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Glossary of WSA NonSurvey attributes (UKIDSSDR10) |
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This Glossary alphabetically lists all attributes used in the WSA NonSurvey database(s) held in the WSA. If you would like to have more information about the schema tables please use the 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 |
Z | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Name | Schema Table | Database | Description | Type | Length | Unit | Default Value | Unified Content Descriptor | |||||||||||||||||||||||||||||||||||||||||||||||||||
| z11 | [nspid]Multiframe | WSA NonSurvey | Spherical: Z11 {image primary HDU keyword: Z11} | real | 4 | -0.9999995e9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| z7 | [nspid]Multiframe | WSA NonSurvey | Coma: Z7 {image primary HDU keyword: Z7} | real | 4 | -0.9999995e9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| z8 | [nspid]Multiframe | WSA NonSurvey | Coma: Z8 {image primary HDU keyword: Z8} | real | 4 | -0.9999995e9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag1 | [nspid]SynopticSource | WSA NonSurvey | Extended source Z aperture corrected mag (0.7 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag1Err | [nspid]SynopticSource | WSA NonSurvey | Error in extended source Z mag (0.7 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag2 | [nspid]SynopticSource | WSA NonSurvey | Extended source Z aperture corrected mag (1.4 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag2Err | [nspid]SynopticSource | WSA NonSurvey | Error in extended source Z mag (1.4 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag3 | [nspid]GcsPointSource, [nspid]PointSource, [nspid]SynopticSource, [nspid]ZYJHKsource | WSA NonSurvey | Default point/extended source Z aperture corrected mag (2.0 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag3 | [nspid]Source | WSA NonSurvey | Default point/extended source Z aperture corrected mag (2.0 arcsec aperture diameter) If in doubt use this flux estimator |
real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag3 | [nspid]Source | WSA NonSurvey | Default point source Z aperture corrected mag (2.0 arcsec aperture diameter) If in doubt use this flux estimator |
real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag3Err | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]ZYJHKsource | WSA NonSurvey | Error in default point/extended source Z mag (2.0 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag3Err | [nspid]Source | WSA NonSurvey | Error in default point source Z mag (2.0 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag4 | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]ZYJHKsource | WSA NonSurvey | Extended source Z aperture corrected mag (2.8 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag4 | [nspid]Source | WSA NonSurvey | Point source Z aperture corrected mag (2.8 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag4Err | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]ZYJHKsource | WSA NonSurvey | Error in extended source Z mag (2.8 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag4Err | [nspid]Source | WSA NonSurvey | Error in point source Z mag (2.8 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag5 | [nspid]SynopticSource | WSA NonSurvey | Extended source Z aperture corrected mag (4.0 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag5Err | [nspid]SynopticSource | WSA NonSurvey | Error in extended source Z mag (4.0 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag6 | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource | WSA NonSurvey | Extended source Z aperture corrected mag (5.7 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag6 | [nspid]Source | WSA NonSurvey | Point source Z aperture corrected mag (5.7 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag6Err | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource | WSA NonSurvey | Error in extended source Z mag (5.7 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zAperMag6Err | [nspid]Source | WSA NonSurvey | Error in point source Z mag (5.7 arcsec aperture diameter) | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zaStratAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Strateva parameter, a, in fit to astrometric rms vs magnitude in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zaStratAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Parameter, c0 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to astrometric rms vs magnitude in Z band. | real | 4 | -0.9999995e9 | stat.fit.param;em.opt.I | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zaStratPht | [nspid]VarFrameSetInfo | WSA NonSurvey | Strateva parameter, a, in fit to photometric rms vs magnitude in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zaStratPht | [nspid]VarFrameSetInfo | WSA NonSurvey | Parameter, c0 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to photometric rms vs magnitude in Z band. | real | 4 | -0.9999995e9 | stat.fit.param;em.opt.I | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zbestAper | [nspid]Variability | WSA NonSurvey | Best aperture (1-6) for photometric statistics in the Z 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) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zbStratAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Strateva parameter, b, in fit to astrometric rms vs magnitude in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zbStratAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Parameter, c1 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to astrometric rms vs magnitude in Z band. | real | 4 | -0.9999995e9 | stat.fit.param;em.opt.I | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zbStratPht | [nspid]VarFrameSetInfo | WSA NonSurvey | Strateva parameter, b, in fit to photometric rms vs magnitude in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zbStratPht | [nspid]VarFrameSetInfo | WSA NonSurvey | Parameter, c1 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to photometric rms vs magnitude in Z band. | real | 4 | -0.9999995e9 | stat.fit.param;em.opt.I | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zchiSqAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Goodness of fit of Strateva function to astrometric data in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zchiSqAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Goodness of fit of Strateva function to astrometric data in Z band | real | 4 | -0.9999995e9 | stat.fit.goodness;em.opt.I | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zchiSqpd | [nspid]Variability | WSA NonSurvey | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zchiSqPht | [nspid]VarFrameSetInfo | WSA NonSurvey | Goodness of fit of Strateva function to photometric data in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zClass | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]SynopticSource, [nspid]ZYJHKsource | WSA NonSurvey | discrete image classification flag in Z | smallint | 2 | -9999 | CLASS_MISC | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| zClassStat | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]SynopticSource, [nspid]ZYJHKsource | WSA NonSurvey | N(0,1) stellarness-of-profile statistic in Z | real | 4 | -0.9999995e9 | STAT_PROP | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| zcStratAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Strateva parameter, c, in fit to astrometric rms vs magnitude in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zcStratAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Parameter, c2 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to astrometric rms vs magnitude in Z band. | real | 4 | -0.9999995e9 | stat.fit.param;em.opt.I | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zcStratPht | [nspid]VarFrameSetInfo | WSA NonSurvey | Strateva parameter, c, in fit to photometric rms vs magnitude in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zcStratPht | [nspid]VarFrameSetInfo | WSA NonSurvey | Parameter, c2 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to photometric rms vs magnitude in Z band. | real | 4 | -0.9999995e9 | stat.fit.param;em.opt.I | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zDeblend | [nspid]GcsPointSource, [nspid]PointSource, [nspid]SourceRemeasurement, [nspid]SynopticSource, [nspid]ZYJHKsource | WSA NonSurvey | placeholder flag indicating parent/child relation in Z | int | 4 | -99999999 | CODE_MISC | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| zDeblend | [nspid]Source | WSA NonSurvey | placeholder flag indicating parent/child relation in Z | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zdStratAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Parameter, c3 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to astrometric rms vs magnitude in Z band. | real | 4 | -0.9999995e9 | stat.fit.param;em.opt.I | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zdStratPht | [nspid]VarFrameSetInfo | WSA NonSurvey | Parameter, c0 from Ferreira-Lopes & Cross 2017, Eq. 18, in fit to photometric rms vs magnitude in Z band. | real | 4 | -0.9999995e9 | stat.fit.param;em.opt.I | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zEll | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]SynopticSource, [nspid]ZYJHKsource | WSA NonSurvey | 1-b/a, where a/b=semi-major/minor axes in Z | real | 4 | -0.9999995e9 | PHYS_ELLIPTICITY | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| zeNum | [nspid]MergeLog, [nspid]SynopticMergeLog | WSA NonSurvey | the extension number of this Z frame | tinyint | 1 | NUMBER | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| zeNum | [nspid]ZYJHKmergeLog | WSA NonSurvey | the extension number of this frame | tinyint | 1 | NUMBER | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| zeropoint | [nspid]RequiredMosaicTopLevel | WSA NonSurvey | Zeropoint of each product | real | 4 | -0.9999995e9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| zErrBits | [nspid]GcsPointSource, [nspid]PointSource, [nspid]SourceRemeasurement, [nspid]ZYJHKsource | WSA NonSurvey | processing warning/error bitwise flags in Z | int | 4 | -99999999 | CODE_MISC | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| zErrBits | [nspid]Source, [nspid]SynopticSource | WSA NonSurvey | processing warning/error bitwise flags in Z | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zEta | [nspid]GcsPointSource, [nspid]PointSource, [nspid]ZYJHKsource | WSA NonSurvey | Offset of Z detection from master position (+north/-south) | real | 4 | arcsec | -0.9999995e9 | POS_EQ_DEC_OFF | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zEta | [nspid]Source, [nspid]SynopticSource | WSA NonSurvey | Offset of Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zexpML | [nspid]VarFrameSetInfo | WSA NonSurvey | Expected magnitude limit of frameSet in this in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zExpRms | [nspid]Variability | WSA NonSurvey | Rms calculated from polynomial fit to modal RMS as a function of magnitude in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zGausig | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]SynopticSource, [nspid]ZYJHKsource | WSA NonSurvey | RMS of axes of ellipse fit in Z | real | 4 | pixels | -0.9999995e9 | MORPH_PARAM | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zHallMag | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource | WSA NonSurvey | Total point source Z mag | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zHallMagErr | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource | WSA NonSurvey | Error in total point source Z mag | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zIntRms | [nspid]Variability | WSA NonSurvey | Intrinsic rms in Z-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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zisDefAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Use a default model for the astrometric noise in Z band. | tinyint | 1 | 0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| zisDefAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Use a default model for the astrometric noise in Z band. | tinyint | 1 | 0 | meta.code;em.opt.I | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| zisDefPht | [nspid]VarFrameSetInfo | WSA NonSurvey | Use a default model for the photometric noise in Z band. | tinyint | 1 | 0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| zMag | [nspid]SourceRemeasurement | WSA NonSurvey | Z mag (as appropriate for this merged source) | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zMagErr | [nspid]SourceRemeasurement | WSA NonSurvey | Error in Z mag | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zMagMAD | [nspid]Variability | WSA NonSurvey | Median Absolute Deviation of Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zMagRms | [nspid]Variability | WSA NonSurvey | rms of Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmaxCadence | [nspid]Variability | WSA NonSurvey | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zMaxMag | [nspid]Variability | WSA NonSurvey | Maximum magnitude in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmeanMag | [nspid]Variability | WSA NonSurvey | Mean Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmedCadence | [nspid]Variability | WSA NonSurvey | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmedianMag | [nspid]Variability | WSA NonSurvey | Median Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmfID | [nspid]MergeLog, [nspid]SynopticMergeLog | WSA NonSurvey | the UID of the relevant Z multiframe | bigint | 8 | ID_FRAME | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmfID | [nspid]ZYJHKmergeLog | WSA NonSurvey | the UID of the relevant multiframe | bigint | 8 | ID_FRAME | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| zminCadence | [nspid]Variability | WSA NonSurvey | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zMinMag | [nspid]Variability | WSA NonSurvey | Minimum magnitude in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmjExt | [nspid]Source | WSA NonSurvey | Extended source colour Z-J (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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmjExtErr | [nspid]Source | WSA NonSurvey | Error on extended source colour Z-J | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmjPnt | [nspid]Source | WSA NonSurvey | Point source colour Z-J (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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmjPntErr | [nspid]Source | WSA NonSurvey | Error on point source colour Z-J | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmy | [nspid]SourceRemeasurement | WSA NonSurvey | Default colour Z-Y (using appropriate mags) | real | 4 | mag | PHOT_COLOR | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmyErr | [nspid]SourceRemeasurement | WSA NonSurvey | Error on colour Z-Y | real | 4 | mag | ERROR | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmyExt | [nspid]GcsPointSource, [nspid]PointSource, [nspid]ZYJHKsource | WSA NonSurvey | Extended source colour Z-Y (using aperMag3) | real | 4 | mag | -0.9999995e9 | PHOT_COLOR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zmyExt | [nspid]Source | WSA NonSurvey | Extended source colour Z-Y (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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmyExtErr | [nspid]GcsPointSource, [nspid]PointSource, [nspid]ZYJHKsource | WSA NonSurvey | Error on extended source colour Z-Y | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zmyExtErr | [nspid]Source | WSA NonSurvey | Error on extended source colour Z-Y | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmyPnt | [nspid]GcsPointSource, [nspid]PointSource, [nspid]ZYJHKsource | WSA NonSurvey | Point source colour Z-Y (using aperMag3) | real | 4 | mag | -0.9999995e9 | PHOT_COLOR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zmyPnt | [nspid]Source, [nspid]SynopticSource | WSA NonSurvey | Point source colour Z-Y (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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zmyPntErr | [nspid]GcsPointSource, [nspid]PointSource, [nspid]ZYJHKsource | WSA NonSurvey | Error on point source colour Z-Y | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zmyPntErr | [nspid]Source, [nspid]SynopticSource | WSA NonSurvey | Error on point source colour Z-Y | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zndof | [nspid]Variability | WSA NonSurvey | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znDofAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Number of degrees of freedom of astrometric fit in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znDofAst | [nspid]VarFrameSetInfo | WSA NonSurvey | Number of degrees of freedom of astrometric fit in Z band. | smallint | 2 | -9999 | stat.fit.dof;stat.param;em.opt.I | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znDofPht | [nspid]VarFrameSetInfo | WSA NonSurvey | Number of degrees of freedom of photometric fit in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u08a15Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u09bh50Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u09bk2Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u10ah51Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u10bk1Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u10bk2Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u11ak3Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u11bk1Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u11bk2Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u11bk3Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u11bk4Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u11bk4bDetection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u12ak1Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u12ak2Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u12ak3Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u12ak5Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u14bua06Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u14bua17Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u15bua19Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znFlaggedObs | [nspid]Variability | WSA NonSurvey | Number of detections in Z band flagged as potentially spurious by u16aua18Detection.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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znGoodObs | [nspid]Variability | WSA NonSurvey | Number of good detections in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zNgt3sig | [nspid]Variability | WSA NonSurvey | Number of good detections in Z-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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zNgt3sig | [nspid]Variability | WSA NonSurvey | Number of good detections in Z-band that are more than 3 sigma deviations (zAperMagN < (zMeanMag-3*zMagRms) | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| znMissingObs | [nspid]Variability | WSA NonSurvey | Number of Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zObjID | [nspid]GcsPointSource, [nspid]PointSource, [nspid]ZYJHKsource | WSA NonSurvey | DEPRECATED (do not use) | bigint | 8 | -99999999 | ID_NUMBER | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| zObjID | [nspid]Source, [nspid]SourceRemeasurement | WSA NonSurvey | DEPRECATED (do not use) | bigint | 8 | -99999999 | ID_NUMBER | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| This attribute is included in source tables for historical reasons, but it's use is not recommended unless you really know what you are doing. In general, if you need to look up detection table attributes for a source in a given passband that are not in the source table, you should make an SQL join between source, mergelog and detection using the primary key attribute frameSetID and combination multiframeID, extNum, seqNum to associate related rows between the three tables. See the Q&A example SQL for more information. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zone | [nspid]ExternalSurveyTable | WSA NonSurvey | default (0) or special (n) zone | smallint | 2 | obs.field | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| zPA | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]SynopticSource, [nspid]ZYJHKsource | WSA NonSurvey | ellipse fit celestial orientation in Z | real | 4 | Degrees | -0.9999995e9 | POS_POS-ANG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zPetroMag | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource | WSA NonSurvey | Extended source Z mag (Petrosian) | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zPetroMagErr | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource | WSA NonSurvey | Error in extended source Z mag (Petrosian) | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zppErrBits | [nspid]GcsPointSource, [nspid]PointSource, [nspid]SourceRemeasurement, [nspid]ZYJHKsource | WSA NonSurvey | additional WFAU post-processing error bits in Z | int | 4 | 0 | CODE_MISC | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| zppErrBits | [nspid]Source, [nspid]SynopticSource | WSA NonSurvey | additional WFAU post-processing error bits in Z | 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:
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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zprobVar | [nspid]Variability | WSA NonSurvey | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zPsfMag | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource | WSA NonSurvey | Point source profile-fitted Z mag | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zPsfMagErr | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource | WSA NonSurvey | Error in point source profile-fitted Z mag | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zpSystem | [nspid]RequiredMosaicTopLevel | WSA NonSurvey | System of zeropoint (Vega/AB) | varchar | 8 | 'NONE' | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| zSeqNum | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]ZYJHKsource | WSA NonSurvey | the running number of the Z detection | int | 4 | -99999999 | ID_NUMBER | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| zSeqNum | [nspid]SourceRemeasurement | WSA NonSurvey | the running number of the Z remeasurement | int | 4 | -99999999 | ID_NUMBER | ||||||||||||||||||||||||||||||||||||||||||||||||||||
| zSerMag2D | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource | WSA NonSurvey | Extended source Z mag (profile-fitted) | real | 4 | mag | -0.9999995e9 | PHOT_MAG | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zSerMag2DErr | [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource | WSA NonSurvey | Error in extended source Z mag (profile-fitted) | real | 4 | mag | -0.9999995e9 | ERROR | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zskewness | [nspid]Variability | WSA NonSurvey | Skewness in Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ztotalPeriod | [nspid]Variability | WSA NonSurvey | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zVarClass | [nspid]Variability | WSA NonSurvey | 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zXi | [nspid]GcsPointSource, [nspid]PointSource, [nspid]ZYJHKsource | WSA NonSurvey | Offset of Z detection from master position (+east/-west) | real | 4 | arcsec | -0.9999995e9 | POS_EQ_RA_OFF | |||||||||||||||||||||||||||||||||||||||||||||||||||
| zXi | [nspid]Source, [nspid]SynopticSource | WSA NonSurvey | Offset of Z 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| zyiWS | [nspid]Variability | WSA NonSurvey | Welch-Stetson statistic between Z and Y. This assumes colour does not vary much and helps remove variation due to a few poor detections | real | 4 | -0.9999995e9 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| The Welch-Stetson statistic is a measure of the correlation of the variability between two bands. We use the calculation in Welch D.L. and Stetson P.B. 1993, AJ, 105, 5, which is also used in Sesar et al. 2007, AJ, 134, 2236. We use the aperMag3 magnitude when comparing between bands. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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29/06/2018