K 
Name  Schema Table  Database  Description  Type  Length  Unit  Default Value  Unified Content Descriptor 
k_1AperMag1 
[nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource 
WSA NonSurvey 
Default point source K_1 aperture corrected mag (1.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_1AperMag1 
[nspid]Source 
WSA NonSurvey 
Default point source K_1 aperture corrected mag (1.0 arcsec aperture diameter) If in doubt use this flux estimator 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_1AperMag1Err 
[nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source 
WSA NonSurvey 
Error in point source K_1 mag (1.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
k_1AperMag3 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource 
WSA NonSurvey 
Default point source K_1 aperture corrected mag (2.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_1AperMag3 
[nspid]Source 
WSA NonSurvey 
Default point source K_1 aperture corrected mag (2.0 arcsec aperture diameter) If in doubt use this flux estimator 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_1AperMag3Err 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in default point source K_1 mag (2.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
k_1AperMag4 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Point source K_1 aperture corrected mag (2.8 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_1AperMag4Err 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in point source K_1 mag (2.8 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
k_1AperMag6 
[nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Point source K_1 aperture corrected mag (5.7 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_1AperMag6Err 
[nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in point source K_1 mag (5.7 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
k_1Class 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
discrete image classification flag in K_1 
smallint 
2 

9999 
CLASS_MISC 
k_1ClassStat 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
N(0,1) stellarnessofprofile statistic in K_1 
real 
4 

0.9999995e9 
STAT_PROP 
k_1Deblend 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource 
WSA NonSurvey 
placeholder flag indicating parent/child relation in K_1 
int 
4 

99999999 
CODE_MISC 
k_1Deblend 
[nspid]Source 
WSA NonSurvey 
placeholder flag indicating parent/child relation in K_1 
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 postprocessing software based on testing the areal profiles aprof28 (these are set by CASU to 1 for deblended components, or positive values for nondeblended detections). We encode this in an information bit of ppErrBits for convenience when querying the merged source tables. 
k_1Ell 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
1b/a, where a/b=semimajor/minor axes in K_1 
real 
4 

0.9999995e9 
PHYS_ELLIPTICITY 
k_1eNum 
[nspid]JHKmergeLog, [nspid]MergeLog, [nspid]ZYJHKmergeLog 
WSA NonSurvey 
the extension number of this K_1 frame 
tinyint 
1 


NUMBER 
k_1ErrBits 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource 
WSA NonSurvey 
processing warning/error bitwise flags in K_1 
int 
4 

99999999 
CODE_MISC 
k_1ErrBits 
[nspid]Source 
WSA NonSurvey 
processing warning/error bitwise flags in K_1 
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. 
k_1Eta 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource 
WSA NonSurvey 
Offset of K_1 detection from master position (+north/south) 
real 
4 
arcsec 
0.9999995e9 
POS_EQ_DEC_OFF 
k_1Eta 
[nspid]Source 
WSA NonSurvey 
Offset of K_1 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 nonsurvey 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. 
k_1Gausig 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
RMS of axes of ellipse fit in K_1 
real 
4 
pixels 
0.9999995e9 
MORPH_PARAM 
k_1HallMag 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Total point source K_1 mag 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_1HallMagErr 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in total point source K_1 mag 
real 
4 
mag 
0.9999995e9 
ERROR 
k_1mfID 
[nspid]JHKmergeLog, [nspid]MergeLog, [nspid]ZYJHKmergeLog 
WSA NonSurvey 
the UID of the relevant K_1 multiframe 
bigint 
8 


ID_FRAME 
k_1mh2_1Ext 
[nspid]Source 
WSA NonSurvey 
Extended source colour K_1H2_1 (using aperMag3) 
real 
4 
mag 
0.9999995e9 
PHOT_COLOR 
Default colours from pairs of adjacent passbands within a given set (e.g. YJ, JH and HK for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the pointsource 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 signaltonoise. At some point in the future, this may be changed such that pointsource colours will be computed from the PSFfitted measures and extended source colours computed from the 2d Sersic model profile fits. 
k_1mh2_1ExtErr 
[nspid]Source 
WSA NonSurvey 
Error on extended source colour K_1H2_1 
real 
4 
mag 
0.9999995e9 
ERROR 
Default colours from pairs of adjacent passbands within a given set (e.g. YJ, JH and HK for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the pointsource 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 signaltonoise. At some point in the future, this may be changed such that pointsource colours will be computed from the PSFfitted measures and extended source colours computed from the 2d Sersic model profile fits. 
k_1mh2_1Pnt 
[nspid]Source 
WSA NonSurvey 
Point source colour K_1H2_1 (using aperMag3) 
real 
4 
mag 
0.9999995e9 
PHOT_COLOR 
Default colours from pairs of adjacent passbands within a given set (e.g. YJ, JH and HK for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the pointsource 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 signaltonoise. At some point in the future, this may be changed such that pointsource colours will be computed from the PSFfitted measures and extended source colours computed from the 2d Sersic model profile fits. 
k_1mh2_1PntErr 
[nspid]Source 
WSA NonSurvey 
Error on point source colour K_1H2_1 
real 
4 
mag 
0.9999995e9 
ERROR 
Default colours from pairs of adjacent passbands within a given set (e.g. YJ, JH and HK for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the pointsource 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 signaltonoise. At some point in the future, this may be changed such that pointsource colours will be computed from the PSFfitted measures and extended source colours computed from the 2d Sersic model profile fits. 
k_1PA 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
ellipse fit celestial orientation in K_1 
real 
4 
Degrees 
0.9999995e9 
POS_POSANG 
k_1PetroMag 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Extended source K_1 mag (Petrosian) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_1PetroMagErr 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in extended source K_1 mag (Petrosian) 
real 
4 
mag 
0.9999995e9 
ERROR 
k_1ppErrBits 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource 
WSA NonSurvey 
additional WFAU postprocessing error bits in K_1 
int 
4 

0 
CODE_MISC 
k_1ppErrBits 
[nspid]Source 
WSA NonSurvey 
additional WFAU postprocessing error bits in K_1 
int 
4 

0 
CODE_MISC 
Postprocessing 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 4byte 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: Byte  Bit  Detection quality issue  Threshold or bit mask  Applies to     Decimal  Hexadecimal   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. 
k_1PsfMag 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Point source profilefitted K_1 mag 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_1PsfMagErr 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in point source profilefitted K_1 mag 
real 
4 
mag 
0.9999995e9 
ERROR 
k_1SeqNum 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
the running number of the K_1 detection 
int 
4 

99999999 
ID_NUMBER 
k_1SerMag2D 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Extended source K_1 mag (profilefitted) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_1SerMag2DErr 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in extended source K_1 mag (profilefitted) 
real 
4 
mag 
0.9999995e9 
ERROR 
k_1Xi 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource 
WSA NonSurvey 
Offset of K_1 detection from master position (+east/west) 
real 
4 
arcsec 
0.9999995e9 
POS_EQ_RA_OFF 
k_1Xi 
[nspid]Source 
WSA NonSurvey 
Offset of K_1 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 nonsurvey 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. 
k_2AperMag1 
[nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource 
WSA NonSurvey 
Default point source K_2 aperture corrected mag (1.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_2AperMag1 
[nspid]Source 
WSA NonSurvey 
Default point source K_2 aperture corrected mag (1.0 arcsec aperture diameter) If in doubt use this flux estimator 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_2AperMag1Err 
[nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source 
WSA NonSurvey 
Error in point source K_2 mag (1.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
k_2AperMag3 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource 
WSA NonSurvey 
Default point source K_2 aperture corrected mag (2.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_2AperMag3 
[nspid]Source 
WSA NonSurvey 
Default point source K_2 aperture corrected mag (2.0 arcsec aperture diameter) If in doubt use this flux estimator 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_2AperMag3Err 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in default point source K_2 mag (2.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
k_2AperMag4 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Point source K_2 aperture corrected mag (2.8 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_2AperMag4Err 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in point source K_2 mag (2.8 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
k_2AperMag6 
[nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Point source K_2 aperture corrected mag (5.7 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_2AperMag6Err 
[nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in point source K_2 mag (5.7 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
k_2Class 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
discrete image classification flag in K_2 
smallint 
2 

9999 
CLASS_MISC 
k_2ClassStat 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
N(0,1) stellarnessofprofile statistic in K_2 
real 
4 

0.9999995e9 
STAT_PROP 
k_2Deblend 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource 
WSA NonSurvey 
placeholder flag indicating parent/child relation in K_2 
int 
4 

99999999 
CODE_MISC 
k_2Deblend 
[nspid]Source 
WSA NonSurvey 
placeholder flag indicating parent/child relation in K_2 
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 postprocessing software based on testing the areal profiles aprof28 (these are set by CASU to 1 for deblended components, or positive values for nondeblended detections). We encode this in an information bit of ppErrBits for convenience when querying the merged source tables. 
k_2Ell 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
1b/a, where a/b=semimajor/minor axes in K_2 
real 
4 

0.9999995e9 
PHYS_ELLIPTICITY 
k_2eNum 
[nspid]JHKmergeLog, [nspid]MergeLog, [nspid]ZYJHKmergeLog 
WSA NonSurvey 
the extension number of this K_2 frame 
tinyint 
1 


NUMBER 
k_2ErrBits 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource 
WSA NonSurvey 
processing warning/error bitwise flags in K_2 
int 
4 

99999999 
CODE_MISC 
k_2ErrBits 
[nspid]Source 
WSA NonSurvey 
processing warning/error bitwise flags in K_2 
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. 
k_2Eta 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource 
WSA NonSurvey 
Offset of K_2 detection from master position (+north/south) 
real 
4 
arcsec 
0.9999995e9 
POS_EQ_DEC_OFF 
k_2Eta 
[nspid]Source 
WSA NonSurvey 
Offset of K_2 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 nonsurvey 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. 
k_2Gausig 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
RMS of axes of ellipse fit in K_2 
real 
4 
pixels 
0.9999995e9 
MORPH_PARAM 
k_2HallMag 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Total point source K_2 mag 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_2HallMagErr 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in total point source K_2 mag 
real 
4 
mag 
0.9999995e9 
ERROR 
k_2mfID 
[nspid]JHKmergeLog, [nspid]MergeLog, [nspid]ZYJHKmergeLog 
WSA NonSurvey 
the UID of the relevant K_2 multiframe 
bigint 
8 


ID_FRAME 
k_2mh2_2Ext 
[nspid]Source 
WSA NonSurvey 
Extended source colour K_2H2_2 (using aperMag3) 
real 
4 
mag 
0.9999995e9 
PHOT_COLOR 
Default colours from pairs of adjacent passbands within a given set (e.g. YJ, JH and HK for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the pointsource 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 signaltonoise. At some point in the future, this may be changed such that pointsource colours will be computed from the PSFfitted measures and extended source colours computed from the 2d Sersic model profile fits. 
k_2mh2_2ExtErr 
[nspid]Source 
WSA NonSurvey 
Error on extended source colour K_2H2_2 
real 
4 
mag 
0.9999995e9 
ERROR 
Default colours from pairs of adjacent passbands within a given set (e.g. YJ, JH and HK for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the pointsource 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 signaltonoise. At some point in the future, this may be changed such that pointsource colours will be computed from the PSFfitted measures and extended source colours computed from the 2d Sersic model profile fits. 
k_2mh2_2Pnt 
[nspid]Source 
WSA NonSurvey 
Point source colour K_2H2_2 (using aperMag3) 
real 
4 
mag 
0.9999995e9 
PHOT_COLOR 
Default colours from pairs of adjacent passbands within a given set (e.g. YJ, JH and HK for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the pointsource 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 signaltonoise. At some point in the future, this may be changed such that pointsource colours will be computed from the PSFfitted measures and extended source colours computed from the 2d Sersic model profile fits. 
k_2mh2_2PntErr 
[nspid]Source 
WSA NonSurvey 
Error on point source colour K_2H2_2 
real 
4 
mag 
0.9999995e9 
ERROR 
Default colours from pairs of adjacent passbands within a given set (e.g. YJ, JH and HK for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the pointsource 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 signaltonoise. At some point in the future, this may be changed such that pointsource colours will be computed from the PSFfitted measures and extended source colours computed from the 2d Sersic model profile fits. 
k_2PA 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
ellipse fit celestial orientation in K_2 
real 
4 
Degrees 
0.9999995e9 
POS_POSANG 
k_2PetroMag 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Extended source K_2 mag (Petrosian) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_2PetroMagErr 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in extended source K_2 mag (Petrosian) 
real 
4 
mag 
0.9999995e9 
ERROR 
k_2ppErrBits 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource 
WSA NonSurvey 
additional WFAU postprocessing error bits in K_2 
int 
4 

0 
CODE_MISC 
k_2ppErrBits 
[nspid]Source 
WSA NonSurvey 
additional WFAU postprocessing error bits in K_2 
int 
4 

0 
CODE_MISC 
Postprocessing 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 4byte 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: Byte  Bit  Detection quality issue  Threshold or bit mask  Applies to     Decimal  Hexadecimal   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. 
k_2PsfMag 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Point source profilefitted K_2 mag 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_2PsfMagErr 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in point source profilefitted K_2 mag 
real 
4 
mag 
0.9999995e9 
ERROR 
k_2SeqNum 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
the running number of the K_2 detection 
int 
4 

99999999 
ID_NUMBER 
k_2SerMag2D 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Extended source K_2 mag (profilefitted) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
k_2SerMag2DErr 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in extended source K_2 mag (profilefitted) 
real 
4 
mag 
0.9999995e9 
ERROR 
k_2Xi 
[nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource 
WSA NonSurvey 
Offset of K_2 detection from master position (+east/west) 
real 
4 
arcsec 
0.9999995e9 
POS_EQ_RA_OFF 
k_2Xi 
[nspid]Source 
WSA NonSurvey 
Offset of K_2 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 nonsurvey 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. 
kAperMag1 
[nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource 
WSA NonSurvey 
Default point source K aperture corrected mag (1.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag1 
[nspid]Source 
WSA NonSurvey 
Default point source K aperture corrected mag (1.0 arcsec aperture diameter) If in doubt use this flux estimator 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag1 
[nspid]SynopticSource 
WSA NonSurvey 
Extended source K aperture corrected mag (1.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag1Err 
[nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source 
WSA NonSurvey 
Error in point source K mag (1.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
kAperMag1Err 
[nspid]SynopticSource 
WSA NonSurvey 
Error in extended source K mag (1.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
kAperMag2 
[nspid]SynopticSource 
WSA NonSurvey 
Extended source K aperture corrected mag (1.4 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag2Err 
[nspid]SynopticSource 
WSA NonSurvey 
Error in extended source K mag (1.4 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
kAperMag3 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Default point source K aperture corrected mag (2.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag3 
[nspid]Source 
WSA NonSurvey 
Default point/extended source K aperture corrected mag (2.0 arcsec aperture diameter) If in doubt use this flux estimator 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag3 
[nspid]Source 
WSA NonSurvey 
Default point/extended source K mag, no aperture correction applied If in doubt use this flux estimator 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag3 
[nspid]Source 
WSA NonSurvey 
Default point source K aperture corrected mag (2.0 arcsec aperture diameter) If in doubt use this flux estimator 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag3 
[nspid]SynopticSource 
WSA NonSurvey 
Default point/extended source K aperture corrected mag (2.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag3 
[nspid]UdsSource 
WSA NonSurvey 
Default point/extended source K mag, no aperture correction applied 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag3Err 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in default point source K mag (2.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
kAperMag3Err 
[nspid]Source, [nspid]SynopticSource, [nspid]UdsSource 
WSA NonSurvey 
Error in default point/extended source K mag (2.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
kAperMag4 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Point source K aperture corrected mag (2.8 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag4 
[nspid]Source, [nspid]SynopticSource 
WSA NonSurvey 
Extended source K aperture corrected mag (2.8 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag4 
[nspid]Source, [nspid]UdsSource 
WSA NonSurvey 
Extended source K mag, no aperture correction applied 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag4Err 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in point source K mag (2.8 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
kAperMag4Err 
[nspid]Source, [nspid]SynopticSource, [nspid]UdsSource 
WSA NonSurvey 
Error in extended source K mag (2.8 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
kAperMag5 
[nspid]SynopticSource 
WSA NonSurvey 
Extended source K aperture corrected mag (4.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag5Err 
[nspid]SynopticSource 
WSA NonSurvey 
Error in extended source K mag (4.0 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
kAperMag6 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Point source K aperture corrected mag (5.7 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag6 
[nspid]Source 
WSA NonSurvey 
Extended source K aperture corrected mag (5.7 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag6 
[nspid]Source, [nspid]UdsSource 
WSA NonSurvey 
Extended source K mag, no aperture correction applied 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kAperMag6Err 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in point source K mag (5.7 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
kAperMag6Err 
[nspid]Source, [nspid]UdsSource 
WSA NonSurvey 
Error in extended source K mag (5.7 arcsec aperture diameter) 
real 
4 
mag 
0.9999995e9 
ERROR 
kaStratAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Strateva parameter, a, in fit to astrometric rms vs magnitude in K 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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. 
kaStratAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Parameter, c0 from FerreiraLopes & Cross 2017, Eq. 18, in fit to astrometric rms vs magnitude in K band. 
real 
4 

0.9999995e9 
stat.fit.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. 
kaStratPht 
[nspid]QsoMapVarFrameSetInfo 
WSA NonSurvey 
Strateva parameter, a, in fit to photometric rms vs magnitude in K band, see Sesar et al. 2007. 
real 
4 

0.9999995e9 
stat.fit.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
kaStratPht 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Strateva parameter, a, in fit to photometric rms vs magnitude in K 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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
kaStratPht 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Parameter, c0 from FerreiraLopes & Cross 2017, Eq. 18, in fit to photometric rms vs magnitude in K band. 
real 
4 

0.9999995e9 
stat.fit.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
kbestAper 
[nspid]QsoMapVariability 
WSA NonSurvey 
Best aperture (13) for photometric statistics in the K band 
int 
4 

9999 

Aperture magnitude (16) 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) 
kbestAper 
[nspid]Variability 
WSA NonSurvey 
Best aperture (16) for photometric statistics in the K band 
int 
4 

9999 

Aperture magnitude (16) 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) 
kbStratAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Strateva parameter, b, in fit to astrometric rms vs magnitude in K 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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. 
kbStratAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Parameter, c1 from FerreiraLopes & Cross 2017, Eq. 18, in fit to astrometric rms vs magnitude in K band. 
real 
4 

0.9999995e9 
stat.fit.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. 
kbStratPht 
[nspid]QsoMapVarFrameSetInfo 
WSA NonSurvey 
Strateva parameter, b, in fit to photometric rms vs magnitude in K band, see Sesar et al. 2007. 
real 
4 

0.9999995e9 
stat.fit.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
kbStratPht 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Strateva parameter, b, in fit to photometric rms vs magnitude in K 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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
kbStratPht 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Parameter, c1 from FerreiraLopes & Cross 2017, Eq. 18, in fit to photometric rms vs magnitude in K band. 
real 
4 

0.9999995e9 
stat.fit.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
kchiSqAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Goodness of fit of Strateva function to astrometric data in K 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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. 
kchiSqAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Goodness of fit of Strateva function to astrometric data in K band 
real 
4 

0.9999995e9 
stat.fit.goodness;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. 
kchiSqpd 
[nspid]QsoMapVariability, [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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
kchiSqPht 
[nspid]QsoMapVarFrameSetInfo 
WSA NonSurvey 
Goodness of fit of Strateva function to photometric data in K band 
real 
4 

0.9999995e9 
stat.fit.goodness;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
kchiSqPht 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Goodness of fit of Strateva function to photometric data in K 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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
kClass 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
discrete image classification flag in K 
smallint 
2 

9999 
CLASS_MISC 
kClassStat 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
N(0,1) stellarnessofprofile statistic in K 
real 
4 

0.9999995e9 
STAT_PROP 
kClassStat 
[nspid]Source, [nspid]UdsSource 
WSA NonSurvey 
SExtractor classification statistic in K 
real 
4 

0.9999995e9 
STAT_PROP 
kcStratAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Strateva parameter, c, in fit to astrometric rms vs magnitude in K 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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. 
kcStratAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Parameter, c2 from FerreiraLopes & Cross 2017, Eq. 18, in fit to astrometric rms vs magnitude in K band. 
real 
4 

0.9999995e9 
stat.fit.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. 
kcStratPht 
[nspid]QsoMapVarFrameSetInfo 
WSA NonSurvey 
Strateva parameter, c, in fit to photometric rms vs magnitude in K band, see Sesar et al. 2007. 
real 
4 

0.9999995e9 
stat.fit.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
kcStratPht 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Strateva parameter, c, in fit to photometric rms vs magnitude in K 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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
kcStratPht 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Parameter, c2 from FerreiraLopes & Cross 2017, Eq. 18, in fit to photometric rms vs magnitude in K band. 
real 
4 

0.9999995e9 
stat.fit.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
kDeblend 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
placeholder flag indicating parent/child relation in K 
int 
4 

99999999 
CODE_MISC 
kDeblend 
[nspid]Source 
WSA NonSurvey 
placeholder flag indicating parent/child relation in K 
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 postprocessing software based on testing the areal profiles aprof28 (these are set by CASU to 1 for deblended components, or positive values for nondeblended detections). We encode this in an information bit of ppErrBits for convenience when querying the merged source tables. 
kdStratAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Parameter, c3 from FerreiraLopes & Cross 2017, Eq. 18, in fit to astrometric rms vs magnitude in K band. 
real 
4 

0.9999995e9 
stat.fit.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. 
kdStratPht 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Parameter, c0 from FerreiraLopes & Cross 2017, Eq. 18, in fit to photometric rms vs magnitude in K band. 
real 
4 

0.9999995e9 
stat.fit.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
kEll 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
1b/a, where a/b=semimajor/minor axes in K 
real 
4 

0.9999995e9 
PHYS_ELLIPTICITY 
keNum 
[nspid]JHKmergeLog, [nspid]JKmergeLog, [nspid]MergeLog, [nspid]SynopticMergeLog, [nspid]YJHKmergeLog, [nspid]ZYJHKmergeLog 
WSA NonSurvey 
the extension number of this K frame 
tinyint 
1 


NUMBER 
kErrBits 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]UdsSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
processing warning/error bitwise flags in K 
int 
4 

99999999 
CODE_MISC 
kErrBits 
[nspid]Source 
WSA NonSurvey 
processing warning/error bitwise flags in K 
int 
4 

99999999 
CODE_MISC 
This uses the FLAGS attribute in SE. The individual bit flags that this can be decomposed into are as follows: Bit Flag  Meaning   1  The object has neighbours, bright enough and close enough to significantly bias the MAG_AUTO photometry or bad pixels (more than 10% of photometry affected).   2  The object was originally blended with another   4  At least one pixel is saturated (or very close to)   8  The object is truncated (too close to an image boundary)   16  Object's aperture data are incomplete or corrupted   32  Object's isophotal data are imcomplete or corrupted. This is an old flag inherited from SE v1.0, and is kept for compatability reasons. It doesn't have any consequence for the extracted parameters.   64  Memory overflow occurred during deblending   128  Memory overflow occurred during extraction  

kErrBits 
[nspid]Source, [nspid]SynopticSource 
WSA NonSurvey 
processing warning/error bitwise flags in K 
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. 
kEta 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]UdsSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Offset of K detection from master position (+north/south) 
real 
4 
arcsec 
0.9999995e9 
POS_EQ_DEC_OFF 
kEta 
[nspid]Source, [nspid]SynopticSource 
WSA NonSurvey 
Offset of K 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 nonsurvey 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. 
kexpML 
[nspid]QsoMapVarFrameSetInfo 
WSA NonSurvey 
Expected magnitude limit of frameSet in this in K band. 
real 
4 
mag 
0.9999995e9 
phot.mag;em.IR.K;stat.max 
kexpML 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Expected magnitude limit of frameSet in this in K 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. 
kExpRms 
[nspid]QsoMapVariability, [nspid]Variability 
WSA NonSurvey 
Rms calculated from polynomial fit to modal RMS as a function of magnitude in K 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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
kGausig 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
RMS of axes of ellipse fit in K 
real 
4 
pixels 
0.9999995e9 
MORPH_PARAM 
kHallMag 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Total point source K mag 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kHallMag 
[nspid]Source, [nspid]UdsSource 
WSA NonSurvey 
Not available in SE output 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kHallMagErr 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in total point source K mag 
real 
4 
mag 
0.9999995e9 
ERROR 
kHallMagErr 
[nspid]Source, [nspid]UdsSource 
WSA NonSurvey 
Not available in SE output 
real 
4 
mag 
0.9999995e9 
ERROR 
kIntRms 
[nspid]QsoMapVariability, [nspid]Variability 
WSA NonSurvey 
Intrinsic rms in Kband 
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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
kisDefAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Use a default model for the astrometric noise in K band. 
tinyint 
1 

0 

kisDefAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Use a default model for the astrometric noise in K band. 
tinyint 
1 

0 
meta.code;em.IR.K 
kisDefPht 
[nspid]QsoMapVarFrameSetInfo 
WSA NonSurvey 
Use a default model for the photometric noise in K band. 
tinyint 
1 

0 
meta.code;em.IR.K 
kisDefPht 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Use a default model for the photometric noise in K band. 
tinyint 
1 

0 

kMag 
[nspid]FSstars 
WSA NonSurvey 
K band total magnitude on the MKO(UFTI) system 
real 
4 
mag 

phot.mag 
kMagErr 
[nspid]FSstars 
WSA NonSurvey 
K band magnitude error 
real 
4 
mag 

stat.error 
kMagMAD 
[nspid]QsoMapVariability, [nspid]Variability 
WSA NonSurvey 
Median Absolute Deviation of K 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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
kMagRms 
[nspid]QsoMapVariability, [nspid]Variability 
WSA NonSurvey 
rms of K 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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
kmaxCadence 
[nspid]QsoMapVariability, [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. 
kMaxMag 
[nspid]QsoMapVariability, [nspid]Variability 
WSA NonSurvey 
Maximum magnitude in K 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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
kmeanMag 
[nspid]QsoMapVariability, [nspid]Variability 
WSA NonSurvey 
Mean K 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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
kmedCadence 
[nspid]QsoMapVariability, [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. 
kmedianMag 
[nspid]QsoMapVariability, [nspid]Variability 
WSA NonSurvey 
Median K 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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
kmfID 
[nspid]JHKmergeLog, [nspid]JKmergeLog, [nspid]MergeLog, [nspid]SynopticMergeLog, [nspid]YJHKmergeLog, [nspid]ZYJHKmergeLog 
WSA NonSurvey 
the UID of the relevant K multiframe 
bigint 
8 


ID_FRAME 
kminCadence 
[nspid]QsoMapVariability, [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. 
kMinMag 
[nspid]QsoMapVariability, [nspid]Variability 
WSA NonSurvey 
Minimum magnitude in K 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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
kndof 
[nspid]QsoMapVariability, [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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
knDofAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Number of degrees of freedom of astrometric fit in K 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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. 
knDofAst 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Number of degrees of freedom of astrometric fit in K band. 
smallint 
2 

9999 
stat.fit.dof;stat.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. 
knDofPht 
[nspid]QsoMapVarFrameSetInfo 
WSA NonSurvey 
Number of degrees of freedom of photometric fit in K band. 
smallint 
2 

9999 
stat.fit.dof;stat.param;em.IR.K 
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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
knDofPht 
[nspid]VarFrameSetInfo 
WSA NonSurvey 
Number of degrees of freedom of photometric fit in K 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 medianabsolute 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 chisquared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by dxsDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u05a3Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u05ah16aDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u05ah44bDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u05b12Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u05b13Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u05b17Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u05b19Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u05b3Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u05bh24Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u05bh47Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u05bj1Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u05bj3Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u06a10Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u06a12Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u06a35Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u06a3Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u06a40Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u06ad5Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u06aj2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u06b30Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u06b40Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u07a24Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u07ad2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u07ah16Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u07ah32Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u07ah51Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u07ah8Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u07b17Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u07b5Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u07b6Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u08ah61Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u08bh2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u08bh9Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u08bj10Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u09a1Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u09a4Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u09a5Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u09ah33Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u09ak1Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u09b1Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u09bd1Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u09bh14Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u09bh15Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u09bj2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u09bk1Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10a2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10a6Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10ad2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10ad6Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10ah99Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10aj2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10aj5Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10ak1Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10ak2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10ak4Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10b4Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10b8Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10bd05Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u10bj2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u11ad1Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u11ah2aDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u11bd2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u11bk5Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u12ah11bDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u12ah17bDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u12bd1Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u12bd2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u12bd3Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u12bd7Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u12bk2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u12bk3Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u12bk4Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u13a01Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u13a04Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u13a06Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u13ad1Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u13ah28bDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u13akasi2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u14bua02Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u14bua10Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u14bua16Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u14bua18Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u15ah01Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u15aua12aDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u15bh02Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u15bna04Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u15bua02aDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u15bua08aDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u15bua11Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u15bua12aDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u15bua13aDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u15bua18Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u16ah04Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u16ah07Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u16ah08Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u16aua08aDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K 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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u16bh03Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u16bh04Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u16bua02Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u16bua17Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u17ah03Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u17ah04Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u17aua01Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u17aua02Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u17auo01Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u17bd01Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u17bh01Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u17bh03Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u17buo01Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u18aeap005Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u18aeap008Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u18ah02aDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u18ah02bDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u18ah03Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u18beap001Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u18beap002Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u18beap004Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u18bnav02Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u18bnav04Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u18bnav05Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by u18bncu04Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by ucmp4Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by udsDetection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1639Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1671Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1677Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1709Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1720Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1735Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1736Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1737Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1747Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1800Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1801Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1876Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1877Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by userv1878Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by wserv11Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by wserv12Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by wserv1Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by wserv2Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by wserv3Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by wserv5Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by wserv6Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by wserv7Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by wserv8Detection.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. 
knFlaggedObs 
[nspid]Variability 
WSA NonSurvey 
Number of detections in K band flagged as potentially spurious by wserv9Detection.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. 
knGoodObs 
[nspid]Variability 
WSA NonSurvey 
Number of good detections in K 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. 
kNgt3sig 
[nspid]QsoMapVariability, [nspid]Variability 
WSA NonSurvey 
Number of good detections in Kband that are more than 3 sigma deviations (kAperMagN < (kMeanMag3*kMagRms) 
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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
kNgt3sig 
[nspid]Variability 
WSA NonSurvey 
Number of good detections in Kband 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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
knMissingObs 
[nspid]Variability 
WSA NonSurvey 
Number of K 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. 
knNegFlagObs 
[nspid]QsoMapVariability 
WSA NonSurvey 
Number of flagged negative measurements in K band by wserv1000MapRemeasurement.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. 
knNegObs 
[nspid]QsoMapVariability 
WSA NonSurvey 
Number of unflagged negative measurements K 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. 
knPosFlagObs 
[nspid]QsoMapVariability 
WSA NonSurvey 
Number of flagged positive measurements in K band by wserv1000MapRemeasurement.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. 
knPosObs 
[nspid]QsoMapVariability 
WSA NonSurvey 
Number of unflagged positive measurements in K 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. 
kPA 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
ellipse fit celestial orientation in K 
real 
4 
Degrees 
0.9999995e9 
POS_POSANG 
kPetroMag 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]UdsSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Extended source K mag (Petrosian) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kPetroMagErr 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]UdsSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in extended source K mag (Petrosian) 
real 
4 
mag 
0.9999995e9 
ERROR 
kppErrBits 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]UdsSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
additional WFAU postprocessing error bits in K 
int 
4 

0 
CODE_MISC 
kppErrBits 
[nspid]Source, [nspid]SynopticSource 
WSA NonSurvey 
additional WFAU postprocessing error bits in K 
int 
4 

0 
CODE_MISC 
Postprocessing 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 4byte 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: Byte  Bit  Detection quality issue  Threshold or bit mask  Applies to     Decimal  Hexadecimal   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. 
kprobVar 
[nspid]QsoMapVariability, [nspid]Variability 
WSA NonSurvey 
Probability of variable from chisquare (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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
kPsfMag 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Point source profilefitted K mag 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kPsfMag 
[nspid]Source, [nspid]UdsSource 
WSA NonSurvey 
Not available in SE output 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kPsfMagErr 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in point source profilefitted K mag 
real 
4 
mag 
0.9999995e9 
ERROR 
kPsfMagErr 
[nspid]Source, [nspid]UdsSource 
WSA NonSurvey 
Not available in SE output 
real 
4 
mag 
0.9999995e9 
ERROR 
kronFlux 
[nspid]Detection 
WSA NonSurvey 
flux within Kron radius circular aperture (SE: FLUX_AUTO) {catalogue TType keyword: Kron_flux} 
real 
4 
ADU 

PHOT_INTENSITY_ADU 
kronFlux 
[nspid]Detection 
WSA NonSurvey 
flux within circular aperture to k × r_k ; k = 2 {catalogue TType keyword: Kron_flux} 
real 
4 
ADU 

PHOT_INTENSITY_ADU 
kronFlux 
[nspid]MapRemeasurement 
WSA NonSurvey 
flux within Kron radius circular aperture (SE: FLUX_AUTO; CASU: default) {catalogue TType keyword: Kron_flux} 
real 
4 
ADU 

phot.count 
kronFlux 
[nspid]UKIDSSDetection 
WSA NonSurvey 
flux within circular aperture to k × r_k ; k = 2 
real 
4 
ADU 

PHOT_INTENSITY_ADU 
kronFluxErr 
[nspid]Detection 
WSA NonSurvey 
error on Kron flux (SE: FLUXERR_AUTO) {catalogue TType keyword: Kron_flux_err} 
real 
4 
ADU 

ERROR 
kronFluxErr 
[nspid]Detection 
WSA NonSurvey 
error on Kron flux {catalogue TType keyword: Kron_flux_err} 
real 
4 
ADU 

ERROR 
kronFluxErr 
[nspid]MapRemeasurement 
WSA NonSurvey 
error on Kron flux (SE: FLUXERR_AUTO; CASU: default) {catalogue TType keyword: Kron_flux_err} 
real 
4 
ADU 

stat.error 
kronFluxErr 
[nspid]UKIDSSDetection 
WSA NonSurvey 
error on Kron flux 
real 
4 
ADU 

ERROR 
kronJky 
[nspid]MapRemeasurement 
WSA NonSurvey 
Calibrated Kron flux within aperture r_k (CASU: default) 
real 
4 
jansky 

phot.mag 
kronJkyErr 
[nspid]MapRemeasurement 
WSA NonSurvey 
error on calibrated Kron flux 
real 
4 
jansky (CASU: default) 

stat.error 
kronLup 
[nspid]MapRemeasurement 
WSA NonSurvey 
Calibrated Kron luptitude within aperture r_k (CASU: default) 
real 
4 
lup 

phot.mag 
kronLupErr 
[nspid]MapRemeasurement 
WSA NonSurvey 
error on calibrated Kron luptitude 
real 
4 
lup (CASU: default) 

stat.error 
kronMag 
[nspid]Detection, [nspid]UKIDSSDetection 
WSA NonSurvey 
Calibrated Kron magnitude within circular aperture r_k 
real 
4 
mag 

PHOT_INTMAG 
kronMag 
[nspid]MapRemeasurement 
WSA NonSurvey 
Calibrated Kron magnitude within aperture r_k (CASU: default) 
real 
4 
mag 

phot.mag 
kronMagErr 
[nspid]Detection, [nspid]UKIDSSDetection 
WSA NonSurvey 
error on calibrated Kron magnitude 
real 
4 
mag 

ERROR 
kronMagErr 
[nspid]MapRemeasurement 
WSA NonSurvey 
error on calibrated Kron magnitude 
real 
4 
mag (CASU: default) 

stat.error 
kronRad 
[nspid]Detection 
WSA NonSurvey 
Kron radius as defined in SE by Graham and Driver (2005) (SE: KRON_RADIUS*A_IMAGE) {catalogue TType keyword: Kron_radius} r_k = ∑R² I(R) / ∑R I(R) 
real 
4 
pixels 

EXTENSION_RAD 
Since <FLUX>_RADIUS is expressed in multiples of the major axis, <FLUX>_RADIUS is multiplied by A_IMAGE to convert to pixels. 
kronRad 
[nspid]Detection 
WSA NonSurvey 
r_k as defined in Bertin and Arnouts 1996 A&A Supp 117 393 {catalogue TType keyword: Kron_radius} 
real 
4 
pixels 

EXTENSION_RAD 
kronRad 
[nspid]MapRemeasurement 
WSA NonSurvey 
Kron radius as defined in SE by Graham and Driver (2005) (SE: KRON_RADIUS*A_IMAGE; CASU: default) {catalogue TType keyword: Kron_radius} r_k = ∑R² I(R) / ∑R I(R) 
real 
4 
pixels 

phys.angSize 
Since <FLUX>_RADIUS is expressed in multiples of the major axis, <FLUX>_RADIUS is multiplied by A_IMAGE to convert to pixels. 
kronRad 
[nspid]UKIDSSDetection 
WSA NonSurvey 
r_k as defined in Bertin and Arnouts 1996 A&A Supp 117 393 
real 
4 
pixels 

EXTENSION_RAD 
kSeqNum 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
the running number of the K detection 
int 
4 

99999999 
ID_NUMBER 
kSerMag2D 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Extended source K mag (profilefitted) 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kSerMag2D 
[nspid]Source, [nspid]UdsSource 
WSA NonSurvey 
Not available in SE output 
real 
4 
mag 
0.9999995e9 
PHOT_MAG 
kSerMag2DErr 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Error in extended source K mag (profilefitted) 
real 
4 
mag 
0.9999995e9 
ERROR 
kSerMag2DErr 
[nspid]Source, [nspid]UdsSource 
WSA NonSurvey 
Not available in SE output 
real 
4 
mag 
0.9999995e9 
ERROR 
kskewness 
[nspid]QsoMapVariability, [nspid]Variability 
WSA NonSurvey 
Skewness in K 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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
ktotalPeriod 
[nspid]QsoMapVariability, [nspid]Variability 
WSA NonSurvey 
total period of observations (last obsfirst 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. 
kVarClass 
[nspid]QsoMapVariability, [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 chisquared is calculated, assuming a nonvariable object which has the noise from the expectedrms and mean calculated as above. The probVar statistic assumes a chisquared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. 
kXi 
[nspid]DxsSource, [nspid]ExtendedSource, [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]UdsSource, [nspid]YJHKsource, [nspid]ZYJHKsource 
WSA NonSurvey 
Offset of K detection from master position (+east/west) 
real 
4 
arcsec 
0.9999995e9 
POS_EQ_RA_OFF 
kXi 
[nspid]Source, [nspid]SynopticSource 
WSA NonSurvey 
Offset of K 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 nonsurvey 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. 