of curation event giving rise to this record int 4     meta.bib
cuEventID ArchiveCurationHistory WSAUHS UID of curation event giving rise to this record int 4     meta.bib
cuEventID ArchiveCurationHistory, AstrCalVers, CurrentAstrometry, EpochFrameStatus, lasMapRemeasAver, lasMapRemeasurement, lasYselJRemeasMergeLog, lasYselJSourceRemeasurement, MapApertureIDslasYselJ, MapProvenance, Multiframe, MultiframeDetector, PhotCalVers, PreviousAstrometry, ProgrammeCurationHistory, ProgrammeFrame, Provenance WSA UID of curation event giving rise to this record int 4     meta.bib
cuEventID MapFrameStatus WSA UID of curation event giving rise to this record int 4   -99999999 REFER_CODE
cuEventID MapFrameStatus WSAUHS UID of curation event giving rise to this record int 4   -99999999 REFER_CODE
cuEventID dxsAstrometricInfo, dxsDetection, dxsJKmergeLog, dxsJKsource, dxsMergeLog, dxsOrphan, dxsSource, dxsSourceXDetectionBestMatch, dxsVarFrameSetInfo, dxsVariability, gcsAstrometricInfo, gcsDetection, gcsMergeLog, gcsOrphan, gcsPointSource, gcsSource, gcsSourceXDetectionBestMatch, gcsVarFrameSetInfo, gcsVariability, gcsZYJHKmergeLog, gcsZYJHKsource, gpsAstrometricInfo, gpsDetection, gpsJHKmergeLog, gpsJHKsource, gpsMergeLog, gpsOrphan, gpsPointSource, gpsSource, gpsSourceXDetectionBestMatch, gpsVarFrameSetInfo, gpsVariability, lasAstrometricInfo, lasDetection, lasExtendedSource, lasMergeLog, lasOrphan, lasPointSource, lasSource, lasSourceXDetectionBestMatch, lasVarFrameSetInfo, lasVariability, lasYJHKmergeLog, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, UKIDSSDetection, udsAstrometricInfo, udsDetection, udsMergeLog, udsOrphan, udsSource, udsSourceXDetectionBestMatch, udsVarFrameSetInfo, udsVariability WSA UID of curation event giving rise to this record int 4     REFER_CODE
cuEventID calDetection, calMergeLog, calSource, calSourceXSynopticSourceBestMatch, calSynopticMergeLog, calSynopticSource, calVarFrameSetInfo, calVariability WSACalib UID of curation event giving rise to this record int 4     REFER_CODE
cuEventID ptsDetection WSATransit UID of curation event giving rise to this record int 4     REFER_CODE
cuEventID uhsAstrometricInfo, uhsDetection, uhsDetectionAll, uhsMergeLog, uhsOrphan, uhsSource, uhsSourceAll, uhsSourceXDetectionBestMatch, uhsVarFrameSetInfo, uhsVariability WSAUHS UID of curation event giving rise to this record int 4     REFER_CODE
cuID ArchiveCurationHistory WSACalib the unique curation task ID smallint 2     meta.bib
cuID ArchiveCurationHistory WSATransit the unique curation task ID smallint 2     meta.bib
cuID ArchiveCurationHistory WSAUHS the unique curation task ID smallint 2     meta.bib
cuID ArchiveCurationHistory, CurationTask WSA the unique curation task ID smallint 2     meta.bib
curator ArchiveCurationHistory WSA The archive curation scientist responsible for this event varchar 16     ??
curator ArchiveCurationHistory WSACalib The archive curation scientist responsible for this event varchar 16     ??
curator ArchiveCurationHistory WSATransit The archive curation scientist responsible for this event varchar 16     ??
curator ArchiveCurationHistory WSAUHS The archive curation scientist responsible for this event varchar 16     ??
cutOff Filter WSA The 50% cut-off wavelength of the filter real 4 microns   ??
cutOff Filter WSACalib The 50% cut-off wavelength of the filter real 4 microns   ??
cutOff Filter WSATransit The 50% cut-off wavelength of the filter real 4 microns   ??
cutOff Filter WSAUHS The 50% cut-off wavelength of the filter real 4 microns   ??
cutOn Filter WSA The 50% cut-on wavelength of the filter real 4 microns   ??
cutOn Filter WSACalib The 50% cut-on wavelength of the filter real 4 microns   ??
cutOn Filter WSATransit The 50% cut-on wavelength of the filter real 4 microns   ??
cutOn Filter WSAUHS The 50% cut-on wavelength of the filter real 4 microns   ??
CX twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 XMM unit vector of spherical co-ordinates float 8     POS_EQ_X
cx CurrentAstrometry WSACalib unit vector of spherical co-ordinates of device centre float 8     pos.distance;pos.cartesian.x
cx CurrentAstrometry WSATransit unit vector of spherical co-ordinates of device centre float 8     pos.distance;pos.cartesian.x
cx CurrentAstrometry WSAUHS unit vector of spherical co-ordinates of device centre float 8     pos.distance;pos.cartesian.x
cx CurrentAstrometry, PreviousAstrometry WSA unit vector of spherical co-ordinates of device centre float 8     pos.distance;pos.cartesian.x
cx ObjectThin PS1DR2 Cartesian x on a unit sphere. float 8     pos.cartesian.x;pos.eq
cx dxsDetection, dxsJKmergeLog, dxsJKsource, dxsMergeLog, dxsSource, gcsDetection, gcsMergeLog, gcsPointSource, gcsSource, gcsZYJHKmergeLog, gcsZYJHKsource, gpsDetection, gpsJHKmergeLog, gpsJHKsource, gpsMergeLog, gpsPointSource, gpsSource, lasDetection, lasExtendedSource, lasMergeLog, lasPointSource, lasSource, lasYJHKmergeLog, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, UKIDSSDetection, udsDetection, udsMergeLog, udsSource WSA unit vector of spherical co-ordinates float 8     POS_EQ_X
cx calDetection, calMergeLog, calSource, calSynopticMergeLog, calSynopticSource WSACalib unit vector of spherical co-ordinates float 8     POS_EQ_X
cx catwise_2020, catwise_prelim WISE unit vector of spherical co-ordinates float 8     POS_EQ_X
cx first08Jul16Source, firstSource, firstSource12Feb16 FIRST unit vector of spherical co-ordinates float 8     POS_EQ_X
cx gaia_source GAIADR2 unit vector of spherical co-ordinates float 8     pos.distance;pos.cartesian.x
cx gaia_source GAIAEDR3 unit vector of spherical co-ordinates float 8     pos.distance;pos.cartesian.x
cx gaia_source, hipparcos_new_reduction, igsl_source, tgas_source, tycho2 GAIADR1 unit vector of spherical co-ordinates float 8     pos.distance;pos.cartesian.x
cx glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca, glimpse_hrc_inter, glimpse_mca_inter GLIMPSE unit vector of spherical co-ordinates float 8     POS_EQ_X
cx iras_psc IRAS unit vector of spherical co-ordinates float 8     POS_EQ_X
cx lasMapRemeasAver, lasMapRemeasurement, lasYselJRemeasMergeLog WSA unit vector of spherical co-ordinates float 8     pos.cartesian.x
cx lasYselJSourceRemeasurement WSA unit vector of spherical co-ordinates of aperture float 8     pos.cartesian.x;pos.eq
cx mgcDetection MGC unit vector of spherical co-ordinates float 8     POS_EQ_X
cx nvssSource NVSS unit vector of spherical co-ordinates float 8     POS_EQ_X
cx ptsDetection WSATransit unit vector of spherical co-ordinates float 8     POS_EQ_X
cx rosat_bsc, rosat_fsc ROSAT unit vector of spherical co-ordinates float 8     POS_EQ_X
cx twomass_psc, twomass_scn, twomass_sixx2_psc, twomass_sixx2_scn, twomass_sixx2_xsc, twomass_xsc 2MASS unit vector of spherical co-ordinates float 8     POS_EQ_X
cx twompzPhotoz TWOMPZ unit vector of spherical co-ordinates float 8     pos.cartesian.x;pos.eq
cx uhsDetection, uhsDetectionAll, uhsMergeLog, uhsSource, uhsSourceAll WSAUHS unit vector of spherical co-ordinates float 8     POS_EQ_X
cx wiseScosPhotoz, wiseScosPhotozRejects, wiseScosSvm WISExSCOSPZ unit vector of spherical co-ordinates float 8     pos.cartesian.x;pos.eq
cx wise_allskysc, wise_prelimsc WISE unit vector of spherical co-ordinates (similar to x in IPAC IRSA schema, but recomputed) float 8     POS_EQ_X
CY twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 XMM unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy CurrentAstrometry WSACalib unit vector of spherical co-ordinates of device centre float 8     pos.distance;pos.cartesian.y
cy CurrentAstrometry WSATransit unit vector of spherical co-ordinates of device centre float 8     pos.distance;pos.cartesian.y
cy CurrentAstrometry WSAUHS unit vector of spherical co-ordinates of device centre float 8     pos.distance;pos.cartesian.y
cy CurrentAstrometry, PreviousAstrometry WSA unit vector of spherical co-ordinates of device centre float 8     pos.distance;pos.cartesian.y
cy ObjectThin PS1DR2 Cartesian y on a unit sphere. float 8     pos.cartesian.y;pos.eq
cy dxsDetection, dxsJKmergeLog, dxsJKsource, dxsMergeLog, dxsSource, gcsDetection, gcsMergeLog, gcsPointSource, gcsSource, gcsZYJHKmergeLog, gcsZYJHKsource, gpsDetection, gpsJHKmergeLog, gpsJHKsource, gpsMergeLog, gpsPointSource, gpsSource, lasDetection, lasExtendedSource, lasMergeLog, lasPointSource, lasSource, lasYJHKmergeLog, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, UKIDSSDetection, udsDetection, udsMergeLog, udsSource WSA unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy calDetection, calMergeLog, calSource, calSynopticMergeLog, calSynopticSource WSACalib unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy catwise_2020, catwise_prelim WISE unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy first08Jul16Source, firstSource, firstSource12Feb16 FIRST unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy gaia_source GAIADR2 unit vector of spherical co-ordinates float 8     pos.distance;pos.cartesian.y
cy gaia_source GAIAEDR3 unit vector of spherical co-ordinates float 8     pos.distance;pos.cartesian.y
cy gaia_source, hipparcos_new_reduction, igsl_source, tgas_source, tycho2 GAIADR1 unit vector of spherical co-ordinates float 8     pos.distance;pos.cartesian.y
cy glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca, glimpse_hrc_inter, glimpse_mca_inter GLIMPSE unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy iras_psc IRAS unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy lasMapRemeasAver, lasMapRemeasurement, lasYselJRemeasMergeLog WSA unit vector of spherical co-ordinates float 8     pos.cartesian.y
cy lasYselJSourceRemeasurement WSA unit vector of spherical co-ordinates of aperture float 8     pos.cartesian.y;pos.eq
cy mgcDetection MGC unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy nvssSource NVSS unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy ptsDetection WSATransit unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy rosat_bsc, rosat_fsc ROSAT unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy twomass_psc, twomass_scn, twomass_sixx2_psc, twomass_sixx2_scn, twomass_sixx2_xsc, twomass_xsc 2MASS unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy twompzPhotoz TWOMPZ unit vector of spherical co-ordinates float 8     pos.cartesian.y;pos.eq
cy uhsDetection, uhsDetectionAll, uhsMergeLog, uhsSource, uhsSourceAll WSAUHS unit vector of spherical co-ordinates float 8     POS_EQ_Y
cy wiseScosPhotoz, wiseScosPhotozRejects, wiseScosSvm WISExSCOSPZ unit vector of spherical co-ordinates float 8     pos.cartesian.y;pos.eq
cy wise_allskysc, wise_prelimsc WISE unit vector of spherical co-ordinates (similar to y in IPAC IRSA schema, but recomputed) float 8     POS_EQ_Y
CZ twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 XMM unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz CurrentAstrometry WSACalib unit vector of spherical co-ordinates of device centre float 8     pos.distance;pos.cartesian.z
cz CurrentAstrometry WSATransit unit vector of spherical co-ordinates of device centre float 8     pos.distance;pos.cartesian.z
cz CurrentAstrometry WSAUHS unit vector of spherical co-ordinates of device centre float 8     pos.distance;pos.cartesian.z
cz CurrentAstrometry, PreviousAstrometry WSA unit vector of spherical co-ordinates of device centre float 8     pos.distance;pos.cartesian.z
cz ObjectThin PS1DR2 Cartesian z on a unit sphere. float 8     pos.cartesian.y;pos.eq
cz dxsDetection, dxsJKmergeLog, dxsJKsource, dxsMergeLog, dxsSource, gcsDetection, gcsMergeLog, gcsPointSource, gcsSource, gcsZYJHKmergeLog, gcsZYJHKsource, gpsDetection, gpsJHKmergeLog, gpsJHKsource, gpsMergeLog, gpsPointSource, gpsSource, lasDetection, lasExtendedSource, lasMergeLog, lasPointSource, lasSource, lasYJHKmergeLog, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, UKIDSSDetection, udsDetection, udsMergeLog, udsSource WSA unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz calDetection, calMergeLog, calSource, calSynopticMergeLog, calSynopticSource WSACalib unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz catwise_2020, catwise_prelim WISE unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz first08Jul16Source, firstSource, firstSource12Feb16 FIRST unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz gaia_source GAIADR2 unit vector of spherical co-ordinates float 8     pos.distance;pos.cartesian.z
cz gaia_source GAIAEDR3 unit vector of spherical co-ordinates float 8     pos.distance;pos.cartesian.z
cz gaia_source, hipparcos_new_reduction, igsl_source, tgas_source, tycho2 GAIADR1 unit vector of spherical co-ordinates float 8     pos.distance;pos.cartesian.z
cz glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca, glimpse_hrc_inter, glimpse_mca_inter GLIMPSE unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz iras_psc IRAS unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz lasMapRemeasAver, lasMapRemeasurement, lasYselJRemeasMergeLog WSA unit vector of spherical co-ordinates float 8     pos.cartesian.z
cz lasYselJSourceRemeasurement WSA unit vector of spherical co-ordinates of aperture float 8     pos.cartesian.z;pos.eq
cz mgcDetection MGC unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz nvssSource NVSS unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz ptsDetection WSATransit unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz rosat_bsc, rosat_fsc ROSAT unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz twomass_psc, twomass_scn, twomass_sixx2_psc, twomass_sixx2_scn, twomass_sixx2_xsc, twomass_xsc 2MASS unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz twompzPhotoz TWOMPZ unit vector of spherical co-ordinates float 8     pos.cartesian.z;pos.eq
cz uhsDetection, uhsDetectionAll, uhsMergeLog, uhsSource, uhsSourceAll WSAUHS unit vector of spherical co-ordinates float 8     POS_EQ_Z
cz wiseScosPhotoz, wiseScosPhotozRejects, wiseScosSvm WISExSCOSPZ unit vector of spherical co-ordinates float 8     pos.cartesian.z;pos.eq
cz wise_allskysc, wise_prelimsc WISE unit vector of spherical co-ordinates (similar to z in IPAC IRSA schema, but recomputed) float 8     POS_EQ_Z



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17/01/2022