WFCAM Science Archive

Glossary of WSA attributes

This Glossary alphabetically lists all attributes used in the UKIDSSR2 database(s) held in the WSA. If you would like to have more information about the schema tables please use the UKIDSSR2 Schema Browser (other Browser versions).

A B C D E F G H I J K L M
N O P Q R S T U V W X Y Z

P

Name Schema Table Database Description Type Length Unit Default Value Unified Content Descriptor

pa Detection SSA Celestial position angle (E of N) smallint 2 degrees POS_POS-ANG

pa calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA ellipse fit orientation to x axis {catalogue TType keyword: Position_angle}
Angle of ellipse major axis wrt x axis. real 4 degrees POS_POS-ANG

pa firstSource FIRST position angle (east of north) derived from the elliptical Gaussian model for the source real 4 degrees POS_POS-ANG

pairingCriterion Programme WSA The pairing criterion for associating detections into merged sources real 4 Degrees ??

parentID Detection SSA objID of parent object, = objID for parent/undeblended (ie. not child) object bigint 8 ID_PARENT

pcSysID MultiframeDetector WSA PC system identifier {image extension keyword: PCSYSID} varchar 32 NONE ??

pCut Plate SSA Threshold "percentage cut" for pixel analysis real 4 percent STAT_%REJECT

petroFlux calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA flux within circular aperture to k × r_p ; k = 2 {catalogue TType keyword: Petr_flux} real 4 ADU PHOT_INTENSITY_ADU

petroFluxErr calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA error on Petrosian flux {catalogue TType keyword: Petr_flux_err} real 4 ADU ERROR

petroMag calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA Calibrated Petrosian magnitude within circular aperture r_p real 4 mag PHOT_INT-MAG

petroMagErr calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA error on calibrated Petrosian magnitude real 4 mag ERROR

petroRad calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA r_p as defined in Yasuda et al. 2001 AJ 112 1104 {catalogue TType keyword: Petr_radius} real 4 pixels EXTENSION_RAD

pFlag rosat_bsc, rosat_fsc ROSAT possible problem with position determination varchar 1 CODE_MISC

pGalaxy calSourceEpochs, commSource, dxsSource, gcsSource, gpsSource, lasSource, udsSource WSA Probability that the source is a galaxy real 4 STAT_PROP

Individual detection classifications are combined in the source merging process to produce a set of attributes for each merged source as follows. Presently, a basic classification table is defined that assigns reasonably accurate, self-consistent probability values for a given classification code:

Flag Meaning Probability (%)

Star Galaxy Noise Saturated

-9 Saturated 0.0 0.0 5.0 95.0

-3 Probable galaxy 25.0 70.0 5.0 0.0

-2 Probable star 70.0 25.0 5.0 0.0

-1 Star 90.0 5.0 5.0 0.0

0 Noise 5.0 5.0 90.0 0.0

+1 Galaxy 5.0 90.0 5.0 0.0

Then, each separately available classification is combined for a merged source using Bayesian classification rules, assuming each datum is independent:

P(class_k)=Π_iP(class_k)_i / Σ_kΠ_iP(class_k)_i
where class_k is one of star|galaxy|noise|saturated, and i denotes the i^th single detection passband measurement available (the non-zero entries are necessary for the independent measures method to work, since some cases might otherwise be mutually exclusive). For example, if an object is classed in J|H|K as -1|-2|+1 it would have merged classification probabilities of pStar=73.5%, pGalaxy=26.2%, pNoise=0.3% and pSaturated=0.0%. Decision thresholds for the resulting discrete classification flag mergedClass are 90% for definitive and 70% for probable; hence the above example would be classified (not unreasonably) as probably a star (mergedClass=-2). An additional decision rule enforces mergedClass=-9 (saturated) when any individual classification flag indicates saturation.

pGalaxy calSourceMeans WSA Probability that the source is a galaxy real 4 STAT_PROP

ph_qual twomass_psc 2MASS Photometric quality flag. varchar 3 CODE_QUALITY

phaRange rosat_bsc, rosat_fsc ROSAT PHA range with highest detection likelihood varchar 1 CODE_MISC

pHeight calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement WSA Highest pixel value above sky {catalogue TType keyword: Peak_height}
In counts relative to local value of sky - also zeroth order aperture flux. real 4 ADU PHOT_COUNTS_MISC

pHeight udsDetection, udsListRemeasurement WSA Highest pixel value above sky {catalogue TType keyword: Peak_height} real 4 ADU PHOT_COUNTS_MISC

pHeightErr calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA Error in peak height {catalogue TType keyword: Peak_height_err} real 4 ADU ERROR

phi_opt twomass_psc 2MASS Position angle on the sky of the vector from the the associated optical source to the TWOMASS source position, in degrees East of North. smallint 2 degrees POS_POS-ANG

photZP Multiframe WSA Photometric zeropoint for default extinction {image primary HDU keyword: MAGZPT} real 4 mag -0.9999995e9

photZPCat MultiframeDetector WSA Photometric zero point for default extinction for the catalogue data {catalogue extension keyword: MAGZPT} real 4 mags -0.9999995e9 ??

photZPErr Multiframe WSA Photometric zeropoint error {image primary HDU keyword: MAGZRR} real 4 mag -0.9999995e9

photZPErrCat MultiframeDetector WSA Photometric zero point error for the catalogue data {catalogue extension keyword: MAGZRR} real 4 mags -0.9999995e9 ??

photZPErrExt MultiframeDetector WSA Photometric zero point error of the detector {image extension keyword: MAGZRR} real 4 mags -0.9999995e9 ??

photZPExt MultiframeDetector WSA Photometric zero point for default extinction of the detector {image extension keyword: MAGZPT} real 4 mags -0.9999995e9 ??

pixelScale MultiframeDetector WSA Pixel size {image extension keyword: PIXLSIZE} real 4 arcsec per pixel -0.9999995e9 INST_PIXSIZE

plateID Detection SSA Plate ID of the plate that this detection came from int 4 ID_PLATE

plateID Plate SSA Unique identifier of the plate: surveyID plus field number combo int 4 ID_PLATE

plateNum Plate SSA Plate number assigned by observatory smallint 2 ID_PLATE

plateScale Survey SSA Nominal plate scale real 4 arcsec/mm INST_SCALE

plxCol Plate SSA Name of parallax column in reference catalogue varchar 16 REMARKS

pNearH iras_psc IRAS Number of nearby hours-confirmed point sources tinyint 1 NUMBER

pNearW iras_psc IRAS Number of nearby weeks-confirmed point sources tinyint 1 NUMBER

pNoise calSourceEpochs, commSource, dxsSource, gcsSource, gpsSource, lasSource, udsSource WSA Probability that the source is noise real 4 STAT_PROP

Individual detection classifications are combined in the source merging process to produce a set of attributes for each merged source as follows. Presently, a basic classification table is defined that assigns reasonably accurate, self-consistent probability values for a given classification code:

Flag Meaning Probability (%)

Star Galaxy Noise Saturated

-9 Saturated 0.0 0.0 5.0 95.0

-3 Probable galaxy 25.0 70.0 5.0 0.0

-2 Probable star 70.0 25.0 5.0 0.0

-1 Star 90.0 5.0 5.0 0.0

0 Noise 5.0 5.0 90.0 0.0

+1 Galaxy 5.0 90.0 5.0 0.0

Then, each separately available classification is combined for a merged source using Bayesian classification rules, assuming each datum is independent:

P(class_k)=Π_iP(class_k)_i / Σ_kΠ_iP(class_k)_i
where class_k is one of star|galaxy|noise|saturated, and i denotes the i^th single detection passband measurement available (the non-zero entries are necessary for the independent measures method to work, since some cases might otherwise be mutually exclusive). For example, if an object is classed in J|H|K as -1|-2|+1 it would have merged classification probabilities of pStar=73.5%, pGalaxy=26.2%, pNoise=0.3% and pSaturated=0.0%. Decision thresholds for the resulting discrete classification flag mergedClass are 90% for definitive and 70% for probable; hence the above example would be classified (not unreasonably) as probably a star (mergedClass=-2). An additional decision rule enforces mergedClass=-9 (saturated) when any individual classification flag indicates saturation.

pNoise calSourceMeans WSA Probability that the source is noise real 4 STAT_PROP

pointingID Multiframe WSA Pointing ID within survey {image primary HDU keyword: SURVEY_I} varchar 64 NONE ??

pos iras_asc IRAS Position Angle from IRAS Source to Association (E of N) smallint 2 degrees POS_POS-ANG

posAng iras_psc IRAS Uncertainty ellipse position angle (East of North) smallint 2 degrees POS_POS-ANG

posAngle CurrentAstrometry WSA orientation of image x-axis to N-S float 8 Degrees -0.9999995e9 POS_POS-ANG

posAngle PreviousAstrometry WSA orientation of image y-axis to N-S float 8 Degrees POS_POS-ANG

postProb JunkDetection SSA Posterior probability of detection being junk real 4 STAT_PROBABILITY

ppErrBits calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA additional WFAU post-processing error bits (place holder for now) {catalogue TType keyword: Error_bit_flag} int 4 CODE_MISC

prfMag Detection SSA Profile magnitude real 4 instrumental units PHOT_PHG_MAG

prfStat Detection SSA Profile statistic real 4 N(0,1) CLASS_STAR/GALAXY

prfStatB Source SSA Profile statistic from B band detection real 4 N(0,1) -0.99999995e9 CLASS_STAR/GALAXY

prfStatI Source SSA Profile statistic from I band detection real 4 N(0,1) -0.99999995e9 CLASS_STAR/GALAXY

prfStatR1 Source SSA Profile statistic from R1 band detection real 4 N(0,1) -0.99999995e9 CLASS_STAR/GALAXY

prfStatR2 Source SSA Profile statistic from R2 band detection real 4 N(0,1) -0.99999995e9 CLASS_STAR/GALAXY

priFlgLb rosat_bsc, rosat_fsc ROSAT priority flag L-broad tinyint 1 CODE_MISC

priFlgLh rosat_bsc, rosat_fsc ROSAT priority flag L-hard tinyint 1 CODE_MISC

priFlgLs rosat_bsc, rosat_fsc ROSAT priority flag L-soft tinyint 1 CODE_MISC

priFlgMb rosat_bsc, rosat_fsc ROSAT priority flag M-broad tinyint 1 CODE_MISC

priFlgMh rosat_bsc, rosat_fsc ROSAT priority flag M-hard tinyint 1 CODE_MISC

priFlgMs rosat_bsc, rosat_fsc ROSAT priority flag M-soft tinyint 1 CODE_MISC

priOrSec calSourceEpochs, calSourceMeans, commSource, dxsSource, gcsSource, gpsSource, lasSource, udsSource WSA Seam code for a unique (=0) or duplicated (!=0) source (eg. flags overlap duplicates). bigint 8 -99999999 CODE_MISC

Because of the spacing of the detectors in WFCAM, and the restrictions on guide star brightness, there will always be overlap regions between adjacent frame sets. Source merging is done on a set-by-set basis; hence after source merging there are usually a small number of duplicate sources in the table. A process known as seaming takes place after source merging is complete, whereby duplicates are identified and flagged. The flagging attribute is priOrSec, and the meaning of the flag is quite simple: if a source is not found to be duplicated in overlap regions, then priOrSec=0; if a source is duplicated, then priOrSec will be set to the frameSetID of the source that should be considered the best one to use out of the set of duplicates. Presently, the choice of which is best is made on the basis of proximity to the optical axis of the camera, the assumption being that this will give the best quality image in general. So, if a particular source has a non-zero priOrSec that is set to it's own value of frameSetID, then this indicates that there is a duplicate elsewhere in the table, but this is the one that should be selected as the best (i.e. this is the primary source). On the other hand, if a source has a non-zero value of priOrSec that is set a different frameSetID than that of the source in question, then this indicates that this source should be considered as a secondary duplicate of a source who's primary is actually to be found in the frame set pointed to by that value of frameSetID. Hence, the WHERE clause for selecting out a seamless, best catalogue is of the form WHERE ... AND (priOrSec=0 OR priOrSec=frameSetID).

priOrSec dxsSourceRemeasurement, gcsSourceRemeasurement, gpsSourceRemeasurement, lasSourceRemeasurement, udsSourceRemeasurement WSA Seam code for a unique (=0) or duplicated (!=0) source (eg. flags overlap duplicates). bigint 8 CODE_MISC

productID RequiredDiffImage, RequiredStack WSA A unique identifier assigned to each required stack product entry int 4 ??

productID RequiredMosaic WSA A unique identifier assigned to each required mosaic product entry int 4 ??

programmeID Programme WSA UID of the archived programme coded as above int 4 ID_SURVEY

programmeID ProgrammeCurationHistory, ProgrammeTable, RequiredCurationTask, RequiredFilters WSA the unique programme ID int 4 ID_SURVEY

programmeID ProgrammeFrame, SurveyProgrammes WSA WSA assigned programme UID {image primary HDU keyword: PROJECT} int 4 -99999999 ID_SURVEY

programmeID RequiredDiffImage, RequiredListDrivenProduct, RequiredMosaic, RequiredNeighbours, RequiredStack WSA The unique programme ID int 4 ID_SURVEY

project Multiframe WSA Time-allocation code {image primary HDU keyword: PROJECT} varchar 64 NONE REFER_CODE

projection RequiredMosaic WSA CASU mosaic tool option to specify output WCS projection type (TAN for gnomonic, ZPN for zenithal polynomial) varchar 3 ??

propPeriod Programme WSA the proprietory period for any data taken for this programme in months, e.g. 12 for open time. int 4 months TIME_PERIOD

proprietary Survey WSA Logical flag indicating whether a survey is proprietary or not (1=yes; 0=no) tinyint 1 ??

prox twomass_psc, twomass_xsc 2MASS Proximity. real 4 arcsec POS_ANG_DIST_GENERAL

pSaturated calSourceEpochs, commSource, dxsSource, gcsSource, gpsSource, lasSource, udsSource WSA Probability that the source is saturated real 4 STAT_PROP

Individual detection classifications are combined in the source merging process to produce a set of attributes for each merged source as follows. Presently, a basic classification table is defined that assigns reasonably accurate, self-consistent probability values for a given classification code:

Flag Meaning Probability (%)

Star Galaxy Noise Saturated

-9 Saturated 0.0 0.0 5.0 95.0

-3 Probable galaxy 25.0 70.0 5.0 0.0

-2 Probable star 70.0 25.0 5.0 0.0

-1 Star 90.0 5.0 5.0 0.0

0 Noise 5.0 5.0 90.0 0.0

+1 Galaxy 5.0 90.0 5.0 0.0

Then, each separately available classification is combined for a merged source using Bayesian classification rules, assuming each datum is independent:

P(class_k)=Π_iP(class_k)_i / Σ_kΠ_iP(class_k)_i
where class_k is one of star|galaxy|noise|saturated, and i denotes the i^th single detection passband measurement available (the non-zero entries are necessary for the independent measures method to work, since some cases might otherwise be mutually exclusive). For example, if an object is classed in J|H|K as -1|-2|+1 it would have merged classification probabilities of pStar=73.5%, pGalaxy=26.2%, pNoise=0.3% and pSaturated=0.0%. Decision thresholds for the resulting discrete classification flag mergedClass are 90% for definitive and 70% for probable; hence the above example would be classified (not unreasonably) as probably a star (mergedClass=-2). An additional decision rule enforces mergedClass=-9 (saturated) when any individual classification flag indicates saturation.

pSaturated calSourceMeans WSA Probability that the source is saturated real 4 STAT_PROP

psfFitChi2 calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA standard normalised variance of PSF fit {catalogue TType keyword: PSF_fit_chi2} real 4 -0.9999995e9 FIT_STDEV

psfFitDof calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA no. of degrees of freedom of PSF fit {catalogue TType keyword: PSF_fit_dof} smallint 2 -9999 STAT_N-DOF

psfFitX calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA PSF-fitted X coordinate {catalogue TType keyword: PSF_fit_X} real 4 pixels -0.9999995e9 POS_PLATE_X

psfFitXerr calDetection WSA Error on PSF-fitted X coordinate {catalogue TType keyword: PSF_fit_X_error} real 4 pixels -0.9999995e9 ERROR

psfFitXerr commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA Error on PSF-fitted X coordinate {catalogue TType keyword: PSF_fit_X_err} real 4 pixels -0.9999995e9 ERROR

psfFitY calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA PSF-fitted Y coordinate {catalogue TType keyword: PSF_fit_Y} real 4 pixels -0.9999995e9 POS_PLATE_Y

psfFitYerr calDetection WSA Error on PSF-fitted Y coordinate {catalogue TType keyword: PSF_fit_y_error} real 4 pixels -0.9999995e9 ERROR

psfFitYerr commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA Error on PSF-fitted Y coordinate {catalogue TType keyword: PSF_fit_y_err} real 4 pixels -0.9999995e9 ERROR

psfFlux calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA PSF-fitted flux {catalogue TType keyword: PSF_flux} real 4 ADU -0.9999995e9 PHOT_INTENSITY_ADU

psfFluxErr calDetection WSA Error on PSF-fitted flux {catalogue TType keyword: PSF_flux_error} real 4 ADU -0.9999995e9 ERROR

psfFluxErr commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA Error on PSF-fitted flux {catalogue TType keyword: PSF_flux_err} real 4 ADU -0.9999995e9 ERROR

psfMag calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA PSF-fitted calibrated magnitude real 4 mag -0.9999995e9 PHOT_PROFILE

psfMagErr calDetection, commDetection, dxsDetection, dxsListRemeasurement, gcsDetection, gcsListRemeasurement, gpsDetection, gpsListRemeasurement, lasDetection, lasListRemeasurement, udsDetection, udsListRemeasurement WSA Error on PSF-fitted calibrated magnitude real 4 mag -0.9999995e9 ERROR

pStar calSourceEpochs, commSource, dxsSource, gcsSource, gpsSource, lasSource, udsSource WSA Probability that the source is a star real 4 STAT_PROP

Individual detection classifications are combined in the source merging process to produce a set of attributes for each merged source as follows. Presently, a basic classification table is defined that assigns reasonably accurate, self-consistent probability values for a given classification code:

Flag Meaning Probability (%)

Star Galaxy Noise Saturated

-9 Saturated 0.0 0.0 5.0 95.0

-3 Probable galaxy 25.0 70.0 5.0 0.0

-2 Probable star 70.0 25.0 5.0 0.0

-1 Star 90.0 5.0 5.0 0.0

0 Noise 5.0 5.0 90.0 0.0

+1 Galaxy 5.0 90.0 5.0 0.0

Then, each separately available classification is combined for a merged source using Bayesian classification rules, assuming each datum is independent:

P(class_k)=Π_iP(class_k)_i / Σ_kΠ_iP(class_k)_i
where class_k is one of star|galaxy|noise|saturated, and i denotes the i^th single detection passband measurement available (the non-zero entries are necessary for the independent measures method to work, since some cases might otherwise be mutually exclusive). For example, if an object is classed in J|H|K as -1|-2|+1 it would have merged classification probabilities of pStar=73.5%, pGalaxy=26.2%, pNoise=0.3% and pSaturated=0.0%. Decision thresholds for the resulting discrete classification flag mergedClass are 90% for definitive and 70% for probable; hence the above example would be classified (not unreasonably) as probably a star (mergedClass=-2). An additional decision rule enforces mergedClass=-9 (saturated) when any individual classification flag indicates saturation.

pStar calSourceMeans WSA Probability that the source is a star real 4 STAT_PROP

pts_key twomass_psc 2MASS A unique identification number for the PSC source. int 4 ID_NUMBER

pts_key twomass_xsc 2MASS key to point source data DB record. int 4 ID_NUMBER

pv21 CurrentAstrometry WSA Coefficient for r term {image extension keyword: PV2_1}
transformation from pixel to celestial co-ordinates float 8 0 POS_TRANSF_PARAM

pv21 PreviousAstrometry WSA Coefficient for r term {image extension keyword: PV2_1} float 8 0 POS_TRANSF_PARAM

pv22 CurrentAstrometry, PreviousAstrometry WSA Coefficient for r**2 term {image extension keyword: PV2_2}
transformation from pixel to celestial co-ordinates float 8 0 POS_TRANSF_PARAM

pv23 CurrentAstrometry WSA Coefficient for r**3 term {image extension keyword: PV2_3}
transformation from pixel to celestial co-ordinates float 8 0 POS_TRANSF_PARAM

pv23 PreviousAstrometry WSA Coefficient for r**3 term {image extension keyword: PV2_3} float 8 0 POS_TRANSF_PARAM

pxcntr twomass_psc 2MASS The pts_key value of the nearest source in the PSC. int 4 NUMBER

pxcntr twomass_xsc 2MASS ext_key value of nearest XSC source. int 4 NUMBER

pxpa twomass_psc, twomass_xsc 2MASS The position angle on the sky of the vector from the source to the nearest neighbor in the PSC, in degrees East of North. smallint 2 degrees POS_POS-ANG

WFAU, Institute for Astronomy,
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Edinburgh, EH9 3HJ, UK
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or +44 131 668 8100 (switchboard)

wsa-support@roe.ac.uk
27/01/2009