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Glossary of WSA attributes

This Glossary alphabetically lists all attributes used in the UKIDSSDR10 database(s) held in the WSA. If you would like to have more information about the schema tables please use the UKIDSSDR10 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

B

NameSchema TableDatabaseDescriptionTypeLengthUnitDefault ValueUnified Content Descriptor
b CurrentAstrometry WSACalib Galactic latitude of device centre float 8 Degrees   pos.galactic.lat
b CurrentAstrometry WSATransit Galactic latitude of device centre float 8 Degrees   pos.galactic.lat
b CurrentAstrometry WSAUHS Galactic latitude of device centre float 8 Degrees   pos.galactic.lat
b CurrentAstrometry, PreviousAstrometry WSA Galactic latitude of device centre float 8 Degrees   pos.galactic.lat
b dxsDetection, dxsJKsource, dxsSource, gcsDetection, gcsListRemeasurement, gcsPointSource, gcsSource, gcsSourceRemeasurement, gcsZYJHKsource, gpsDetection, gpsJHKsource, gpsListRemeasurement, gpsPointSource, gpsSource, gpsSourceRemeasurement, lasDetection, lasExtendedSource, lasListRemeasurement, lasPointSource, lasSource, lasSourceRemeasurement, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, UKIDSSDetection, udsDetection, udsSource WSA Galactic latitude float 8 Degrees   POS_GAL_LAT
b calDetection, calSource, calSynopticSource WSACalib Galactic latitude float 8 Degrees   POS_GAL_LAT
b gaia_source, tgas_source GAIADR1 Galactic latitude float 8 degrees   pos.galactic.lat
b glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca, glimpse_hrc_inter, glimpse_mca_inter GLIMPSE Galactic latitude float 8 degrees   POS_GAL_LAT
b ptsDetection WSATransit Galactic latitude float 8 Degrees   POS_GAL_LAT
b uhsDetection, uhsDetectionAll, uhsSource, uhsSourceAll WSAUHS Galactic latitude float 8 Degrees   POS_GAL_LAT
B1 mgcGalaxyStruct MGC Background correction applied to A1 real 4   99.99  
B2 mgcGalaxyStruct MGC Background correction applied to A2 real 4   99.99  
B3 mgcGalaxyStruct MGC Background correction applied to A3 real 4   99.99  
B4 mgcGalaxyStruct MGC Background correction applied to A4 real 4   99.99  
b_err glimpse1_hrc, glimpse1_mca, glimpse2_hrc, glimpse2_mca, glimpse_hrc_inter, glimpse_mca_inter GLIMPSE Error in Galactic latitude float 8 arcsec   ERROR
B_IMAGE mgcDetection MGC Flux rms along minor axis real 4 pixel    
b_m_opt twomass_psc 2MASS Blue magnitude of associated optical source. real 4 mag   SPECT_FLUX_VALUE
B_MGC mgcDetection MGC Best of MAG_AUTO and MAG_ISOCOR real 4 mag    
B_MGC_DC mgcDetection MGC B_MGC corrected for extinction real 4 mag    
b_v hipparcos_new_reduction GAIADR1 B-V colour index float 8 mag   phot.color;em.opt.B;em.opt.V
BACK mgcGalaxyStruct MGC Background Level (digital units) real 4   99.99  
BACKGRND mgcDetection MGC Background at object position real 4 count    
BACKm mgcGalaxyStruct MGC Background Level error (-) real 4   99.99  
BACKp mgcGalaxyStruct MGC Background Level error (+) real 4   99.99  
bandMergingCriterion Programme WSA maximum timespan over which different filters are merged into sources in the synoptic source table. real 4 minutes -0.9999995e9  
bandMergingCriterion Programme WSACalib maximum timespan over which different filters are merged into sources in the synoptic source table. real 4 minutes -0.9999995e9  
bandMergingCriterion Programme WSATransit maximum timespan over which different filters are merged into sources in the synoptic source table. real 4 minutes -0.9999995e9  
bandMergingCriterion Programme WSAUHS maximum timespan over which different filters are merged into sources in the synoptic source table. real 4 minutes -0.9999995e9  
BBDWEIGHT mgcGalaxyStruct MGC Weight from MGC4 BBD real 4      
BBDWEIGHTERR mgcGalaxyStruct MGC Error in weight from MGC4 BBD real 4      
beamNS Multiframe WSA Topend: N-S beam {image primary HDU keyword: NSBEAM} real 4   -0.9999995e9  
beamNS Multiframe WSACalib Topend: N-S beam {image primary HDU keyword: NSBEAM} real 4   -0.9999995e9  
beamNS Multiframe WSATransit Topend: N-S beam {image primary HDU keyword: NSBEAM} real 4   -0.9999995e9  
beamNS Multiframe WSAUHS Topend: N-S beam {image primary HDU keyword: NSBEAM} real 4   -0.9999995e9  
beamWE Multiframe WSA Topend: W-E beam {image primary HDU keyword: WEBEAM} real 4   -0.9999995e9  
beamWE Multiframe WSACalib Topend: W-E beam {image primary HDU keyword: WEBEAM} real 4   -0.9999995e9  
beamWE Multiframe WSATransit Topend: W-E beam {image primary HDU keyword: WEBEAM} real 4   -0.9999995e9  
beamWE Multiframe WSAUHS Topend: W-E beam {image primary HDU keyword: WEBEAM} real 4   -0.9999995e9  
best_classification rrlyrae GAIADR1 Best RR Lyrae classification estimate out of "RRC" and "RRAB" varchar 4     meta.code.class;src.class
best_use_cntr allwise_sc2 WISE Cntr identification value of the source extraction that was selected as a candidate Catalog source in the duplicate resolution process for the group of associated sources that included this extraction. For the AllWISE Source Catalog, best_use_cntr = cntr. For the AllWISE Reject Table, best_use_cntr may be the cntr value of a corresponding source in the AllWISE Source Catalog. bigint 8      
BEST_Z mgcBrightSpec MGC Best redshift real 4      
BEST_ZQUAL mgcBrightSpec MGC Quality of best redshift tinyint 1      
BESTTQZ_Z mgcBrightSpec MGC 2qz redshift real 4      
bgrCpsa rosat_bsc, rosat_fsc ROSAT background countrate, vignetting corrected real 4 counts/sec/arcmin**2   INST_BACKGROUND
BII twoxmm, twoxmm_v1_2, twoxmmi_dr3_v1_0, xmm3dr4 XMM Galactic latitude of the detection in degrees corresponding to the (corrected) coordinates RA and DEC. float 8 degrees    
bitsPerPix MultiframeDetector WSA Number of bits per data pixel, eg. +32 = 4 byte integers {image extension keyword: BITPIX} smallint 2 FITS bitpix   meta.number
bitsPerPix MultiframeDetector WSACalib Number of bits per data pixel, eg. +32 = 4 byte integers {image extension keyword: BITPIX} smallint 2 FITS bitpix   meta.number
bitsPerPix MultiframeDetector WSATransit Number of bits per data pixel, eg. +32 = 4 byte integers {image extension keyword: BITPIX} smallint 2 FITS bitpix   meta.number
bitsPerPix MultiframeDetector WSAUHS Number of bits per data pixel, eg. +32 = 4 byte integers {image extension keyword: BITPIX} smallint 2 FITS bitpix   meta.number
bl_flg twomass_psc 2MASS Blend flag. varchar 3     CODE_MISC
bl_flg twomass_sixx2_psc 2MASS indicates # JHK components fit to source varchar 3      
bl_sub_flg twomass_xsc 2MASS blanked/subtracted src description flag. smallint 2     CODE_MISC
blk_fac twomass_xsc 2MASS LCSB blocking factor (1, 2, 4, 8). smallint 2     FIT_PARAM
bMag ukirtFSstars WSA B band total magnitude real 4 mag -0.9999995e9 PHOT_INT-MAG
bMag ukirtFSstars WSACalib B band total magnitude real 4 mag -0.9999995e9 PHOT_INT-MAG
bMag ukirtFSstars WSAUHS B band total magnitude real 4 mag -0.9999995e9 PHOT_INT-MAG
bp_mag_zero_point ext_phot_zero_point GAIADR1 BP magnitude zero point float 8 mag   phot.mag;arith.zp
bp_mag_zero_point_error ext_phot_zero_point GAIADR1 Uncertainty on BP magnitude zero point float 8 mag   stat.error;phot.mag;arith.zp
brAperMag1 calSynopticSource WSACalib Extended source Br aperture corrected mag (0.7 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
brAperMag1Err calSynopticSource WSACalib Error in extended source Br mag (0.7 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
brAperMag2 calSynopticSource WSACalib Extended source Br aperture corrected mag (1.4 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
brAperMag2Err calSynopticSource WSACalib Error in extended source Br mag (1.4 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
brAperMag3 calSource WSACalib Default point/extended source Br aperture corrected mag (2.0 arcsec aperture diameter)
If in doubt use this flux estimator
real 4 mag -0.9999995e9 PHOT_MAG
brAperMag3 calSynopticSource WSACalib Default point/extended source Br aperture corrected mag (2.0 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
brAperMag3Err calSource, calSynopticSource WSACalib Error in default point/extended source Br mag (2.0 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
brAperMag4 calSource, calSynopticSource WSACalib Extended source Br aperture corrected mag (2.8 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
brAperMag4Err calSource, calSynopticSource WSACalib Error in extended source Br mag (2.8 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
brAperMag5 calSynopticSource WSACalib Extended source Br aperture corrected mag (4.0 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
brAperMag5Err calSynopticSource WSACalib Error in extended source Br mag (4.0 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
brAperMag6 calSource WSACalib Extended source Br aperture corrected mag (5.7 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
brAperMag6Err calSource WSACalib Error in extended source Br mag (5.7 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
braStratAst calVarFrameSetInfo WSACalib Strateva parameter, a, in fit to astrometric rms vs magnitude in Br band, see Sesar et al. 2007. real 4   -0.9999995e9  
The best fit solution to the expected RMS position around the mean for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
braStratPht calVarFrameSetInfo WSACalib Strateva parameter, a, in fit to photometric rms vs magnitude in Br band, see Sesar et al. 2007. real 4   -0.9999995e9  
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
brbestAper calVariability WSACalib Best aperture (1-6) for photometric statistics in the Br band int 4   -9999  
Aperture magnitude (1-6) which gives the lowest RMS for the object. All apertures have the appropriate aperture correction. This can give better values in crowded regions than aperMag3 (see Irwin et al. 2007, MNRAS, 375, 1449)
brbStratAst calVarFrameSetInfo WSACalib Strateva parameter, b, in fit to astrometric rms vs magnitude in Br band, see Sesar et al. 2007. real 4   -0.9999995e9  
The best fit solution to the expected RMS position around the mean for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
brbStratPht calVarFrameSetInfo WSACalib Strateva parameter, b, in fit to photometric rms vs magnitude in Br band, see Sesar et al. 2007. real 4   -0.9999995e9  
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
brchiSqAst calVarFrameSetInfo WSACalib Goodness of fit of Strateva function to astrometric data in Br band real 4   -0.9999995e9  
The best fit solution to the expected RMS position around the mean for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
brchiSqpd calVariability WSACalib Chi square (per degree of freedom) fit to data (mean and expected rms) real 4   -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brchiSqPht calVarFrameSetInfo WSACalib Goodness of fit of Strateva function to photometric data in Br band real 4   -0.9999995e9  
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
brClass calSource, calSynopticSource WSACalib discrete image classification flag in Br smallint 2   -9999 CLASS_MISC
brClassStat calSource, calSynopticSource WSACalib N(0,1) stellarness-of-profile statistic in Br real 4   -0.9999995e9 STAT_PROP
brcStratAst calVarFrameSetInfo WSACalib Strateva parameter, c, in fit to astrometric rms vs magnitude in Br band, see Sesar et al. 2007. real 4   -0.9999995e9  
The best fit solution to the expected RMS position around the mean for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
brcStratPht calVarFrameSetInfo WSACalib Strateva parameter, c, in fit to photometric rms vs magnitude in Br band, see Sesar et al. 2007. real 4   -0.9999995e9  
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
brDeblend calSource WSACalib placeholder flag indicating parent/child relation in Br int 4   -99999999 CODE_MISC
This CASU pipeline processing source extraction flag is a placeholder only, and is always set to zero in all passbands in the merged source lists. If you need to know when a particular image detection is a component of a deblend or not, test bit 4 of attribute ppErrBits (see corresponding glossary entry) which is set by WFAU's post-processing software based on testing the areal profiles aprof2-8 (these are set by CASU to -1 for deblended components, or positive values for non-deblended detections). We encode this in an information bit of ppErrBits for convenience when querying the merged source tables.
brDeblend calSynopticSource WSACalib placeholder flag indicating parent/child relation in Br int 4   -99999999 CODE_MISC
brEll calSource, calSynopticSource WSACalib 1-b/a, where a/b=semi-major/minor axes in Br real 4   -0.9999995e9 PHYS_ELLIPTICITY
breNum calMergeLog, calSynopticMergeLog WSACalib the extension number of this Br frame tinyint 1     NUMBER
brErrBits calSource, calSynopticSource WSACalib processing warning/error bitwise flags in Br int 4   -99999999 CODE_MISC
Apparently not actually an error bit flag, but a count of the number of zero confidence pixels in the default (2 arcsec diameter) aperture.
brEta calSource, calSynopticSource WSACalib Offset of Br detection from master position (+north/-south) real 4 arcsec -0.9999995e9 POS_EQ_DEC_OFF
When associating individual passband detections into merged sources, a generous (in terms of the positional uncertainties) pairing radius of 2.0 (UKIDSS LAS and GPS; UHS; also non-survey programmes) or 1.0 (UKIDSS GPS, DXS and UDS) arcseconds is used, the higher value enabling pairing of moving sources when epoch separations may be several years. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the LAS, you might wish to insist that the offsets in the selected sample are all below 1 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
brexpML calVarFrameSetInfo WSACalib Expected magnitude limit of frameSet in this in Br band. real 4   -0.9999995e9  
The expected magnitude limit of an intermediate stack, based on the total exposure time. expML=Filter.oneSecML+1.25*log10(totalExpTime). Since different intermediate stacks can have different exposure times, the totalExpTime is the minimum, as long as the number of stacks with this minimum make up 10% of the total. This is a more conservative treatment than just taking the mean or median total exposure time.
brExpRms calVariability WSACalib Rms calculated from polynomial fit to modal RMS as a function of magnitude in Br band real 4 mag -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brGausig calSource, calSynopticSource WSACalib RMS of axes of ellipse fit in Br real 4 pixels -0.9999995e9 MORPH_PARAM
brHallMag calSource WSACalib Total point source Br mag real 4 mag -0.9999995e9 PHOT_MAG
brHallMagErr calSource WSACalib Error in total point source Br mag real 4 mag -0.9999995e9 ERROR
brIntRms calVariability WSACalib Intrinsic rms in Br-band real 4 mag -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brisDefAst calVarFrameSetInfo WSACalib Use a default model for the astrometric noise in Br band. tinyint 1   0  
brisDefPht calVarFrameSetInfo WSACalib Use a default model for the photometric noise in Br band. tinyint 1   0  
brMagMAD calVariability WSACalib Median Absolute Deviation of Br magnitude real 4 mag -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brMagRms calVariability WSACalib rms of Br magnitude real 4 mag -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brmaxCadence calVariability WSACalib maximum gap between observations real 4 days -0.9999995e9  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
brMaxMag calVariability WSACalib Maximum magnitude in Br band, of good detections real 4   -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brmeanMag calVariability WSACalib Mean Br magnitude real 4 mag -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brmedCadence calVariability WSACalib median gap between observations real 4 days -0.9999995e9  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
brmedianMag calVariability WSACalib Median Br magnitude real 4 mag -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brmfID calMergeLog, calSynopticMergeLog WSACalib the UID of the relevant Br multiframe bigint 8     ID_FRAME
brminCadence calVariability WSACalib minimum gap between observations real 4 days -0.9999995e9  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
brMinMag calVariability WSACalib Minimum magnitude in Br band, of good detections real 4   -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brmkExt calSource WSACalib Extended source colour Br-K (using aperMag3) real 4 mag -0.9999995e9 PHOT_COLOR
Default colours from pairs of adjacent passbands within a given set (e.g. Y-J, J-H and H-K for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the point-source colours and extended source colours are computed from the aperture corrected AperMag3 fixed 2 arcsec aperture diameter measures (for consistent measurement across all passbands) and generally good signal-to-noise. At some point in the future, this may be changed such that point-source colours will be computed from the PSF-fitted measures and extended source colours computed from the 2-d Sersic model profile fits.
brmkExtErr calSource WSACalib Error on extended source colour Br-K real 4 mag -0.9999995e9 ERROR
Default colours from pairs of adjacent passbands within a given set (e.g. Y-J, J-H and H-K for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the point-source colours and extended source colours are computed from the aperture corrected AperMag3 fixed 2 arcsec aperture diameter measures (for consistent measurement across all passbands) and generally good signal-to-noise. At some point in the future, this may be changed such that point-source colours will be computed from the PSF-fitted measures and extended source colours computed from the 2-d Sersic model profile fits.
brmkPnt calSource, calSynopticSource WSACalib Point source colour Br-K (using aperMag3) real 4 mag -0.9999995e9 PHOT_COLOR
Default colours from pairs of adjacent passbands within a given set (e.g. Y-J, J-H and H-K for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the point-source colours and extended source colours are computed from the aperture corrected AperMag3 fixed 2 arcsec aperture diameter measures (for consistent measurement across all passbands) and generally good signal-to-noise. At some point in the future, this may be changed such that point-source colours will be computed from the PSF-fitted measures and extended source colours computed from the 2-d Sersic model profile fits.
brmkPntErr calSource, calSynopticSource WSACalib Error on point source colour Br-K real 4 mag -0.9999995e9 ERROR
Default colours from pairs of adjacent passbands within a given set (e.g. Y-J, J-H and H-K for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the point-source colours and extended source colours are computed from the aperture corrected AperMag3 fixed 2 arcsec aperture diameter measures (for consistent measurement across all passbands) and generally good signal-to-noise. At some point in the future, this may be changed such that point-source colours will be computed from the PSF-fitted measures and extended source colours computed from the 2-d Sersic model profile fits.
brndof calVariability WSACalib Number of degrees of freedom for chisquare smallint 2   -9999  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brnDofAst calVarFrameSetInfo WSACalib Number of degrees of freedom of astrometric fit in Br band. smallint 2   -9999  
The best fit solution to the expected RMS position around the mean for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
brnDofPht calVarFrameSetInfo WSACalib Number of degrees of freedom of photometric fit in Br band. smallint 2   -9999  
The best fit solution to the expected RMS brightness (in magnitudes) for all objects in the frameset. Objects were binned in ranges of magnitude and the median RMS (after clipping out variable objects using the median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
brnFlaggedObs calVariability WSACalib Number of detections in Br band flagged as potentially spurious by calDetection.ppErrBits int 4   0  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
brnGoodObs calVariability WSACalib Number of good detections in Br band int 4   0  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
brNgt3sig calVariability WSACalib Number of good detections in Br-band that are more than 3 sigma deviations smallint 2   -9999  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brnMissingObs calVariability WSACalib Number of Br band frames that this object should have been detected on and was not int 4   0  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
brPA calSource, calSynopticSource WSACalib ellipse fit celestial orientation in Br real 4 Degrees -0.9999995e9 POS_POS-ANG
brPetroMag calSource WSACalib Extended source Br mag (Petrosian) real 4 mag -0.9999995e9 PHOT_MAG
brPetroMagErr calSource WSACalib Error in extended source Br mag (Petrosian) real 4 mag -0.9999995e9 ERROR
brppErrBits calSource, calSynopticSource WSACalib additional WFAU post-processing error bits in Br int 4   0 CODE_MISC
Post-processing error quality bit flags assigned (NB: from UKIDSS DR2 release onwards) in the WSA curation procedure for survey data. From least to most significant byte in the 4-byte integer attribute byte 0 (bits 0 to 7) corresponds to information on generally innocuous conditions that are nonetheless potentially significant as regards the integrity of that detection; byte 1 (bits 8 to 15) corresponds to warnings; byte 2 (bits 16 to 23) corresponds to important warnings; and finally byte 3 (bits 24 to 31) corresponds to severe warnings:
ByteBitDetection quality issue Threshold or bit mask Applies to
DecimalHexadecimal
0 4 Deblended 16 0x00000010 All VDFS catalogues
0 6 Bad pixel(s) in default aperture 64 0x00000040 All VDFS catalogues
1 15 Source in poor flat field region 32768 0x00008000 All but mosaics
2 16 Close to saturated 65536 0x00010000 All VDFS catalogues (though deeps excluded prior to DR8)
2 17 Photometric calibration probably subject to systematic error 131072 0x00020000 GPS only
2 19 Possible crosstalk artefact/contamination 524288 0x00080000 All but GPS
2 22 Lies within a dither offset of the stacked frame boundary 4194304 0x00400000 All but mosaics

In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all K band sources in the LAS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information.
brprobVar calVariability WSACalib Probability of variable from chi-square (and other data) real 4   -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brPsfMag calSource WSACalib Point source profile-fitted Br mag real 4 mag -0.9999995e9 PHOT_MAG
brPsfMagErr calSource WSACalib Error in point source profile-fitted Br mag real 4 mag -0.9999995e9 ERROR
brSeqNum calSource, calSynopticSource WSACalib the running number of the Br detection int 4   -99999999 ID_NUMBER
brSerMag2D calSource WSACalib Extended source Br mag (profile-fitted) real 4 mag -0.9999995e9 PHOT_MAG
brSerMag2DErr calSource WSACalib Error in extended source Br mag (profile-fitted) real 4 mag -0.9999995e9 ERROR
brskewness calVariability WSACalib Skewness in Br band (see Sesar et al. 2007) real 4   -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brtotalPeriod calVariability WSACalib total period of observations (last obs-first obs) real 4 days -0.9999995e9  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
brVarClass calVariability WSACalib Classification of variability in this band smallint 2   -9999  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
brXi calSource, calSynopticSource WSACalib Offset of Br detection from master position (+east/-west) real 4 arcsec -0.9999995e9 POS_EQ_RA_OFF
When associating individual passband detections into merged sources, a generous (in terms of the positional uncertainties) pairing radius of 2.0 (UKIDSS LAS and GPS; UHS; also non-survey programmes) or 1.0 (UKIDSS GPS, DXS and UDS) arcseconds is used, the higher value enabling pairing of moving sources when epoch separations may be several years. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the LAS, you might wish to insist that the offsets in the selected sample are all below 1 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
bt_mag tycho2 GAIADR1 Tycho2 BT magnitude real 4 mag   phot.mag;em.opt.B
BULGE_E mgcGalaxyStruct MGC Bulge Ellipticity real 4   99.99  
BULGE_Em mgcGalaxyStruct MGC Bulge Ellipticity error (-) real 4   99.99  
BULGE_Ep mgcGalaxyStruct MGC Bulge Ellipticity error (+) real 4   99.99  
BULGE_FRAC mgcGalaxyStruct MGC Bulge Fraction (0=pure disk) real 4   99.99  
BULGE_FRACm mgcGalaxyStruct MGC Bulge Fraction error (-) real 4   99.99  
BULGE_FRACp mgcGalaxyStruct MGC Bulge Fraction error (+) real 4   99.99  
BULGE_PA mgcGalaxyStruct MGC Bulge Position Angle real 4   99.99  
BULGE_PAm mgcGalaxyStruct MGC Bulge Position Angle error (-) real 4   99.99  
BULGE_PAp mgcGalaxyStruct MGC Bulge Position Angle error (+) real 4   99.99  
BULGE_RE mgcGalaxyStruct MGC Bulge Effective Radius real 4   99.99  
BULGE_REm mgcGalaxyStruct MGC Bulge Effective Radius error (-) real 4   99.99  
BULGE_REp mgcGalaxyStruct MGC Bulge Effective Radius error (+) real 4   99.99  



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03/09/2018