K |
Name | Schema Table | Database | Description | Type | Length | Unit | Default Value | Unified Content Descriptor |
k1 |
catwise_2020, catwise_prelim |
WISE |
W1 photometry usage code (0: neither the ascending nor the descending scan provided a solution; 1: only the ascending scan provided a solution; 2: only the descending scan provided a solution; 3: both scans provided solutions which were combined in the relevant way) |
int |
4 |
|
|
|
k2 |
catwise_2020, catwise_prelim |
WISE |
W2 photometry usage code (0: neither the ascending nor the descending scan provided a solution; 1: only the ascending scan provided a solution; 2: only the descending scan provided a solution; 3: both scans provided solutions which were combined in the relevant way) |
int |
4 |
|
|
|
k_1AperMag1 |
gpsJHKsource, gpsPointSource, reliableGpsPointSource |
WSA |
Default point source K_1 aperture corrected mag (1.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_1AperMag1 |
gpsSource |
WSA |
Default point source K_1 aperture corrected mag (1.0 arcsec aperture diameter) If in doubt use this flux estimator |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_1AperMag1Err |
gpsJHKsource, gpsPointSource, gpsSource, reliableGpsPointSource |
WSA |
Error in point source K_1 mag (1.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_1AperMag3 |
gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Default point source K_1 aperture corrected mag (2.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_1AperMag3 |
gcsSource, gpsSource |
WSA |
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 |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Error in default point source K_1 mag (2.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_1AperMag4 |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Point source K_1 aperture corrected mag (2.8 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_1AperMag4Err |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Error in point source K_1 mag (2.8 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_1AperMag6 |
gcsPointSource, gcsSource, gcsZYJHKsource, reliableGcsPointSource |
WSA |
Point source K_1 aperture corrected mag (5.7 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_1AperMag6Err |
gcsPointSource, gcsSource, gcsZYJHKsource, reliableGcsPointSource |
WSA |
Error in point source K_1 mag (5.7 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_1Class |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
discrete image classification flag in K_1 |
smallint |
2 |
|
-9999 |
CLASS_MISC |
k_1ClassStat |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
N(0,1) stellarness-of-profile statistic in K_1 |
real |
4 |
|
-0.9999995e9 |
STAT_PROP |
k_1Deblend |
gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
placeholder flag indicating parent/child relation in K_1 |
int |
4 |
|
-99999999 |
CODE_MISC |
k_1Deblend |
gcsSource, gpsSource |
WSA |
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 |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
1-b/a, where a/b=semi-major/minor axes in K_1 |
real |
4 |
|
-0.9999995e9 |
PHYS_ELLIPTICITY |
k_1eNum |
gcsMergeLog, gcsZYJHKmergeLog, gpsJHKmergeLog, gpsMergeLog |
WSA |
the extension number of this K_1 frame |
tinyint |
1 |
|
|
NUMBER |
k_1ErrBits |
gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
processing warning/error bitwise flags in K_1 |
int |
4 |
|
-99999999 |
CODE_MISC |
k_1ErrBits |
gcsSource, gpsSource |
WSA |
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 |
gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Offset of K_1 detection from master position (+north/-south) |
real |
4 |
arcsec |
-0.9999995e9 |
POS_EQ_DEC_OFF |
k_1Eta |
gcsSource, gpsSource |
WSA |
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 |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
RMS of axes of ellipse fit in K_1 |
real |
4 |
pixels |
-0.9999995e9 |
MORPH_PARAM |
k_1HallMag |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Total point source K_1 mag |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_1HallMagErr |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Error in total point source K_1 mag |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_1mfID |
gcsMergeLog, gcsZYJHKmergeLog, gpsJHKmergeLog, gpsMergeLog |
WSA |
the UID of the relevant K_1 multiframe |
bigint |
8 |
|
|
ID_FRAME |
k_1PA |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
ellipse fit celestial orientation in K_1 |
real |
4 |
Degrees |
-0.9999995e9 |
POS_POS-ANG |
k_1PetroMag |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Extended source K_1 mag (Petrosian) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_1PetroMagErr |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Error in extended source K_1 mag (Petrosian) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_1ppErrBits |
gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
additional WFAU post-processing error bits in K_1 |
int |
4 |
|
0 |
CODE_MISC |
k_1ppErrBits |
gcsSource, gpsSource |
WSA |
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: Byte | Bit | Detection quality issue | Threshold or bit mask | Applies to | | | | Decimal | Hexadecimal | | 0 | 4 | Deblended | 16 | 0x00000010 | All VDFS catalogues | 0 | 6 | Bad pixel(s) in default aperture | 64 | 0x00000040 | All VDFS catalogues | 1 | 15 | Source in poor flat field region | 32768 | 0x00008000 | All but mosaics | 2 | 16 | Close to saturated | 65536 | 0x00010000 | All VDFS catalogues (though deeps excluded prior to DR8) | 2 | 17 | Photometric calibration probably subject to systematic error | 131072 | 0x00020000 | GPS only | 2 | 19 | Possible crosstalk artefact/contamination | 524288 | 0x00080000 | All but GPS | 2 | 22 | Lies within a dither offset of the stacked frame boundary | 4194304 | 0x00400000 | All but mosaics | In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all K band sources in the LAS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information. |
k_1PsfMag |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Point source profile-fitted K_1 mag |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_1PsfMagErr |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Error in point source profile-fitted K_1 mag |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_1SeqNum |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
the running number of the K_1 detection |
int |
4 |
|
-99999999 |
ID_NUMBER |
k_1SerMag2D |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Extended source K_1 mag (profile-fitted) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_1SerMag2DErr |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Error in extended source K_1 mag (profile-fitted) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_1Xi |
gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Offset of K_1 detection from master position (+east/-west) |
real |
4 |
arcsec |
-0.9999995e9 |
POS_EQ_RA_OFF |
k_1Xi |
gcsSource, gpsSource |
WSA |
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 |
gpsJHKsource, gpsPointSource, reliableGpsPointSource |
WSA |
Default point source K_2 aperture corrected mag (1.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_2AperMag1 |
gpsSource |
WSA |
Default point source K_2 aperture corrected mag (1.0 arcsec aperture diameter) If in doubt use this flux estimator |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_2AperMag1Err |
gpsJHKsource, gpsPointSource, gpsSource, reliableGpsPointSource |
WSA |
Error in point source K_2 mag (1.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_2AperMag3 |
gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Default point source K_2 aperture corrected mag (2.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_2AperMag3 |
gcsSource, gpsSource |
WSA |
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 |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Error in default point source K_2 mag (2.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_2AperMag4 |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Point source K_2 aperture corrected mag (2.8 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_2AperMag4Err |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Error in point source K_2 mag (2.8 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_2AperMag6 |
gcsPointSource, gcsSource, gcsZYJHKsource, reliableGcsPointSource |
WSA |
Point source K_2 aperture corrected mag (5.7 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_2AperMag6Err |
gcsPointSource, gcsSource, gcsZYJHKsource, reliableGcsPointSource |
WSA |
Error in point source K_2 mag (5.7 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_2Class |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
discrete image classification flag in K_2 |
smallint |
2 |
|
-9999 |
CLASS_MISC |
k_2ClassStat |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
N(0,1) stellarness-of-profile statistic in K_2 |
real |
4 |
|
-0.9999995e9 |
STAT_PROP |
k_2Deblend |
gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
placeholder flag indicating parent/child relation in K_2 |
int |
4 |
|
-99999999 |
CODE_MISC |
k_2Deblend |
gcsSource, gpsSource |
WSA |
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 |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
1-b/a, where a/b=semi-major/minor axes in K_2 |
real |
4 |
|
-0.9999995e9 |
PHYS_ELLIPTICITY |
k_2eNum |
gcsMergeLog, gcsZYJHKmergeLog, gpsJHKmergeLog, gpsMergeLog |
WSA |
the extension number of this K_2 frame |
tinyint |
1 |
|
|
NUMBER |
k_2ErrBits |
gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
processing warning/error bitwise flags in K_2 |
int |
4 |
|
-99999999 |
CODE_MISC |
k_2ErrBits |
gcsSource, gpsSource |
WSA |
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 |
gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Offset of K_2 detection from master position (+north/-south) |
real |
4 |
arcsec |
-0.9999995e9 |
POS_EQ_DEC_OFF |
k_2Eta |
gcsSource, gpsSource |
WSA |
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 |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
RMS of axes of ellipse fit in K_2 |
real |
4 |
pixels |
-0.9999995e9 |
MORPH_PARAM |
k_2HallMag |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Total point source K_2 mag |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_2HallMagErr |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Error in total point source K_2 mag |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_2mfID |
gcsMergeLog, gcsZYJHKmergeLog, gpsJHKmergeLog, gpsMergeLog |
WSA |
the UID of the relevant K_2 multiframe |
bigint |
8 |
|
|
ID_FRAME |
k_2mrat |
twomass_scn |
2MASS |
Ks-band average 2nd image moment ratio. |
real |
4 |
|
|
FIT_PARAM_VALUE |
k_2mrat |
twomass_sixx2_scn |
2MASS |
K band average 2nd image moment ratio for scan |
real |
4 |
|
|
|
k_2PA |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
ellipse fit celestial orientation in K_2 |
real |
4 |
Degrees |
-0.9999995e9 |
POS_POS-ANG |
k_2PetroMag |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Extended source K_2 mag (Petrosian) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_2PetroMagErr |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Error in extended source K_2 mag (Petrosian) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_2ppErrBits |
gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
additional WFAU post-processing error bits in K_2 |
int |
4 |
|
0 |
CODE_MISC |
k_2ppErrBits |
gcsSource, gpsSource |
WSA |
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: Byte | Bit | Detection quality issue | Threshold or bit mask | Applies to | | | | Decimal | Hexadecimal | | 0 | 4 | Deblended | 16 | 0x00000010 | All VDFS catalogues | 0 | 6 | Bad pixel(s) in default aperture | 64 | 0x00000040 | All VDFS catalogues | 1 | 15 | Source in poor flat field region | 32768 | 0x00008000 | All but mosaics | 2 | 16 | Close to saturated | 65536 | 0x00010000 | All VDFS catalogues (though deeps excluded prior to DR8) | 2 | 17 | Photometric calibration probably subject to systematic error | 131072 | 0x00020000 | GPS only | 2 | 19 | Possible crosstalk artefact/contamination | 524288 | 0x00080000 | All but GPS | 2 | 22 | Lies within a dither offset of the stacked frame boundary | 4194304 | 0x00400000 | All but mosaics | In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all K band sources in the LAS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information. |
k_2PsfMag |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Point source profile-fitted K_2 mag |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_2PsfMagErr |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Error in point source profile-fitted K_2 mag |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_2SeqNum |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
the running number of the K_2 detection |
int |
4 |
|
-99999999 |
ID_NUMBER |
k_2SerMag2D |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Extended source K_2 mag (profile-fitted) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
k_2SerMag2DErr |
gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Error in extended source K_2 mag (profile-fitted) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
k_2Xi |
gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, reliableGcsPointSource, reliableGpsPointSource |
WSA |
Offset of K_2 detection from master position (+east/-west) |
real |
4 |
arcsec |
-0.9999995e9 |
POS_EQ_RA_OFF |
k_2Xi |
gcsSource, gpsSource |
WSA |
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. |
k_5sig_ba |
twomass_xsc |
2MASS |
K minor/major axis ratio fit to the 5-sigma isophote. |
real |
4 |
|
|
PHYS_AXIS-RATIO |
k_5sig_phi |
twomass_xsc |
2MASS |
K angle to 5-sigma major axis (E of N). |
smallint |
2 |
degrees |
|
ERROR |
k_5surf |
twomass_xsc |
2MASS |
K central surface brightness (r<=5). |
real |
4 |
mag |
|
PHOT_SB_GENERAL |
k_ba |
twomass_sixx2_xsc |
2MASS |
K minor/major axis ratio fit to the 3-sigma isophote |
real |
4 |
|
|
|
k_ba |
twomass_xsc |
2MASS |
K minor/major axis ratio fit to the 3-sigma isophote. |
real |
4 |
|
|
PHYS_AXIS-RATIO |
k_back |
twomass_xsc |
2MASS |
K coadd median background. |
real |
4 |
|
|
CODE_MISC |
k_bisym_chi |
twomass_xsc |
2MASS |
K bi-symmetric cross-correlation chi. |
real |
4 |
|
|
FIT_PARAM_VALUE |
k_bisym_rat |
twomass_xsc |
2MASS |
K bi-symmetric flux ratio. |
real |
4 |
|
|
PHOT_FLUX_RATIO |
k_bndg_amp |
twomass_xsc |
2MASS |
K banding maximum FT amplitude on this side of coadd. |
real |
4 |
DN |
|
FIT_PARAM_VALUE |
k_bndg_per |
twomass_xsc |
2MASS |
K banding Fourier Transf. period on this side of coadd. |
int |
4 |
arcsec |
|
FIT_PARAM_VALUE |
k_chif_ellf |
twomass_xsc |
2MASS |
K % chi-fraction for elliptical fit to 3-sig isophote. |
real |
4 |
|
|
FIT_PARAM_VALUE |
k_cmsig |
twomass_psc |
2MASS |
Corrected photometric uncertainty for the default Ks-band magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_con_indx |
twomass_xsc |
2MASS |
K concentration index r_75%/r_25%. |
real |
4 |
|
|
PHYS_CONCENT_INDEX |
k_d_area |
twomass_xsc |
2MASS |
K 5-sigma to 3-sigma differential area. |
smallint |
2 |
|
|
FIT_RESIDUAL |
k_flg_10 |
twomass_xsc |
2MASS |
K confusion flag for 10 arcsec circular ap. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_15 |
twomass_xsc |
2MASS |
K confusion flag for 15 arcsec circular ap. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_20 |
twomass_xsc |
2MASS |
K confusion flag for 20 arcsec circular ap. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_25 |
twomass_xsc |
2MASS |
K confusion flag for 25 arcsec circular ap. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_30 |
twomass_xsc |
2MASS |
K confusion flag for 30 arcsec circular ap. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_40 |
twomass_xsc |
2MASS |
K confusion flag for 40 arcsec circular ap. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_5 |
twomass_xsc |
2MASS |
K confusion flag for 5 arcsec circular ap. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_50 |
twomass_xsc |
2MASS |
K confusion flag for 50 arcsec circular ap. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_60 |
twomass_xsc |
2MASS |
K confusion flag for 60 arcsec circular ap. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_7 |
twomass_sixx2_xsc |
2MASS |
K confusion flag for 7 arcsec circular ap. mag |
smallint |
2 |
|
|
|
k_flg_7 |
twomass_xsc |
2MASS |
K confusion flag for 7 arcsec circular ap. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_70 |
twomass_xsc |
2MASS |
K confusion flag for 70 arcsec circular ap. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_c |
twomass_xsc |
2MASS |
K confusion flag for Kron circular mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_e |
twomass_xsc |
2MASS |
K confusion flag for Kron elliptical mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_fc |
twomass_xsc |
2MASS |
K confusion flag for fiducial Kron circ. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_fe |
twomass_xsc |
2MASS |
K confusion flag for fiducial Kron ell. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_i20c |
twomass_xsc |
2MASS |
K confusion flag for 20mag/sq." iso. circ. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_i20e |
twomass_xsc |
2MASS |
K confusion flag for 20mag/sq." iso. ell. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_i21c |
twomass_xsc |
2MASS |
K confusion flag for 21mag/sq." iso. circ. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_i21e |
twomass_xsc |
2MASS |
K confusion flag for 21mag/sq." iso. ell. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_j21fc |
twomass_xsc |
2MASS |
K confusion flag for 21mag/sq." iso. fid. circ. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_j21fe |
twomass_xsc |
2MASS |
K confusion flag for 21mag/sq." iso. fid. ell. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_k20fc |
twomass_xsc |
2MASS |
K confusion flag for 20mag/sq." iso. fid. circ. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_flg_k20fe |
twomass_sixx2_xsc |
2MASS |
K confusion flag for 20mag/sq.″ iso. fid. ell. mag |
smallint |
2 |
|
|
|
k_flg_k20fe |
twomass_xsc |
2MASS |
K confusion flag for 20mag/sq." iso. fid. ell. mag. |
smallint |
2 |
|
|
CODE_MISC |
k_m |
twomass_psc |
2MASS |
Default Ks-band magnitude |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m |
twomass_sixx2_psc |
2MASS |
K selected "default" magnitude |
real |
4 |
mag |
|
|
k_m_10 |
twomass_xsc |
2MASS |
K 10 arcsec radius circular aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_15 |
twomass_xsc |
2MASS |
K 15 arcsec radius circular aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_20 |
twomass_xsc |
2MASS |
K 20 arcsec radius circular aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_25 |
twomass_xsc |
2MASS |
K 25 arcsec radius circular aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_2mass |
allwise_sc |
WISE |
2MASS Ks-band magnitude of the associated 2MASS PSC source. This column is "null" if there is no associated 2MASS PSC source or if the 2MASS PSC Ks-band magnitude entry is "null". |
float |
8 |
mag |
|
|
k_m_2mass |
wise_allskysc |
WISE |
2MASS Ks-band magnitude or magnitude upper limit of the associated 2MASS PSC source. This column is default if there is no associated 2MASS PSC source or if the 2MASS PSC Ks-band magnitude entry is default. |
real |
4 |
mag |
-0.9999995e9 |
|
k_m_2mass |
wise_prelimsc |
WISE |
2MASS Ks-band magnitude or magnitude upper limit of the associated 2MASS PSC source This column is default if there is no associated 2MASS PSC source or if the 2MASS PSC Ks-band magnitude entry is default |
real |
4 |
mag |
-0.9999995e9 |
|
k_m_30 |
twomass_xsc |
2MASS |
K 30 arcsec radius circular aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_40 |
twomass_xsc |
2MASS |
K 40 arcsec radius circular aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_5 |
twomass_xsc |
2MASS |
K 5 arcsec radius circular aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_50 |
twomass_xsc |
2MASS |
K 50 arcsec radius circular aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_60 |
twomass_xsc |
2MASS |
K 60 arcsec radius circular aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_7 |
twomass_sixx2_xsc |
2MASS |
K 7 arcsec radius circular aperture magnitude |
real |
4 |
mag |
|
|
k_m_7 |
twomass_xsc |
2MASS |
K 7 arcsec radius circular aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_70 |
twomass_xsc |
2MASS |
K 70 arcsec radius circular aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_c |
twomass_xsc |
2MASS |
K Kron circular aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_e |
twomass_xsc |
2MASS |
K Kron elliptical aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_ext |
twomass_sixx2_xsc |
2MASS |
K mag from fit extrapolation |
real |
4 |
mag |
|
|
k_m_ext |
twomass_xsc |
2MASS |
K mag from fit extrapolation. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_fc |
twomass_xsc |
2MASS |
K fiducial Kron circular magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_fe |
twomass_xsc |
2MASS |
K fiducial Kron ell. mag aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_i20c |
twomass_xsc |
2MASS |
K 20mag/sq." isophotal circular ap. magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_i20e |
twomass_xsc |
2MASS |
K 20mag/sq." isophotal elliptical ap. magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_i21c |
twomass_xsc |
2MASS |
K 21mag/sq." isophotal circular ap. magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_i21e |
twomass_xsc |
2MASS |
K 21mag/sq." isophotal elliptical ap. magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_j21fc |
twomass_xsc |
2MASS |
K 21mag/sq." isophotal fiducial circ. ap. mag. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_j21fe |
twomass_xsc |
2MASS |
K 21mag/sq." isophotal fiducial ell. ap. magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_k20fc |
twomass_xsc |
2MASS |
K 20mag/sq." isophotal fiducial circ. ap. mag. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_k20fe |
twomass_sixx2_xsc |
2MASS |
K 20mag/sq.″ isophotal fiducial ell. ap. magnitude |
real |
4 |
mag |
|
|
k_m_k20fe |
twomass_xsc |
2MASS |
K 20mag/sq." isophotal fiducial ell. ap. magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_stdap |
twomass_psc |
2MASS |
Ks-band "standard" aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_m_sys |
twomass_xsc |
2MASS |
K system photometry magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_mnsurfb_eff |
twomass_xsc |
2MASS |
K mean surface brightness at the half-light radius. |
real |
4 |
mag |
|
PHOT_SB_GENERAL |
k_msig |
twomass_sixx2_psc |
2MASS |
K "default" mag uncertainty |
real |
4 |
mag |
|
|
k_msig_10 |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 10 arcsec circular ap. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_15 |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 15 arcsec circular ap. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_20 |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 20 arcsec circular ap. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_25 |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 25 arcsec circular ap. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_2mass |
allwise_sc |
WISE |
2MASS Ks-band corrected photometric uncertainty of the associated 2MASS PSC source. This column is "null" if there is no associated 2MASS PSC source or if the 2MASS PSC Ks-band uncertainty entry is "null". |
float |
8 |
mag |
|
|
k_msig_2mass |
wise_allskysc |
WISE |
2MASS Ks-band corrected photometric uncertainty of the associated 2MASS PSC source. This column is default if there is no associated 2MASS PSC source or if the 2MASS PSC Ks-band uncertainty entry is default. |
real |
4 |
mag |
-0.9999995e9 |
|
k_msig_2mass |
wise_prelimsc |
WISE |
2MASS Ks-band corrected photometric uncertainty of the associated 2MASS PSC source This column is default if there is no associated 2MASS PSC source or if the 2MASS PSC Ks-band uncertainty entry is default |
real |
4 |
mag |
-0.9999995e9 |
|
k_msig_30 |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 30 arcsec circular ap. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_40 |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 40 arcsec circular ap. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_5 |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 5 arcsec circular ap. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_50 |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 50 arcsec circular ap. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_60 |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 60 arcsec circular ap. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_7 |
twomass_sixx2_xsc |
2MASS |
K 1-sigma uncertainty in 7 arcsec circular ap. mag |
real |
4 |
mag |
|
|
k_msig_7 |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 7 arcsec circular ap. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_70 |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 70 arcsec circular ap. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_c |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in Kron circular mag. |
real |
4 |
mag |
|
ERROR |
k_msig_e |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in Kron elliptical mag. |
real |
4 |
mag |
|
ERROR |
k_msig_ext |
twomass_sixx2_xsc |
2MASS |
K 1-sigma uncertainty in mag from fit extrapolation |
real |
4 |
mag |
|
|
k_msig_ext |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in mag from fit extrapolation. |
real |
4 |
mag |
|
ERROR |
k_msig_fc |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in fiducial Kron circ. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_fe |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in fiducial Kron ell. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_i20c |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 20mag/sq." iso. circ. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_i20e |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 20mag/sq." iso. ell. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_i21c |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 21mag/sq." iso. circ. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_i21e |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 21mag/sq." iso. ell. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_j21fc |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 21mag/sq." iso.fid.circ.mag. |
real |
4 |
mag |
|
ERROR |
k_msig_j21fe |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 21mag/sq." iso.fid.ell.mag. |
real |
4 |
mag |
|
ERROR |
k_msig_k20fc |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 20mag/sq." iso.fid.circ. mag. |
real |
4 |
mag |
|
ERROR |
k_msig_k20fe |
twomass_sixx2_xsc |
2MASS |
K 1-sigma uncertainty in 20mag/sq.″ iso.fid.ell.mag |
real |
4 |
mag |
|
|
k_msig_k20fe |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in 20mag/sq." iso.fid.ell.mag. |
real |
4 |
mag |
|
ERROR |
k_msig_stdap |
twomass_psc |
2MASS |
Uncertainty in the Ks-band standard aperture magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_msig_sys |
twomass_xsc |
2MASS |
K 1-sigma uncertainty in system photometry mag. |
real |
4 |
mag |
|
ERROR |
k_msigcom |
twomass_psc |
2MASS |
Combined, or total photometric uncertainty for the default Ks-band magnitude. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_msigcom |
twomass_sixx2_psc |
2MASS |
combined (total) K band photometric uncertainty |
real |
4 |
mag |
|
|
k_msnr10 |
twomass_scn |
2MASS |
The estimated Ks-band magnitude at which SNR=10 is achieved for this scan. |
real |
4 |
mag |
|
SPECT_FLUX_VALUE |
k_msnr10 |
twomass_sixx2_scn |
2MASS |
K mag at which SNR=10 is achieved, from k_psp and k_zp_ap |
real |
4 |
mag |
|
|
k_n_snr10 |
twomass_scn |
2MASS |
Number of point sources at Ks-band with SNR>10 (instrumental mag <=14.3) |
int |
4 |
|
|
NUMBER |
k_n_snr10 |
twomass_sixx2_scn |
2MASS |
number of K point sources with SNR>10 (instrumental m<=14.3) |
int |
4 |
|
|
|
k_pchi |
twomass_xsc |
2MASS |
K chi^2 of fit to rad. profile (LCSB: alpha scale len). |
real |
4 |
|
|
FIT_PARAM_VALUE |
k_peak |
twomass_xsc |
2MASS |
K peak pixel brightness. |
real |
4 |
mag |
|
PHOT_SB_GENERAL |
k_perc_darea |
twomass_xsc |
2MASS |
K 5-sigma to 3-sigma percent area change. |
smallint |
2 |
|
|
FIT_PARAM |
k_phi |
twomass_sixx2_xsc |
2MASS |
K angle to 3-sigma major axis (E of N) |
smallint |
2 |
deg |
|
|
k_phi |
twomass_xsc |
2MASS |
K angle to 3-sigma major axis (E of N). |
smallint |
2 |
degrees |
|
POS_POS-ANG |
k_psfchi |
twomass_psc |
2MASS |
Reduced chi-squared goodness-of-fit value for the Ks-band profile-fit photometry made on the 1.3 s "Read_2" exposures. |
real |
4 |
|
|
FIT_PARAM_VALUE |
k_psp |
twomass_scn |
2MASS |
Ks-band photometric sensitivity paramater (PSP). |
real |
4 |
|
|
INST_SENSITIVITY |
k_psp |
twomass_sixx2_scn |
2MASS |
K photometric sensitivity param: k_shape_avg*(k_fbg_avg^.29) |
real |
4 |
|
|
|
k_pts_noise |
twomass_scn |
2MASS |
Base-10 logarithm of the mode of the noise distribution for all point source detections in the scan, where the noise is estimated from the measured Ks-band photometric errors and is expressed in units of mJy. |
real |
4 |
|
|
INST_NOISE |
k_pts_noise |
twomass_sixx2_scn |
2MASS |
log10 of K band modal point src noise estimate |
real |
4 |
logmJy |
|
|
k_r_c |
twomass_xsc |
2MASS |
K Kron circular aperture radius. |
real |
4 |
arcsec |
|
EXTENSION_RAD |
k_r_e |
twomass_xsc |
2MASS |
K Kron elliptical aperture semi-major axis. |
real |
4 |
arcsec |
|
EXTENSION_RAD |
k_r_eff |
twomass_xsc |
2MASS |
K half-light (integrated half-flux point) radius. |
real |
4 |
arcsec |
|
EXTENSION_RAD |
k_r_i20c |
twomass_xsc |
2MASS |
K 20mag/sq." isophotal circular aperture radius. |
real |
4 |
arcsec |
|
EXTENSION_RAD |
k_r_i20e |
twomass_xsc |
2MASS |
K 20mag/sq." isophotal elliptical ap. semi-major axis. |
real |
4 |
arcsec |
|
EXTENSION_RAD |
k_r_i21c |
twomass_xsc |
2MASS |
K 21mag/sq." isophotal circular aperture radius. |
real |
4 |
arcsec |
|
EXTENSION_RAD |
k_r_i21e |
twomass_xsc |
2MASS |
K 21mag/sq." isophotal elliptical ap. semi-major axis. |
real |
4 |
arcsec |
|
EXTENSION_RAD |
k_resid_ann |
twomass_xsc |
2MASS |
K residual annulus background median. |
real |
4 |
DN |
|
CODE_MISC |
k_sc_1mm |
twomass_xsc |
2MASS |
K 1st moment (score) (LCSB: super blk 2,4,8 SNR). |
real |
4 |
|
|
CODE_MISC |
k_sc_2mm |
twomass_xsc |
2MASS |
K 2nd moment (score) (LCSB: SNRMAX - super SNR max). |
real |
4 |
|
|
CODE_MISC |
k_sc_msh |
twomass_xsc |
2MASS |
K median shape score. |
real |
4 |
|
|
CODE_MISC |
k_sc_mxdn |
twomass_xsc |
2MASS |
K mxdn (score) (LCSB: BSNR - block/smoothed SNR). |
real |
4 |
|
|
CODE_MISC |
k_sc_r1 |
twomass_xsc |
2MASS |
K r1 (score). |
real |
4 |
|
|
CODE_MISC |
k_sc_r23 |
twomass_xsc |
2MASS |
K r23 (score) (LCSB: TSNR - integrated SNR for r=15). |
real |
4 |
|
|
CODE_MISC |
k_sc_sh |
twomass_xsc |
2MASS |
K shape (score). |
real |
4 |
|
|
CODE_MISC |
k_sc_vint |
twomass_xsc |
2MASS |
K vint (score). |
real |
4 |
|
|
CODE_MISC |
k_sc_wsh |
twomass_xsc |
2MASS |
K wsh (score) (LCSB: PSNR - peak raw SNR). |
real |
4 |
|
|
CODE_MISC |
k_seetrack |
twomass_xsc |
2MASS |
K band seetracking score. |
real |
4 |
|
|
CODE_MISC |
k_sh0 |
twomass_xsc |
2MASS |
K ridge shape (LCSB: BSNR limit). |
real |
4 |
|
|
FIT_PARAM |
k_shape_avg |
twomass_scn |
2MASS |
Ks-band average seeing shape for scan. |
real |
4 |
|
|
INST_SEEING |
k_shape_avg |
twomass_sixx2_scn |
2MASS |
K band average seeing shape for scan |
real |
4 |
|
|
|
k_shape_rms |
twomass_scn |
2MASS |
RMS-error of Ks-band average seeing shape. |
real |
4 |
|
|
INST_SEEING |
k_shape_rms |
twomass_sixx2_scn |
2MASS |
rms of K band avg seeing shape for scan |
real |
4 |
|
|
|
k_sig_sh0 |
twomass_xsc |
2MASS |
K ridge shape sigma (LCSB: B2SNR limit). |
real |
4 |
|
|
FIT_PARAM |
k_snr |
twomass_psc |
2MASS |
Ks-band "scan" signal-to-noise ratio. |
real |
4 |
mag |
|
INST_NOISE |
k_snr |
twomass_sixx2_psc |
2MASS |
K band "scan" signal-to-noise ratio |
real |
4 |
|
|
|
k_subst2 |
twomass_xsc |
2MASS |
K residual background #2 (score). |
real |
4 |
|
|
CODE_MISC |
k_zp_ap |
twomass_scn |
2MASS |
Photometric zero-point for Ks-band aperture photometry. |
real |
4 |
mag |
|
PHOT_ZP |
k_zp_ap |
twomass_sixx2_scn |
2MASS |
K band ap. calibration photometric zero-point for scan |
real |
4 |
mag |
|
|
k_zperr_ap |
twomass_scn |
2MASS |
RMS-error of zero-point for Ks-band aperture photometry |
real |
4 |
mag |
|
FIT_ERROR |
k_zperr_ap |
twomass_sixx2_scn |
2MASS |
K band ap. calibration rms error of zero-point for scan |
real |
4 |
mag |
|
|
ka |
catwise_2020, catwise_prelim |
WISE |
astrometry usage code (0: neither the ascending nor the descending scan provided a solution; 1: only the ascending scan provided a solution; 2: only the descending scan provided a solution; 3: both scans provided solutions which were combined in the relevant way) |
int |
4 |
|
|
|
kAperJky3 |
lasYselJSourceRemeasurement |
WSA |
Default point source K aperture corrected (2.0 arcsec aperture diameter) calibrated flux If in doubt use this flux estimator |
real |
4 |
jansky |
-0.9999995e9 |
phot.flux |
kAperJky3Err |
lasYselJSourceRemeasurement |
WSA |
Error in default point/extended source K (2.0 arcsec aperture diameter) calibrated flux |
real |
4 |
jansky |
-0.9999995e9 |
stat.error |
kAperJky4 |
lasYselJSourceRemeasurement |
WSA |
Point source K aperture corrected (2.8 arcsec aperture diameter) calibrated flux |
real |
4 |
jansky |
-0.9999995e9 |
phot.flux |
kAperJky4Err |
lasYselJSourceRemeasurement |
WSA |
Error in point/extended source K (2.8 arcsec aperture diameter) calibrated flux |
real |
4 |
jansky |
-0.9999995e9 |
stat.error |
kAperJky6 |
lasYselJSourceRemeasurement |
WSA |
Point source K aperture corrected (5.7 arcsec aperture diameter) calibrated flux |
real |
4 |
jansky |
-0.9999995e9 |
phot.flux |
kAperJky6Err |
lasYselJSourceRemeasurement |
WSA |
Error in point/extended source K (5.7 arcsec aperture diameter) calibrated flux |
real |
4 |
jansky |
-0.9999995e9 |
stat.error |
kAperJkyNoAperCorr3 |
lasYselJSourceRemeasurement |
WSA |
Default extended source K (2.0 arcsec aperture diameter, but no aperture correction applied) aperture calibrated flux If in doubt use this flux estimator |
real |
4 |
jansky |
-0.9999995e9 |
phot.flux |
kAperJkyNoAperCorr4 |
lasYselJSourceRemeasurement |
WSA |
Extended source K (2.8 arcsec aperture diameter, but no aperture correction applied) aperture calibrated flux |
real |
4 |
jansky |
-0.9999995e9 |
phot.flux |
kAperJkyNoAperCorr6 |
lasYselJSourceRemeasurement |
WSA |
Extended source K (5.7 arcsec aperture diameter, but no aperture correction applied) aperture calibrated flux |
real |
4 |
jansky |
-0.9999995e9 |
phot.flux |
kAperLup3 |
lasYselJSourceRemeasurement |
WSA |
Default point source K aperture corrected (2.0 arcsec aperture diameter) luptitude If in doubt use this flux estimator |
real |
4 |
lup |
-0.9999995e9 |
phot.lup |
kAperLup3Err |
lasYselJSourceRemeasurement |
WSA |
Error in default point/extended source K (2.0 arcsec aperture diameter) luptitude |
real |
4 |
lup |
-0.9999995e9 |
stat.error |
kAperLup4 |
lasYselJSourceRemeasurement |
WSA |
Point source K aperture corrected (2.8 arcsec aperture diameter) luptitude |
real |
4 |
lup |
-0.9999995e9 |
phot.lup |
kAperLup4Err |
lasYselJSourceRemeasurement |
WSA |
Error in point/extended source K (2.8 arcsec aperture diameter) luptitude |
real |
4 |
lup |
-0.9999995e9 |
stat.error |
kAperLup6 |
lasYselJSourceRemeasurement |
WSA |
Point source K aperture corrected (5.7 arcsec aperture diameter) luptitude |
real |
4 |
lup |
-0.9999995e9 |
phot.lup |
kAperLup6Err |
lasYselJSourceRemeasurement |
WSA |
Error in point/extended source K (5.7 arcsec aperture diameter) luptitude |
real |
4 |
lup |
-0.9999995e9 |
stat.error |
kAperLupNoAperCorr3 |
lasYselJSourceRemeasurement |
WSA |
Default extended source K (2.0 arcsec aperture diameter, but no aperture correction applied) aperture luptitude If in doubt use this flux estimator |
real |
4 |
lup |
-0.9999995e9 |
phot.lup |
kAperLupNoAperCorr4 |
lasYselJSourceRemeasurement |
WSA |
Extended source K (2.8 arcsec aperture diameter, but no aperture correction applied) aperture luptitude |
real |
4 |
lup |
-0.9999995e9 |
phot.lup |
kAperLupNoAperCorr6 |
lasYselJSourceRemeasurement |
WSA |
Extended source K (5.7 arcsec aperture diameter, but no aperture correction applied) aperture luptitude |
real |
4 |
lup |
-0.9999995e9 |
phot.lup |
kAperMag1 |
calSynopticSource |
WSACalib |
Extended source K aperture corrected mag (1.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag1 |
gpsJHKsource, gpsPointSource, reliableGpsPointSource |
WSA |
Default point source K aperture corrected mag (1.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag1 |
gpsSource |
WSA |
Default point source K aperture corrected mag (1.0 arcsec aperture diameter) If in doubt use this flux estimator |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag1Err |
calSynopticSource |
WSACalib |
Error in extended source K mag (1.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag1Err |
gpsJHKsource, gpsPointSource, gpsSource, reliableGpsPointSource |
WSA |
Error in point source K mag (1.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag2 |
calSynopticSource |
WSACalib |
Extended source K aperture corrected mag (1.4 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag2Err |
calSynopticSource |
WSACalib |
Error in extended source K mag (1.4 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag3 |
calSource |
WSACalib |
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 |
calSynopticSource |
WSACalib |
Default point/extended source K aperture corrected mag (2.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag3 |
dxsJKsource, gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, lasExtendedSource, lasPointSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource |
WSA |
Default point source K aperture corrected mag (2.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag3 |
dxsSource, gcsSource, gpsSource, lasSource |
WSA |
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 |
lasYselJSourceRemeasurement |
WSA |
Default point source K aperture corrected (2.0 arcsec aperture diameter) If in doubt use this flux estimator |
real |
4 |
mag |
-0.9999995e9 |
phot.mag |
kAperMag3 |
reliableUdsSource |
WSA |
Default point/extended source K mag, no aperture correction applied |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag3 |
udsSource |
WSA |
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 |
uhsSource, uhsSourceAll |
WSAUHS |
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 |
kAperMag3Err |
calSource, calSynopticSource |
WSACalib |
Error in default point/extended source K mag (2.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag3Err |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource |
WSA |
Error in default point source K mag (2.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag3Err |
lasYselJSourceRemeasurement |
WSA |
Error in default point/extended source K (2.0 arcsec aperture diameter) magnitude |
real |
4 |
mag |
-0.9999995e9 |
stat.error |
kAperMag3Err |
reliableUdsSource, udsSource |
WSA |
Error in default point/extended source K mag (2.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag3Err |
uhsSource, uhsSourceAll |
WSAUHS |
Error in default point source K mag (2.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag4 |
calSource, calSynopticSource |
WSACalib |
Extended source K aperture corrected mag (2.8 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag4 |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource |
WSA |
Point source K aperture corrected mag (2.8 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag4 |
lasYselJSourceRemeasurement |
WSA |
Point source K aperture corrected (2.8 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
phot.mag |
kAperMag4 |
reliableUdsSource, udsSource |
WSA |
Extended source K mag, no aperture correction applied |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag4 |
uhsSource, uhsSourceAll |
WSAUHS |
Point source K aperture corrected mag (2.8 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag4Err |
calSource, calSynopticSource |
WSACalib |
Error in extended source K mag (2.8 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag4Err |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource |
WSA |
Error in point source K mag (2.8 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag4Err |
lasYselJSourceRemeasurement |
WSA |
Error in point/extended source K (2.8 arcsec aperture diameter) magnitude |
real |
4 |
mag |
-0.9999995e9 |
stat.error |
kAperMag4Err |
reliableUdsSource, udsSource |
WSA |
Error in extended source K mag (2.8 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag4Err |
uhsSource, uhsSourceAll |
WSAUHS |
Error in point source K mag (2.8 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag5 |
calSynopticSource |
WSACalib |
Extended source K aperture corrected mag (4.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag5Err |
calSynopticSource |
WSACalib |
Error in extended source K mag (4.0 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag6 |
calSource |
WSACalib |
Extended source K aperture corrected mag (5.7 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag6 |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableLasPointSource |
WSA |
Point source K aperture corrected mag (5.7 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag6 |
lasYselJSourceRemeasurement |
WSA |
Point source K aperture corrected (5.7 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
phot.mag |
kAperMag6 |
reliableUdsSource, udsSource |
WSA |
Extended source K mag, no aperture correction applied |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag6 |
uhsSource, uhsSourceAll |
WSAUHS |
Point source K aperture corrected mag (5.7 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kAperMag6Err |
calSource |
WSACalib |
Error in extended source K mag (5.7 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag6Err |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableLasPointSource |
WSA |
Error in point source K mag (5.7 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag6Err |
lasYselJSourceRemeasurement |
WSA |
Error in point/extended source K (5.7 arcsec aperture diameter) magnitude |
real |
4 |
mag |
-0.9999995e9 |
stat.error |
kAperMag6Err |
reliableUdsSource, udsSource |
WSA |
Error in extended source K mag (5.7 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMag6Err |
uhsSource, uhsSourceAll |
WSAUHS |
Error in point source K mag (5.7 arcsec aperture diameter) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kAperMagNoAperCorr3 |
lasYselJSourceRemeasurement |
WSA |
Default extended source K (2.0 arcsec aperture diameter, but no aperture correction applied) aperture magnitude If in doubt use this flux estimator |
real |
4 |
mag |
-0.9999995e9 |
phot.mag |
kAperMagNoAperCorr4 |
lasYselJSourceRemeasurement |
WSA |
Extended source K (2.8 arcsec aperture diameter, but no aperture correction applied) aperture magnitude |
real |
4 |
mag |
-0.9999995e9 |
phot.mag |
kAperMagNoAperCorr6 |
lasYselJSourceRemeasurement |
WSA |
Extended source K (5.7 arcsec aperture diameter, but no aperture correction applied) aperture magnitude |
real |
4 |
mag |
-0.9999995e9 |
phot.mag |
kaStratAst |
calVarFrameSetInfo |
WSACalib |
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 |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
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. |
kaStratPht |
calVarFrameSetInfo |
WSACalib |
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 |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
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. |
kAverageConf |
lasYselJSourceRemeasurement |
WSA |
average confidence in 2 arcsec diameter default aperture (aper3) K |
real |
4 |
|
-0.9999995e9 |
stat.likelihood;em.IR.NIR |
kbestAper |
calVariability |
WSACalib |
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) |
kbestAper |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVarFrameSetInfo |
WSACalib |
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 |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
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. |
kbStratPht |
calVarFrameSetInfo |
WSACalib |
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 |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
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. |
kchiSqAst |
calVarFrameSetInfo |
WSACalib |
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 |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
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. |
kchiSqpd |
calVariability |
WSACalib |
Chi square (per degree of freedom) fit to data (mean and expected rms) |
real |
4 |
|
-0.9999995e9 |
|
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. |
kchiSqpd |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVarFrameSetInfo |
WSACalib |
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. |
kchiSqPht |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
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 |
calSource, calSynopticSource |
WSACalib |
discrete image classification flag in K |
smallint |
2 |
|
-9999 |
CLASS_MISC |
kClass |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, udsSource |
WSA |
discrete image classification flag in K |
smallint |
2 |
|
-9999 |
CLASS_MISC |
kClass |
lasYselJSourceRemeasurement |
WSA |
discrete image classification flag in K |
smallint |
2 |
|
-9999 |
src.class |
kClass |
uhsSource, uhsSourceAll |
WSAUHS |
discrete image classification flag in K |
smallint |
2 |
|
-9999 |
CLASS_MISC |
kClassStat |
calSource, calSynopticSource |
WSACalib |
N(0,1) stellarness-of-profile statistic in K |
real |
4 |
|
-0.9999995e9 |
STAT_PROP |
kClassStat |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource |
WSA |
N(0,1) stellarness-of-profile statistic in K |
real |
4 |
|
-0.9999995e9 |
STAT_PROP |
kClassStat |
lasYselJSourceRemeasurement |
WSA |
N(0,1) stellarness-of-profile statistic in K |
real |
4 |
|
-0.9999995e9 |
stat |
kClassStat |
reliableUdsSource, udsSource |
WSA |
S-Extractor classification statistic in K |
real |
4 |
|
-0.9999995e9 |
STAT_PROP |
kClassStat |
uhsSource, uhsSourceAll |
WSAUHS |
N(0,1) stellarness-of-profile statistic in K |
real |
4 |
|
-0.9999995e9 |
STAT_PROP |
kCorr |
twompzPhotoz |
TWOMPZ |
K 20mag/sq." isophotal fiducial ell. ap. magnitude with Galactic dust correction {image primary HDU keyword: Kcorr} |
real |
4 |
mag |
-0.9999995e9 |
phot.mag;em.IR.K |
kCorrErr |
twompzPhotoz |
TWOMPZ |
K 1-sigma uncertainty in 20mag/sq." aperture {image primary HDU keyword: k_msig_k20fe} |
real |
4 |
mag |
-0.9999995e9 |
|
kcStratAst |
calVarFrameSetInfo |
WSACalib |
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 |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
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. |
kcStratPht |
calVarFrameSetInfo |
WSACalib |
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 |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
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. |
kDeblend |
calSource |
WSACalib |
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. |
kDeblend |
calSynopticSource |
WSACalib |
placeholder flag indicating parent/child relation in K |
int |
4 |
|
-99999999 |
CODE_MISC |
kDeblend |
dxsJKsource, gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, lasExtendedSource, lasPointSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, udsSource |
WSA |
placeholder flag indicating parent/child relation in K |
int |
4 |
|
-99999999 |
CODE_MISC |
kDeblend |
dxsSource, gcsSource, gpsSource, lasSource |
WSA |
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. |
kDeblend |
uhsSource, uhsSourceAll |
WSAUHS |
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. |
kEll |
calSource, calSynopticSource |
WSACalib |
1-b/a, where a/b=semi-major/minor axes in K |
real |
4 |
|
-0.9999995e9 |
PHYS_ELLIPTICITY |
kEll |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, udsSource |
WSA |
1-b/a, where a/b=semi-major/minor axes in K |
real |
4 |
|
-0.9999995e9 |
PHYS_ELLIPTICITY |
kEll |
lasYselJSourceRemeasurement |
WSA |
1-b/a, where a/b=semi-major/minor axes in K |
real |
4 |
|
-0.9999995e9 |
src.ellipticty |
kEll |
uhsSource, uhsSourceAll |
WSAUHS |
1-b/a, where a/b=semi-major/minor axes in K |
real |
4 |
|
-0.9999995e9 |
PHYS_ELLIPTICITY |
keNum |
calMergeLog, calSynopticMergeLog |
WSACalib |
the extension number of this K frame |
tinyint |
1 |
|
|
NUMBER |
keNum |
dxsJKmergeLog, dxsMergeLog, gcsMergeLog, gcsZYJHKmergeLog, gpsJHKmergeLog, gpsMergeLog, lasMergeLog, lasYJHKmergeLog, udsMergeLog |
WSA |
the extension number of this K frame |
tinyint |
1 |
|
|
NUMBER |
keNum |
lasYselJRemeasMergeLog |
WSA |
the extension number of this K frame |
tinyint |
1 |
|
|
meta.number;em.IR.K |
keNum |
uhsMergeLog |
WSAUHS |
the extension number of this K frame |
tinyint |
1 |
|
|
NUMBER |
kErrBits |
calSource, calSynopticSource |
WSACalib |
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. |
kErrBits |
dxsJKsource, gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, lasExtendedSource, lasPointSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource |
WSA |
processing warning/error bitwise flags in K |
int |
4 |
|
-99999999 |
CODE_MISC |
kErrBits |
dxsSource, gcsSource, gpsSource, lasSource |
WSA |
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. |
kErrBits |
lasYselJSourceRemeasurement |
WSA |
processing warning/error bitwise flags in K |
int |
4 |
|
-99999999 |
meta.code |
Apparently not actually an error bit flag, but a count of the number of zero confidence pixels in the default (2 arcsec diameter) aperture. |
kErrBits |
udsSource |
WSA |
processing warning/error bitwise flags in K |
int |
4 |
|
-99999999 |
CODE_MISC |
This uses the FLAGS attribute in SE. The individual bit flags that this can be decomposed into are as follows: Bit Flag | Meaning | | 1 | The object has neighbours, bright enough and close enough to significantly bias the MAG_AUTO photometry or bad pixels (more than 10% of photometry affected). | | 2 | The object was originally blended with another | | 4 | At least one pixel is saturated (or very close to) | | 8 | The object is truncated (too close to an image boundary) | | 16 | Object's aperture data are incomplete or corrupted | | 32 | Object's isophotal data are imcomplete or corrupted. This is an old flag inherited from SE v1.0, and is kept for compatability reasons. It doesn't have any consequence for the extracted parameters. | | 64 | Memory overflow occurred during deblending | | 128 | Memory overflow occurred during extraction | |
|
kErrBits |
uhsSource, uhsSourceAll |
WSAUHS |
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 |
calSource, calSynopticSource |
WSACalib |
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. |
kEta |
dxsJKsource, gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, lasExtendedSource, lasPointSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource |
WSA |
Offset of K detection from master position (+north/-south) |
real |
4 |
arcsec |
-0.9999995e9 |
POS_EQ_DEC_OFF |
kEta |
dxsSource, gcsSource, gpsSource, lasSource, udsSource |
WSA |
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. |
kEta |
uhsSource, uhsSourceAll |
WSAUHS |
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 |
calVarFrameSetInfo |
WSACalib |
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. |
kexpML |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
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 |
calVariability |
WSACalib |
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. |
kExpRms |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calSource, calSynopticSource |
WSACalib |
RMS of axes of ellipse fit in K |
real |
4 |
pixels |
-0.9999995e9 |
MORPH_PARAM |
kGausig |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, udsSource |
WSA |
RMS of axes of ellipse fit in K |
real |
4 |
pixels |
-0.9999995e9 |
MORPH_PARAM |
kGausig |
lasYselJSourceRemeasurement |
WSA |
RMS of axes of ellipse fit in K |
real |
4 |
pixels |
-0.9999995e9 |
src.morph.param |
kGausig |
uhsSource, uhsSourceAll |
WSAUHS |
RMS of axes of ellipse fit in K |
real |
4 |
pixels |
-0.9999995e9 |
MORPH_PARAM |
kHallMag |
calSource |
WSACalib |
Total point source K mag |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kHallMag |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource |
WSA |
Total point source K mag |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kHallMag |
reliableUdsSource, udsSource |
WSA |
Not available in SE output |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kHallMag |
uhsSource, uhsSourceAll |
WSAUHS |
Total point source K mag |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kHallMagErr |
calSource |
WSACalib |
Error in total point source K mag |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kHallMagErr |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource |
WSA |
Error in total point source K mag |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kHallMagErr |
reliableUdsSource, udsSource |
WSA |
Not available in SE output |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kHallMagErr |
uhsSource, uhsSourceAll |
WSAUHS |
Error in total point source K mag |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kIntRms |
calVariability |
WSACalib |
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. |
kIntRms |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVarFrameSetInfo |
WSACalib |
Use a default model for the astrometric noise in K band. |
tinyint |
1 |
|
0 |
|
kisDefAst |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
Use a default model for the astrometric noise in K band. |
tinyint |
1 |
|
0 |
|
kisDefPht |
calVarFrameSetInfo |
WSACalib |
Use a default model for the photometric noise in K band. |
tinyint |
1 |
|
0 |
|
kisDefPht |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
Use a default model for the photometric noise in K band. |
tinyint |
1 |
|
0 |
|
kIsMeas |
lasYselJSourceRemeasurement |
WSA |
Is pass band K measured? 0 no, 1 yes |
tinyint |
1 |
|
0 |
meta.code |
km |
catwise_2020, catwise_prelim |
WISE |
proper motion usage code (0: neither the ascending nor the descending scan provided a solution; 1: only the ascending scan provided a solution; 2: only the descending scan provided a solution; 3: both scans provided solutions which were combined in the relevant way) |
int |
4 |
|
|
|
kMag |
ukirtFSstars |
WSA |
K band total magnitude on the MKO(UFTI) system |
real |
4 |
mag |
|
phot.mag |
kMag |
ukirtFSstars |
WSACalib |
K band total magnitude on the MKO(UFTI) system |
real |
4 |
mag |
|
phot.mag |
kMag |
ukirtFSstars |
WSAUHS |
K band total magnitude on the MKO(UFTI) system |
real |
4 |
mag |
|
phot.mag |
kMagErr |
ukirtFSstars |
WSA |
K band magnitude error |
real |
4 |
mag |
|
stat.error |
kMagErr |
ukirtFSstars |
WSACalib |
K band magnitude error |
real |
4 |
mag |
|
stat.error |
kMagErr |
ukirtFSstars |
WSAUHS |
K band magnitude error |
real |
4 |
mag |
|
stat.error |
kMagMAD |
calVariability |
WSACalib |
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. |
kMagMAD |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVariability |
WSACalib |
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. |
kMagRms |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVariability |
WSACalib |
maximum gap between observations |
real |
4 |
days |
-0.9999995e9 |
|
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable. |
kmaxCadence |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVariability |
WSACalib |
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. |
kMaxMag |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVariability |
WSACalib |
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. |
kmeanMag |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVariability |
WSACalib |
median gap between observations |
real |
4 |
days |
-0.9999995e9 |
|
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable. |
kmedCadence |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVariability |
WSACalib |
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. |
kmedianMag |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calMergeLog, calSynopticMergeLog |
WSACalib |
the UID of the relevant K multiframe |
bigint |
8 |
|
|
ID_FRAME |
kmfID |
dxsJKmergeLog, dxsMergeLog, gcsMergeLog, gcsZYJHKmergeLog, gpsJHKmergeLog, gpsMergeLog, lasMergeLog, lasYJHKmergeLog, udsMergeLog |
WSA |
the UID of the relevant K multiframe |
bigint |
8 |
|
|
ID_FRAME |
kmfID |
lasYselJRemeasMergeLog |
WSA |
the UID of the relevant K multiframe |
bigint |
8 |
|
|
meta.id;obs.field;em.IR.K |
kmfID |
uhsMergeLog |
WSAUHS |
the UID of the relevant K multiframe |
bigint |
8 |
|
|
ID_FRAME |
kminCadence |
calVariability |
WSACalib |
minimum gap between observations |
real |
4 |
days |
-0.9999995e9 |
|
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable. |
kminCadence |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVariability |
WSACalib |
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. |
kMinMag |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVariability |
WSACalib |
Number of degrees of freedom for chisquare |
smallint |
2 |
|
-9999 |
|
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. |
kndof |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVarFrameSetInfo |
WSACalib |
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 |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
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. |
knDofPht |
calVarFrameSetInfo |
WSACalib |
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. |
knDofPht |
dxsVarFrameSetInfo, gcsVarFrameSetInfo, gpsVarFrameSetInfo, udsVarFrameSetInfo |
WSA |
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 |
calVariability |
WSACalib |
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 |
dxsVariability |
WSA |
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 |
gcsVariability |
WSA |
Number of detections in K band flagged as potentially spurious by gcsDetection.ppErrBits |
int |
4 |
|
0 |
|
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable. |
knFlaggedObs |
gpsVariability |
WSA |
Number of detections in K band flagged as potentially spurious by gpsDetection.ppErrBits |
int |
4 |
|
0 |
|
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable. |
knFlaggedObs |
udsVariability |
WSA |
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. |
knGoodObs |
calVariability |
WSACalib |
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. |
knGoodObs |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVariability |
WSACalib |
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 |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVariability |
WSACalib |
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. |
knMissingObs |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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. |
kPA |
calSource, calSynopticSource |
WSACalib |
ellipse fit celestial orientation in K |
real |
4 |
Degrees |
-0.9999995e9 |
POS_POS-ANG |
kPA |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, udsSource |
WSA |
ellipse fit celestial orientation in K |
real |
4 |
Degrees |
-0.9999995e9 |
POS_POS-ANG |
kPA |
lasYselJSourceRemeasurement |
WSA |
ellipse fit celestial orientation in K |
real |
4 |
Degrees |
-0.9999995e9 |
pos.posAng |
kPA |
uhsSource, uhsSourceAll |
WSAUHS |
ellipse fit celestial orientation in K |
real |
4 |
Degrees |
-0.9999995e9 |
POS_POS-ANG |
kPetroMag |
calSource |
WSACalib |
Extended source K mag (Petrosian) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kPetroMag |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, udsSource |
WSA |
Extended source K mag (Petrosian) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kPetroMag |
uhsSource, uhsSourceAll |
WSAUHS |
Extended source K mag (Petrosian) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kPetroMagErr |
calSource |
WSACalib |
Error in extended source K mag (Petrosian) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kPetroMagErr |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, udsSource |
WSA |
Error in extended source K mag (Petrosian) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kPetroMagErr |
uhsSource, uhsSourceAll |
WSAUHS |
Error in extended source K mag (Petrosian) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kppErrBits |
calSource, calSynopticSource |
WSACalib |
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: Byte | Bit | Detection quality issue | Threshold or bit mask | Applies to | | | | Decimal | Hexadecimal | | 0 | 4 | Deblended | 16 | 0x00000010 | All VDFS catalogues | 0 | 6 | Bad pixel(s) in default aperture | 64 | 0x00000040 | All VDFS catalogues | 1 | 15 | Source in poor flat field region | 32768 | 0x00008000 | All but mosaics | 2 | 16 | Close to saturated | 65536 | 0x00010000 | All VDFS catalogues (though deeps excluded prior to DR8) | 2 | 17 | Photometric calibration probably subject to systematic error | 131072 | 0x00020000 | GPS only | 2 | 19 | Possible crosstalk artefact/contamination | 524288 | 0x00080000 | All but GPS | 2 | 22 | Lies within a dither offset of the stacked frame boundary | 4194304 | 0x00400000 | All but mosaics | In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all K band sources in the LAS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information. |
kppErrBits |
dxsJKsource, gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, lasExtendedSource, lasPointSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, udsSource |
WSA |
additional WFAU post-processing error bits in K |
int |
4 |
|
0 |
CODE_MISC |
kppErrBits |
dxsSource, gcsSource, gpsSource, lasSource |
WSA |
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: Byte | Bit | Detection quality issue | Threshold or bit mask | Applies to | | | | Decimal | Hexadecimal | | 0 | 4 | Deblended | 16 | 0x00000010 | All VDFS catalogues | 0 | 6 | Bad pixel(s) in default aperture | 64 | 0x00000040 | All VDFS catalogues | 1 | 15 | Source in poor flat field region | 32768 | 0x00008000 | All but mosaics | 2 | 16 | Close to saturated | 65536 | 0x00010000 | All VDFS catalogues (though deeps excluded prior to DR8) | 2 | 17 | Photometric calibration probably subject to systematic error | 131072 | 0x00020000 | GPS only | 2 | 19 | Possible crosstalk artefact/contamination | 524288 | 0x00080000 | All but GPS | 2 | 22 | Lies within a dither offset of the stacked frame boundary | 4194304 | 0x00400000 | All but mosaics | In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all K band sources in the LAS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information. |
kppErrBits |
lasYselJSourceRemeasurement |
WSA |
additional WFAU post-processing error bits in K |
int |
4 |
|
0 |
meta.code |
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: Byte | Bit | Detection quality issue | Threshold or bit mask | Applies to | | | | Decimal | Hexadecimal | | 0 | 4 | Deblended | 16 | 0x00000010 | All VDFS catalogues | 0 | 6 | Bad pixel(s) in default aperture | 64 | 0x00000040 | All VDFS catalogues | 1 | 15 | Source in poor flat field region | 32768 | 0x00008000 | All but mosaics | 2 | 16 | Close to saturated | 65536 | 0x00010000 | All VDFS catalogues (though deeps excluded prior to DR8) | 2 | 17 | Photometric calibration probably subject to systematic error | 131072 | 0x00020000 | GPS only | 2 | 19 | Possible crosstalk artefact/contamination | 524288 | 0x00080000 | All but GPS | 2 | 22 | Lies within a dither offset of the stacked frame boundary | 4194304 | 0x00400000 | All but mosaics | In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all K band sources in the LAS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information. |
kppErrBits |
uhsSource, uhsSourceAll |
WSAUHS |
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: Byte | Bit | Detection quality issue | Threshold or bit mask | Applies to | | | | Decimal | Hexadecimal | | 0 | 4 | Deblended | 16 | 0x00000010 | All VDFS catalogues | 0 | 6 | Bad pixel(s) in default aperture | 64 | 0x00000040 | All VDFS catalogues | 1 | 15 | Source in poor flat field region | 32768 | 0x00008000 | All but mosaics | 2 | 16 | Close to saturated | 65536 | 0x00010000 | All VDFS catalogues (though deeps excluded prior to DR8) | 2 | 17 | Photometric calibration probably subject to systematic error | 131072 | 0x00020000 | GPS only | 2 | 19 | Possible crosstalk artefact/contamination | 524288 | 0x00080000 | All but GPS | 2 | 22 | Lies within a dither offset of the stacked frame boundary | 4194304 | 0x00400000 | All but mosaics | In this way, the higher the error quality bit flag value, the more likely it is that the detection is spurious. The decimal threshold (column 4) gives the minimum value of the quality flag for a detection having the given condition (since other bits in the flag may be set also; the corresponding hexadecimal value, where each digit corresponds to 4 bits in the flag, can be easier to compute when writing SQL queries to test for a given condition). For example, to exclude all K band sources in the LAS having any error quality condition other than informational ones, include a predicate ... AND kppErrBits ≤ 255. See the SQL Cookbook and other online pages for further information. |
kprobVar |
calVariability |
WSACalib |
Probability of variable from chi-square (and other data) |
real |
4 |
|
-0.9999995e9 |
|
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. |
kprobVar |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calSource |
WSACalib |
Point source profile-fitted K mag |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kPsfMag |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource |
WSA |
Point source profile-fitted K mag |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kPsfMag |
reliableUdsSource, udsSource |
WSA |
Not available in SE output |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kPsfMag |
uhsSource, uhsSourceAll |
WSAUHS |
Point source profile-fitted K mag |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kPsfMagErr |
calSource |
WSACalib |
Error in point source profile-fitted K mag |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kPsfMagErr |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource |
WSA |
Error in point source profile-fitted K mag |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kPsfMagErr |
reliableUdsSource, udsSource |
WSA |
Not available in SE output |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kPsfMagErr |
uhsSource, uhsSourceAll |
WSAUHS |
Error in point source profile-fitted K mag |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kronFlux |
Detection |
PS1DR2 |
Kron (1980) flux. |
real |
4 |
Janskys |
-999 |
|
kronFlux |
UKIDSSDetection |
WSA |
flux within circular aperture to k × r_k ; k = 2 |
real |
4 |
ADU |
|
PHOT_INTENSITY_ADU |
kronFlux |
calDetection |
WSACalib |
flux within circular aperture to k × r_k ; k = 2 {catalogue TType keyword: Kron_flux} |
real |
4 |
ADU |
|
PHOT_INTENSITY_ADU |
kronFlux |
dxsDetection, gcsDetection, gpsDetection, lasDetection |
WSA |
flux within circular aperture to k × r_k ; k = 2 {catalogue TType keyword: Kron_flux} |
real |
4 |
ADU |
|
PHOT_INTENSITY_ADU |
kronFlux |
lasMapRemeasurement |
WSA |
flux within Kron radius circular aperture (SE: FLUX_AUTO; CASU: default) {catalogue TType keyword: Kron_flux} |
real |
4 |
ADU |
|
phot.count |
kronFlux |
ptsDetection |
WSATransit |
flux within circular aperture to k × r_k ; k = 2 {catalogue TType keyword: Kron_flux} |
real |
4 |
ADU |
|
PHOT_INTENSITY_ADU |
kronFlux |
udsDetection |
WSA |
flux within Kron radius circular aperture (SE: FLUX_AUTO) {catalogue TType keyword: Kron_flux} |
real |
4 |
ADU |
|
PHOT_INTENSITY_ADU |
kronFlux |
uhsDetection, uhsDetectionAll |
WSAUHS |
flux within circular aperture to k × r_k ; k = 2 {catalogue TType keyword: Kron_flux} |
real |
4 |
ADU |
|
PHOT_INTENSITY_ADU |
kronFluxErr |
Detection |
PS1DR2 |
Error on Kron (1980) flux. |
real |
4 |
Janskys |
-999 |
|
kronFluxErr |
UKIDSSDetection |
WSA |
error on Kron flux |
real |
4 |
ADU |
|
ERROR |
kronFluxErr |
calDetection |
WSACalib |
error on Kron flux {catalogue TType keyword: Kron_flux_err} |
real |
4 |
ADU |
|
ERROR |
kronFluxErr |
dxsDetection, gcsDetection, gpsDetection, lasDetection |
WSA |
error on Kron flux {catalogue TType keyword: Kron_flux_err} |
real |
4 |
ADU |
|
ERROR |
kronFluxErr |
lasMapRemeasurement |
WSA |
error on Kron flux (SE: FLUXERR_AUTO; CASU: default) {catalogue TType keyword: Kron_flux_err} |
real |
4 |
ADU |
|
stat.error |
kronFluxErr |
ptsDetection |
WSATransit |
error on Kron flux {catalogue TType keyword: Kron_flux_err} |
real |
4 |
ADU |
|
ERROR |
kronFluxErr |
udsDetection |
WSA |
error on Kron flux (SE: FLUXERR_AUTO) {catalogue TType keyword: Kron_flux_err} |
real |
4 |
ADU |
|
ERROR |
kronFluxErr |
uhsDetection, uhsDetectionAll |
WSAUHS |
error on Kron flux {catalogue TType keyword: Kron_flux_err} |
real |
4 |
ADU |
|
ERROR |
kronJky |
lasMapRemeasurement |
WSA |
Calibrated Kron flux within aperture r_k (CASU: default) |
real |
4 |
jansky |
|
phot.mag |
kronJkyErr |
lasMapRemeasurement |
WSA |
error on calibrated Kron flux |
real |
4 |
jansky (CASU: default) |
|
stat.error |
kronLup |
lasMapRemeasurement |
WSA |
Calibrated Kron luptitude within aperture r_k (CASU: default) |
real |
4 |
lup |
|
phot.mag |
kronLupErr |
lasMapRemeasurement |
WSA |
error on calibrated Kron luptitude |
real |
4 |
lup (CASU: default) |
|
stat.error |
kronMag |
dxsDetection, gcsDetection, gpsDetection, lasDetection, UKIDSSDetection, udsDetection |
WSA |
Calibrated Kron magnitude within circular aperture r_k |
real |
4 |
mag |
|
PHOT_INT-MAG |
kronMag |
calDetection |
WSACalib |
Calibrated Kron magnitude within circular aperture r_k |
real |
4 |
mag |
|
PHOT_INT-MAG |
kronMag |
lasMapRemeasurement |
WSA |
Calibrated Kron magnitude within aperture r_k (CASU: default) |
real |
4 |
mag |
|
phot.mag |
kronMag |
ptsDetection |
WSATransit |
Calibrated Kron magnitude within circular aperture r_k |
real |
4 |
mag |
|
PHOT_INT-MAG |
kronMag |
uhsDetection, uhsDetectionAll |
WSAUHS |
Calibrated Kron magnitude within circular aperture r_k |
real |
4 |
mag |
|
PHOT_INT-MAG |
kronMagErr |
dxsDetection, gcsDetection, gpsDetection, lasDetection, UKIDSSDetection, udsDetection |
WSA |
error on calibrated Kron magnitude |
real |
4 |
mag |
|
ERROR |
kronMagErr |
calDetection |
WSACalib |
error on calibrated Kron magnitude |
real |
4 |
mag |
|
ERROR |
kronMagErr |
lasMapRemeasurement |
WSA |
error on calibrated Kron magnitude |
real |
4 |
mag (CASU: default) |
|
stat.error |
kronMagErr |
ptsDetection |
WSATransit |
error on calibrated Kron magnitude |
real |
4 |
mag |
|
ERROR |
kronMagErr |
uhsDetection, uhsDetectionAll |
WSAUHS |
error on calibrated Kron magnitude |
real |
4 |
mag |
|
ERROR |
kronRad |
Detection |
PS1DR2 |
Kron (1980) radius. |
real |
4 |
arcsec |
-999 |
|
kronRad |
UKIDSSDetection |
WSA |
r_k as defined in Bertin and Arnouts 1996 A&A Supp 117 393 |
real |
4 |
pixels |
|
EXTENSION_RAD |
kronRad |
calDetection |
WSACalib |
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 |
dxsDetection, gcsDetection, gpsDetection, lasDetection |
WSA |
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 |
lasMapRemeasurement |
WSA |
Kron radius as defined in SE by Graham and Driver (2005) (SE: KRON_RADIUS*A_IMAGE; CASU: default) {catalogue TType keyword: Kron_radius} r_k = ∑R² I(R) / ∑R I(R) |
real |
4 |
pixels |
|
phys.angSize |
Since <FLUX>_RADIUS is expressed in multiples of the major axis, <FLUX>_RADIUS is multiplied by A_IMAGE to convert to pixels. |
kronRad |
ptsDetection |
WSATransit |
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 |
udsDetection |
WSA |
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 |
uhsDetection, uhsDetectionAll |
WSAUHS |
r_k as defined in Bertin and Arnouts 1996 A&A Supp 117 393 {catalogue TType keyword: Kron_radius} |
real |
4 |
pixels |
|
EXTENSION_RAD |
kSeqNum |
calSource, calSynopticSource |
WSACalib |
the running number of the K detection |
int |
4 |
|
-99999999 |
ID_NUMBER |
kSeqNum |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource, udsSource |
WSA |
the running number of the K detection |
int |
4 |
|
-99999999 |
ID_NUMBER |
kSeqNum |
uhsSource, uhsSourceAll |
WSAUHS |
the running number of the K detection |
int |
4 |
|
-99999999 |
ID_NUMBER |
kSerMag2D |
calSource |
WSACalib |
Extended source K mag (profile-fitted) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kSerMag2D |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource |
WSA |
Extended source K mag (profile-fitted) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kSerMag2D |
reliableUdsSource, udsSource |
WSA |
Not available in SE output |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kSerMag2D |
uhsSource, uhsSourceAll |
WSAUHS |
Extended source K mag (profile-fitted) |
real |
4 |
mag |
-0.9999995e9 |
PHOT_MAG |
kSerMag2DErr |
calSource |
WSACalib |
Error in extended source K mag (profile-fitted) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kSerMag2DErr |
dxsJKsource, dxsSource, gcsPointSource, gcsSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, gpsSource, lasExtendedSource, lasPointSource, lasSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource |
WSA |
Error in extended source K mag (profile-fitted) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kSerMag2DErr |
reliableUdsSource, udsSource |
WSA |
Not available in SE output |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kSerMag2DErr |
uhsSource, uhsSourceAll |
WSAUHS |
Error in extended source K mag (profile-fitted) |
real |
4 |
mag |
-0.9999995e9 |
ERROR |
kskewness |
calVariability |
WSACalib |
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. |
kskewness |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calVariability |
WSACalib |
total period of observations (last obs-first obs) |
real |
4 |
days |
-0.9999995e9 |
|
The observations are classified as good, flagged or missing. Flagged observations are ones where the object has a ppErrBit flag. Missing observations are observations of the part of the sky that include the position of the object, but had no detection. All the statistics are calculated from good observations. The cadence parameters give the minimum, median and maximum time between observations, which is useful to know if the data could be used to find a particular type of variable. |
ktotalPeriod |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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. |
kurtosis |
phot_variable_time_series_g_fov_statistical_parameters |
GAIADR1 |
Standardized unweighted kurtosis of the G-band time series values |
float |
8 |
|
|
stat.value |
kVarClass |
calVariability |
WSACalib |
Classification of variability in this band |
smallint |
2 |
|
-9999 |
|
The photometry is calculated for good observations in the best aperture. The mean, rms, median, median absolute deviation, minMag and maxMag are quite standard. The skewness is calculated as in Sesar et al. 2007, AJ, 134, 2236. The number of good detections that are more than 3 standard deviations can indicate a distribution with many outliers. In each frameset, the mean and rms are used to derive a fit to the expected rms as a function of magnitude. The parameters for the fit are stored in VarFrameSetInfo and the value for the source is in expRms. This is subtracted from the rms in quadrature to get the intrinsic rms: the variability of the object beyond the noise in the system. The chi-squared is calculated, assuming a non-variable object which has the noise from the expected-rms and mean calculated as above. The probVar statistic assumes a chi-squared distribution with the correct number of degrees of freedom. The varClass statistic is 1, if the probVar>0.9 and intrinsicRMS/expectedRMS>3. |
kVarClass |
dxsVariability, gcsVariability, gpsVariability, udsVariability |
WSA |
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 |
calSource, calSynopticSource |
WSACalib |
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. |
kXi |
dxsJKsource, gcsPointSource, gcsZYJHKsource, gpsJHKsource, gpsPointSource, lasExtendedSource, lasPointSource, lasYJHKsource, reliableDxsSource, reliableGcsPointSource, reliableGpsPointSource, reliableLasPointSource, reliableUdsSource |
WSA |
Offset of K detection from master position (+east/-west) |
real |
4 |
arcsec |
-0.9999995e9 |
POS_EQ_RA_OFF |
kXi |
dxsSource, gcsSource, gpsSource, lasSource, udsSource |
WSA |
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. |
kXi |
uhsSource, uhsSourceAll |
WSAUHS |
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. |