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Glossary of WSA NonSurvey attributes (UKIDSSDR10)

This Glossary alphabetically lists all attributes used in the WSA NonSurvey database(s) held in the WSA. If you would like to have more information about the schema tables please use the Schema Browser (other Browser versions).
A B C D E F G H I J K L M
N O P Q R S T U V W X Y Z

K

NameSchema TableDatabaseDescriptionTypeLengthUnitDefault ValueUnified Content Descriptor
k_1AperMag1 [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source WSA NonSurvey Extended source 1st epoch K aperture corrected mag (1.0 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
k_1AperMag1Err [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source WSA NonSurvey Error in extended source 1st epoch K 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/extended source 1st epoch K aperture corrected mag (2.0 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
k_1AperMag3 [nspid]Source WSA NonSurvey Default point/extended source 1st epoch K aperture corrected mag (2.0 arcsec aperture diameter)
If in doubt use this flux estimator
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/extended source 1st epoch K mag (2.0 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
k_1AperMag3Err [nspid]Source 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 Extended source 1st epoch K aperture corrected mag (2.8 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
k_1AperMag4 [nspid]Source 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 extended source 1st epoch K mag (2.8 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
k_1AperMag4Err [nspid]Source 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 Extended source 1st epoch K aperture corrected mag (5.7 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
k_1AperMag6 [nspid]Source 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 extended source 1st epoch K mag (5.7 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
k_1AperMag6Err [nspid]Source 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]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey discrete image classification flag in 1st epoch K smallint 2   -9999 CLASS_MISC
k_1Class [nspid]Source WSA NonSurvey discrete image classification flag in K_1 smallint 2   -9999 CLASS_MISC
k_1ClassStat [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey N(0,1) stellarness-of-profile statistic in 1st epoch K real 4   -0.9999995e9 STAT_PROP
k_1ClassStat [nspid]GpsPointSource, [nspid]JHKsource WSA NonSurvey S-Extractor classification statistic in 1st epoch K real 4   -0.9999995e9 STAT_PROP
k_1ClassStat [nspid]Source WSA NonSurvey N(0,1) stellarness-of-profile statistic in K_1 real 4   -0.9999995e9 STAT_PROP
k_1Deblend [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey placeholder flag indicating parent/child relation in 1st epoch K int 4   -99999999 CODE_MISC
k_1Deblend [nspid]Source WSA NonSurvey placeholder flag indicating parent/child relation in 1st epoch 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 post-processing software based on testing the areal profiles aprof2-8 (these are set by CASU to -1 for deblended components, or positive values for non-deblended detections). We encode this in an information bit of ppErrBits for convenience when querying the merged source tables.
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 post-processing software based on testing the areal profiles aprof2-8 (these are set by CASU to -1 for deblended components, or positive values for non-deblended detections). We encode this in an information bit of ppErrBits for convenience when querying the merged source tables.
k_1Ell [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey 1-b/a, where a/b=semi-major/minor axes in 1st epoch K real 4   -0.9999995e9 PHYS_ELLIPTICITY
k_1Ell [nspid]Source WSA NonSurvey 1-b/a, where a/b=semi-major/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 1st epoch K frame tinyint 1     NUMBER
k_1eNum [nspid]MergeLog WSA NonSurvey the extension number of this K_1 frame tinyint 1     NUMBER
k_1ErrBits [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey processing warning/error bitwise flags in 1st epoch K int 4   -99999999 CODE_MISC
k_1ErrBits [nspid]Source WSA NonSurvey processing warning/error bitwise flags in 1st epoch 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.
k_1ErrBits [nspid]Source WSA NonSurvey processing warning/error bitwise flags in 1st epoch 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 FlagMeaning
1The object has neighbours, bright enough and close enough to significantly bias the MAG_AUTO photometry or bad pixels (more than 10% of photometry affected).
2The object was originally blended with another
4At least one pixel is saturated (or very close to)
8The object is truncated (too close to an image boundary)
16Object's aperture data are incomplete or corrupted
32Object'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.
64Memory overflow occurred during deblending
128Memory overflow occurred during extraction

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 1st epoch K detection from master position (+north/-south) real 4 arcsec -0.9999995e9 POS_EQ_DEC_OFF
k_1Eta [nspid]Source WSA NonSurvey Offset of 1st epoch 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 non-survey programmes) or 1.0 (UKIDSS GPS, DXS and UDS) arcseconds is used, the higher value enabling pairing of moving sources when epoch separations may be several years. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the LAS, you might wish to insist that the offsets in the selected sample are all below 1 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
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 non-survey programmes) or 1.0 (UKIDSS GPS, DXS and UDS) arcseconds is used, the higher value enabling pairing of moving sources when epoch separations may be several years. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the LAS, you might wish to insist that the offsets in the selected sample are all below 1 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
k_1Gausig [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey RMS of axes of ellipse fit in 1st epoch K real 4 pixels -0.9999995e9 MORPH_PARAM
k_1Gausig [nspid]Source WSA NonSurvey RMS of axes of ellipse fit in K_1 real 4 pixels -0.9999995e9 MORPH_PARAM
k_1HallMag [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Total point source 1st epoch K mag real 4 mag -0.9999995e9 PHOT_MAG
k_1HallMag [nspid]Source WSA NonSurvey Total point source K_1 mag real 4 mag -0.9999995e9 PHOT_MAG
k_1HallMagErr [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Error in total point source 1st epoch K mag real 4 mag -0.9999995e9 ERROR
k_1HallMagErr [nspid]Source WSA NonSurvey Error in total point source K_1 mag real 4 mag -0.9999995e9 ERROR
k_1Mag [nspid]SourceRemeasurement WSA NonSurvey 1st epoch K mag (as appropriate for this merged source) real 4 mag -0.9999995e9 PHOT_MAG
k_1MagErr [nspid]SourceRemeasurement WSA NonSurvey Error in 1st epoch K mag real 4 mag -0.9999995e9 ERROR
k_1mfID [nspid]JHKmergeLog, [nspid]MergeLog, [nspid]ZYJHKmergeLog WSA NonSurvey the UID of the relevant 1st epoch K multiframe bigint 8     ID_FRAME
k_1mfID [nspid]MergeLog 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_1-H2_1 (using aperMag3) real 4 mag -0.9999995e9 PHOT_COLOR
Default colours from pairs of adjacent passbands within a given set (e.g. Y-J, J-H and H-K for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the point-source colours and extended source colours are computed from the aperture corrected AperMag3 fixed 2 arcsec aperture diameter measures (for consistent measurement across all passbands) and generally good signal-to-noise. At some point in the future, this may be changed such that point-source colours will be computed from the PSF-fitted measures and extended source colours computed from the 2-d Sersic model profile fits.
k_1mh2_1ExtErr [nspid]Source WSA NonSurvey Error on extended source colour K_1-H2_1 real 4 mag -0.9999995e9 ERROR
Default colours from pairs of adjacent passbands within a given set (e.g. Y-J, J-H and H-K for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the point-source colours and extended source colours are computed from the aperture corrected AperMag3 fixed 2 arcsec aperture diameter measures (for consistent measurement across all passbands) and generally good signal-to-noise. At some point in the future, this may be changed such that point-source colours will be computed from the PSF-fitted measures and extended source colours computed from the 2-d Sersic model profile fits.
k_1mh2_1Pnt [nspid]Source WSA NonSurvey Point source colour K_1-H2_1 (using aperMag3) real 4 mag -0.9999995e9 PHOT_COLOR
Default colours from pairs of adjacent passbands within a given set (e.g. Y-J, J-H and H-K for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the point-source colours and extended source colours are computed from the aperture corrected AperMag3 fixed 2 arcsec aperture diameter measures (for consistent measurement across all passbands) and generally good signal-to-noise. At some point in the future, this may be changed such that point-source colours will be computed from the PSF-fitted measures and extended source colours computed from the 2-d Sersic model profile fits.
k_1mh2_1PntErr [nspid]Source WSA NonSurvey Error on point source colour K_1-H2_1 real 4 mag -0.9999995e9 ERROR
Default colours from pairs of adjacent passbands within a given set (e.g. Y-J, J-H and H-K for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the point-source colours and extended source colours are computed from the aperture corrected AperMag3 fixed 2 arcsec aperture diameter measures (for consistent measurement across all passbands) and generally good signal-to-noise. At some point in the future, this may be changed such that point-source colours will be computed from the PSF-fitted measures and extended source colours computed from the 2-d Sersic model profile fits.
k_1ObjID [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource WSA NonSurvey DEPRECATED (do not use) bigint 8   -99999999 ID_NUMBER
k_1ObjID [nspid]Source, [nspid]SourceRemeasurement WSA NonSurvey DEPRECATED (do not use) bigint 8   -99999999 ID_NUMBER
This attribute is included in source tables for historical reasons, but it's use is not recommended unless you really know what you are doing. In general, if you need to look up detection table attributes for a source in a given passband that are not in the source table, you should make an SQL join between source, mergelog and detection using the primary key attribute frameSetID and combination multiframeID, extNum, seqNum to associate related rows between the three tables. See the Q&A example SQL for more information.
k_1PA [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey ellipse fit celestial orientation in 1st epoch K real 4 Degrees -0.9999995e9 POS_POS-ANG
k_1PA [nspid]Source WSA NonSurvey ellipse fit celestial orientation in K_1 real 4 Degrees -0.9999995e9 POS_POS-ANG
k_1PetroMag [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Extended source 1st epoch K mag (Petrosian) real 4 mag -0.9999995e9 PHOT_MAG
k_1PetroMag [nspid]Source WSA NonSurvey Extended source K_1 mag (Petrosian) real 4 mag -0.9999995e9 PHOT_MAG
k_1PetroMagErr [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Error in extended source 1st epoch K mag (Petrosian) real 4 mag -0.9999995e9 ERROR
k_1PetroMagErr [nspid]Source 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]Source, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey additional WFAU post-processing error bits in 1st epoch K int 4   0 CODE_MISC
k_1ppErrBits [nspid]Source WSA NonSurvey additional WFAU post-processing error bits in 1st epoch K int 4   0 CODE_MISC
Post-processing error quality bit flags assigned (NB: from UKIDSS DR2 release onwards) in the WSA curation procedure for survey data. From least to most significant byte in the 4-byte integer attribute byte 0 (bits 0 to 7) corresponds to information on generally innocuous conditions that are nonetheless potentially significant as regards the integrity of that detection; byte 1 (bits 8 to 15) corresponds to warnings; byte 2 (bits 16 to 23) corresponds to important warnings; and finally byte 3 (bits 24 to 31) corresponds to severe warnings:
ByteBitDetection quality issue Threshold or bit mask Applies to
DecimalHexadecimal
0 4 Deblended 16 0x00000010 All VDFS catalogues
0 6 Bad pixel(s) in default aperture 64 0x00000040 All VDFS catalogues
1 15 Source in poor flat field region 32768 0x00008000 All but mosaics
2 16 Close to saturated 65536 0x00010000 All VDFS catalogues (though deeps excluded prior to DR8)
2 17 Photometric calibration probably subject to systematic error 131072 0x00020000 GPS only
2 19 Possible crosstalk artefact/contamination 524288 0x00080000 All but GPS
2 22 Lies within a dither offset of the stacked frame boundary 4194304 0x00400000 All but mosaics

In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all K band sources in the LAS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information.
k_1ppErrBits [nspid]Source WSA NonSurvey additional WFAU post-processing error bits in K_1 int 4   0 CODE_MISC
Post-processing error quality bit flags assigned (NB: from UKIDSS DR2 release onwards) in the WSA curation procedure for survey data. From least to most significant byte in the 4-byte integer attribute byte 0 (bits 0 to 7) corresponds to information on generally innocuous conditions that are nonetheless potentially significant as regards the integrity of that detection; byte 1 (bits 8 to 15) corresponds to warnings; byte 2 (bits 16 to 23) corresponds to important warnings; and finally byte 3 (bits 24 to 31) corresponds to severe warnings:
ByteBitDetection quality issue Threshold or bit mask Applies to
DecimalHexadecimal
0 4 Deblended 16 0x00000010 All VDFS catalogues
0 6 Bad pixel(s) in default aperture 64 0x00000040 All VDFS catalogues
1 15 Source in poor flat field region 32768 0x00008000 All but mosaics
2 16 Close to saturated 65536 0x00010000 All VDFS catalogues (though deeps excluded prior to DR8)
2 17 Photometric calibration probably subject to systematic error 131072 0x00020000 GPS only
2 19 Possible crosstalk artefact/contamination 524288 0x00080000 All but GPS
2 22 Lies within a dither offset of the stacked frame boundary 4194304 0x00400000 All but mosaics

In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all K band sources in the LAS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information.
k_1PsfMag [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Point source profile-fitted 1st epoch K mag real 4 mag -0.9999995e9 PHOT_MAG
k_1PsfMag [nspid]Source WSA NonSurvey Point source profile-fitted K_1 mag real 4 mag -0.9999995e9 PHOT_MAG
k_1PsfMagErr [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Error in point source profile-fitted 1st epoch K mag real 4 mag -0.9999995e9 ERROR
k_1PsfMagErr [nspid]Source WSA NonSurvey Error in point source profile-fitted 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 1st epoch K detection int 4   -99999999 ID_NUMBER
k_1SeqNum [nspid]Source WSA NonSurvey the running number of the K_1 detection int 4   -99999999 ID_NUMBER
k_1SeqNum [nspid]SourceRemeasurement WSA NonSurvey the running number of the 1st epoch K remeasurement int 4   -99999999 ID_NUMBER
k_1SerMag2D [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Extended source 1st epoch K mag (profile-fitted) real 4 mag -0.9999995e9 PHOT_MAG
k_1SerMag2D [nspid]Source WSA NonSurvey Extended source K_1 mag (profile-fitted) real 4 mag -0.9999995e9 PHOT_MAG
k_1SerMag2DErr [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Error in extended source 1st epoch K mag (profile-fitted) real 4 mag -0.9999995e9 ERROR
k_1SerMag2DErr [nspid]Source WSA NonSurvey Error in extended source K_1 mag (profile-fitted) real 4 mag -0.9999995e9 ERROR
k_1Xi [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource WSA NonSurvey Offset of 1st epoch K detection from master position (+east/-west) real 4 arcsec -0.9999995e9 POS_EQ_RA_OFF
k_1Xi [nspid]Source WSA NonSurvey Offset of 1st epoch 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 non-survey programmes) or 1.0 (UKIDSS GPS, DXS and UDS) arcseconds is used, the higher value enabling pairing of moving sources when epoch separations may be several years. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the LAS, you might wish to insist that the offsets in the selected sample are all below 1 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
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 non-survey programmes) or 1.0 (UKIDSS GPS, DXS and UDS) arcseconds is used, the higher value enabling pairing of moving sources when epoch separations may be several years. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the LAS, you might wish to insist that the offsets in the selected sample are all below 1 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
k_2AperMag1 [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source WSA NonSurvey Extended source 2nd epoch K aperture corrected mag (1.0 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
k_2AperMag1Err [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source WSA NonSurvey Error in extended source 2nd epoch K 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/extended source 2nd epoch K aperture corrected mag (2.0 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
k_2AperMag3 [nspid]Source WSA NonSurvey Default point/extended source 2nd epoch K aperture corrected mag (2.0 arcsec aperture diameter)
If in doubt use this flux estimator
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/extended source 2nd epoch K mag (2.0 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
k_2AperMag3Err [nspid]Source 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 Extended source 2nd epoch K aperture corrected mag (2.8 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
k_2AperMag4 [nspid]Source 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 extended source 2nd epoch K mag (2.8 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
k_2AperMag4Err [nspid]Source 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 Extended source 2nd epoch K aperture corrected mag (5.7 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
k_2AperMag6 [nspid]Source 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 extended source 2nd epoch K mag (5.7 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
k_2AperMag6Err [nspid]Source 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]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey discrete image classification flag in 2nd epoch K smallint 2   -9999 CLASS_MISC
k_2Class [nspid]Source WSA NonSurvey discrete image classification flag in K_2 smallint 2   -9999 CLASS_MISC
k_2ClassStat [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey N(0,1) stellarness-of-profile statistic in 2nd epoch K real 4   -0.9999995e9 STAT_PROP
k_2ClassStat [nspid]GpsPointSource, [nspid]JHKsource WSA NonSurvey S-Extractor classification statistic in 2nd epoch K real 4   -0.9999995e9 STAT_PROP
k_2ClassStat [nspid]Source WSA NonSurvey N(0,1) stellarness-of-profile statistic in K_2 real 4   -0.9999995e9 STAT_PROP
k_2Deblend [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey placeholder flag indicating parent/child relation in 2nd epoch K int 4   -99999999 CODE_MISC
k_2Deblend [nspid]Source WSA NonSurvey placeholder flag indicating parent/child relation in 2nd epoch 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 post-processing software based on testing the areal profiles aprof2-8 (these are set by CASU to -1 for deblended components, or positive values for non-deblended detections). We encode this in an information bit of ppErrBits for convenience when querying the merged source tables.
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 post-processing software based on testing the areal profiles aprof2-8 (these are set by CASU to -1 for deblended components, or positive values for non-deblended detections). We encode this in an information bit of ppErrBits for convenience when querying the merged source tables.
k_2Ell [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey 1-b/a, where a/b=semi-major/minor axes in 2nd epoch K real 4   -0.9999995e9 PHYS_ELLIPTICITY
k_2Ell [nspid]Source WSA NonSurvey 1-b/a, where a/b=semi-major/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 2nd epoch K frame tinyint 1     NUMBER
k_2eNum [nspid]MergeLog WSA NonSurvey the extension number of this K_2 frame tinyint 1     NUMBER
k_2ErrBits [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey processing warning/error bitwise flags in 2nd epoch K int 4   -99999999 CODE_MISC
k_2ErrBits [nspid]Source WSA NonSurvey processing warning/error bitwise flags in 2nd epoch 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.
k_2ErrBits [nspid]Source WSA NonSurvey processing warning/error bitwise flags in 2nd epoch 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 FlagMeaning
1The object has neighbours, bright enough and close enough to significantly bias the MAG_AUTO photometry or bad pixels (more than 10% of photometry affected).
2The object was originally blended with another
4At least one pixel is saturated (or very close to)
8The object is truncated (too close to an image boundary)
16Object's aperture data are incomplete or corrupted
32Object'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.
64Memory overflow occurred during deblending
128Memory overflow occurred during extraction

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 2nd epoch K detection from master position (+north/-south) real 4 arcsec -0.9999995e9 POS_EQ_DEC_OFF
k_2Eta [nspid]Source WSA NonSurvey Offset of 2nd epoch 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 non-survey programmes) or 1.0 (UKIDSS GPS, DXS and UDS) arcseconds is used, the higher value enabling pairing of moving sources when epoch separations may be several years. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the LAS, you might wish to insist that the offsets in the selected sample are all below 1 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
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 non-survey programmes) or 1.0 (UKIDSS GPS, DXS and UDS) arcseconds is used, the higher value enabling pairing of moving sources when epoch separations may be several years. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the LAS, you might wish to insist that the offsets in the selected sample are all below 1 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
k_2Gausig [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey RMS of axes of ellipse fit in 2nd epoch K real 4 pixels -0.9999995e9 MORPH_PARAM
k_2Gausig [nspid]Source WSA NonSurvey RMS of axes of ellipse fit in K_2 real 4 pixels -0.9999995e9 MORPH_PARAM
k_2HallMag [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Total point source 2nd epoch K mag real 4 mag -0.9999995e9 PHOT_MAG
k_2HallMag [nspid]Source WSA NonSurvey Total point source K_2 mag real 4 mag -0.9999995e9 PHOT_MAG
k_2HallMagErr [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Error in total point source 2nd epoch K mag real 4 mag -0.9999995e9 ERROR
k_2HallMagErr [nspid]Source WSA NonSurvey Error in total point source K_2 mag real 4 mag -0.9999995e9 ERROR
k_2Mag [nspid]SourceRemeasurement WSA NonSurvey 2nd epoch K mag (as appropriate for this merged source) real 4 mag -0.9999995e9 PHOT_MAG
k_2MagErr [nspid]SourceRemeasurement WSA NonSurvey Error in 2nd epoch K mag real 4 mag -0.9999995e9 ERROR
k_2mfID [nspid]JHKmergeLog, [nspid]MergeLog, [nspid]ZYJHKmergeLog WSA NonSurvey the UID of the relevant 2nd epoch K multiframe bigint 8     ID_FRAME
k_2mfID [nspid]MergeLog 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_2-H2_2 (using aperMag3) real 4 mag -0.9999995e9 PHOT_COLOR
Default colours from pairs of adjacent passbands within a given set (e.g. Y-J, J-H and H-K for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the point-source colours and extended source colours are computed from the aperture corrected AperMag3 fixed 2 arcsec aperture diameter measures (for consistent measurement across all passbands) and generally good signal-to-noise. At some point in the future, this may be changed such that point-source colours will be computed from the PSF-fitted measures and extended source colours computed from the 2-d Sersic model profile fits.
k_2mh2_2ExtErr [nspid]Source WSA NonSurvey Error on extended source colour K_2-H2_2 real 4 mag -0.9999995e9 ERROR
Default colours from pairs of adjacent passbands within a given set (e.g. Y-J, J-H and H-K for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the point-source colours and extended source colours are computed from the aperture corrected AperMag3 fixed 2 arcsec aperture diameter measures (for consistent measurement across all passbands) and generally good signal-to-noise. At some point in the future, this may be changed such that point-source colours will be computed from the PSF-fitted measures and extended source colours computed from the 2-d Sersic model profile fits.
k_2mh2_2Pnt [nspid]Source WSA NonSurvey Point source colour K_2-H2_2 (using aperMag3) real 4 mag -0.9999995e9 PHOT_COLOR
Default colours from pairs of adjacent passbands within a given set (e.g. Y-J, J-H and H-K for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the point-source colours and extended source colours are computed from the aperture corrected AperMag3 fixed 2 arcsec aperture diameter measures (for consistent measurement across all passbands) and generally good signal-to-noise. At some point in the future, this may be changed such that point-source colours will be computed from the PSF-fitted measures and extended source colours computed from the 2-d Sersic model profile fits.
k_2mh2_2PntErr [nspid]Source WSA NonSurvey Error on point source colour K_2-H2_2 real 4 mag -0.9999995e9 ERROR
Default colours from pairs of adjacent passbands within a given set (e.g. Y-J, J-H and H-K for YJHK) are recorded in the merged source table for ease of querying and speedy querying via indexing of these attributes. Presently, the point-source colours and extended source colours are computed from the aperture corrected AperMag3 fixed 2 arcsec aperture diameter measures (for consistent measurement across all passbands) and generally good signal-to-noise. At some point in the future, this may be changed such that point-source colours will be computed from the PSF-fitted measures and extended source colours computed from the 2-d Sersic model profile fits.
k_2ObjID [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource WSA NonSurvey DEPRECATED (do not use) bigint 8   -99999999 ID_NUMBER
k_2ObjID [nspid]Source, [nspid]SourceRemeasurement WSA NonSurvey DEPRECATED (do not use) bigint 8   -99999999 ID_NUMBER
This attribute is included in source tables for historical reasons, but it's use is not recommended unless you really know what you are doing. In general, if you need to look up detection table attributes for a source in a given passband that are not in the source table, you should make an SQL join between source, mergelog and detection using the primary key attribute frameSetID and combination multiframeID, extNum, seqNum to associate related rows between the three tables. See the Q&A example SQL for more information.
k_2PA [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey ellipse fit celestial orientation in 2nd epoch K real 4 Degrees -0.9999995e9 POS_POS-ANG
k_2PA [nspid]Source WSA NonSurvey ellipse fit celestial orientation in K_2 real 4 Degrees -0.9999995e9 POS_POS-ANG
k_2PetroMag [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Extended source 2nd epoch K mag (Petrosian) real 4 mag -0.9999995e9 PHOT_MAG
k_2PetroMag [nspid]Source WSA NonSurvey Extended source K_2 mag (Petrosian) real 4 mag -0.9999995e9 PHOT_MAG
k_2PetroMagErr [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Error in extended source 2nd epoch K mag (Petrosian) real 4 mag -0.9999995e9 ERROR
k_2PetroMagErr [nspid]Source 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]Source, [nspid]SourceRemeasurement, [nspid]ZYJHKsource WSA NonSurvey additional WFAU post-processing error bits in 2nd epoch K int 4   0 CODE_MISC
k_2ppErrBits [nspid]Source WSA NonSurvey additional WFAU post-processing error bits in 2nd epoch K int 4   0 CODE_MISC
Post-processing error quality bit flags assigned (NB: from UKIDSS DR2 release onwards) in the WSA curation procedure for survey data. From least to most significant byte in the 4-byte integer attribute byte 0 (bits 0 to 7) corresponds to information on generally innocuous conditions that are nonetheless potentially significant as regards the integrity of that detection; byte 1 (bits 8 to 15) corresponds to warnings; byte 2 (bits 16 to 23) corresponds to important warnings; and finally byte 3 (bits 24 to 31) corresponds to severe warnings:
ByteBitDetection quality issue Threshold or bit mask Applies to
DecimalHexadecimal
0 4 Deblended 16 0x00000010 All VDFS catalogues
0 6 Bad pixel(s) in default aperture 64 0x00000040 All VDFS catalogues
1 15 Source in poor flat field region 32768 0x00008000 All but mosaics
2 16 Close to saturated 65536 0x00010000 All VDFS catalogues (though deeps excluded prior to DR8)
2 17 Photometric calibration probably subject to systematic error 131072 0x00020000 GPS only
2 19 Possible crosstalk artefact/contamination 524288 0x00080000 All but GPS
2 22 Lies within a dither offset of the stacked frame boundary 4194304 0x00400000 All but mosaics

In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all K band sources in the LAS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information.
k_2ppErrBits [nspid]Source WSA NonSurvey additional WFAU post-processing error bits in K_2 int 4   0 CODE_MISC
Post-processing error quality bit flags assigned (NB: from UKIDSS DR2 release onwards) in the WSA curation procedure for survey data. From least to most significant byte in the 4-byte integer attribute byte 0 (bits 0 to 7) corresponds to information on generally innocuous conditions that are nonetheless potentially significant as regards the integrity of that detection; byte 1 (bits 8 to 15) corresponds to warnings; byte 2 (bits 16 to 23) corresponds to important warnings; and finally byte 3 (bits 24 to 31) corresponds to severe warnings:
ByteBitDetection quality issue Threshold or bit mask Applies to
DecimalHexadecimal
0 4 Deblended 16 0x00000010 All VDFS catalogues
0 6 Bad pixel(s) in default aperture 64 0x00000040 All VDFS catalogues
1 15 Source in poor flat field region 32768 0x00008000 All but mosaics
2 16 Close to saturated 65536 0x00010000 All VDFS catalogues (though deeps excluded prior to DR8)
2 17 Photometric calibration probably subject to systematic error 131072 0x00020000 GPS only
2 19 Possible crosstalk artefact/contamination 524288 0x00080000 All but GPS
2 22 Lies within a dither offset of the stacked frame boundary 4194304 0x00400000 All but mosaics

In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all K band sources in the LAS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information.
k_2PsfMag [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Point source profile-fitted 2nd epoch K mag real 4 mag -0.9999995e9 PHOT_MAG
k_2PsfMag [nspid]Source WSA NonSurvey Point source profile-fitted K_2 mag real 4 mag -0.9999995e9 PHOT_MAG
k_2PsfMagErr [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Error in point source profile-fitted 2nd epoch K mag real 4 mag -0.9999995e9 ERROR
k_2PsfMagErr [nspid]Source WSA NonSurvey Error in point source profile-fitted 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 2nd epoch K detection int 4   -99999999 ID_NUMBER
k_2SeqNum [nspid]Source WSA NonSurvey the running number of the K_2 detection int 4   -99999999 ID_NUMBER
k_2SeqNum [nspid]SourceRemeasurement WSA NonSurvey the running number of the 2nd epoch K remeasurement int 4   -99999999 ID_NUMBER
k_2SerMag2D [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Extended source 2nd epoch K mag (profile-fitted) real 4 mag -0.9999995e9 PHOT_MAG
k_2SerMag2D [nspid]Source WSA NonSurvey Extended source K_2 mag (profile-fitted) real 4 mag -0.9999995e9 PHOT_MAG
k_2SerMag2DErr [nspid]GcsPointSource, [nspid]PointSource, [nspid]Source, [nspid]ZYJHKsource WSA NonSurvey Error in extended source 2nd epoch K mag (profile-fitted) real 4 mag -0.9999995e9 ERROR
k_2SerMag2DErr [nspid]Source WSA NonSurvey Error in extended source K_2 mag (profile-fitted) real 4 mag -0.9999995e9 ERROR
k_2Xi [nspid]GcsPointSource, [nspid]GpsPointSource, [nspid]JHKsource, [nspid]PointSource, [nspid]ZYJHKsource WSA NonSurvey Offset of 2nd epoch K detection from master position (+east/-west) real 4 arcsec -0.9999995e9 POS_EQ_RA_OFF
k_2Xi [nspid]Source WSA NonSurvey Offset of 2nd epoch 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 non-survey programmes) or 1.0 (UKIDSS GPS, DXS and UDS) arcseconds is used, the higher value enabling pairing of moving sources when epoch separations may be several years. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the LAS, you might wish to insist that the offsets in the selected sample are all below 1 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
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 non-survey programmes) or 1.0 (UKIDSS GPS, DXS and UDS) arcseconds is used, the higher value enabling pairing of moving sources when epoch separations may be several years. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the LAS, you might wish to insist that the offsets in the selected sample are all below 1 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
kAperMag1 [nspid]SynopticSource WSA NonSurvey Extended source K aperture corrected mag (0.7 arcsec aperture diameter) 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]SynopticSource WSA NonSurvey Error in extended source K mag (0.7 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]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]SynopticSource, [nspid]YJHKsource WSA NonSurvey Default point/extended 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 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/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 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]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]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource WSA NonSurvey Error in default point/extended source K mag (2.0 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
kAperMag3Err [nspid]Source WSA NonSurvey Error in default point source K mag (2.0 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
kAperMag4 [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]YJHKsource WSA NonSurvey Extended source K aperture corrected mag (2.8 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
kAperMag4 [nspid]Source WSA NonSurvey Point 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]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource WSA NonSurvey Error in extended source K mag (2.8 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
kAperMag4Err [nspid]Source WSA NonSurvey Error in point 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]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource WSA NonSurvey Extended source K aperture corrected mag (5.7 arcsec aperture diameter) real 4 mag -0.9999995e9 PHOT_MAG
kAperMag6 [nspid]Source WSA NonSurvey Point 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]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]UdsSource, [nspid]YJHKsource WSA NonSurvey Error in extended source K mag (5.7 arcsec aperture diameter) real 4 mag -0.9999995e9 ERROR
kAperMag6Err [nspid]Source WSA NonSurvey Error in point 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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
kaStratAst [nspid]VarFrameSetInfo WSA NonSurvey Parameter, c0 from Ferreira-Lopes & 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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
kaStratPht [nspid]VarFrameSetInfo WSA NonSurvey Parameter, c0 from Ferreira-Lopes & 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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
kbestAper [nspid]Variability WSA NonSurvey Best aperture (1-6) for photometric statistics in the K band int 4   -9999  
Aperture magnitude (1-6) which gives the lowest RMS for the object. All apertures have the appropriate aperture correction. This can give better values in crowded regions than aperMag3 (see Irwin et al. 2007, MNRAS, 375, 1449)
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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
kbStratAst [nspid]VarFrameSetInfo WSA NonSurvey Parameter, c1 from Ferreira-Lopes & 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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
kbStratPht [nspid]VarFrameSetInfo WSA NonSurvey Parameter, c1 from Ferreira-Lopes & 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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
kchiSqpd [nspid]Variability WSA NonSurvey Chi square (per degree of freedom) fit to data (mean and expected rms) real 4   -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
kClass [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource WSA NonSurvey discrete image classification flag in K smallint 2   -9999 CLASS_MISC
kClassStat [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]SynopticSource, [nspid]YJHKsource WSA NonSurvey N(0,1) stellarness-of-profile statistic in K real 4   -0.9999995e9 STAT_PROP
kClassStat [nspid]Source, [nspid]UdsSource WSA NonSurvey S-Extractor 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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
kcStratAst [nspid]VarFrameSetInfo WSA NonSurvey Parameter, c2 from Ferreira-Lopes & 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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
kcStratPht [nspid]VarFrameSetInfo WSA NonSurvey Parameter, c2 from Ferreira-Lopes & 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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
kDeblend [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource 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 post-processing software based on testing the areal profiles aprof2-8 (these are set by CASU to -1 for deblended components, or positive values for non-deblended detections). We encode this in an information bit of ppErrBits for convenience when querying the merged source tables.
kdStratAst [nspid]VarFrameSetInfo WSA NonSurvey Parameter, c3 from Ferreira-Lopes & 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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
kdStratPht [nspid]VarFrameSetInfo WSA NonSurvey Parameter, c0 from Ferreira-Lopes & 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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
kEll [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource WSA NonSurvey 1-b/a, where a/b=semi-major/minor axes in K real 4   -0.9999995e9 PHYS_ELLIPTICITY
keNum [nspid]JKmergeLog, [nspid]MergeLog, [nspid]SynopticMergeLog, [nspid]YJHKmergeLog WSA NonSurvey the extension number of this K frame tinyint 1     NUMBER
kErrBits [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]SourceRemeasurement, [nspid]UdsSource, [nspid]YJHKsource 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 FlagMeaning
1The object has neighbours, bright enough and close enough to significantly bias the MAG_AUTO photometry or bad pixels (more than 10% of photometry affected).
2The object was originally blended with another
4At least one pixel is saturated (or very close to)
8The object is truncated (too close to an image boundary)
16Object's aperture data are incomplete or corrupted
32Object'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.
64Memory overflow occurred during deblending
128Memory 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]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]UdsSource, [nspid]YJHKsource 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 non-survey programmes) or 1.0 (UKIDSS GPS, DXS and UDS) arcseconds is used, the higher value enabling pairing of moving sources when epoch separations may be several years. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the LAS, you might wish to insist that the offsets in the selected sample are all below 1 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.
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]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 chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
kGausig [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource WSA NonSurvey RMS of axes of ellipse fit in K real 4 pixels -0.9999995e9 MORPH_PARAM
kHallMag [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource 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]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource 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]Variability WSA NonSurvey Intrinsic rms 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 chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
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]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_INT-MAG
kMag [nspid]SourceRemeasurement WSA NonSurvey K mag (as appropriate for this merged source) real 4 mag -0.9999995e9 PHOT_MAG
kMagErr [nspid]FSstars WSA NonSurvey K band magnitude error real 4 mag   ERROR
kMagErr [nspid]SourceRemeasurement WSA NonSurvey Error in K mag real 4 mag -0.9999995e9 ERROR
kMagMAD [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 chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
kMagRms [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 chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
kmaxCadence [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]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 chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
kmeanMag [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 chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
kmedCadence [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]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 chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
kmfID [nspid]JKmergeLog, [nspid]MergeLog, [nspid]SynopticMergeLog, [nspid]YJHKmergeLog WSA NonSurvey the UID of the relevant K multiframe bigint 8     ID_FRAME
kminCadence [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]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 chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
kndof [nspid]Variability WSA NonSurvey Number of degrees of freedom for chisquare smallint 2   -9999  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated.
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 median-absolute deviation) was calculated. The Strateva function $\zeta(m)>=a+b\,10^{0.4m}+c\,10^{0.8m}$ was fit, where $\zeta(m)$ is the expected RMS as a function of magnitude. The chi-squared and number of degrees of freedom are also calculated. This technique was used in Sesar et al. 2007, AJ, 134, 2236.
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 u06ah13Detection.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 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 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 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]Variability WSA NonSurvey Number of good detections in K-band that are more than 3 sigma deviations smallint 2   -9999  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
kNgt3sig [nspid]Variability WSA NonSurvey Number of good detections in K-band that are more than 3 sigma deviations (kAperMagN < (kMeanMag-3*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 chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
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.
kObjID [nspid]ExtendedSource, [nspid]LasPointSource, [nspid]PointSource, [nspid]YJHKsource WSA NonSurvey DEPRECATED (do not use) bigint 8   -99999999 ID_NUMBER
kObjID [nspid]Source, [nspid]SourceRemeasurement WSA NonSurvey DEPRECATED (do not use) bigint 8   -99999999 ID_NUMBER
This attribute is included in source tables for historical reasons, but it's use is not recommended unless you really know what you are doing. In general, if you need to look up detection table attributes for a source in a given passband that are not in the source table, you should make an SQL join between source, mergelog and detection using the primary key attribute frameSetID and combination multiframeID, extNum, seqNum to associate related rows between the three tables. See the Q&A example SQL for more information.
kPA [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource WSA NonSurvey ellipse fit celestial orientation in K real 4 Degrees -0.9999995e9 POS_POS-ANG
kPetroMag [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]UdsSource, [nspid]YJHKsource WSA NonSurvey Extended source K mag (Petrosian) real 4 mag -0.9999995e9 PHOT_MAG
kPetroMagErr [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]UdsSource, [nspid]YJHKsource WSA NonSurvey Error in extended source K mag (Petrosian) real 4 mag -0.9999995e9 ERROR
kppErrBits [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SourceRemeasurement, [nspid]UdsSource, [nspid]YJHKsource WSA NonSurvey additional WFAU post-processing error bits in K int 4   0 CODE_MISC
kppErrBits [nspid]Source, [nspid]SynopticSource WSA NonSurvey additional WFAU post-processing error bits in K int 4   0 CODE_MISC
Post-processing error quality bit flags assigned (NB: from UKIDSS DR2 release onwards) in the WSA curation procedure for survey data. From least to most significant byte in the 4-byte integer attribute byte 0 (bits 0 to 7) corresponds to information on generally innocuous conditions that are nonetheless potentially significant as regards the integrity of that detection; byte 1 (bits 8 to 15) corresponds to warnings; byte 2 (bits 16 to 23) corresponds to important warnings; and finally byte 3 (bits 24 to 31) corresponds to severe warnings:
ByteBitDetection quality issue Threshold or bit mask Applies to
DecimalHexadecimal
0 4 Deblended 16 0x00000010 All VDFS catalogues
0 6 Bad pixel(s) in default aperture 64 0x00000040 All VDFS catalogues
1 15 Source in poor flat field region 32768 0x00008000 All but mosaics
2 16 Close to saturated 65536 0x00010000 All VDFS catalogues (though deeps excluded prior to DR8)
2 17 Photometric calibration probably subject to systematic error 131072 0x00020000 GPS only
2 19 Possible crosstalk artefact/contamination 524288 0x00080000 All but GPS
2 22 Lies within a dither offset of the stacked frame boundary 4194304 0x00400000 All but mosaics

In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all K band sources in the LAS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information.
kprobVar [nspid]Variability WSA NonSurvey Probability of variable from chi-square (and other data) real 4   -0.9999995e9  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
kPsfMag [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource WSA NonSurvey Point source profile-fitted 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]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource WSA NonSurvey Error in point source profile-fitted 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, [nspid]ListRemeasurement 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]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, [nspid]ListRemeasurement WSA NonSurvey error on Kron flux {catalogue TType keyword: Kron_flux_err} real 4 ADU   ERROR
kronFluxErr [nspid]UKIDSSDetection WSA NonSurvey error on Kron flux real 4 ADU   ERROR
kronMag [nspid]Detection, [nspid]ListRemeasurement, [nspid]UKIDSSDetection WSA NonSurvey Calibrated Kron magnitude within circular aperture r_k real 4 mag   PHOT_INT-MAG
kronMagErr [nspid]Detection, [nspid]ListRemeasurement, [nspid]UKIDSSDetection WSA NonSurvey error on calibrated Kron magnitude real 4 mag   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, [nspid]ListRemeasurement 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]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]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]SynopticSource, [nspid]UdsSource, [nspid]YJHKsource WSA NonSurvey the running number of the K detection int 4   -99999999 ID_NUMBER
kSeqNum [nspid]SourceRemeasurement WSA NonSurvey the running number of the K remeasurement int 4   -99999999 ID_NUMBER
kSerMag2D [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource WSA NonSurvey Extended source K mag (profile-fitted) 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]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]Source, [nspid]YJHKsource WSA NonSurvey Error in extended source K mag (profile-fitted) 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]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 chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
ktotalPeriod [nspid]Variability WSA NonSurvey total period of observations (last obs-first obs) real 4 days -0.9999995e9  
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable.
kVarClass [nspid]Variability WSA NonSurvey Classification of variability in this band smallint 2   -9999  
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3.
kXi [nspid]DxsSource, [nspid]ExtendedSource, [nspid]JKsource, [nspid]LasPointSource, [nspid]PointSource, [nspid]UdsSource, [nspid]YJHKsource 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 non-survey programmes) or 1.0 (UKIDSS GPS, DXS and UDS) arcseconds is used, the higher value enabling pairing of moving sources when epoch separations may be several years. Such a large association criterion can of course lead to spurious pairings in the merged sources lists (although note that between passband pairs, handshake pairing is done: both passbands must agree that the candidate pair is their nearest neighbour for the pair to propagate through into the merged source table). In order to help filter spurious pairings out, and assuming that large positional offsets between the different passband detections are not expected (e.g. because of source motion, or larger than usual positional uncertainties) then the attributes Xi and Eta can be used to filter any pairings with suspiciously large offsets in one or more bands. For example, for a clean sample of QSOs from the LAS, you might wish to insist that the offsets in the selected sample are all below 1 arcsecond: simply add WHERE clauses into the SQL sample selection script to exclude all Xi and Eta values larger than the threshold you want. NB: the master position is the position of the detection in the shortest passband in the set, rather than the ra/dec of the source as stored in source attributes of the same name. The former is used in the pairing process, while the latter is generally the optimally weighted mean position from an astrometric solution or other combinatorial process of all individual detection positions across the available passbands.



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30/05/2018