MAST Table Access Protocol PanSTARRS 1 DR2 Demo#
This tutorial demonstrates how to use astroquery to access PanSTARRS 1 Data Release 2 via a Virtual Observatory standard Table Access Protocol (TAP) service at MAST, and work with the resultant data. It relies on Python 3 and astroquery, as well as some other common scientific packages.
Table of Contents#
TAP Service Introduction
Imports
Connecting to a TAP Service
Use Cases
Additional Resources
About This Notebook
TAP Service Introduction#
Table Access Protocol (TAP) services allow more direct and flexible access to astronomical data than the simpler types of IVOA standard data services. Queries are built with the SQL-like Astronomical Data Query Language (ADQL), and can include geographic / spatial queries as well as filtering on other characteristics of the data. This also allows the user fine-grained control over the returned columns, unlike the fixed set of coumns returned from cone, image, and spectral services.
For this example, we’ll be using the astropy affiliated PyVO client, which is interoperable with other valid TAP services, including those at MAST. PyVO documentation is available at ReadTheDocs: https://pyvo.readthedocs.io
We’ll be using PyVO to call the TAP service at MAST serving PanSTARRS 1 Data Release 2, now with individual detection information. The schema is described within the service, and we’ll show how to inspect it. The schema is also the same as the one available via the CasJobs interface, with an additional view added for the most common positional queries. CasJobs has its own copy of the schema documentation, which can be accessed through its own site: http://mastweb.stsci.edu/ps1casjobs/
Imports#
# Use the pyvo library as our client to the data service.
import pyvo as vo
# For resolving objects with tools from MAST
from astroquery.mast import Mast
# For handling ordinary astropy Tables in responses
from astropy.table import Table
# For displaying and manipulating some types of results
%matplotlib inline
import requests
import astropy
import numpy as np
import pylab
import time
import json
from matplotlib import pyplot as plt
# suppress unimportant unit warnings from many TAP services
import warnings
warnings.filterwarnings("ignore", module="astropy.io.votable.*")
warnings.filterwarnings("ignore", module="pyvo.utils.xml.elements")
Connecting to a TAP Service#
The PyVO library is able to connect to any TAP service, given the “base” URL as noted in metadata registry resources describing the service. This is the URL for the PanSTARRS 1 DR2 TAP service.
TAP_service = vo.dal.TAPService("https://mast.stsci.edu/vo-tap/api/v0.1/ps1dr2/")
TAP_service.describe()
Capability ivo://ivoa.net/std/TAP
Interface vs:ParamHTTP
https://mast.stsci.edu/vo-tap/api/v0.1/ps1dr2
Language ADQL
Output format application/x-votable+xml
Also available as votable
Output format text/csv;header=present
Also available as csv
Maximum size of resultsets
Default 100000 row
Maximum 100000 row
Capability ivo://ivoa.net/std/DALI#examples
Interface vr:WebBrowser
https://mast.stsci.edu/vo-tap/api/v0.1/ps1dr2/examples
List available tables#
TAP_tables = TAP_service.tables
for tablename in TAP_tables.keys():
if not "tap_schema" in tablename:
TAP_tables[tablename].describe()
print("Columns={}".format(sorted([k.name for k in TAP_tables[tablename].columns ])))
print("----")
dbo.Detection
No description
Columns=['airMass', 'apFillF', 'apFlux', 'apFluxErr', 'apRadius', 'dec', 'decErr', 'detectID', 'dvoRegionID', 'expTime', 'extNSigma', 'filterID', 'imageID', 'infoFlag', 'infoFlag2', 'infoFlag3', 'ippDetectID', 'ippObjID', 'kronFlux', 'kronFluxErr', 'kronRad', 'momentM3C', 'momentM3S', 'momentM4C', 'momentM4S', 'momentR1', 'momentRH', 'momentXX', 'momentXY', 'momentYY', 'objID', 'obsTime', 'pltScale', 'posAngle', 'processingVersion', 'psfChiSq', 'psfCore', 'psfFlux', 'psfFluxErr', 'psfLikelihood', 'psfMajorFWHM', 'psfMinorFWHM', 'psfQf', 'psfQfPerfect', 'psfTheta', 'ra', 'raErr', 'randomDetID', 'sky', 'skyErr', 'surveyID', 'telluricExt', 'uniquePspsP2id', 'xPos', 'xPosErr', 'yPos', 'yPosErr', 'zp']
----
dbo.DetectionFlags
No description
Columns=['"value"', 'description', 'hexadecimal', 'name']
----
dbo.DetectionFlags2
No description
Columns=['"value"', 'description', 'hexadecimal', 'name']
----
dbo.DetectionFlags3
No description
Columns=['"value"', 'description', 'hexadecimal', 'name']
----
dbo.DetectionObjectView
No description
Columns=['airMass', 'apFillF', 'apFlux', 'apFluxErr', 'apRadius', 'b', 'batchID', 'beta', 'cx', 'cy', 'cz', 'dec', 'decErr', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'detectID', 'dvoRegionID', 'epochMean', 'expTime', 'extNSigma', 'filterID', 'gFlags', 'gMeanApMag', 'gMeanApMagErr', 'gMeanApMagNpt', 'gMeanApMagStd', 'gMeanKronMag', 'gMeanKronMagErr', 'gMeanKronMagNpt', 'gMeanKronMagStd', 'gMeanPSFMag', 'gMeanPSFMagErr', 'gMeanPSFMagMax', 'gMeanPSFMagMin', 'gMeanPSFMagNpt', 'gMeanPSFMagStd', 'gQfPerfect', 'htmID', 'iFlags', 'iMeanApMag', 'iMeanApMagErr', 'iMeanApMagNpt', 'iMeanApMagStd', 'iMeanKronMag', 'iMeanKronMagErr', 'iMeanKronMagNpt', 'iMeanKronMagStd', 'iMeanPSFMag', 'iMeanPSFMagErr', 'iMeanPSFMagMax', 'iMeanPSFMagMin', 'iMeanPSFMagNpt', 'iMeanPSFMagStd', 'iQfPerfect', 'imageID', 'infoFlag', 'infoFlag2', 'infoFlag3', 'ippObjID', 'kronFlux', 'kronFluxErr', 'kronRad', 'l', 'lambda', 'momentM3C', 'momentM3S', 'momentM4C', 'momentM4S', 'momentR1', 'momentRH', 'momentXX', 'momentXY', 'momentYY', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'obsTime', 'pltScale', 'posAngle', 'posMeanChisq', 'processingVersion', 'projectionID', 'psfChiSq', 'psfCore', 'psfFlux', 'psfFluxErr', 'psfLikelihood', 'psfMajorFWHM', 'psfMinorFWHM', 'psfQf', 'psfQfPerfect', 'psfTheta', 'qualityFlag', 'rFlags', 'rMeanApMag', 'rMeanApMagErr', 'rMeanApMagNpt', 'rMeanApMagStd', 'rMeanKronMag', 'rMeanKronMagErr', 'rMeanKronMagNpt', 'rMeanKronMagStd', 'rMeanPSFMag', 'rMeanPSFMagErr', 'rMeanPSFMagMax', 'rMeanPSFMagMin', 'rMeanPSFMagNpt', 'rMeanPSFMagStd', 'rQfPerfect', 'ra', 'raErr', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomDetID', 'randomID', 'sky', 'skyCellID', 'skyErr', 'surveyID', 'telluricExt', 'tessID', 'uniquePspsOBid', 'uniquePspsP2id', 'xPos', 'xPosErr', 'yFlags', 'yMeanApMag', 'yMeanApMagErr', 'yMeanApMagNpt', 'yMeanApMagStd', 'yMeanKronMag', 'yMeanKronMagErr', 'yMeanKronMagNpt', 'yMeanKronMagStd', 'yMeanPSFMag', 'yMeanPSFMagErr', 'yMeanPSFMagMax', 'yMeanPSFMagMin', 'yMeanPSFMagNpt', 'yMeanPSFMagStd', 'yPos', 'yPosErr', 'yQfPerfect', 'zFlags', 'zMeanApMag', 'zMeanApMagErr', 'zMeanApMagNpt', 'zMeanApMagStd', 'zMeanKronMag', 'zMeanKronMagErr', 'zMeanKronMagNpt', 'zMeanKronMagStd', 'zMeanPSFMag', 'zMeanPSFMagErr', 'zMeanPSFMagMax', 'zMeanPSFMagMin', 'zMeanPSFMagNpt', 'zMeanPSFMagStd', 'zQfPerfect', 'zoneID', 'zp']
----
dbo.DiffDetection
No description
Columns=['DapFillF', 'DapFlux', 'DapFluxErr', 'DinfoFlag', 'DinfoFlag2', 'DinfoFlag3', 'DkronFlux', 'DkronFluxErr', 'DkronRad', 'DmomentR1', 'DmomentRH', 'DmomentXX', 'DmomentXY', 'DmomentYY', 'DpsfChiSq', 'DpsfCore', 'DpsfFlux', 'DpsfFluxErr', 'DpsfLikelihood', 'DpsfMajorFWHM', 'DpsfMinorFWHM', 'DpsfQf', 'DpsfQfPerfect', 'DpsfTheta', 'Dsky', 'DskyErr', 'airMass', 'ccdID', 'dec', 'decErr', 'diffDetID', 'diffFPosRatio', 'diffImageID', 'diffNPos', 'diffNPosAll', 'diffNPosMask', 'diffNPosRatio', 'diffNegDist', 'diffNegSN', 'diffObjID', 'diffPosDist', 'diffPosSN', 'dvoRegionID', 'expTime', 'filterID', 'fromPosImage', 'ippDetectID', 'ippObjID', 'obsTime', 'pltScale', 'posAngle', 'processingVersion', 'projectionID', 'ra', 'raErr', 'randomDiffID', 'skyCellID', 'surveyID', 'telluricExt', 'tessID', 'uniquePspsDFid', 'xPos', 'xPosChip', 'xPosErr', 'yPos', 'yPosChip', 'yPosErr', 'zp']
----
dbo.DiffDetEffMeta
No description
Columns=['counts01', 'counts02', 'counts03', 'counts04', 'counts05', 'counts06', 'counts07', 'counts08', 'counts09', 'counts10', 'counts11', 'counts12', 'counts13', 'diffImageID', 'diffMean01', 'diffMean02', 'diffMean03', 'diffMean04', 'diffMean05', 'diffMean06', 'diffMean07', 'diffMean08', 'diffMean09', 'diffMean10', 'diffMean11', 'diffMean12', 'diffMean13', 'diffStdev01', 'diffStdev02', 'diffStdev03', 'diffStdev04', 'diffStdev05', 'diffStdev06', 'diffStdev07', 'diffStdev08', 'diffStdev09', 'diffStdev10', 'diffStdev11', 'diffStdev12', 'diffStdev13', 'errMean01', 'errMean02', 'errMean03', 'errMean04', 'errMean05', 'errMean06', 'errMean07', 'errMean08', 'errMean09', 'errMean10', 'errMean11', 'errMean12', 'errMean13', 'magref', 'nInjected', 'offset01', 'offset02', 'offset03', 'offset04', 'offset05', 'offset06', 'offset07', 'offset08', 'offset09', 'offset10', 'offset11', 'offset12', 'offset13']
----
dbo.DiffDetObject
No description
Columns=['b', 'batchID', 'beta', 'cx', 'cy', 'cz', 'dec', 'diffObjAltName1', 'diffObjAltName2', 'diffObjAltName3', 'diffObjID', 'diffObjName', 'diffObjPSOName', 'diffObjPopularName', 'dvoRegionID', 'gQfPerfect', 'htmID', 'iQfPerfect', 'ippObjID', 'l', 'lambda', 'nDetections', 'ng', 'ni', 'nr', 'ny', 'nz', 'objInfoFlag', 'processingVersion', 'qualityFlag', 'rQfPerfect', 'ra', 'randomDiffObjID', 'surveyID', 'uniquePspsDOid', 'yQfPerfect', 'zQfPerfect', 'zoneID']
----
dbo.DiffDetObjectView
No description
Columns=['DapFillF', 'DapFlux', 'DapFluxErr', 'DinfoFlag', 'DinfoFlag2', 'DinfoFlag3', 'DkronFlux', 'DkronFluxErr', 'DkronRad', 'DmomentR1', 'DmomentRH', 'DmomentXX', 'DmomentXY', 'DmomentYY', 'DpsfChiSq', 'DpsfCore', 'DpsfFlux', 'DpsfFluxErr', 'DpsfLikelihood', 'DpsfMajorFWHM', 'DpsfMinorFWHM', 'DpsfQf', 'DpsfQfPerfect', 'DpsfTheta', 'Dsky', 'DskyErr', 'airMass', 'b', 'batchID', 'beta', 'ccdID', 'cx', 'cy', 'cz', 'dec', 'decErr', 'diffFPosRatio', 'diffNPos', 'diffNPosAll', 'diffNPosMask', 'diffNPosRatio', 'diffNegDist', 'diffNegSN', 'diffObjAltName1', 'diffObjAltName2', 'diffObjAltName3', 'diffObjID', 'diffObjName', 'diffPosDist', 'diffPosSN', 'dvoRegionID', 'expTime', 'filterID', 'fromPosImage', 'gQfPerfect', 'htmID', 'iQfPerfect', 'ippObjID', 'l', 'lambda', 'nDetections', 'ng', 'ni', 'nr', 'ny', 'nz', 'objInfoFlag', 'obsTime', 'pltScale', 'posAngle', 'processingVersion', 'projectionID', 'qualityFlag', 'rQfPerfect', 'ra', 'raErr', 'randomDiffObjID', 'skyCellID', 'surveyID', 'telluricExt', 'tessID', 'uniquePspsDOid', 'xPos', 'xPosChip', 'xPosErr', 'yPos', 'yPosChip', 'yPosErr', 'yQfPerfect', 'zQfPerfect', 'zoneID', 'zp']
----
dbo.DiffMeta
No description
Columns=['analysisVer', 'batchID', 'cdelt1', 'cdelt2', 'convolveMax', 'crpix1', 'crpix2', 'crval1', 'crval2', 'ctype1', 'ctype2', 'deconvolveMax', 'detectionThreshold', 'diffImageID', 'diffTypeID', 'expTime', 'filterID', 'frameID', 'ippDiffID', 'kernel', 'md5sum', 'mode', 'negImageID', 'normalization', 'numStamps', 'pc001001', 'pc001002', 'pc002001', 'pc002002', 'photoCalID', 'posImageID', 'processingVersion', 'projectionID', 'psfFWHM', 'psfModelID', 'psfTheta', 'psfWidMajor', 'psfWidMinor', 'skyCellID', 'stampDevMean', 'stampDevRMS', 'surveyID', 'tessID']
----
dbo.DiffToImage
No description
Columns=['diffImageID', 'imageID']
----
dbo.DiffType
No description
Columns=['description', 'diffTypeID', 'name']
----
dbo.Filter
No description
Columns=['filterID', 'filterType']
----
dbo.FitModel
No description
Columns=['description', 'fitModelID', 'name', 'param1', 'param10', 'param2', 'param3', 'param4', 'param5', 'param6', 'param7', 'param8', 'param9']
----
dbo.ForcedGalaxyModelView
No description
Columns=['b', 'batchID', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'gGalChisq', 'gGalFlags', 'gGalIndex', 'gGalMag', 'gGalMagErr', 'gGalMajor', 'gGalMajorErr', 'gGalMinor', 'gGalMinorErr', 'gGalPhi', 'galModelType', 'gippDetectID', 'gstackImageID', 'htmID', 'iGalChisq', 'iGalFlags', 'iGalIndex', 'iGalMag', 'iGalMagErr', 'iGalMajor', 'iGalMajorErr', 'iGalMinor', 'iGalMinorErr', 'iGalPhi', 'iippDetectID', 'ippObjID', 'istackImageID', 'l', 'lambda', 'nDetections', 'nFilter', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'processingVersion', 'projectionID', 'qualityFlag', 'rGalChisq', 'rGalFlags', 'rGalIndex', 'rGalMag', 'rGalMagErr', 'rGalMajor', 'rGalMajorErr', 'rGalMinor', 'rGalMinorErr', 'rGalPhi', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'rippDetectID', 'rstackImageID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'yGalChisq', 'yGalFlags', 'yGalIndex', 'yGalMag', 'yGalMagErr', 'yGalMajor', 'yGalMajorErr', 'yGalMinor', 'yGalMinorErr', 'yGalPhi', 'yippDetectID', 'ystackImageID', 'zGalChisq', 'zGalFlags', 'zGalIndex', 'zGalMag', 'zGalMagErr', 'zGalMajor', 'zGalMajorErr', 'zGalMinor', 'zGalMinorErr', 'zGalPhi', 'zippDetectID', 'zoneID', 'zstackImageID']
----
dbo.ForcedGalaxyShape
No description
Columns=['gGalChisq', 'gGalFlags', 'gGalIndex', 'gGalMag', 'gGalMagErr', 'gGalMajor', 'gGalMajorErr', 'gGalMinor', 'gGalMinorErr', 'gGalPhi', 'galModelType', 'gippDetectID', 'gstackImageID', 'iGalChisq', 'iGalFlags', 'iGalIndex', 'iGalMag', 'iGalMagErr', 'iGalMajor', 'iGalMajorErr', 'iGalMinor', 'iGalMinorErr', 'iGalPhi', 'iippDetectID', 'ippObjID', 'istackImageID', 'nFilter', 'objID', 'rGalChisq', 'rGalFlags', 'rGalIndex', 'rGalMag', 'rGalMagErr', 'rGalMajor', 'rGalMajorErr', 'rGalMinor', 'rGalMinorErr', 'rGalPhi', 'randomForcedGalID', 'rippDetectID', 'rstackImageID', 'surveyID', 'uniquePspsFGid', 'yGalChisq', 'yGalFlags', 'yGalIndex', 'yGalMag', 'yGalMagErr', 'yGalMajor', 'yGalMajorErr', 'yGalMinor', 'yGalMinorErr', 'yGalPhi', 'yippDetectID', 'ystackImageID', 'zGalChisq', 'zGalFlags', 'zGalIndex', 'zGalMag', 'zGalMagErr', 'zGalMajor', 'zGalMajorErr', 'zGalMinor', 'zGalMinorErr', 'zGalPhi', 'zippDetectID', 'zstackImageID']
----
dbo.ForcedGalaxyShapeFlags
No description
Columns=['"value"', 'description', 'hexadecimal', 'name']
----
dbo.ForcedMeanLensing
No description
Columns=['batchID', 'gLensObjShearE1', 'gLensObjShearE2', 'gLensObjShearX11', 'gLensObjShearX12', 'gLensObjShearX22', 'gLensObjSmearE1', 'gLensObjSmearE2', 'gLensObjSmearX11', 'gLensObjSmearX12', 'gLensObjSmearX22', 'gLensPSFShearE1', 'gLensPSFShearE2', 'gLensPSFShearX11', 'gLensPSFShearX12', 'gLensPSFShearX22', 'gLensPSFSmearE1', 'gLensPSFSmearE2', 'gLensPSFSmearX11', 'gLensPSFSmearX12', 'gLensPSFSmearX22', 'iLensObjShearE1', 'iLensObjShearE2', 'iLensObjShearX11', 'iLensObjShearX12', 'iLensObjShearX22', 'iLensObjSmearE1', 'iLensObjSmearE2', 'iLensObjSmearX11', 'iLensObjSmearX12', 'iLensObjSmearX22', 'iLensPSFShearE1', 'iLensPSFShearE2', 'iLensPSFShearX11', 'iLensPSFShearX12', 'iLensPSFShearX22', 'iLensPSFSmearE1', 'iLensPSFSmearE2', 'iLensPSFSmearX11', 'iLensPSFSmearX12', 'iLensPSFSmearX22', 'ippObjID', 'nDetections', 'objID', 'processingVersion', 'rLensObjShearE1', 'rLensObjShearE2', 'rLensObjShearX11', 'rLensObjShearX12', 'rLensObjShearX22', 'rLensObjSmearE1', 'rLensObjSmearE2', 'rLensObjSmearX11', 'rLensObjSmearX12', 'rLensObjSmearX22', 'rLensPSFShearE1', 'rLensPSFShearE2', 'rLensPSFShearX11', 'rLensPSFShearX12', 'rLensPSFShearX22', 'rLensPSFSmearE1', 'rLensPSFSmearE2', 'rLensPSFSmearX11', 'rLensPSFSmearX12', 'rLensPSFSmearX22', 'randomForcedObjID', 'uniquePspsFOid', 'yLensObjShearE1', 'yLensObjShearE2', 'yLensObjShearX11', 'yLensObjShearX12', 'yLensObjShearX22', 'yLensObjSmearE1', 'yLensObjSmearE2', 'yLensObjSmearX11', 'yLensObjSmearX12', 'yLensObjSmearX22', 'yLensPSFShearE1', 'yLensPSFShearE2', 'yLensPSFShearX11', 'yLensPSFShearX12', 'yLensPSFShearX22', 'yLensPSFSmearE1', 'yLensPSFSmearE2', 'yLensPSFSmearX11', 'yLensPSFSmearX12', 'yLensPSFSmearX22', 'zLensObjShearE1', 'zLensObjShearE2', 'zLensObjShearX11', 'zLensObjShearX12', 'zLensObjShearX22', 'zLensObjSmearE1', 'zLensObjSmearE2', 'zLensObjSmearX11', 'zLensObjSmearX12', 'zLensObjSmearX22', 'zLensPSFShearE1', 'zLensPSFShearE2', 'zLensPSFShearX11', 'zLensPSFShearX12', 'zLensPSFShearX22', 'zLensPSFSmearE1', 'zLensPSFSmearE2', 'zLensPSFSmearX11', 'zLensPSFSmearX12', 'zLensPSFSmearX22']
----
dbo.ForcedMeanObject
No description
Columns=['batchID', 'gE1', 'gE2', 'gFApFlux', 'gFApFluxErr', 'gFApFluxStd', 'gFApMag', 'gFApMagErr', 'gFKronFlux', 'gFKronFluxErr', 'gFKronFluxStd', 'gFKronMag', 'gFKronMagErr', 'gFPSFFlux', 'gFPSFFluxErr', 'gFPSFFluxStd', 'gFPSFMag', 'gFPSFMagErr', 'gFlags', 'gFmeanMagR5', 'gFmeanMagR5Err', 'gFmeanMagR6', 'gFmeanMagR6Err', 'gFmeanMagR7', 'gFmeanMagR7Err', 'gFmeanflxR5', 'gFmeanflxR5Err', 'gFmeanflxR5Fill', 'gFmeanflxR5Std', 'gFmeanflxR6', 'gFmeanflxR6Err', 'gFmeanflxR6Fill', 'gFmeanflxR6Std', 'gFmeanflxR7', 'gFmeanflxR7Err', 'gFmeanflxR7Fill', 'gFmeanflxR7Std', 'gnIncApFlux', 'gnIncKronFlux', 'gnIncPSFFlux', 'gnIncR5', 'gnIncR6', 'gnIncR7', 'gnTotal', 'iE1', 'iE2', 'iFApFlux', 'iFApFluxErr', 'iFApFluxStd', 'iFApMag', 'iFApMagErr', 'iFKronFlux', 'iFKronFluxErr', 'iFKronFluxStd', 'iFKronMag', 'iFKronMagErr', 'iFPSFFlux', 'iFPSFFluxErr', 'iFPSFFluxStd', 'iFPSFMag', 'iFPSFMagErr', 'iFlags', 'iFmeanMagR5', 'iFmeanMagR5Err', 'iFmeanMagR6', 'iFmeanMagR6Err', 'iFmeanMagR7', 'iFmeanMagR7Err', 'iFmeanflxR5', 'iFmeanflxR5Err', 'iFmeanflxR5Fill', 'iFmeanflxR5Std', 'iFmeanflxR6', 'iFmeanflxR6Err', 'iFmeanflxR6Fill', 'iFmeanflxR6Std', 'iFmeanflxR7', 'iFmeanflxR7Err', 'iFmeanflxR7Fill', 'iFmeanflxR7Std', 'inIncApFlux', 'inIncKronFlux', 'inIncPSFFlux', 'inIncR5', 'inIncR6', 'inIncR7', 'inTotal', 'ippObjID', 'nDetections', 'objID', 'processingVersion', 'rE1', 'rE2', 'rFApFlux', 'rFApFluxErr', 'rFApFluxStd', 'rFApMag', 'rFApMagErr', 'rFKronFlux', 'rFKronFluxErr', 'rFKronFluxStd', 'rFKronMag', 'rFKronMagErr', 'rFPSFFlux', 'rFPSFFluxErr', 'rFPSFFluxStd', 'rFPSFMag', 'rFPSFMagErr', 'rFlags', 'rFmeanMagR5', 'rFmeanMagR5Err', 'rFmeanMagR6', 'rFmeanMagR6Err', 'rFmeanMagR7', 'rFmeanMagR7Err', 'rFmeanflxR5', 'rFmeanflxR5Err', 'rFmeanflxR5Fill', 'rFmeanflxR5Std', 'rFmeanflxR6', 'rFmeanflxR6Err', 'rFmeanflxR6Fill', 'rFmeanflxR6Std', 'rFmeanflxR7', 'rFmeanflxR7Err', 'rFmeanflxR7Fill', 'rFmeanflxR7Std', 'randomForcedObjID', 'rnIncApFlux', 'rnIncKronFlux', 'rnIncPSFFlux', 'rnIncR5', 'rnIncR6', 'rnIncR7', 'rnTotal', 'uniquePspsFOid', 'yE1', 'yE2', 'yFApFlux', 'yFApFluxErr', 'yFApFluxStd', 'yFApMag', 'yFApMagErr', 'yFKronFlux', 'yFKronFluxErr', 'yFKronFluxStd', 'yFKronMag', 'yFKronMagErr', 'yFPSFFlux', 'yFPSFFluxErr', 'yFPSFFluxStd', 'yFPSFMag', 'yFPSFMagErr', 'yFlags', 'yFmeanMagR5', 'yFmeanMagR5Err', 'yFmeanMagR6', 'yFmeanMagR6Err', 'yFmeanMagR7', 'yFmeanMagR7Err', 'yFmeanflxR5', 'yFmeanflxR5Err', 'yFmeanflxR5Fill', 'yFmeanflxR5Std', 'yFmeanflxR6', 'yFmeanflxR6Err', 'yFmeanflxR6Fill', 'yFmeanflxR6Std', 'yFmeanflxR7', 'yFmeanflxR7Err', 'yFmeanflxR7Fill', 'yFmeanflxR7Std', 'ynIncApFlux', 'ynIncKronFlux', 'ynIncPSFFlux', 'ynIncR5', 'ynIncR6', 'ynIncR7', 'ynTotal', 'zE1', 'zE2', 'zFApFlux', 'zFApFluxErr', 'zFApFluxStd', 'zFApMag', 'zFApMagErr', 'zFKronFlux', 'zFKronFluxErr', 'zFKronFluxStd', 'zFKronMag', 'zFKronMagErr', 'zFPSFFlux', 'zFPSFFluxErr', 'zFPSFFluxStd', 'zFPSFMag', 'zFPSFMagErr', 'zFlags', 'zFmeanMagR5', 'zFmeanMagR5Err', 'zFmeanMagR6', 'zFmeanMagR6Err', 'zFmeanMagR7', 'zFmeanMagR7Err', 'zFmeanflxR5', 'zFmeanflxR5Err', 'zFmeanflxR5Fill', 'zFmeanflxR5Std', 'zFmeanflxR6', 'zFmeanflxR6Err', 'zFmeanflxR6Fill', 'zFmeanflxR6Std', 'zFmeanflxR7', 'zFmeanflxR7Err', 'zFmeanflxR7Fill', 'zFmeanflxR7Std', 'znIncApFlux', 'znIncKronFlux', 'znIncPSFFlux', 'znIncR5', 'znIncR6', 'znIncR7', 'znTotal']
----
dbo.ForcedMeanObjectView
No description
Columns=['b', 'batchID', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'gE1', 'gE2', 'gFApFlux', 'gFApFluxErr', 'gFApFluxStd', 'gFKronFlux', 'gFKronFluxErr', 'gFKronFluxStd', 'gFPSFFlux', 'gFPSFFluxErr', 'gFPSFFluxStd', 'gFlags', 'gFmeanflxR5', 'gFmeanflxR5Err', 'gFmeanflxR5Fill', 'gFmeanflxR5Std', 'gFmeanflxR6', 'gFmeanflxR6Err', 'gFmeanflxR6Fill', 'gFmeanflxR6Std', 'gFmeanflxR7', 'gFmeanflxR7Err', 'gFmeanflxR7Fill', 'gFmeanflxR7Std', 'gnIncApFlux', 'gnIncKronFlux', 'gnIncPSFFlux', 'gnIncR5', 'gnIncR6', 'gnIncR7', 'gnTotal', 'htmID', 'iE1', 'iE2', 'iFApFlux', 'iFApFluxErr', 'iFApFluxStd', 'iFKronFlux', 'iFKronFluxErr', 'iFKronFluxStd', 'iFPSFFlux', 'iFPSFFluxErr', 'iFPSFFluxStd', 'iFlags', 'iFmeanflxR5', 'iFmeanflxR5Err', 'iFmeanflxR5Fill', 'iFmeanflxR5Std', 'iFmeanflxR6', 'iFmeanflxR6Err', 'iFmeanflxR6Fill', 'iFmeanflxR6Std', 'iFmeanflxR7', 'iFmeanflxR7Err', 'iFmeanflxR7Fill', 'iFmeanflxR7Std', 'inIncApFlux', 'inIncKronFlux', 'inIncPSFFlux', 'inIncR5', 'inIncR6', 'inIncR7', 'inTotal', 'ippObjID', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'processingVersion', 'projectionID', 'qualityFlag', 'rE1', 'rE2', 'rFApFlux', 'rFApFluxErr', 'rFApFluxStd', 'rFKronFlux', 'rFKronFluxErr', 'rFKronFluxStd', 'rFPSFFlux', 'rFPSFFluxErr', 'rFPSFFluxStd', 'rFlags', 'rFmeanflxR5', 'rFmeanflxR5Err', 'rFmeanflxR5Fill', 'rFmeanflxR5Std', 'rFmeanflxR6', 'rFmeanflxR6Err', 'rFmeanflxR6Fill', 'rFmeanflxR6Std', 'rFmeanflxR7', 'rFmeanflxR7Err', 'rFmeanflxR7Fill', 'rFmeanflxR7Std', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'rnIncApFlux', 'rnIncKronFlux', 'rnIncPSFFlux', 'rnIncR5', 'rnIncR6', 'rnIncR7', 'rnTotal', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'yE1', 'yE2', 'yFApFlux', 'yFApFluxErr', 'yFApFluxStd', 'yFKronFlux', 'yFKronFluxErr', 'yFKronFluxStd', 'yFPSFFlux', 'yFPSFFluxErr', 'yFPSFFluxStd', 'yFlags', 'yFmeanflxR5', 'yFmeanflxR5Err', 'yFmeanflxR5Fill', 'yFmeanflxR5Std', 'yFmeanflxR6', 'yFmeanflxR6Err', 'yFmeanflxR6Fill', 'yFmeanflxR6Std', 'yFmeanflxR7', 'yFmeanflxR7Err', 'yFmeanflxR7Fill', 'yFmeanflxR7Std', 'ynIncApFlux', 'ynIncKronFlux', 'ynIncPSFFlux', 'ynIncR5', 'ynIncR6', 'ynIncR7', 'ynTotal', 'zE1', 'zE2', 'zFApFlux', 'zFApFluxErr', 'zFApFluxStd', 'zFKronFlux', 'zFKronFluxErr', 'zFKronFluxStd', 'zFPSFFlux', 'zFPSFFluxErr', 'zFPSFFluxStd', 'zFlags', 'zFmeanflxR5', 'zFmeanflxR5Err', 'zFmeanflxR5Fill', 'zFmeanflxR5Std', 'zFmeanflxR6', 'zFmeanflxR6Err', 'zFmeanflxR6Fill', 'zFmeanflxR6Std', 'zFmeanflxR7', 'zFmeanflxR7Err', 'zFmeanflxR7Fill', 'zFmeanflxR7Std', 'znIncApFlux', 'znIncKronFlux', 'znIncPSFFlux', 'znIncR5', 'znIncR6', 'znIncR7', 'znTotal', 'zoneID']
----
dbo.ForcedWarpExtended
No description
Columns=['detectID', 'dvoRegionID', 'filterID', 'flxR5', 'flxR5Err', 'flxR5Fill', 'flxR5Std', 'flxR6', 'flxR6Err', 'flxR6Fill', 'flxR6Std', 'flxR7', 'flxR7Err', 'flxR7Fill', 'flxR7Std', 'forcedWarpID', 'ippDetectID', 'ippObjID', 'objID', 'obsTime', 'projectionID', 'randomWarpID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsFWid']
----
dbo.ForcedWarpLensing
No description
Columns=['detectID', 'dvoRegionID', 'filterID', 'forcedWarpID', 'ippDetectID', 'ippObjID', 'lensObjShearE1', 'lensObjShearE2', 'lensObjShearX11', 'lensObjShearX12', 'lensObjShearX22', 'lensObjSmearE1', 'lensObjSmearE2', 'lensObjSmearX11', 'lensObjSmearX12', 'lensObjSmearX22', 'lensPSFShearE1', 'lensPSFShearE2', 'lensPSFShearX11', 'lensPSFShearX12', 'lensPSFShearX22', 'lensPSFSmearE1', 'lensPSFSmearE2', 'lensPSFSmearX11', 'lensPSFSmearX12', 'lensPSFSmearX22', 'objID', 'obsTime', 'projectionID', 'psfE1', 'psfE2', 'randomWarpID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsFWid']
----
dbo.ForcedWarpMasked
No description
Columns=['dvoRegionID', 'filterID', 'forcedSummaryID', 'forcedWarpID', 'ippDetectID', 'ippObjID', 'objID', 'obsTime', 'projectionID', 'randomWarpID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsFWid']
----
dbo.ForcedWarpMeasurement
No description
Columns=['FapFillF', 'FapFlux', 'FapFluxErr', 'FapRadius', 'FccdID', 'FinfoFlag', 'FinfoFlag2', 'FinfoFlag3', 'FkronFlux', 'FkronFluxErr', 'FkronRad', 'FmomentM3C', 'FmomentM3S', 'FmomentM4C', 'FmomentM4S', 'FmomentR1', 'FmomentRH', 'FmomentXX', 'FmomentXY', 'FmomentYY', 'FpsfChiSq', 'FpsfCore', 'FpsfFlux', 'FpsfFluxErr', 'FpsfMajorFWHM', 'FpsfMinorFWHM', 'FpsfQf', 'FpsfQfPerfect', 'FpsfTheta', 'Fsky', 'FskyErr', 'airMass', 'detectID', 'dvoRegionID', 'expTime', 'filterID', 'forcedSummaryID', 'forcedWarpID', 'ippDetectID', 'ippObjID', 'objID', 'obsTime', 'processingVersion', 'projectionID', 'randomWarpID', 'skyCellID', 'surveyID', 'telluricExt', 'tessID', 'uniquePspsFWid', 'xPosChip', 'yPosChip', 'zp']
----
dbo.ForcedWarpMeta
No description
Columns=['analysisVer', 'batchID', 'cdelt1', 'cdelt2', 'crpix1', 'crpix2', 'crval1', 'crval2', 'ctype1', 'ctype2', 'expTime', 'filterID', 'forcedWarpID', 'frameID', 'ippSkycalID', 'md5sum', 'pc001001', 'pc001002', 'pc002001', 'pc002002', 'photoCalID', 'photoZero', 'processingVersion', 'projectionID', 'psfFWHM', 'psfModelID', 'psfTheta', 'psfWidMajor', 'psfWidMinor', 'recalAstroScatX', 'recalAstroScatY', 'recalNAstroStars', 'recalNPhotoStars', 'recalphotoScat', 'skyCellID', 'stackMetaID', 'surveyID', 'tessID']
----
dbo.ForcedWarpToImage
No description
Columns=['forcedWarpID', 'imageID']
----
dbo.ImageDetEffMeta
No description
Columns=['counts01', 'counts02', 'counts03', 'counts04', 'counts05', 'counts06', 'counts07', 'counts08', 'counts09', 'counts10', 'counts11', 'counts12', 'counts13', 'diffMean01', 'diffMean02', 'diffMean03', 'diffMean04', 'diffMean05', 'diffMean06', 'diffMean07', 'diffMean08', 'diffMean09', 'diffMean10', 'diffMean11', 'diffMean12', 'diffMean13', 'diffStdev01', 'diffStdev02', 'diffStdev03', 'diffStdev04', 'diffStdev05', 'diffStdev06', 'diffStdev07', 'diffStdev08', 'diffStdev09', 'diffStdev10', 'diffStdev11', 'diffStdev12', 'diffStdev13', 'errMean01', 'errMean02', 'errMean03', 'errMean04', 'errMean05', 'errMean06', 'errMean07', 'errMean08', 'errMean09', 'errMean10', 'errMean11', 'errMean12', 'errMean13', 'frameID', 'imageID', 'magref', 'nInjected', 'offset01', 'offset02', 'offset03', 'offset04', 'offset05', 'offset06', 'offset07', 'offset08', 'offset09', 'offset10', 'offset11', 'offset12', 'offset13']
----
dbo.ImageFlags
No description
Columns=['"value"', 'description', 'hexadecimal', 'name']
----
dbo.ImageMeta
No description
Columns=['apResid', 'astroScat', 'bias', 'biasScat', 'ccdID', 'cdelt1', 'cdelt2', 'crpix1', 'crpix2', 'crval1', 'crval2', 'ctype1', 'ctype2', 'dapResid', 'detectionThreshold', 'detectorID', 'detrend1', 'detrend2', 'detrend3', 'detrend4', 'detrend5', 'detrend6', 'detrend7', 'detrend8', 'filterID', 'frameID', 'imageID', 'momentM2C', 'momentM2S', 'momentM3', 'momentM4', 'momentMajor', 'momentMinor', 'nAstroRef', 'nAxis1', 'nAxis2', 'nDetect', 'nPhotoRef', 'pc001001', 'pc001002', 'pc002001', 'pc002002', 'pca1x0y2', 'pca1x0y3', 'pca1x1y1', 'pca1x1y2', 'pca1x2y0', 'pca1x2y1', 'pca1x3y0', 'pca2x0y2', 'pca2x0y3', 'pca2x1y1', 'pca2x1y2', 'pca2x2y0', 'pca2x2y1', 'pca2x3y0', 'photoCalID', 'photoScat', 'photoZero', 'polyOrder', 'processingVersion', 'psfFWHM', 'psfModelID', 'psfTheta', 'psfWidMajor', 'psfWidMinor', 'qaFlags', 'recalAstroScatX', 'recalAstroScatY', 'recalNAstroStars', 'recalNPhotoStars', 'recalphotoScat', 'sky', 'skyScat']
----
dbo.MeanObject
No description
Columns=['gFlags', 'gMeanApMag', 'gMeanApMagErr', 'gMeanApMagNpt', 'gMeanApMagStd', 'gMeanKronMag', 'gMeanKronMagErr', 'gMeanKronMagNpt', 'gMeanKronMagStd', 'gMeanPSFMag', 'gMeanPSFMagErr', 'gMeanPSFMagMax', 'gMeanPSFMagMin', 'gMeanPSFMagNpt', 'gMeanPSFMagStd', 'gQfPerfect', 'iFlags', 'iMeanApMag', 'iMeanApMagErr', 'iMeanApMagNpt', 'iMeanApMagStd', 'iMeanKronMag', 'iMeanKronMagErr', 'iMeanKronMagNpt', 'iMeanKronMagStd', 'iMeanPSFMag', 'iMeanPSFMagErr', 'iMeanPSFMagMax', 'iMeanPSFMagMin', 'iMeanPSFMagNpt', 'iMeanPSFMagStd', 'iQfPerfect', 'objID', 'rFlags', 'rMeanApMag', 'rMeanApMagErr', 'rMeanApMagNpt', 'rMeanApMagStd', 'rMeanKronMag', 'rMeanKronMagErr', 'rMeanKronMagNpt', 'rMeanKronMagStd', 'rMeanPSFMag', 'rMeanPSFMagErr', 'rMeanPSFMagMax', 'rMeanPSFMagMin', 'rMeanPSFMagNpt', 'rMeanPSFMagStd', 'rQfPerfect', 'uniquePspsOBid', 'yFlags', 'yMeanApMag', 'yMeanApMagErr', 'yMeanApMagNpt', 'yMeanApMagStd', 'yMeanKronMag', 'yMeanKronMagErr', 'yMeanKronMagNpt', 'yMeanKronMagStd', 'yMeanPSFMag', 'yMeanPSFMagErr', 'yMeanPSFMagMax', 'yMeanPSFMagMin', 'yMeanPSFMagNpt', 'yMeanPSFMagStd', 'yQfPerfect', 'zFlags', 'zMeanApMag', 'zMeanApMagErr', 'zMeanApMagNpt', 'zMeanApMagStd', 'zMeanKronMag', 'zMeanKronMagErr', 'zMeanKronMagNpt', 'zMeanKronMagStd', 'zMeanPSFMag', 'zMeanPSFMagErr', 'zMeanPSFMagMax', 'zMeanPSFMagMin', 'zMeanPSFMagNpt', 'zMeanPSFMagStd', 'zQfPerfect']
----
dbo.MeanObjectView
No description
Columns=['b', 'batchID', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'gFlags', 'gMeanApMag', 'gMeanApMagErr', 'gMeanApMagNpt', 'gMeanApMagStd', 'gMeanKronMag', 'gMeanKronMagErr', 'gMeanKronMagNpt', 'gMeanKronMagStd', 'gMeanPSFMag', 'gMeanPSFMagErr', 'gMeanPSFMagMax', 'gMeanPSFMagMin', 'gMeanPSFMagNpt', 'gMeanPSFMagStd', 'gQfPerfect', 'htmID', 'iFlags', 'iMeanApMag', 'iMeanApMagErr', 'iMeanApMagNpt', 'iMeanApMagStd', 'iMeanKronMag', 'iMeanKronMagErr', 'iMeanKronMagNpt', 'iMeanKronMagStd', 'iMeanPSFMag', 'iMeanPSFMagErr', 'iMeanPSFMagMax', 'iMeanPSFMagMin', 'iMeanPSFMagNpt', 'iMeanPSFMagStd', 'iQfPerfect', 'ippObjID', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'processingVersion', 'projectionID', 'qualityFlag', 'rFlags', 'rMeanApMag', 'rMeanApMagErr', 'rMeanApMagNpt', 'rMeanApMagStd', 'rMeanKronMag', 'rMeanKronMagErr', 'rMeanKronMagNpt', 'rMeanKronMagStd', 'rMeanPSFMag', 'rMeanPSFMagErr', 'rMeanPSFMagMax', 'rMeanPSFMagMin', 'rMeanPSFMagNpt', 'rMeanPSFMagStd', 'rQfPerfect', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'yFlags', 'yMeanApMag', 'yMeanApMagErr', 'yMeanApMagNpt', 'yMeanApMagStd', 'yMeanKronMag', 'yMeanKronMagErr', 'yMeanKronMagNpt', 'yMeanKronMagStd', 'yMeanPSFMag', 'yMeanPSFMagErr', 'yMeanPSFMagMax', 'yMeanPSFMagMin', 'yMeanPSFMagNpt', 'yMeanPSFMagStd', 'yQfPerfect', 'zFlags', 'zMeanApMag', 'zMeanApMagErr', 'zMeanApMagNpt', 'zMeanApMagStd', 'zMeanKronMag', 'zMeanKronMagErr', 'zMeanKronMagNpt', 'zMeanKronMagStd', 'zMeanPSFMag', 'zMeanPSFMagErr', 'zMeanPSFMagMax', 'zMeanPSFMagMin', 'zMeanPSFMagNpt', 'zMeanPSFMagStd', 'zQfPerfect', 'zoneID']
----
dbo.ObjectFilterFlags
No description
Columns=['"value"', 'description', 'hexadecimal', 'name']
----
dbo.ObjectInfoFlags
No description
Columns=['"value"', 'description', 'hexadecimal', 'name']
----
dbo.ObjectQualityFlags
No description
Columns=['"value"', 'description', 'hexadecimal', 'name']
----
dbo.ObjectThin
No description
Columns=['b', 'batchID', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'htmID', 'ippObjID', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'objNameHMS', 'objPopularName', 'posMeanChisq', 'processingVersion', 'projectionID', 'qualityFlag', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'zoneID']
----
dbo.PhotoCal
No description
Columns=['AB', 'colorExtn', 'colorterm', 'extinction', 'filterID', 'orphanCalColor', 'orphanCalColorErr', 'photoCalID', 'photoCodeDesc', 'startDate', 'zeropoint']
----
dbo.StackApFlx
No description
Columns=['bestDetection', 'gc6flxR5', 'gc6flxR5Err', 'gc6flxR5Fill', 'gc6flxR5Std', 'gc6flxR6', 'gc6flxR6Err', 'gc6flxR6Fill', 'gc6flxR6Std', 'gc6flxR7', 'gc6flxR7Err', 'gc6flxR7Fill', 'gc6flxR7Std', 'gc8flxR5', 'gc8flxR5Err', 'gc8flxR5Fill', 'gc8flxR5Std', 'gc8flxR6', 'gc8flxR6Err', 'gc8flxR6Fill', 'gc8flxR6Std', 'gc8flxR7', 'gc8flxR7Err', 'gc8flxR7Fill', 'gc8flxR7Std', 'gflxR5', 'gflxR5Err', 'gflxR5Fill', 'gflxR5Std', 'gflxR6', 'gflxR6Err', 'gflxR6Fill', 'gflxR6Std', 'gflxR7', 'gflxR7Err', 'gflxR7Fill', 'gflxR7Std', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'ic6flxR5', 'ic6flxR5Err', 'ic6flxR5Fill', 'ic6flxR5Std', 'ic6flxR6', 'ic6flxR6Err', 'ic6flxR6Fill', 'ic6flxR6Std', 'ic6flxR7', 'ic6flxR7Err', 'ic6flxR7Fill', 'ic6flxR7Std', 'ic8flxR5', 'ic8flxR5Err', 'ic8flxR5Fill', 'ic8flxR5Std', 'ic8flxR6', 'ic8flxR6Err', 'ic8flxR6Fill', 'ic8flxR6Std', 'ic8flxR7', 'ic8flxR7Err', 'ic8flxR7Fill', 'ic8flxR7Std', 'iflxR5', 'iflxR5Err', 'iflxR5Fill', 'iflxR5Std', 'iflxR6', 'iflxR6Err', 'iflxR6Fill', 'iflxR6Std', 'iflxR7', 'iflxR7Err', 'iflxR7Fill', 'iflxR7Std', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'objID', 'primaryDetection', 'randomStackObjID', 'rc6flxR5', 'rc6flxR5Err', 'rc6flxR5Fill', 'rc6flxR5Std', 'rc6flxR6', 'rc6flxR6Err', 'rc6flxR6Fill', 'rc6flxR6Std', 'rc6flxR7', 'rc6flxR7Err', 'rc6flxR7Fill', 'rc6flxR7Std', 'rc8flxR5', 'rc8flxR5Err', 'rc8flxR5Fill', 'rc8flxR5Std', 'rc8flxR6', 'rc8flxR6Err', 'rc8flxR6Fill', 'rc8flxR6Std', 'rc8flxR7', 'rc8flxR7Err', 'rc8flxR7Fill', 'rc8flxR7Std', 'rflxR5', 'rflxR5Err', 'rflxR5Fill', 'rflxR5Std', 'rflxR6', 'rflxR6Err', 'rflxR6Fill', 'rflxR6Std', 'rflxR7', 'rflxR7Err', 'rflxR7Fill', 'rflxR7Std', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'uniquePspsSTid', 'yc6flxR5', 'yc6flxR5Err', 'yc6flxR5Fill', 'yc6flxR5Std', 'yc6flxR6', 'yc6flxR6Err', 'yc6flxR6Fill', 'yc6flxR6Std', 'yc6flxR7', 'yc6flxR7Err', 'yc6flxR7Fill', 'yc6flxR7Std', 'yc8flxR5', 'yc8flxR5Err', 'yc8flxR5Fill', 'yc8flxR5Std', 'yc8flxR6', 'yc8flxR6Err', 'yc8flxR6Fill', 'yc8flxR6Std', 'yc8flxR7', 'yc8flxR7Err', 'yc8flxR7Fill', 'yc8flxR7Std', 'yflxR5', 'yflxR5Err', 'yflxR5Fill', 'yflxR5Std', 'yflxR6', 'yflxR6Err', 'yflxR6Fill', 'yflxR6Std', 'yflxR7', 'yflxR7Err', 'yflxR7Fill', 'yflxR7Std', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zc6flxR5', 'zc6flxR5Err', 'zc6flxR5Fill', 'zc6flxR5Std', 'zc6flxR6', 'zc6flxR6Err', 'zc6flxR6Fill', 'zc6flxR6Std', 'zc6flxR7', 'zc6flxR7Err', 'zc6flxR7Fill', 'zc6flxR7Std', 'zc8flxR5', 'zc8flxR5Err', 'zc8flxR5Fill', 'zc8flxR5Std', 'zc8flxR6', 'zc8flxR6Err', 'zc8flxR6Fill', 'zc8flxR6Std', 'zc8flxR7', 'zc8flxR7Err', 'zc8flxR7Fill', 'zc8flxR7Std', 'zflxR5', 'zflxR5Err', 'zflxR5Fill', 'zflxR5Std', 'zflxR6', 'zflxR6Err', 'zflxR6Fill', 'zflxR6Std', 'zflxR7', 'zflxR7Err', 'zflxR7Fill', 'zflxR7Std', 'zippDetectID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackApFlxExGalCon6
No description
Columns=['bestDetection', 'gc6flxR10', 'gc6flxR10Err', 'gc6flxR10Fill', 'gc6flxR10Std', 'gc6flxR11', 'gc6flxR11Err', 'gc6flxR11Fill', 'gc6flxR11Std', 'gc6flxR3', 'gc6flxR3Err', 'gc6flxR3Fill', 'gc6flxR3Std', 'gc6flxR4', 'gc6flxR4Err', 'gc6flxR4Fill', 'gc6flxR4Std', 'gc6flxR5', 'gc6flxR5Err', 'gc6flxR5Fill', 'gc6flxR5Std', 'gc6flxR6', 'gc6flxR6Err', 'gc6flxR6Fill', 'gc6flxR6Std', 'gc6flxR7', 'gc6flxR7Err', 'gc6flxR7Fill', 'gc6flxR7Std', 'gc6flxR8', 'gc6flxR8Err', 'gc6flxR8Fill', 'gc6flxR8Std', 'gc6flxR9', 'gc6flxR9Err', 'gc6flxR9Fill', 'gc6flxR9Std', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'ic6flxR10', 'ic6flxR10Err', 'ic6flxR10Fill', 'ic6flxR10Std', 'ic6flxR11', 'ic6flxR11Err', 'ic6flxR11Fill', 'ic6flxR11Std', 'ic6flxR3', 'ic6flxR3Err', 'ic6flxR3Fill', 'ic6flxR3Std', 'ic6flxR4', 'ic6flxR4Err', 'ic6flxR4Fill', 'ic6flxR4Std', 'ic6flxR5', 'ic6flxR5Err', 'ic6flxR5Fill', 'ic6flxR5Std', 'ic6flxR6', 'ic6flxR6Err', 'ic6flxR6Fill', 'ic6flxR6Std', 'ic6flxR7', 'ic6flxR7Err', 'ic6flxR7Fill', 'ic6flxR7Std', 'ic6flxR8', 'ic6flxR8Err', 'ic6flxR8Fill', 'ic6flxR8Std', 'ic6flxR9', 'ic6flxR9Err', 'ic6flxR9Fill', 'ic6flxR9Std', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'objID', 'primaryDetection', 'randomStackObjID', 'rc6flxR10', 'rc6flxR10Err', 'rc6flxR10Fill', 'rc6flxR10Std', 'rc6flxR11', 'rc6flxR11Err', 'rc6flxR11Fill', 'rc6flxR11Std', 'rc6flxR3', 'rc6flxR3Err', 'rc6flxR3Fill', 'rc6flxR3Std', 'rc6flxR4', 'rc6flxR4Err', 'rc6flxR4Fill', 'rc6flxR4Std', 'rc6flxR5', 'rc6flxR5Err', 'rc6flxR5Fill', 'rc6flxR5Std', 'rc6flxR6', 'rc6flxR6Err', 'rc6flxR6Fill', 'rc6flxR6Std', 'rc6flxR7', 'rc6flxR7Err', 'rc6flxR7Fill', 'rc6flxR7Std', 'rc6flxR8', 'rc6flxR8Err', 'rc6flxR8Fill', 'rc6flxR8Std', 'rc6flxR9', 'rc6flxR9Err', 'rc6flxR9Fill', 'rc6flxR9Std', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'uniquePspsSTid', 'yc6flxR10', 'yc6flxR10Err', 'yc6flxR10Fill', 'yc6flxR10Std', 'yc6flxR11', 'yc6flxR11Err', 'yc6flxR11Fill', 'yc6flxR11Std', 'yc6flxR3', 'yc6flxR3Err', 'yc6flxR3Fill', 'yc6flxR3Std', 'yc6flxR4', 'yc6flxR4Err', 'yc6flxR4Fill', 'yc6flxR4Std', 'yc6flxR5', 'yc6flxR5Err', 'yc6flxR5Fill', 'yc6flxR5Std', 'yc6flxR6', 'yc6flxR6Err', 'yc6flxR6Fill', 'yc6flxR6Std', 'yc6flxR7', 'yc6flxR7Err', 'yc6flxR7Fill', 'yc6flxR7Std', 'yc6flxR8', 'yc6flxR8Err', 'yc6flxR8Fill', 'yc6flxR8Std', 'yc6flxR9', 'yc6flxR9Err', 'yc6flxR9Fill', 'yc6flxR9Std', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zc6flxR10', 'zc6flxR10Err', 'zc6flxR10Fill', 'zc6flxR10Std', 'zc6flxR11', 'zc6flxR11Err', 'zc6flxR11Fill', 'zc6flxR11Std', 'zc6flxR3', 'zc6flxR3Err', 'zc6flxR3Fill', 'zc6flxR3Std', 'zc6flxR4', 'zc6flxR4Err', 'zc6flxR4Fill', 'zc6flxR4Std', 'zc6flxR5', 'zc6flxR5Err', 'zc6flxR5Fill', 'zc6flxR5Std', 'zc6flxR6', 'zc6flxR6Err', 'zc6flxR6Fill', 'zc6flxR6Std', 'zc6flxR7', 'zc6flxR7Err', 'zc6flxR7Fill', 'zc6flxR7Std', 'zc6flxR8', 'zc6flxR8Err', 'zc6flxR8Fill', 'zc6flxR8Std', 'zc6flxR9', 'zc6flxR9Err', 'zc6flxR9Fill', 'zc6flxR9Std', 'zippDetectID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackApFlxExGalCon6ObjectView
No description
Columns=['b', 'batchID', 'bestDetection', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'gc6flxR10', 'gc6flxR10Err', 'gc6flxR10Fill', 'gc6flxR10Std', 'gc6flxR11', 'gc6flxR11Err', 'gc6flxR11Fill', 'gc6flxR11Std', 'gc6flxR3', 'gc6flxR3Err', 'gc6flxR3Fill', 'gc6flxR3Std', 'gc6flxR4', 'gc6flxR4Err', 'gc6flxR4Fill', 'gc6flxR4Std', 'gc6flxR5', 'gc6flxR5Err', 'gc6flxR5Fill', 'gc6flxR5Std', 'gc6flxR6', 'gc6flxR6Err', 'gc6flxR6Fill', 'gc6flxR6Std', 'gc6flxR7', 'gc6flxR7Err', 'gc6flxR7Fill', 'gc6flxR7Std', 'gc6flxR8', 'gc6flxR8Err', 'gc6flxR8Fill', 'gc6flxR8Std', 'gc6flxR9', 'gc6flxR9Err', 'gc6flxR9Fill', 'gc6flxR9Std', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'htmID', 'ic6flxR10', 'ic6flxR10Err', 'ic6flxR10Fill', 'ic6flxR10Std', 'ic6flxR11', 'ic6flxR11Err', 'ic6flxR11Fill', 'ic6flxR11Std', 'ic6flxR3', 'ic6flxR3Err', 'ic6flxR3Fill', 'ic6flxR3Std', 'ic6flxR4', 'ic6flxR4Err', 'ic6flxR4Fill', 'ic6flxR4Std', 'ic6flxR5', 'ic6flxR5Err', 'ic6flxR5Fill', 'ic6flxR5Std', 'ic6flxR6', 'ic6flxR6Err', 'ic6flxR6Fill', 'ic6flxR6Std', 'ic6flxR7', 'ic6flxR7Err', 'ic6flxR7Fill', 'ic6flxR7Std', 'ic6flxR8', 'ic6flxR8Err', 'ic6flxR8Fill', 'ic6flxR8Std', 'ic6flxR9', 'ic6flxR9Err', 'ic6flxR9Fill', 'ic6flxR9Std', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'primaryDetection', 'processingVersion', 'projectionID', 'qualityFlag', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'rc6flxR10', 'rc6flxR10Err', 'rc6flxR10Fill', 'rc6flxR10Std', 'rc6flxR11', 'rc6flxR11Err', 'rc6flxR11Fill', 'rc6flxR11Std', 'rc6flxR3', 'rc6flxR3Err', 'rc6flxR3Fill', 'rc6flxR3Std', 'rc6flxR4', 'rc6flxR4Err', 'rc6flxR4Fill', 'rc6flxR4Std', 'rc6flxR5', 'rc6flxR5Err', 'rc6flxR5Fill', 'rc6flxR5Std', 'rc6flxR6', 'rc6flxR6Err', 'rc6flxR6Fill', 'rc6flxR6Std', 'rc6flxR7', 'rc6flxR7Err', 'rc6flxR7Fill', 'rc6flxR7Std', 'rc6flxR8', 'rc6flxR8Err', 'rc6flxR8Fill', 'rc6flxR8Std', 'rc6flxR9', 'rc6flxR9Err', 'rc6flxR9Fill', 'rc6flxR9Std', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'yc6flxR10', 'yc6flxR10Err', 'yc6flxR10Fill', 'yc6flxR10Std', 'yc6flxR11', 'yc6flxR11Err', 'yc6flxR11Fill', 'yc6flxR11Std', 'yc6flxR3', 'yc6flxR3Err', 'yc6flxR3Fill', 'yc6flxR3Std', 'yc6flxR4', 'yc6flxR4Err', 'yc6flxR4Fill', 'yc6flxR4Std', 'yc6flxR5', 'yc6flxR5Err', 'yc6flxR5Fill', 'yc6flxR5Std', 'yc6flxR6', 'yc6flxR6Err', 'yc6flxR6Fill', 'yc6flxR6Std', 'yc6flxR7', 'yc6flxR7Err', 'yc6flxR7Fill', 'yc6flxR7Std', 'yc6flxR8', 'yc6flxR8Err', 'yc6flxR8Fill', 'yc6flxR8Std', 'yc6flxR9', 'yc6flxR9Err', 'yc6flxR9Fill', 'yc6flxR9Std', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zc6flxR10', 'zc6flxR10Err', 'zc6flxR10Fill', 'zc6flxR10Std', 'zc6flxR11', 'zc6flxR11Err', 'zc6flxR11Fill', 'zc6flxR11Std', 'zc6flxR3', 'zc6flxR3Err', 'zc6flxR3Fill', 'zc6flxR3Std', 'zc6flxR4', 'zc6flxR4Err', 'zc6flxR4Fill', 'zc6flxR4Std', 'zc6flxR5', 'zc6flxR5Err', 'zc6flxR5Fill', 'zc6flxR5Std', 'zc6flxR6', 'zc6flxR6Err', 'zc6flxR6Fill', 'zc6flxR6Std', 'zc6flxR7', 'zc6flxR7Err', 'zc6flxR7Fill', 'zc6flxR7Std', 'zc6flxR8', 'zc6flxR8Err', 'zc6flxR8Fill', 'zc6flxR8Std', 'zc6flxR9', 'zc6flxR9Err', 'zc6flxR9Fill', 'zc6flxR9Std', 'zippDetectID', 'zoneID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackApFlxExGalCon8
No description
Columns=['bestDetection', 'gc8flxR10', 'gc8flxR10Err', 'gc8flxR10Fill', 'gc8flxR10Std', 'gc8flxR11', 'gc8flxR11Err', 'gc8flxR11Fill', 'gc8flxR11Std', 'gc8flxR3', 'gc8flxR3Err', 'gc8flxR3Fill', 'gc8flxR3Std', 'gc8flxR4', 'gc8flxR4Err', 'gc8flxR4Fill', 'gc8flxR4Std', 'gc8flxR5', 'gc8flxR5Err', 'gc8flxR5Fill', 'gc8flxR5Std', 'gc8flxR6', 'gc8flxR6Err', 'gc8flxR6Fill', 'gc8flxR6Std', 'gc8flxR7', 'gc8flxR7Err', 'gc8flxR7Fill', 'gc8flxR7Std', 'gc8flxR8', 'gc8flxR8Err', 'gc8flxR8Fill', 'gc8flxR8Std', 'gc8flxR9', 'gc8flxR9Err', 'gc8flxR9Fill', 'gc8flxR9Std', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'ic8flxR10', 'ic8flxR10Err', 'ic8flxR10Fill', 'ic8flxR10Std', 'ic8flxR11', 'ic8flxR11Err', 'ic8flxR11Fill', 'ic8flxR11Std', 'ic8flxR3', 'ic8flxR3Err', 'ic8flxR3Fill', 'ic8flxR3Std', 'ic8flxR4', 'ic8flxR4Err', 'ic8flxR4Fill', 'ic8flxR4Std', 'ic8flxR5', 'ic8flxR5Err', 'ic8flxR5Fill', 'ic8flxR5Std', 'ic8flxR6', 'ic8flxR6Err', 'ic8flxR6Fill', 'ic8flxR6Std', 'ic8flxR7', 'ic8flxR7Err', 'ic8flxR7Fill', 'ic8flxR7Std', 'ic8flxR8', 'ic8flxR8Err', 'ic8flxR8Fill', 'ic8flxR8Std', 'ic8flxR9', 'ic8flxR9Err', 'ic8flxR9Fill', 'ic8flxR9Std', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'objID', 'primaryDetection', 'randomStackObjID', 'rc8flxR10', 'rc8flxR10Err', 'rc8flxR10Fill', 'rc8flxR10Std', 'rc8flxR11', 'rc8flxR11Err', 'rc8flxR11Fill', 'rc8flxR11Std', 'rc8flxR3', 'rc8flxR3Err', 'rc8flxR3Fill', 'rc8flxR3Std', 'rc8flxR4', 'rc8flxR4Err', 'rc8flxR4Fill', 'rc8flxR4Std', 'rc8flxR5', 'rc8flxR5Err', 'rc8flxR5Fill', 'rc8flxR5Std', 'rc8flxR6', 'rc8flxR6Err', 'rc8flxR6Fill', 'rc8flxR6Std', 'rc8flxR7', 'rc8flxR7Err', 'rc8flxR7Fill', 'rc8flxR7Std', 'rc8flxR8', 'rc8flxR8Err', 'rc8flxR8Fill', 'rc8flxR8Std', 'rc8flxR9', 'rc8flxR9Err', 'rc8flxR9Fill', 'rc8flxR9Std', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'uniquePspsSTid', 'yc8flxR10', 'yc8flxR10Err', 'yc8flxR10Fill', 'yc8flxR10Std', 'yc8flxR11', 'yc8flxR11Err', 'yc8flxR11Fill', 'yc8flxR11Std', 'yc8flxR3', 'yc8flxR3Err', 'yc8flxR3Fill', 'yc8flxR3Std', 'yc8flxR4', 'yc8flxR4Err', 'yc8flxR4Fill', 'yc8flxR4Std', 'yc8flxR5', 'yc8flxR5Err', 'yc8flxR5Fill', 'yc8flxR5Std', 'yc8flxR6', 'yc8flxR6Err', 'yc8flxR6Fill', 'yc8flxR6Std', 'yc8flxR7', 'yc8flxR7Err', 'yc8flxR7Fill', 'yc8flxR7Std', 'yc8flxR8', 'yc8flxR8Err', 'yc8flxR8Fill', 'yc8flxR8Std', 'yc8flxR9', 'yc8flxR9Err', 'yc8flxR9Fill', 'yc8flxR9Std', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zc8flxR10', 'zc8flxR10Err', 'zc8flxR10Fill', 'zc8flxR10Std', 'zc8flxR11', 'zc8flxR11Err', 'zc8flxR11Fill', 'zc8flxR11Std', 'zc8flxR3', 'zc8flxR3Err', 'zc8flxR3Fill', 'zc8flxR3Std', 'zc8flxR4', 'zc8flxR4Err', 'zc8flxR4Fill', 'zc8flxR4Std', 'zc8flxR5', 'zc8flxR5Err', 'zc8flxR5Fill', 'zc8flxR5Std', 'zc8flxR6', 'zc8flxR6Err', 'zc8flxR6Fill', 'zc8flxR6Std', 'zc8flxR7', 'zc8flxR7Err', 'zc8flxR7Fill', 'zc8flxR7Std', 'zc8flxR8', 'zc8flxR8Err', 'zc8flxR8Fill', 'zc8flxR8Std', 'zc8flxR9', 'zc8flxR9Err', 'zc8flxR9Fill', 'zc8flxR9Std', 'zippDetectID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackApFlxExGalCon8ObjectView
No description
Columns=['b', 'batchID', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'gc8flxR10', 'gc8flxR10Err', 'gc8flxR10Fill', 'gc8flxR10Std', 'gc8flxR11', 'gc8flxR11Err', 'gc8flxR11Fill', 'gc8flxR11Std', 'gc8flxR3', 'gc8flxR3Err', 'gc8flxR3Fill', 'gc8flxR3Std', 'gc8flxR4', 'gc8flxR4Err', 'gc8flxR4Fill', 'gc8flxR4Std', 'gc8flxR5', 'gc8flxR5Err', 'gc8flxR5Fill', 'gc8flxR5Std', 'gc8flxR6', 'gc8flxR6Err', 'gc8flxR6Fill', 'gc8flxR6Std', 'gc8flxR7', 'gc8flxR7Err', 'gc8flxR7Fill', 'gc8flxR7Std', 'gc8flxR8', 'gc8flxR8Err', 'gc8flxR8Fill', 'gc8flxR8Std', 'gc8flxR9', 'gc8flxR9Err', 'gc8flxR9Fill', 'gc8flxR9Std', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'htmID', 'ic8flxR10', 'ic8flxR10Err', 'ic8flxR10Fill', 'ic8flxR10Std', 'ic8flxR11', 'ic8flxR11Err', 'ic8flxR11Fill', 'ic8flxR11Std', 'ic8flxR3', 'ic8flxR3Err', 'ic8flxR3Fill', 'ic8flxR3Std', 'ic8flxR4', 'ic8flxR4Err', 'ic8flxR4Fill', 'ic8flxR4Std', 'ic8flxR5', 'ic8flxR5Err', 'ic8flxR5Fill', 'ic8flxR5Std', 'ic8flxR6', 'ic8flxR6Err', 'ic8flxR6Fill', 'ic8flxR6Std', 'ic8flxR7', 'ic8flxR7Err', 'ic8flxR7Fill', 'ic8flxR7Std', 'ic8flxR8', 'ic8flxR8Err', 'ic8flxR8Fill', 'ic8flxR8Std', 'ic8flxR9', 'ic8flxR9Err', 'ic8flxR9Fill', 'ic8flxR9Std', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'processingVersion', 'projectionID', 'qualityFlag', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'rc8flxR10', 'rc8flxR10Err', 'rc8flxR10Fill', 'rc8flxR10Std', 'rc8flxR11', 'rc8flxR11Err', 'rc8flxR11Fill', 'rc8flxR11Std', 'rc8flxR3', 'rc8flxR3Err', 'rc8flxR3Fill', 'rc8flxR3Std', 'rc8flxR4', 'rc8flxR4Err', 'rc8flxR4Fill', 'rc8flxR4Std', 'rc8flxR5', 'rc8flxR5Err', 'rc8flxR5Fill', 'rc8flxR5Std', 'rc8flxR6', 'rc8flxR6Err', 'rc8flxR6Fill', 'rc8flxR6Std', 'rc8flxR7', 'rc8flxR7Err', 'rc8flxR7Fill', 'rc8flxR7Std', 'rc8flxR8', 'rc8flxR8Err', 'rc8flxR8Fill', 'rc8flxR8Std', 'rc8flxR9', 'rc8flxR9Err', 'rc8flxR9Fill', 'rc8flxR9Std', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'yc8flxR10', 'yc8flxR10Err', 'yc8flxR10Fill', 'yc8flxR10Std', 'yc8flxR11', 'yc8flxR11Err', 'yc8flxR11Fill', 'yc8flxR11Std', 'yc8flxR3', 'yc8flxR3Err', 'yc8flxR3Fill', 'yc8flxR3Std', 'yc8flxR4', 'yc8flxR4Err', 'yc8flxR4Fill', 'yc8flxR4Std', 'yc8flxR5', 'yc8flxR5Err', 'yc8flxR5Fill', 'yc8flxR5Std', 'yc8flxR6', 'yc8flxR6Err', 'yc8flxR6Fill', 'yc8flxR6Std', 'yc8flxR7', 'yc8flxR7Err', 'yc8flxR7Fill', 'yc8flxR7Std', 'yc8flxR8', 'yc8flxR8Err', 'yc8flxR8Fill', 'yc8flxR8Std', 'yc8flxR9', 'yc8flxR9Err', 'yc8flxR9Fill', 'yc8flxR9Std', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zc8flxR10', 'zc8flxR10Err', 'zc8flxR10Fill', 'zc8flxR10Std', 'zc8flxR11', 'zc8flxR11Err', 'zc8flxR11Fill', 'zc8flxR11Std', 'zc8flxR3', 'zc8flxR3Err', 'zc8flxR3Fill', 'zc8flxR3Std', 'zc8flxR4', 'zc8flxR4Err', 'zc8flxR4Fill', 'zc8flxR4Std', 'zc8flxR5', 'zc8flxR5Err', 'zc8flxR5Fill', 'zc8flxR5Std', 'zc8flxR6', 'zc8flxR6Err', 'zc8flxR6Fill', 'zc8flxR6Std', 'zc8flxR7', 'zc8flxR7Err', 'zc8flxR7Fill', 'zc8flxR7Std', 'zc8flxR8', 'zc8flxR8Err', 'zc8flxR8Fill', 'zc8flxR8Std', 'zc8flxR9', 'zc8flxR9Err', 'zc8flxR9Fill', 'zc8flxR9Std', 'zippDetectID', 'zoneID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackApFlxExGalUnc
No description
Columns=['bestDetection', 'gflxR10', 'gflxR10Err', 'gflxR10Fill', 'gflxR10Std', 'gflxR11', 'gflxR11Err', 'gflxR11Fill', 'gflxR11Std', 'gflxR3', 'gflxR3Err', 'gflxR3Fill', 'gflxR3Std', 'gflxR4', 'gflxR4Err', 'gflxR4Fill', 'gflxR4Std', 'gflxR5', 'gflxR5Err', 'gflxR5Fill', 'gflxR5Std', 'gflxR6', 'gflxR6Err', 'gflxR6Fill', 'gflxR6Std', 'gflxR7', 'gflxR7Err', 'gflxR7Fill', 'gflxR7Std', 'gflxR8', 'gflxR8Err', 'gflxR8Fill', 'gflxR8Std', 'gflxR9', 'gflxR9Err', 'gflxR9Fill', 'gflxR9Std', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'iflxR10', 'iflxR10Err', 'iflxR10Fill', 'iflxR10Std', 'iflxR11', 'iflxR11Err', 'iflxR11Fill', 'iflxR11Std', 'iflxR3', 'iflxR3Err', 'iflxR3Fill', 'iflxR3Std', 'iflxR4', 'iflxR4Err', 'iflxR4Fill', 'iflxR4Std', 'iflxR5', 'iflxR5Err', 'iflxR5Fill', 'iflxR5Std', 'iflxR6', 'iflxR6Err', 'iflxR6Fill', 'iflxR6Std', 'iflxR7', 'iflxR7Err', 'iflxR7Fill', 'iflxR7Std', 'iflxR8', 'iflxR8Err', 'iflxR8Fill', 'iflxR8Std', 'iflxR9', 'iflxR9Err', 'iflxR9Fill', 'iflxR9Std', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'objID', 'primaryDetection', 'randomStackObjID', 'rflxR10', 'rflxR10Err', 'rflxR10Fill', 'rflxR10Std', 'rflxR11', 'rflxR11Err', 'rflxR11Fill', 'rflxR11Std', 'rflxR3', 'rflxR3Err', 'rflxR3Fill', 'rflxR3Std', 'rflxR4', 'rflxR4Err', 'rflxR4Fill', 'rflxR4Std', 'rflxR5', 'rflxR5Err', 'rflxR5Fill', 'rflxR5Std', 'rflxR6', 'rflxR6Err', 'rflxR6Fill', 'rflxR6Std', 'rflxR7', 'rflxR7Err', 'rflxR7Fill', 'rflxR7Std', 'rflxR8', 'rflxR8Err', 'rflxR8Fill', 'rflxR8Std', 'rflxR9', 'rflxR9Err', 'rflxR9Fill', 'rflxR9Std', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'uniquePspsSTid', 'yflxR10', 'yflxR10Err', 'yflxR10Fill', 'yflxR10Std', 'yflxR11', 'yflxR11Err', 'yflxR11Fill', 'yflxR11Std', 'yflxR3', 'yflxR3Err', 'yflxR3Fill', 'yflxR3Std', 'yflxR4', 'yflxR4Err', 'yflxR4Fill', 'yflxR4Std', 'yflxR5', 'yflxR5Err', 'yflxR5Fill', 'yflxR5Std', 'yflxR6', 'yflxR6Err', 'yflxR6Fill', 'yflxR6Std', 'yflxR7', 'yflxR7Err', 'yflxR7Fill', 'yflxR7Std', 'yflxR8', 'yflxR8Err', 'yflxR8Fill', 'yflxR8Std', 'yflxR9', 'yflxR9Err', 'yflxR9Fill', 'yflxR9Std', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zflxR10', 'zflxR10Err', 'zflxR10Fill', 'zflxR10Std', 'zflxR11', 'zflxR11Err', 'zflxR11Fill', 'zflxR11Std', 'zflxR3', 'zflxR3Err', 'zflxR3Fill', 'zflxR3Std', 'zflxR4', 'zflxR4Err', 'zflxR4Fill', 'zflxR4Std', 'zflxR5', 'zflxR5Err', 'zflxR5Fill', 'zflxR5Std', 'zflxR6', 'zflxR6Err', 'zflxR6Fill', 'zflxR6Std', 'zflxR7', 'zflxR7Err', 'zflxR7Fill', 'zflxR7Std', 'zflxR8', 'zflxR8Err', 'zflxR8Fill', 'zflxR8Std', 'zflxR9', 'zflxR9Err', 'zflxR9Fill', 'zflxR9Std', 'zippDetectID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackApFlxExGalUncObjectView
No description
Columns=['b', 'batchID', 'bestDetection', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'gflxR10', 'gflxR10Err', 'gflxR10Fill', 'gflxR10Std', 'gflxR11', 'gflxR11Err', 'gflxR11Fill', 'gflxR11Std', 'gflxR3', 'gflxR3Err', 'gflxR3Fill', 'gflxR3Std', 'gflxR4', 'gflxR4Err', 'gflxR4Fill', 'gflxR4Std', 'gflxR5', 'gflxR5Err', 'gflxR5Fill', 'gflxR5Std', 'gflxR6', 'gflxR6Err', 'gflxR6Fill', 'gflxR6Std', 'gflxR7', 'gflxR7Err', 'gflxR7Fill', 'gflxR7Std', 'gflxR8', 'gflxR8Err', 'gflxR8Fill', 'gflxR8Std', 'gflxR9', 'gflxR9Err', 'gflxR9Fill', 'gflxR9Std', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'htmID', 'iflxR10', 'iflxR10Err', 'iflxR10Fill', 'iflxR10Std', 'iflxR11', 'iflxR11Err', 'iflxR11Fill', 'iflxR11Std', 'iflxR3', 'iflxR3Err', 'iflxR3Fill', 'iflxR3Std', 'iflxR4', 'iflxR4Err', 'iflxR4Fill', 'iflxR4Std', 'iflxR5', 'iflxR5Err', 'iflxR5Fill', 'iflxR5Std', 'iflxR6', 'iflxR6Err', 'iflxR6Fill', 'iflxR6Std', 'iflxR7', 'iflxR7Err', 'iflxR7Fill', 'iflxR7Std', 'iflxR8', 'iflxR8Err', 'iflxR8Fill', 'iflxR8Std', 'iflxR9', 'iflxR9Err', 'iflxR9Fill', 'iflxR9Std', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'primaryDetection', 'processingVersion', 'projectionID', 'qualityFlag', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'randomStackObjID', 'rflxR10', 'rflxR10Err', 'rflxR10Fill', 'rflxR10Std', 'rflxR11', 'rflxR11Err', 'rflxR11Fill', 'rflxR11Std', 'rflxR3', 'rflxR3Err', 'rflxR3Fill', 'rflxR3Std', 'rflxR4', 'rflxR4Err', 'rflxR4Fill', 'rflxR4Std', 'rflxR5', 'rflxR5Err', 'rflxR5Fill', 'rflxR5Std', 'rflxR6', 'rflxR6Err', 'rflxR6Fill', 'rflxR6Std', 'rflxR7', 'rflxR7Err', 'rflxR7Fill', 'rflxR7Std', 'rflxR8', 'rflxR8Err', 'rflxR8Fill', 'rflxR8Std', 'rflxR9', 'rflxR9Err', 'rflxR9Fill', 'rflxR9Std', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'yflxR10', 'yflxR10Err', 'yflxR10Fill', 'yflxR10Std', 'yflxR11', 'yflxR11Err', 'yflxR11Fill', 'yflxR11Std', 'yflxR3', 'yflxR3Err', 'yflxR3Fill', 'yflxR3Std', 'yflxR4', 'yflxR4Err', 'yflxR4Fill', 'yflxR4Std', 'yflxR5', 'yflxR5Err', 'yflxR5Fill', 'yflxR5Std', 'yflxR6', 'yflxR6Err', 'yflxR6Fill', 'yflxR6Std', 'yflxR7', 'yflxR7Err', 'yflxR7Fill', 'yflxR7Std', 'yflxR8', 'yflxR8Err', 'yflxR8Fill', 'yflxR8Std', 'yflxR9', 'yflxR9Err', 'yflxR9Fill', 'yflxR9Std', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zflxR10', 'zflxR10Err', 'zflxR10Fill', 'zflxR10Std', 'zflxR11', 'zflxR11Err', 'zflxR11Fill', 'zflxR11Std', 'zflxR3', 'zflxR3Err', 'zflxR3Fill', 'zflxR3Std', 'zflxR4', 'zflxR4Err', 'zflxR4Fill', 'zflxR4Std', 'zflxR5', 'zflxR5Err', 'zflxR5Fill', 'zflxR5Std', 'zflxR6', 'zflxR6Err', 'zflxR6Fill', 'zflxR6Std', 'zflxR7', 'zflxR7Err', 'zflxR7Fill', 'zflxR7Std', 'zflxR8', 'zflxR8Err', 'zflxR8Fill', 'zflxR8Std', 'zflxR9', 'zflxR9Err', 'zflxR9Fill', 'zflxR9Std', 'zippDetectID', 'zoneID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackApFlxObjectView
No description
Columns=['b', 'batchID', 'bestDetection', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'gc6flxR5', 'gc6flxR5Err', 'gc6flxR5Fill', 'gc6flxR5Std', 'gc6flxR6', 'gc6flxR6Err', 'gc6flxR6Fill', 'gc6flxR6Std', 'gc6flxR7', 'gc6flxR7Err', 'gc6flxR7Fill', 'gc6flxR7Std', 'gc8flxR5', 'gc8flxR5Err', 'gc8flxR5Fill', 'gc8flxR5Std', 'gc8flxR6', 'gc8flxR6Err', 'gc8flxR6Fill', 'gc8flxR6Std', 'gc8flxR7', 'gc8flxR7Err', 'gc8flxR7Fill', 'gc8flxR7Std', 'gflxR5', 'gflxR5Err', 'gflxR5Fill', 'gflxR5Std', 'gflxR6', 'gflxR6Err', 'gflxR6Fill', 'gflxR6Std', 'gflxR7', 'gflxR7Err', 'gflxR7Fill', 'gflxR7Std', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'htmID', 'ic6flxR5', 'ic6flxR5Err', 'ic6flxR5Fill', 'ic6flxR5Std', 'ic6flxR6', 'ic6flxR6Err', 'ic6flxR6Fill', 'ic6flxR6Std', 'ic6flxR7', 'ic6flxR7Err', 'ic6flxR7Fill', 'ic6flxR7Std', 'ic8flxR5', 'ic8flxR5Err', 'ic8flxR5Fill', 'ic8flxR5Std', 'ic8flxR6', 'ic8flxR6Err', 'ic8flxR6Fill', 'ic8flxR6Std', 'ic8flxR7', 'ic8flxR7Err', 'ic8flxR7Fill', 'ic8flxR7Std', 'iflxR5', 'iflxR5Err', 'iflxR5Fill', 'iflxR5Std', 'iflxR6', 'iflxR6Err', 'iflxR6Fill', 'iflxR6Std', 'iflxR7', 'iflxR7Err', 'iflxR7Fill', 'iflxR7Std', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'processingVersion', 'projectionID', 'qualityFlag', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'rc6flxR5', 'rc6flxR5Err', 'rc6flxR5Fill', 'rc6flxR5Std', 'rc6flxR6', 'rc6flxR6Err', 'rc6flxR6Fill', 'rc6flxR6Std', 'rc6flxR7', 'rc6flxR7Err', 'rc6flxR7Fill', 'rc6flxR7Std', 'rc8flxR5', 'rc8flxR5Err', 'rc8flxR5Fill', 'rc8flxR5Std', 'rc8flxR6', 'rc8flxR6Err', 'rc8flxR6Fill', 'rc8flxR6Std', 'rc8flxR7', 'rc8flxR7Err', 'rc8flxR7Fill', 'rc8flxR7Std', 'rflxR5', 'rflxR5Err', 'rflxR5Fill', 'rflxR5Std', 'rflxR6', 'rflxR6Err', 'rflxR6Fill', 'rflxR6Std', 'rflxR7', 'rflxR7Err', 'rflxR7Fill', 'rflxR7Std', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'yc6flxR5', 'yc6flxR5Err', 'yc6flxR5Fill', 'yc6flxR5Std', 'yc6flxR6', 'yc6flxR6Err', 'yc6flxR6Fill', 'yc6flxR6Std', 'yc6flxR7', 'yc6flxR7Err', 'yc6flxR7Fill', 'yc6flxR7Std', 'yc8flxR5', 'yc8flxR5Err', 'yc8flxR5Fill', 'yc8flxR5Std', 'yc8flxR6', 'yc8flxR6Err', 'yc8flxR6Fill', 'yc8flxR6Std', 'yc8flxR7', 'yc8flxR7Err', 'yc8flxR7Fill', 'yc8flxR7Std', 'yflxR5', 'yflxR5Err', 'yflxR5Fill', 'yflxR5Std', 'yflxR6', 'yflxR6Err', 'yflxR6Fill', 'yflxR6Std', 'yflxR7', 'yflxR7Err', 'yflxR7Fill', 'yflxR7Std', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zc6flxR5', 'zc6flxR5Err', 'zc6flxR5Fill', 'zc6flxR5Std', 'zc6flxR6', 'zc6flxR6Err', 'zc6flxR6Fill', 'zc6flxR6Std', 'zc6flxR7', 'zc6flxR7Err', 'zc6flxR7Fill', 'zc6flxR7Std', 'zc8flxR5', 'zc8flxR5Err', 'zc8flxR5Fill', 'zc8flxR5Std', 'zc8flxR6', 'zc8flxR6Err', 'zc8flxR6Fill', 'zc8flxR6Std', 'zc8flxR7', 'zc8flxR7Err', 'zc8flxR7Fill', 'zc8flxR7Std', 'zflxR5', 'zflxR5Err', 'zflxR5Fill', 'zflxR5Std', 'zflxR6', 'zflxR6Err', 'zflxR6Fill', 'zflxR6Std', 'zflxR7', 'zflxR7Err', 'zflxR7Fill', 'zflxR7Std', 'zippDetectID', 'zoneID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackDetEffMeta
No description
Columns=['counts01', 'counts02', 'counts03', 'counts04', 'counts05', 'counts06', 'counts07', 'counts08', 'counts09', 'counts10', 'counts11', 'counts12', 'counts13', 'diffMean01', 'diffMean02', 'diffMean03', 'diffMean04', 'diffMean05', 'diffMean06', 'diffMean07', 'diffMean08', 'diffMean09', 'diffMean10', 'diffMean11', 'diffMean12', 'diffMean13', 'diffStdev01', 'diffStdev02', 'diffStdev03', 'diffStdev04', 'diffStdev05', 'diffStdev06', 'diffStdev07', 'diffStdev08', 'diffStdev09', 'diffStdev10', 'diffStdev11', 'diffStdev12', 'diffStdev13', 'errMean01', 'errMean02', 'errMean03', 'errMean04', 'errMean05', 'errMean06', 'errMean07', 'errMean08', 'errMean09', 'errMean10', 'errMean11', 'errMean12', 'errMean13', 'magref', 'nInjected', 'offset01', 'offset02', 'offset03', 'offset04', 'offset05', 'offset06', 'offset07', 'offset08', 'offset09', 'offset10', 'offset11', 'offset12', 'offset13', 'stackImageID']
----
dbo.StackMeta
No description
Columns=['analysisVer', 'astroScat', 'batchID', 'cdelt1', 'cdelt2', 'crpix1', 'crpix2', 'crval1', 'crval2', 'ctype1', 'ctype2', 'detectionThreshold', 'expTime', 'filterID', 'md5sum', 'nAstroRef', 'nP2Images', 'nPhotoRef', 'pc001001', 'pc001002', 'pc002001', 'pc002002', 'photoCalID', 'photoScat', 'photoZero', 'processingVersion', 'projectionID', 'psfFWHM', 'psfModelID', 'psfTheta', 'psfWidMajor', 'psfWidMinor', 'recalAstroScatX', 'recalAstroScatY', 'recalNAstroStars', 'recalNPhotoStars', 'recalphotoScat', 'skyCellID', 'stackImageID', 'stackTypeID', 'surveyID', 'tessID']
----
dbo.StackModelFitDeV
No description
Columns=['bestDetection', 'gDeVAb', 'gDeVAbErr', 'gDeVChisq', 'gDeVDec', 'gDeVDecErr', 'gDeVMag', 'gDeVMagErr', 'gDeVPhi', 'gDeVPhiErr', 'gDeVRa', 'gDeVRaErr', 'gDeVRadius', 'gDeVRadiusErr', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'iDeVAb', 'iDeVAbErr', 'iDeVChisq', 'iDeVDec', 'iDeVDecErr', 'iDeVMag', 'iDeVMagErr', 'iDeVPhi', 'iDeVPhiErr', 'iDeVRa', 'iDeVRaErr', 'iDeVRadius', 'iDeVRadiusErr', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'objID', 'primaryDetection', 'rDeVAb', 'rDeVAbErr', 'rDeVChisq', 'rDeVDec', 'rDeVDecErr', 'rDeVMag', 'rDeVMagErr', 'rDeVPhi', 'rDeVPhiErr', 'rDeVRa', 'rDeVRaErr', 'rDeVRadius', 'rDeVRadiusErr', 'randomStackObjID', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'uniquePspsSTid', 'yDeVAb', 'yDeVAbErr', 'yDeVChisq', 'yDeVDec', 'yDeVDecErr', 'yDeVMag', 'yDeVMagErr', 'yDeVPhi', 'yDeVPhiErr', 'yDeVRa', 'yDeVRaErr', 'yDeVRadius', 'yDeVRadiusErr', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zDeVAb', 'zDeVAbErr', 'zDeVChisq', 'zDeVDec', 'zDeVDecErr', 'zDeVMag', 'zDeVMagErr', 'zDeVPhi', 'zDeVPhiErr', 'zDeVRa', 'zDeVRaErr', 'zDeVRadius', 'zDeVRadiusErr', 'zippDetectID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackModelFitDeVObjectView
No description
Columns=['b', 'batchID', 'bestDetection', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'gDeVAb', 'gDeVAbErr', 'gDeVChisq', 'gDeVDec', 'gDeVDecErr', 'gDeVMag', 'gDeVMagErr', 'gDeVPhi', 'gDeVPhiErr', 'gDeVRa', 'gDeVRaErr', 'gDeVRadius', 'gDeVRadiusErr', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'htmID', 'iDeVAb', 'iDeVAbErr', 'iDeVChisq', 'iDeVDec', 'iDeVDecErr', 'iDeVMag', 'iDeVMagErr', 'iDeVPhi', 'iDeVPhiErr', 'iDeVRa', 'iDeVRaErr', 'iDeVRadius', 'iDeVRadiusErr', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'primaryDetection', 'processingVersion', 'projectionID', 'qualityFlag', 'rDeVAb', 'rDeVAbErr', 'rDeVChisq', 'rDeVDec', 'rDeVDecErr', 'rDeVMag', 'rDeVMagErr', 'rDeVPhi', 'rDeVPhiErr', 'rDeVRa', 'rDeVRaErr', 'rDeVRadius', 'rDeVRadiusErr', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'yDeVAb', 'yDeVAbErr', 'yDeVChisq', 'yDeVDec', 'yDeVDecErr', 'yDeVMag', 'yDeVMagErr', 'yDeVPhi', 'yDeVPhiErr', 'yDeVRa', 'yDeVRaErr', 'yDeVRadius', 'yDeVRadiusErr', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zDeVAb', 'zDeVAbErr', 'zDeVChisq', 'zDeVDec', 'zDeVDecErr', 'zDeVMag', 'zDeVMagErr', 'zDeVPhi', 'zDeVPhiErr', 'zDeVRa', 'zDeVRaErr', 'zDeVRadius', 'zDeVRadiusErr', 'zippDetectID', 'zoneID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackModelFitExp
No description
Columns=['bestDetection', 'gExpAb', 'gExpAbErr', 'gExpChisq', 'gExpDec', 'gExpDecErr', 'gExpMag', 'gExpMagErr', 'gExpPhi', 'gExpPhiErr', 'gExpRa', 'gExpRaErr', 'gExpRadius', 'gExpRadiusErr', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'iExpAb', 'iExpAbErr', 'iExpChisq', 'iExpDec', 'iExpDecErr', 'iExpMag', 'iExpMagErr', 'iExpPhi', 'iExpPhiErr', 'iExpRa', 'iExpRaErr', 'iExpRadius', 'iExpRadiusErr', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'objID', 'primaryDetection', 'rExpAb', 'rExpAbErr', 'rExpChisq', 'rExpDec', 'rExpDecErr', 'rExpMag', 'rExpMagErr', 'rExpPhi', 'rExpPhiErr', 'rExpRa', 'rExpRaErr', 'rExpRadius', 'rExpRadiusErr', 'randomStackObjID', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'uniquePspsSTid', 'yExpAb', 'yExpAbErr', 'yExpChisq', 'yExpDec', 'yExpDecErr', 'yExpMag', 'yExpMagErr', 'yExpPhi', 'yExpPhiErr', 'yExpRa', 'yExpRaErr', 'yExpRadius', 'yExpRadiusErr', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zExpAb', 'zExpAbErr', 'zExpChisq', 'zExpDec', 'zExpDecErr', 'zExpMag', 'zExpMagErr', 'zExpPhi', 'zExpPhiErr', 'zExpRa', 'zExpRaErr', 'zExpRadius', 'zExpRadiusErr', 'zippDetectID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackModelFitExpObjectView
No description
Columns=['b', 'batchID', 'bestDetection', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'gExpAb', 'gExpAbErr', 'gExpChisq', 'gExpDec', 'gExpDecErr', 'gExpMag', 'gExpMagErr', 'gExpPhi', 'gExpPhiErr', 'gExpRa', 'gExpRaErr', 'gExpRadius', 'gExpRadiusErr', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'htmID', 'iExpAb', 'iExpAbErr', 'iExpChisq', 'iExpDec', 'iExpDecErr', 'iExpMag', 'iExpMagErr', 'iExpPhi', 'iExpPhiErr', 'iExpRa', 'iExpRaErr', 'iExpRadius', 'iExpRadiusErr', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'primaryDetection', 'processingVersion', 'projectionID', 'qualityFlag', 'rExpAb', 'rExpAbErr', 'rExpChisq', 'rExpDec', 'rExpDecErr', 'rExpMag', 'rExpMagErr', 'rExpPhi', 'rExpPhiErr', 'rExpRa', 'rExpRaErr', 'rExpRadius', 'rExpRadiusErr', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'yExpAb', 'yExpAbErr', 'yExpChisq', 'yExpDec', 'yExpDecErr', 'yExpMag', 'yExpMagErr', 'yExpPhi', 'yExpPhiErr', 'yExpRa', 'yExpRaErr', 'yExpRadius', 'yExpRadiusErr', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zExpAb', 'zExpAbErr', 'zExpChisq', 'zExpDec', 'zExpDecErr', 'zExpMag', 'zExpMagErr', 'zExpPhi', 'zExpPhiErr', 'zExpRa', 'zExpRaErr', 'zExpRadius', 'zExpRadiusErr', 'zippDetectID', 'zoneID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackModelFitExtra
No description
Columns=['bestDetection', 'gS2', 'gbumpy', 'ghalfLightRad', 'gippDetectID', 'glogRA', 'glogRT', 'gstackDetectID', 'gstackImageID', 'iS2', 'ibumpy', 'ihalfLightRad', 'iippDetectID', 'ilogRA', 'ilogRT', 'ippObjID', 'istackDetectID', 'istackImageID', 'objID', 'primaryDetection', 'rS2', 'randomStackObjID', 'rbumpy', 'rhalfLightRad', 'rippDetectID', 'rlogRA', 'rlogRT', 'rstackDetectID', 'rstackImageID', 'uniquePspsSTid', 'yS2', 'ybumpy', 'yhalfLightRad', 'yippDetectID', 'ylogRA', 'ylogRT', 'ystackDetectID', 'ystackImageID', 'zS2', 'zbumpy', 'zhalfLightRad', 'zippDetectID', 'zlogRA', 'zlogRT', 'zstackDetectID', 'zstackImageID']
----
dbo.StackModelFitPetObjectView
No description
Columns=['b', 'batchID', 'bestDetection', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'gippDetectID', 'gpetCf', 'gpetMag', 'gpetMagErr', 'gpetR50', 'gpetR50Err', 'gpetR90', 'gpetR90Err', 'gpetRadius', 'gpetRadiusErr', 'gstackDetectID', 'gstackImageID', 'htmID', 'iippDetectID', 'ipetCf', 'ipetMag', 'ipetMagErr', 'ipetR50', 'ipetR50Err', 'ipetR90', 'ipetR90Err', 'ipetRadius', 'ipetRadiusErr', 'ippObjID', 'istackDetectID', 'istackImageID', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'primaryDetection', 'processingVersion', 'projectionID', 'qualityFlag', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'rippDetectID', 'rpetCf', 'rpetMag', 'rpetMagErr', 'rpetR50', 'rpetR50Err', 'rpetR90', 'rpetR90Err', 'rpetRadius', 'rpetRadiusErr', 'rstackDetectID', 'rstackImageID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'yippDetectID', 'ypetCf', 'ypetMag', 'ypetMagErr', 'ypetR50', 'ypetR50Err', 'ypetR90', 'ypetR90Err', 'ypetRadius', 'ypetRadiusErr', 'ystackDetectID', 'ystackImageID', 'zippDetectID', 'zoneID', 'zpetCf', 'zpetMag', 'zpetMagErr', 'zpetR50', 'zpetR50Err', 'zpetR90', 'zpetR90Err', 'zpetRadius', 'zpetRadiusErr', 'zstackDetectID', 'zstackImageID']
----
dbo.StackModelFitSer
No description
Columns=['bestDetection', 'gSerAb', 'gSerAbErr', 'gSerChisq', 'gSerDec', 'gSerDecErr', 'gSerMag', 'gSerMagErr', 'gSerNu', 'gSerNuErr', 'gSerPhi', 'gSerPhiErr', 'gSerRa', 'gSerRaErr', 'gSerRadius', 'gSerRadiusErr', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'iSerAb', 'iSerAbErr', 'iSerChisq', 'iSerDec', 'iSerDecErr', 'iSerMag', 'iSerMagErr', 'iSerNu', 'iSerNuErr', 'iSerPhi', 'iSerPhiErr', 'iSerRa', 'iSerRaErr', 'iSerRadius', 'iSerRadiusErr', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'objID', 'primaryDetection', 'rSerAb', 'rSerAbErr', 'rSerChisq', 'rSerDec', 'rSerDecErr', 'rSerMag', 'rSerMagErr', 'rSerNu', 'rSerNuErr', 'rSerPhi', 'rSerPhiErr', 'rSerRa', 'rSerRaErr', 'rSerRadius', 'rSerRadiusErr', 'randomStackObjID', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'uniquePspsSTid', 'ySerAb', 'ySerAbErr', 'ySerChisq', 'ySerDec', 'ySerDecErr', 'ySerMag', 'ySerMagErr', 'ySerNu', 'ySerNuErr', 'ySerPhi', 'ySerPhiErr', 'ySerRa', 'ySerRaErr', 'ySerRadius', 'ySerRadiusErr', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zSerAb', 'zSerAbErr', 'zSerChisq', 'zSerDec', 'zSerDecErr', 'zSerMag', 'zSerMagErr', 'zSerNu', 'zSerNuErr', 'zSerPhi', 'zSerPhiErr', 'zSerRa', 'zSerRaErr', 'zSerRadius', 'zSerRadiusErr', 'zippDetectID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackModelFitSerObjectView
No description
Columns=['b', 'batchID', 'bestDetection', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'gSerAb', 'gSerAbErr', 'gSerChisq', 'gSerDec', 'gSerDecErr', 'gSerMag', 'gSerMagErr', 'gSerNu', 'gSerNuErr', 'gSerPhi', 'gSerPhiErr', 'gSerRa', 'gSerRaErr', 'gSerRadius', 'gSerRadiusErr', 'gippDetectID', 'gstackDetectID', 'gstackImageID', 'htmID', 'iSerAb', 'iSerAbErr', 'iSerChisq', 'iSerDec', 'iSerDecErr', 'iSerMag', 'iSerMagErr', 'iSerNu', 'iSerNuErr', 'iSerPhi', 'iSerPhiErr', 'iSerRa', 'iSerRaErr', 'iSerRadius', 'iSerRadiusErr', 'iippDetectID', 'ippObjID', 'istackDetectID', 'istackImageID', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'primaryDetection', 'processingVersion', 'projectionID', 'qualityFlag', 'rSerAb', 'rSerAbErr', 'rSerChisq', 'rSerDec', 'rSerDecErr', 'rSerMag', 'rSerMagErr', 'rSerNu', 'rSerNuErr', 'rSerPhi', 'rSerPhiErr', 'rSerRa', 'rSerRaErr', 'rSerRadius', 'rSerRadiusErr', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'rippDetectID', 'rstackDetectID', 'rstackImageID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'ySerAb', 'ySerAbErr', 'ySerChisq', 'ySerDec', 'ySerDecErr', 'ySerMag', 'ySerMagErr', 'ySerNu', 'ySerNuErr', 'ySerPhi', 'ySerPhiErr', 'ySerRa', 'ySerRaErr', 'ySerRadius', 'ySerRadiusErr', 'yippDetectID', 'ystackDetectID', 'ystackImageID', 'zSerAb', 'zSerAbErr', 'zSerChisq', 'zSerDec', 'zSerDecErr', 'zSerMag', 'zSerMagErr', 'zSerNu', 'zSerNuErr', 'zSerPhi', 'zSerPhiErr', 'zSerRa', 'zSerRaErr', 'zSerRadius', 'zSerRadiusErr', 'zippDetectID', 'zoneID', 'zstackDetectID', 'zstackImageID']
----
dbo.StackModelObjectView
No description
Columns=['b', 'bestDetection', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'gDeVAb', 'gDeVAbErr', 'gDeVChisq', 'gDeVDec', 'gDeVDecErr', 'gDeVMag', 'gDeVMagErr', 'gDeVPhi', 'gDeVPhiErr', 'gDeVRa', 'gDeVRaErr', 'gDeVRadius', 'gDeVRadiusErr', 'gExpAb', 'gExpAbErr', 'gExpChisq', 'gExpDec', 'gExpDecErr', 'gExpMag', 'gExpMagErr', 'gExpPhi', 'gExpPhiErr', 'gExpRa', 'gExpRaErr', 'gExpRadius', 'gExpRadiusErr', 'gSerAb', 'gSerAbErr', 'gSerChisq', 'gSerDec', 'gSerDecErr', 'gSerMag', 'gSerMagErr', 'gSerNu', 'gSerNuErr', 'gSerPhi', 'gSerPhiErr', 'gSerRa', 'gSerRaErr', 'gSerRadius', 'gSerRadiusErr', 'gippDetectID', 'gpetCf', 'gpetMag', 'gpetMagErr', 'gpetR50', 'gpetR50Err', 'gpetR90', 'gpetR90Err', 'gpetRadius', 'gpetRadiusErr', 'gstackDetectID', 'gstackImageID', 'htmID', 'iDeVAb', 'iDeVAbErr', 'iDeVChisq', 'iDeVDec', 'iDeVDecErr', 'iDeVMag', 'iDeVMagErr', 'iDeVPhi', 'iDeVPhiErr', 'iDeVRa', 'iDeVRaErr', 'iDeVRadius', 'iDeVRadiusErr', 'iExpAb', 'iExpAbErr', 'iExpChisq', 'iExpDec', 'iExpDecErr', 'iExpMag', 'iExpMagErr', 'iExpPhi', 'iExpPhiErr', 'iExpRa', 'iExpRaErr', 'iExpRadius', 'iExpRadiusErr', 'iSerAb', 'iSerAbErr', 'iSerChisq', 'iSerDec', 'iSerDecErr', 'iSerMag', 'iSerMagErr', 'iSerNu', 'iSerNuErr', 'iSerPhi', 'iSerPhiErr', 'iSerRa', 'iSerRaErr', 'iSerRadius', 'iSerRadiusErr', 'iippDetectID', 'ipetCf', 'ipetMag', 'ipetMagErr', 'ipetR50', 'ipetR50Err', 'ipetR90', 'ipetR90Err', 'ipetRadius', 'ipetRadiusErr', 'ippObjID', 'istackDetectID', 'istackImageID', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'primaryDetection', 'processingVersion', 'projectionID', 'qualityFlag', 'rDeVAb', 'rDeVAbErr', 'rDeVChisq', 'rDeVDec', 'rDeVDecErr', 'rDeVMag', 'rDeVMagErr', 'rDeVPhi', 'rDeVPhiErr', 'rDeVRa', 'rDeVRaErr', 'rDeVRadius', 'rDeVRadiusErr', 'rExpAb', 'rExpAbErr', 'rExpChisq', 'rExpDec', 'rExpDecErr', 'rExpMag', 'rExpMagErr', 'rExpPhi', 'rExpPhiErr', 'rExpRa', 'rExpRaErr', 'rExpRadius', 'rExpRadiusErr', 'rSerAb', 'rSerAbErr', 'rSerChisq', 'rSerDec', 'rSerDecErr', 'rSerMag', 'rSerMagErr', 'rSerNu', 'rSerNuErr', 'rSerPhi', 'rSerPhiErr', 'rSerRa', 'rSerRaErr', 'rSerRadius', 'rSerRadiusErr', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'randomStackObjID', 'rippDetectID', 'rpetCf', 'rpetMag', 'rpetMagErr', 'rpetR50', 'rpetR50Err', 'rpetR90', 'rpetR90Err', 'rpetRadius', 'rpetRadiusErr', 'rstackDetectID', 'rstackImageID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'yDeVAb', 'yDeVAbErr', 'yDeVChisq', 'yDeVDec', 'yDeVDecErr', 'yDeVMag', 'yDeVMagErr', 'yDeVPhi', 'yDeVPhiErr', 'yDeVRa', 'yDeVRaErr', 'yDeVRadius', 'yDeVRadiusErr', 'yExpAb', 'yExpAbErr', 'yExpChisq', 'yExpDec', 'yExpDecErr', 'yExpMag', 'yExpMagErr', 'yExpPhi', 'yExpPhiErr', 'yExpRa', 'yExpRaErr', 'yExpRadius', 'yExpRadiusErr', 'ySerAb', 'ySerAbErr', 'ySerChisq', 'ySerDec', 'ySerDecErr', 'ySerMag', 'ySerMagErr', 'ySerNu', 'ySerNuErr', 'ySerPhi', 'ySerPhiErr', 'ySerRa', 'ySerRaErr', 'ySerRadius', 'ySerRadiusErr', 'yippDetectID', 'ypetCf', 'ypetMag', 'ypetMagErr', 'ypetR50', 'ypetR50Err', 'ypetR90', 'ypetR90Err', 'ypetRadius', 'ypetRadiusErr', 'ystackDetectID', 'ystackImageID', 'zDeVAb', 'zDeVAbErr', 'zDeVChisq', 'zDeVDec', 'zDeVDecErr', 'zDeVMag', 'zDeVMagErr', 'zDeVPhi', 'zDeVPhiErr', 'zDeVRa', 'zDeVRaErr', 'zDeVRadius', 'zDeVRadiusErr', 'zExpAb', 'zExpAbErr', 'zExpChisq', 'zExpDec', 'zExpDecErr', 'zExpMag', 'zExpMagErr', 'zExpPhi', 'zExpPhiErr', 'zExpRa', 'zExpRaErr', 'zExpRadius', 'zExpRadiusErr', 'zSerAb', 'zSerAbErr', 'zSerChisq', 'zSerDec', 'zSerDecErr', 'zSerMag', 'zSerMagErr', 'zSerNu', 'zSerNuErr', 'zSerPhi', 'zSerPhiErr', 'zSerRa', 'zSerRaErr', 'zSerRadius', 'zSerRadiusErr', 'zippDetectID', 'zoneID', 'zpetCf', 'zpetMag', 'zpetMagErr', 'zpetR50', 'zpetR50Err', 'zpetR90', 'zpetR90Err', 'zpetRadius', 'zpetRadiusErr', 'zstackDetectID', 'zstackImageID']
----
dbo.StackObjectAttributes
No description
Columns=['bestDetection', 'gApFillFac', 'gApFlux', 'gApFluxErr', 'gApRadius', 'gExtNSigma', 'gKronFlux', 'gKronFluxErr', 'gKronRad', 'gPSFFlux', 'gPSFFluxErr', 'gPlateScale', 'gexpTime', 'gippDetectID', 'gmomentR1', 'gmomentRH', 'gmomentXX', 'gmomentXY', 'gmomentYY', 'gpsfChiSq', 'gpsfCore', 'gpsfLikelihood', 'gpsfMajorFWHM', 'gpsfMinorFWHM', 'gpsfQf', 'gpsfQfPerfect', 'gpsfTheta', 'gsky', 'gskyErr', 'gstackDetectID', 'gstackImageID', 'gxPos', 'gxPosErr', 'gyPos', 'gyPosErr', 'gzp', 'gzpAPER', 'iApFillFac', 'iApFlux', 'iApFluxErr', 'iApRadius', 'iExtNSigma', 'iKronFlux', 'iKronFluxErr', 'iKronRad', 'iPSFFlux', 'iPSFFluxErr', 'iPlateScale', 'iexpTime', 'iippDetectID', 'imomentR1', 'imomentRH', 'imomentXX', 'imomentXY', 'imomentYY', 'ippObjID', 'ipsfChiSq', 'ipsfCore', 'ipsfLikelihood', 'ipsfMajorFWHM', 'ipsfMinorFWHM', 'ipsfQf', 'ipsfQfPerfect', 'ipsfTheta', 'isky', 'iskyErr', 'istackDetectID', 'istackImageID', 'ixPos', 'ixPosErr', 'iyPos', 'iyPosErr', 'izp', 'izpAPER', 'objID', 'primaryDetection', 'rApFillFac', 'rApFlux', 'rApFluxErr', 'rApRadius', 'rExtNSigma', 'rKronFlux', 'rKronFluxErr', 'rKronRad', 'rPSFFlux', 'rPSFFluxErr', 'rPlateScale', 'randomStackObjID', 'rexpTime', 'rippDetectID', 'rmomentR1', 'rmomentRH', 'rmomentXX', 'rmomentXY', 'rmomentYY', 'rpsfChiSq', 'rpsfCore', 'rpsfLikelihood', 'rpsfMajorFWHM', 'rpsfMinorFWHM', 'rpsfQf', 'rpsfQfPerfect', 'rpsfTheta', 'rsky', 'rskyErr', 'rstackDetectID', 'rstackImageID', 'rxPos', 'rxPosErr', 'ryPos', 'ryPosErr', 'rzp', 'rzpAPER', 'uniquePspsSTid', 'yApFillFac', 'yApFlux', 'yApFluxErr', 'yApRadius', 'yExtNSigma', 'yKronFlux', 'yKronFluxErr', 'yKronRad', 'yPSFFlux', 'yPSFFluxErr', 'yPlateScale', 'yexpTime', 'yippDetectID', 'ymomentR1', 'ymomentRH', 'ymomentXX', 'ymomentXY', 'ymomentYY', 'ypsfChiSq', 'ypsfCore', 'ypsfLikelihood', 'ypsfMajorFWHM', 'ypsfMinorFWHM', 'ypsfQf', 'ypsfQfPerfect', 'ypsfTheta', 'ysky', 'yskyErr', 'ystackDetectID', 'ystackImageID', 'yxPos', 'yxPosErr', 'yyPos', 'yyPosErr', 'yzp', 'yzpAPER', 'zApFillFac', 'zApFlux', 'zApFluxErr', 'zApRadius', 'zExtNSigma', 'zKronFlux', 'zKronFluxErr', 'zKronRad', 'zPSFFlux', 'zPSFFluxErr', 'zPlateScale', 'zexpTime', 'zippDetectID', 'zmomentR1', 'zmomentRH', 'zmomentXX', 'zmomentXY', 'zmomentYY', 'zpsfChiSq', 'zpsfCore', 'zpsfLikelihood', 'zpsfMajorFWHM', 'zpsfMinorFWHM', 'zpsfQf', 'zpsfQfPerfect', 'zpsfTheta', 'zsky', 'zskyErr', 'zstackDetectID', 'zstackImageID', 'zxPos', 'zxPosErr', 'zyPos', 'zyPosErr', 'zzp', 'zzpAPER']
----
dbo.StackObjectThin
No description
Columns=['bestDetection', 'dvoRegionID', 'gApMag', 'gApMagErr', 'gEpoch', 'gKronMag', 'gKronMagErr', 'gPSFMag', 'gPSFMagErr', 'gdec', 'gdecErr', 'ginfoFlag', 'ginfoFlag2', 'ginfoFlag3', 'ginfoFlag4', 'gippDetectID', 'gnFrames', 'gra', 'graErr', 'gstackDetectID', 'gstackImageID', 'iApMag', 'iApMagErr', 'iEpoch', 'iKronMag', 'iKronMagErr', 'iPSFMag', 'iPSFMagErr', 'idec', 'idecErr', 'iinfoFlag', 'iinfoFlag2', 'iinfoFlag3', 'iinfoFlag4', 'iippDetectID', 'inFrames', 'ippObjID', 'ira', 'iraErr', 'istackDetectID', 'istackImageID', 'objID', 'primaryDetection', 'processingVersion', 'projectionID', 'rApMag', 'rApMagErr', 'rEpoch', 'rKronMag', 'rKronMagErr', 'rPSFMag', 'rPSFMagErr', 'randomStackObjID', 'rdec', 'rdecErr', 'rinfoFlag', 'rinfoFlag2', 'rinfoFlag3', 'rinfoFlag4', 'rippDetectID', 'rnFrames', 'rra', 'rraErr', 'rstackDetectID', 'rstackImageID', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsSTid', 'yApMag', 'yApMagErr', 'yEpoch', 'yKronMag', 'yKronMagErr', 'yPSFMag', 'yPSFMagErr', 'ydec', 'ydecErr', 'yinfoFlag', 'yinfoFlag2', 'yinfoFlag3', 'yinfoFlag4', 'yippDetectID', 'ynFrames', 'yra', 'yraErr', 'ystackDetectID', 'ystackImageID', 'zApMag', 'zApMagErr', 'zEpoch', 'zKronMag', 'zKronMagErr', 'zPSFMag', 'zPSFMagErr', 'zdec', 'zdecErr', 'zinfoFlag', 'zinfoFlag2', 'zinfoFlag3', 'zinfoFlag4', 'zippDetectID', 'znFrames', 'zra', 'zraErr', 'zstackDetectID', 'zstackImageID']
----
dbo.StackObjectView
No description
Columns=['b', 'batchID', 'bestDetection', 'beta', 'cx', 'cy', 'cz', 'decMean', 'decMeanErr', 'decStack', 'decStackErr', 'dvoRegionID', 'epochMean', 'gApFillFac', 'gApFlux', 'gApFluxErr', 'gApMag', 'gApMagErr', 'gApRadius', 'gEpoch', 'gExtNSigma', 'gKronFlux', 'gKronFluxErr', 'gKronMag', 'gKronMagErr', 'gKronRad', 'gPSFFlux', 'gPSFFluxErr', 'gPSFMag', 'gPSFMagErr', 'gPlateScale', 'gdec', 'gdecErr', 'gexpTime', 'ginfoFlag', 'ginfoFlag2', 'ginfoFlag3', 'gippDetectID', 'gmomentR1', 'gmomentRH', 'gmomentXX', 'gmomentXY', 'gmomentYY', 'gnFrames', 'gpsfChiSq', 'gpsfCore', 'gpsfLikelihood', 'gpsfMajorFWHM', 'gpsfMinorFWHM', 'gpsfQf', 'gpsfQfPerfect', 'gpsfTheta', 'gra', 'graErr', 'gsky', 'gskyErr', 'gstackDetectID', 'gstackImageID', 'gxPos', 'gxPosErr', 'gyPos', 'gyPosErr', 'gzp', 'htmID', 'iApFillFac', 'iApFlux', 'iApFluxErr', 'iApMag', 'iApMagErr', 'iApRadius', 'iEpoch', 'iExtNSigma', 'iKronFlux', 'iKronFluxErr', 'iKronMag', 'iKronMagErr', 'iKronRad', 'iPSFFlux', 'iPSFFluxErr', 'iPSFMag', 'iPSFMagErr', 'iPlateScale', 'idec', 'idecErr', 'iexpTime', 'iinfoFlag', 'iinfoFlag2', 'iinfoFlag3', 'iippDetectID', 'imomentR1', 'imomentRH', 'imomentXX', 'imomentXY', 'imomentYY', 'inFrames', 'ippObjID', 'ipsfChiSq', 'ipsfCore', 'ipsfLikelihood', 'ipsfMajorFWHM', 'ipsfMinorFWHM', 'ipsfQf', 'ipsfQfPerfect', 'ipsfTheta', 'ira', 'iraErr', 'isky', 'iskyErr', 'istackDetectID', 'istackImageID', 'ixPos', 'ixPosErr', 'iyPos', 'iyPosErr', 'izp', 'l', 'lambda', 'nDetections', 'nStackDetections', 'nStackObjectRows', 'ng', 'ni', 'nr', 'ny', 'nz', 'objAltName1', 'objAltName2', 'objAltName3', 'objID', 'objInfoFlag', 'objName', 'posMeanChisq', 'primaryDetection', 'processingVersion', 'projectionID', 'qualityFlag', 'rApFillFac', 'rApFlux', 'rApFluxErr', 'rApMag', 'rApMagErr', 'rApRadius', 'rEpoch', 'rExtNSigma', 'rKronFlux', 'rKronFluxErr', 'rKronMag', 'rKronMagErr', 'rKronRad', 'rPSFFlux', 'rPSFFluxErr', 'rPSFMag', 'rPSFMagErr', 'rPlateScale', 'raMean', 'raMeanErr', 'raStack', 'raStackErr', 'randomID', 'rdec', 'rdecErr', 'rexpTime', 'rinfoFlag', 'rinfoFlag2', 'rinfoFlag3', 'rippDetectID', 'rmomentR1', 'rmomentRH', 'rmomentXX', 'rmomentXY', 'rmomentYY', 'rnFrames', 'rpsfChiSq', 'rpsfCore', 'rpsfLikelihood', 'rpsfMajorFWHM', 'rpsfMinorFWHM', 'rpsfQf', 'rpsfQfPerfect', 'rpsfTheta', 'rra', 'rraErr', 'rsky', 'rskyErr', 'rstackDetectID', 'rstackImageID', 'rxPos', 'rxPosErr', 'ryPos', 'ryPosErr', 'rzp', 'skyCellID', 'surveyID', 'tessID', 'uniquePspsOBid', 'uniquePspsSTid', 'yApFillFac', 'yApFlux', 'yApFluxErr', 'yApMag', 'yApMagErr', 'yApRadius', 'yEpoch', 'yExtNSigma', 'yKronFlux', 'yKronFluxErr', 'yKronMag', 'yKronMagErr', 'yKronRad', 'yPSFFlux', 'yPSFFluxErr', 'yPSFMag', 'yPSFMagErr', 'yPlateScale', 'ydec', 'ydecErr', 'yexpTime', 'yinfoFlag', 'yinfoFlag2', 'yinfoFlag3', 'yippDetectID', 'ymomentR1', 'ymomentRH', 'ymomentXX', 'ymomentXY', 'ymomentYY', 'ynFrames', 'ypsfChiSq', 'ypsfCore', 'ypsfLikelihood', 'ypsfMajorFWHM', 'ypsfMinorFWHM', 'ypsfQf', 'ypsfQfPerfect', 'ypsfTheta', 'yra', 'yraErr', 'ysky', 'yskyErr', 'ystackDetectID', 'ystackImageID', 'yxPos', 'yxPosErr', 'yyPos', 'yyPosErr', 'yzp', 'zApFillFac', 'zApFlux', 'zApFluxErr', 'zApMag', 'zApMagErr', 'zApRadius', 'zEpoch', 'zExtNSigma', 'zKronFlux', 'zKronFluxErr', 'zKronMag', 'zKronMagErr', 'zKronRad', 'zPSFFlux', 'zPSFFluxErr', 'zPSFMag', 'zPSFMagErr', 'zPlateScale', 'zdec', 'zdecErr', 'zexpTime', 'zinfoFlag', 'zinfoFlag2', 'zinfoFlag3', 'zippDetectID', 'zmomentR1', 'zmomentRH', 'zmomentXX', 'zmomentXY', 'zmomentYY', 'znFrames', 'zoneID', 'zpsfChiSq', 'zpsfCore', 'zpsfLikelihood', 'zpsfMajorFWHM', 'zpsfMinorFWHM', 'zpsfQf', 'zpsfQfPerfect', 'zpsfTheta', 'zra', 'zraErr', 'zsky', 'zskyErr', 'zstackDetectID', 'zstackImageID', 'zxPos', 'zxPosErr', 'zyPos', 'zyPosErr', 'zzp']
----
dbo.StackPetrosian
No description
Columns=['bestDetection', 'gippDetectID', 'gpetCf', 'gpetMag', 'gpetMagErr', 'gpetR50', 'gpetR50Err', 'gpetR90', 'gpetR90Err', 'gpetRadius', 'gpetRadiusErr', 'gstackDetectID', 'gstackImageID', 'iippDetectID', 'ipetCf', 'ipetMag', 'ipetMagErr', 'ipetR50', 'ipetR50Err', 'ipetR90', 'ipetR90Err', 'ipetRadius', 'ipetRadiusErr', 'ippObjID', 'istackDetectID', 'istackImageID', 'objID', 'primaryDetection', 'randomStackObjID', 'rippDetectID', 'rpetCf', 'rpetMag', 'rpetMagErr', 'rpetR50', 'rpetR50Err', 'rpetR90', 'rpetR90Err', 'rpetRadius', 'rpetRadiusErr', 'rstackDetectID', 'rstackImageID', 'uniquePspsSTid', 'yippDetectID', 'ypetCf', 'ypetMag', 'ypetMagErr', 'ypetR50', 'ypetR50Err', 'ypetR90', 'ypetR90Err', 'ypetRadius', 'ypetRadiusErr', 'ystackDetectID', 'ystackImageID', 'zippDetectID', 'zpetCf', 'zpetMag', 'zpetMagErr', 'zpetR50', 'zpetR50Err', 'zpetR90', 'zpetR90Err', 'zpetRadius', 'zpetRadiusErr', 'zstackDetectID', 'zstackImageID']
----
dbo.StackToFrame
No description
Columns=['airMass', 'expTime', 'frameID', 'scaleFactor', 'stackImageID', 'zp']
----
dbo.StackToImage
No description
Columns=['imageID', 'stackImageID']
----
dbo.StackType
No description
Columns=['description', 'name', 'stackTypeID']
----
dbo.Survey
No description
Columns=['description', 'name', 'surveyID']
----
dbo.TessellationType
No description
Columns=['description', 'name', 'tessID']
----
Use Cases#
Simple Positional Query#
This searches the mean object catalog for objects within .2 degrees of M87 (RA=187.706, Dec=12.391 in degrees). The view used contains information from the ObjectThin table (which has information on object positions and the number of available measurements) and the MeanObject table (which has information on photometry averaged over the multiple epochs of observation).
Note that the results are restricted to objects with nDetections>1, where nDetections is the total number of times the object was detected on the single-epoch images in any filter at any time. Objects with nDetections=1 tend to be artifacts, so this is a quick way to eliminate most spurious objects from the catalog.
This query runs in TAP’s asynchronous mode, which is a queued batch mode with some overhead and longer timeouts, useful for big catalogs like PanSTARRS. It may not be necessary for all queries to PS1 DR2, but the PyVO client can automatically handle the additional processing required over synchronous mode.
job = TAP_service.run_async("""
SELECT objID, RAMean, DecMean, nDetections, ng, nr, ni, nz, ny, gMeanPSFMag, rMeanPSFMag, iMeanPSFMag, zMeanPSFMag, yMeanPSFMag
FROM dbo.MeanObjectView
WHERE
CONTAINS(POINT('ICRS', RAMean, DecMean),CIRCLE('ICRS',187.706,12.391,.2))=1
AND nDetections > 1
""")
TAP_results = job.to_table()
TAP_results
Table length=6927
| objID | RAMean | DecMean | nDetections | ng | nr | ni | nz | ny | gMeanPSFMag | rMeanPSFMag | iMeanPSFMag | zMeanPSFMag | yMeanPSFMag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| deg | deg | mag | mag | mag | mag | mag | |||||||
| int64 | float64 | float64 | int16 | int16 | int16 | int16 | int16 | int16 | float32 | float32 | float32 | float32 | float32 |
| 122861877059169881 | 187.70591003309602 | 12.39113345997396 | 54 | 10 | 10 | 14 | 8 | 12 | 10.295 | 10.732 | 11.076 | 11.342 | 11.557 |
| 122861877056308967 | 187.70559948 | 12.39030211 | 2 | 0 | 0 | 0 | 0 | 2 | -999.0 | -999.0 | -999.0 | -999.0 | 14.9985 |
| 122871877063310741 | 187.70631118732143 | 12.39181079630862 | 3 | 0 | 2 | 0 | 1 | 0 | -999.0 | 14.4229 | -999.0 | 14.4249 | -999.0 |
| 122861877058698594 | 187.70580919 | 12.39013311 | 2 | 0 | 0 | 0 | 0 | 2 | -999.0 | -999.0 | -999.0 | -999.0 | 14.7305 |
| 122861877050678994 | 187.70512542608552 | 12.390430557059906 | 5 | 2 | 2 | 1 | 0 | 0 | 17.0287 | 15.0843 | 16.169 | -999.0 | -999.0 |
| 122871877062551436 | 187.70622365 | 12.39236505 | 2 | 0 | 0 | 0 | 0 | 2 | -999.0 | -999.0 | -999.0 | -999.0 | 15.1102 |
| 122861877044629638 | 187.70451598 | 12.39086724 | 2 | 0 | 0 | 0 | 2 | 0 | -999.0 | -999.0 | -999.0 | 15.5294 | -999.0 |
| 122861877056688054 | 187.70558996 | 12.38960002 | 2 | 0 | 0 | 0 | 2 | 0 | -999.0 | -999.0 | -999.0 | 14.4064 | -999.0 |
| 122871877075050430 | 187.70747912 | 12.3915839 | 2 | 0 | 0 | 0 | 2 | 0 | -999.0 | -999.0 | -999.0 | 15.5752 | -999.0 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 123101877313707983 | 187.73121143 | 12.58941058 | 2 | 0 | 0 | 0 | 2 | 0 | -999.0 | -999.0 | -999.0 | 19.9209 | -999.0 |
| 122901875031002013 | 187.50314518107095 | 12.417915440212205 | 37 | 7 | 10 | 11 | 7 | 2 | 21.2326 | 20.7473 | 20.5742 | 20.6803 | 20.2113 |
| 122661878055210091 | 187.80550736264715 | 12.216281397817458 | 57 | 13 | 14 | 12 | 6 | 12 | 20.9059 | 20.3516 | 20.0699 | 19.9956 | 19.8391 |
| 122631877536376320 | 187.75369336 | 12.19655761 | 2 | 0 | 0 | 0 | 2 | 0 | -999.0 | -999.0 | -999.0 | 21.0599 | -999.0 |
| 123031875562633406 | 187.55622393040358 | 12.527354381090412 | 3 | 0 | 0 | 3 | 0 | 0 | -999.0 | -999.0 | 20.5518 | -999.0 | -999.0 |
| 122681878343382931 | 187.83438155722584 | 12.235251674424532 | 24 | 5 | 9 | 6 | 4 | 0 | 22.0912 | 21.7042 | 21.3068 | 21.0164 | -999.0 |
| 123061878259604285 | 187.82588872 | 12.55313763 | 2 | 1 | 0 | 1 | 0 | 0 | 21.9049 | -999.0 | 21.4564 | -999.0 | -999.0 |
| 122751878844752179 | 187.88446793636015 | 12.293022278414929 | 77 | 16 | 24 | 14 | 11 | 12 | 21.4623 | 20.3555 | 20.1394 | 20.0368 | 19.8008 |
| 123001875376856622 | 187.53785086789503 | 12.505173082359276 | 4 | 0 | 3 | 1 | 0 | 0 | -999.0 | 21.1887 | 21.1419 | -999.0 | -999.0 |
| 123101876640214622 | 187.66398717765725 | 12.586746063373354 | 3 | 0 | 0 | 2 | 1 | 0 | -999.0 | -999.0 | 21.8531 | 21.6726 | -999.0 |
Get DR2 light curve for RR Lyrae star KQ UMa#
This time we start with the object name, use the MAST name resolver (which relies on Simbad and NED) to convert the name to RA and Dec, and then query the PS1 DR2 mean object catalog at that position. Then we run a spatial query to TAP using those coordinates.
objname = 'KQ UMa'
coords = Mast.resolve_object(objname)
ra,dec = coords.ra.value,coords.dec.value
radius = 1.0/3600.0 # radius = 1 arcsec
query = """
SELECT objID, RAMean, DecMean, nDetections, ng, nr, ni, nz, ny, gMeanPSFMag,
rMeanPSFMag, iMeanPSFMag, zMeanPSFMag, yMeanPSFMag
FROM dbo.MeanObjectView
WHERE
CONTAINS(POINT('ICRS', RAMean, DecMean),CIRCLE('ICRS',{},{},{}))=1
AND nDetections > 1
""".format(ra,dec,radius)
print(query)
job = TAP_service.run_async(query)
TAP_results = job.to_table()
TAP_results
SELECT objID, RAMean, DecMean, nDetections, ng, nr, ni, nz, ny, gMeanPSFMag,
rMeanPSFMag, iMeanPSFMag, zMeanPSFMag, yMeanPSFMag
FROM dbo.MeanObjectView
WHERE
CONTAINS(POINT('ICRS', RAMean, DecMean),CIRCLE('ICRS',139.33446271609,68.63508880829,0.0002777777777777778))=1
AND nDetections > 1
Table length=1
| objID | RAMean | DecMean | nDetections | ng | nr | ni | nz | ny | gMeanPSFMag | rMeanPSFMag | iMeanPSFMag | zMeanPSFMag | yMeanPSFMag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| deg | deg | mag | mag | mag | mag | mag | |||||||
| int64 | float64 | float64 | int16 | int16 | int16 | int16 | int16 | int16 | float32 | float32 | float32 | float32 | float32 |
| 190361393344112894 | 139.33445305334158 | 68.63505916169231 | 66 | 8 | 10 | 21 | 13 | 14 | 15.0402 | 14.553 | 14.2109 | 14.2814 | 14.3041 |
Get Repeated Detection Information#
Extract all the objects with the same object ID from the Detection table, which contains all the individual measurements for this source. The results are joined to the Filter table to convert the filter numbers to names.
objid = TAP_results['objID'][0]
query = """
SELECT
objID, detectID, Detection.filterID as filterID, Filter.filterType, obsTime, ra, dec,
psfFlux, psfFluxErr, psfMajorFWHM, psfMinorFWHM, psfQfPerfect,
apFlux, apFluxErr, infoFlag, infoFlag2, infoFlag3
FROM Detection
NATURAL JOIN Filter
WHERE objID={}
ORDER BY filterID, obsTime
""".format(objid)
print(query)
job = TAP_service.run_async(query)
detection_TAP_results = job.to_table()
detection_TAP_results
SELECT
objID, detectID, Detection.filterID as filterID, Filter.filterType, obsTime, ra, dec,
psfFlux, psfFluxErr, psfMajorFWHM, psfMinorFWHM, psfQfPerfect,
apFlux, apFluxErr, infoFlag, infoFlag2, infoFlag3
FROM Detection
NATURAL JOIN Filter
WHERE objID=190361393344112894
ORDER BY filterID, obsTime
Table length=66
| objID | detectID | filterid | filterType | obsTime | ra | dec | psfFlux | psfFluxErr | psfMajorFWHM | psfMinorFWHM | psfQfPerfect | apFlux | apFluxErr | infoFlag | infoFlag2 | infoFlag3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| yr | deg | deg | pix | pix | ||||||||||||
| int64 | int64 | uint8 | object | float64 | float64 | float64 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | int64 | int32 | int32 |
| 190361393344112894 | 153347716310000010 | 1 | g | 55634.477414 | 139.3345207 | 68.63503577 | 0.00826192 | 1.14074e-05 | 1.88185 | 1.76734 | 0.992916 | 0.00861705 | 1.14233e-05 | 102760517 | 128 | 124782656 |
| 190361393344112894 | 153348968310000008 | 1 | g | 55634.4899457 | 139.33448821 | 68.63506146 | 0.0077373 | 1.10268e-05 | 1.81031 | 1.60518 | 0.998461 | 0.00792172 | 1.09406e-05 | 102760517 | 128 | 124782656 |
| 190361393344112894 | 232228791560000017 | 1 | g | 56423.2881719 | 139.33449441 | 68.63503952 | 0.00335198 | 7.26745e-06 | 1.60204 | 1.45048 | 0.998589 | 0.00338658 | 7.2363e-06 | 102760517 | 128 | 108038208 |
| 190361393344112894 | 255559866370000015 | 1 | g | 56656.5989211 | 139.33444592 | 68.63504589 | 0.00372909 | 7.37688e-06 | 1.82831 | 1.68692 | 0.999191 | 0.00372163 | 7.52088e-06 | 102760517 | 128 | 124815424 |
| 190361393344112894 | 262040070370000016 | 1 | g | 56721.4009635 | 139.33445148 | 68.63504807 | 0.003576 | 7.22894e-06 | 1.60585 | 1.50396 | 0.998605 | 0.00359603 | 7.43463e-06 | 102760517 | 128 | 7374912 |
| 190361393344112894 | 262040708370000014 | 1 | g | 56721.4073411 | 139.33445304 | 68.63504406 | 0.00350554 | 7.14809e-06 | 1.62415 | 1.48827 | 0.999487 | 0.00359624 | 7.43434e-06 | 102760517 | 128 | 7374912 |
| 190361393344112894 | 264231864260000022 | 1 | g | 56743.3189045 | 139.3344431 | 68.63504497 | 0.00343867 | 7.81574e-06 | 1.53957 | 1.4761 | 0.999049 | 0.00361239 | 7.85237e-06 | 102760517 | 128 | 7374912 |
| 190361393344112894 | 264232516260000024 | 1 | g | 56743.3254198 | 139.33444512 | 68.63505285 | 0.00347403 | 7.87789e-06 | 1.52751 | 1.43325 | 0.999367 | 0.00360349 | 7.8686e-06 | 102760517 | 128 | 7374912 |
| 190361393344112894 | 153441340410000012 | 2 | r | 55635.4136426 | 139.33447173 | 68.6350534 | 0.00978758 | 1.10843e-05 | 1.67879 | 1.5653 | 0.998509 | 0.00990763 | 1.11231e-05 | 102760517 | 128 | 124815424 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 190361393344112894 | 183254354520000014 | 5 | y | 55933.5437238 | 139.3344534 | 68.63505904 | 0.0079394 | 2.4924e-05 | 0.959231 | 0.901458 | 0.996853 | 0.00803078 | 2.37126e-05 | 102760517 | 128 | 7374912 |
| 190361393344112894 | 183255163520000015 | 5 | y | 55933.5518128 | 139.33444232 | 68.63505669 | 0.00915573 | 2.64422e-05 | 1.11331 | 0.95368 | 0.997115 | 0.00914515 | 2.48501e-05 | 102760517 | 128 | 74483776 |
| 190361393344112894 | 191726725200000011 | 5 | y | 56018.2674345 | 139.33446079 | 68.63506403 | 0.00829646 | 2.59461e-05 | 1.07332 | 1.01563 | 0.997924 | 0.00833759 | 2.33303e-05 | 102760517 | 128 | 7374912 |
| 190361393344112894 | 191727369200000012 | 5 | y | 56018.2738664 | 139.33445189 | 68.63506152 | 0.00819996 | 2.55524e-05 | 1.09504 | 1.05914 | 0.997819 | 0.00820753 | 2.3153e-05 | 102760517 | 128 | 7374912 |
| 190361393344112894 | 229122569150000014 | 5 | y | 56392.2258719 | 139.33442742 | 68.63506234 | 0.00780422 | 2.57689e-05 | 1.02878 | 0.893195 | 0.998618 | 0.00777279 | 2.16455e-05 | 102760517 | 128 | 7374912 |
| 190361393344112894 | 229123273150000011 | 5 | y | 56392.2329084 | 139.33444595 | 68.63505744 | 0.00803503 | 2.55974e-05 | 0.941801 | 0.888788 | 0.99805 | 0.00807037 | 2.2092e-05 | 102760517 | 128 | 7374912 |
| 190361393344112894 | 264322648150000024 | 5 | y | 56744.2269452 | 139.334454 | 68.63505864 | 0.00540446 | 1.32146e-05 | 1.38829 | 1.3477 | 0.998922 | 0.00549867 | 1.13527e-05 | 102760517 | 128 | 124782656 |
| 190361393344112894 | 265623008150000027 | 5 | y | 56757.2305455 | 139.33444319 | 68.63506375 | 0.00636614 | 1.60784e-05 | 0.895041 | 0.803365 | 0.852516 | 0.00412859 | 1.01303e-05 | 102760581 | 128 | 34880 |
| 190361393344112894 | 287165374630000023 | 5 | y | 56972.6539243 | 139.33444226 | 68.63506087 | 0.00687817 | 2.79326e-05 | 1.53686 | 1.28813 | 0.991647 | 0.00699914 | 2.16585e-05 | 102760517 | 128 | 7374912 |
| 190361393344112894 | 287265116630000028 | 5 | y | 56973.6513438 | 139.33444991 | 68.63505759 | 0.00665377 | 2.7704e-05 | 1.85619 | 1.70397 | 0.99864 | 0.00663106 | 2.13156e-05 | 102760517 | 128 | 7342144 |
Plot the light curves#
The psfFlux values from the Detection table are converted from Janskys to AB magnitudes. Measurements in the 5 different filters are plotted separately.
# convert flux in Jy to magnitudes
t = detection_TAP_results['obsTime']
mag = -2.5*np.log10(detection_TAP_results['psfFlux']) + 8.90
xlim = np.array([t.min(),t.max()])
xlim = xlim + np.array([-1,1])*0.02*(xlim[1]-xlim[0])
pylab.rcParams.update({'font.size': 14})
pylab.figure(1,(10,10))
#detection_TAP_results['filterType'] is a byte string, compare accordingly:
for i, filter in enumerate(['g','r','i','z','y']):
pylab.subplot(511+i)
w = np.where(detection_TAP_results['filterType'] == filter)
pylab.plot(t[w],mag[w],'-o')
pylab.ylabel(f'{filter} [mag]')
pylab.xlim(xlim)
pylab.gca().invert_yaxis()
if i==0:
pylab.title(objname)
pylab.xlabel('Time [MJD]')
pylab.tight_layout()
Plot differences from the mean magnitudes in the initial search.
# convert flux in Jy to magnitudes
t = detection_TAP_results['obsTime']
mag = -2.5*np.log10(detection_TAP_results['psfFlux']) + 8.90
xlim = np.array([t.min(),t.max()])
xlim = xlim + np.array([-1,1])*0.02*(xlim[1]-xlim[0])
pylab.rcParams.update({'font.size': 14})
pylab.figure(1,(10,10))
#detection_TAP_results['filterType'] is a byte string, compare accordingly:
for i, filter in enumerate(['g','r','i','z','y']):
pylab.subplot(511+i)
w = np.where(detection_TAP_results['filterType']==filter)
magmean = TAP_results[f'{filter}MeanPSFMag'][0]
pylab.plot(t[w],mag[w] - magmean,'-o')
pylab.ylabel(f'{filter} [mag - {np.round(float(magmean), 4)}]')
pylab.xlim(xlim)
pylab.gca().invert_yaxis()
if i==0:
pylab.title(objname)
pylab.xlabel('Time [MJD]')
pylab.tight_layout()
Identify bad data#
There is one clearly bad \(z\) magnitude with a very large difference. Select the bad point and look at it in more detail.
Note that indexing a table (or numpy array) with a logical expression selects just the rows where that expression is true.
detection_TAP_results[ (detection_TAP_results['filterType']=='z') & (np.abs(mag-TAP_results['zMeanPSFMag'][0]) > 2) ]
Table length=1
| objID | detectID | filterid | filterType | obsTime | ra | dec | psfFlux | psfFluxErr | psfMajorFWHM | psfMinorFWHM | psfQfPerfect | apFlux | apFluxErr | infoFlag | infoFlag2 | infoFlag3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| yr | deg | deg | pix | pix | ||||||||||||
| int64 | int64 | uint8 | object | float64 | float64 | float64 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | int64 | int32 | int32 |
| 190361393344112894 | 183252627520000234 | 4 | z | 55933.5264577 | 139.33488168 | 68.63532273 | 0.000317945 | 6.73008e-06 | 1.07537 | 1.0153 | 0.322986 | 0.000213217 | 2.36939e-06 | 102760453 | 128 | 32768 |
From examining this table, it looks like psfQfPerfect is bad. This flag is the PSF-weighted fraction of unmasked pixels in the image (see the documentation for more details). Values near unity indicate good data that is not significantly affected by bad pixels.
Check all the psfQfPerfect values for the \(z\) filter to see if this value really is unusual. The list of values below are sorted by magnitude. The bad point is the only value with psfQfPerfect < 0.95.
w = np.where(detection_TAP_results['filterType']=='z')
zdtab = detection_TAP_results[w]
zdtab['mag'] = mag[w]
zdtab['dmag'] = zdtab['mag'] - TAP_results['zMeanPSFMag'][0]
ii = np.argsort(-np.abs(zdtab['dmag']))
zdtab = zdtab[ii]
zdtab['objID','obsTime','mag','dmag','psfQfPerfect']
Table length=13
| objID | obsTime | mag | dmag | psfQfPerfect |
|---|---|---|---|---|
| yr | ||||
| int64 | float64 | float32 | float32 | float32 |
| 190361393344112894 | 55933.5264577 | 17.64412 | 3.3627195 | 0.322986 |
| 190361393344112894 | 56289.6159346 | 13.890659 | -0.3907404 | 0.997811 |
| 190361393344112894 | 56289.6241112 | 13.916805 | -0.36459446 | 0.988369 |
| 190361393344112894 | 56351.4168483 | 13.998972 | -0.2824278 | 0.999257 |
| 190361393344112894 | 55281.2528285 | 14.537914 | 0.25651455 | 0.99754 |
| 190361393344112894 | 56351.424076 | 14.032501 | -0.2488985 | 0.999187 |
| 190361393344112894 | 55527.6508919 | 14.512117 | 0.23071766 | 0.997265 |
| 190361393344112894 | 56648.5676019 | 14.05643 | -0.22496986 | 0.997982 |
| 190361393344112894 | 55527.6381469 | 14.46514 | 0.18374062 | 0.99738 |
| 190361393344112894 | 55281.2625151 | 14.428554 | 0.14715385 | 0.955584 |
| 190361393344112894 | 55933.534515 | 14.307639 | 0.026239395 | 0.997489 |
| 190361393344112894 | 56019.2968782 | 14.278636 | -0.0027637482 | 0.997654 |
| 190361393344112894 | 56019.3038014 | 14.28289 | 0.001490593 | 0.997338 |
Repeat the plot with bad psfQfPerfect values excluded#
Do the plot again but exclude low psfQfPerfect values.
# convert flux in Jy to magnitudes
t = detection_TAP_results['obsTime']
mag = -2.5*np.log10(detection_TAP_results['psfFlux']) + 8.90
magmean = 0.0*mag
for i, filter in enumerate(['g','r','i','z','y']):
magmean[detection_TAP_results['filterType']==filter] = TAP_results[f'{filter}MeanPSFMag'][0]
dmag = mag - magmean
dmag1 = dmag[detection_TAP_results['psfQfPerfect']>0.9]
# fix the x and y axis ranges
xlim = np.array([t.min(),t.max()])
xlim = xlim + np.array([-1,1])*0.02*(xlim[1]-xlim[0])
# flip axis direction for magnitude
ylim = np.array([dmag1.max(),dmag1.min()])
ylim = ylim + np.array([-1,1])*0.02*(ylim[1]-ylim[0])
pylab.rcParams.update({'font.size': 14})
pylab.figure(1,(10,10))
for i, filter in enumerate(['g','r','i','z','y']):
pylab.subplot(511+i)
w = np.where((detection_TAP_results['filterType']==filter) & (detection_TAP_results['psfQfPerfect']>0.9))[0]
pylab.plot(t[w],dmag[w],'-o')
pylab.ylabel('{} [mag - {:.2f}]'.format(filter,magmean[w[0]]))
pylab.xlim(xlim)
pylab.ylim(ylim)
if i==0:
pylab.title(objname)
pylab.xlabel('Time [MJD]')
pylab.tight_layout()
Plot versus the periodic phase instead of epoch#
Plot versus phase using known RR Lyr period from Simbad (table J/AJ/132/1202/table4).
period = 0.48636 #days, from Simbad
# convert flux in Jy to magnitudes
t = (detection_TAP_results['obsTime'] % period) / period
mag = -2.5*np.log10(detection_TAP_results['psfFlux']) + 8.90
magmean = 0.0*mag
for i, filter in enumerate(['g','r','i','z','y']):
magmean[detection_TAP_results['filterType']==filter] = TAP_results[f'{filter}MeanPSFMag'][0]
dmag = mag - magmean
dmag1 = dmag[detection_TAP_results['psfQfPerfect']>0.9]
# fix the x and y axis ranges
xlim = np.array([t.min(),t.max()])
xlim = xlim + np.array([-1,1])*0.02*(xlim[1]-xlim[0])
# flip axis direction for magnitude
ylim = np.array([dmag1.max(),dmag1.min()])
ylim = ylim + np.array([-1,1])*0.02*(ylim[1]-ylim[0])
pylab.rcParams.update({'font.size': 14})
pylab.figure(1,(10,10))
for i, filter in enumerate(['g','r','i','z','y']):
pylab.subplot(511+i)
w = np.where((detection_TAP_results['filterType']==filter) & (detection_TAP_results['psfQfPerfect']>0.9))[0]
w = w[np.argsort(t[w])]
pylab.plot(t[w],dmag[w],'-o')
pylab.ylabel('{} [mag - {:.2f}]'.format(filter,magmean[w[0]]))
pylab.xlim(xlim)
pylab.ylim(ylim)
if i==0:
pylab.title(objname)
pylab.xlabel('Phase')
pylab.tight_layout()
Repeat search using eclipsing binary KIC 2161623#
From Villanova Kepler Eclipsing Binaries
objname = 'KIC 2161623'
coords = Mast.resolve_object(objname)
ra,dec = coords.ra.value,coords.dec.value
radius = 1.0/3600.0 # radius = 1 arcsec
query = """
SELECT objID, RAMean, DecMean, nDetections, ng, nr, ni, nz, ny, gMeanPSFMag, rMeanPSFMag, iMeanPSFMag, zMeanPSFMag, yMeanPSFMag
FROM dbo.MeanObjectView
WHERE
CONTAINS(POINT('ICRS', RAMean, DecMean),CIRCLE('ICRS',{},{},{}))=1
AND nDetections > 1
""".format(ra,dec,radius)
print(query)
job = TAP_service.run_async(query)
TAP_results = job.to_table()
TAP_results
SELECT objID, RAMean, DecMean, nDetections, ng, nr, ni, nz, ny, gMeanPSFMag, rMeanPSFMag, iMeanPSFMag, zMeanPSFMag, yMeanPSFMag
FROM dbo.MeanObjectView
WHERE
CONTAINS(POINT('ICRS', RAMean, DecMean),CIRCLE('ICRS',291.744461,37.59102,0.0002777777777777778))=1
AND nDetections > 1
Table length=1
| objID | RAMean | DecMean | nDetections | ng | nr | ni | nz | ny | gMeanPSFMag | rMeanPSFMag | iMeanPSFMag | zMeanPSFMag | yMeanPSFMag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| deg | deg | mag | mag | mag | mag | mag | |||||||
| int64 | float64 | float64 | int16 | int16 | int16 | int16 | int16 | int16 | float32 | float32 | float32 | float32 | float32 |
| 153102917444859851 | 291.74446283634614 | 37.59099888154969 | 67 | 10 | 16 | 12 | 15 | 14 | 14.5998 | 14.2821 | 14.1587 | 14.2004 | 14.0672 |
Get Repeated Detection Information#
This time include the psfQfPerfect limit directly in the database query.
objid = TAP_results['objID'][0]
query = """
SELECT
objID, detectID, Detection.filterID as filterID, Filter.filterType, obsTime, ra, dec,
psfFlux, psfFluxErr, psfMajorFWHM, psfMinorFWHM, psfQfPerfect,
apFlux, apFluxErr, infoFlag, infoFlag2, infoFlag3
FROM Detection
NATURAL JOIN Filter
WHERE objID={}
AND psfQfPerfect >= 0.9
ORDER BY filterID, obsTime
""".format(objid)
print(query)
job = TAP_service.run_async(query)
detection_TAP_results = job.to_table()
# add magnitude and difference from mean
detection_TAP_results['magmean'] = 0.0
for i, filter in enumerate([b'g',b'r',b'i',b'z',b'y']):
detection_TAP_results['magmean'][detection_TAP_results['filterType']==filter] = TAP_results[filter.decode('ascii')+'MeanPSFMag'][0]
detection_TAP_results['mag'] = -2.5*np.log10(detection_TAP_results['psfFlux']) + 8.90
detection_TAP_results['dmag'] = detection_TAP_results['mag']-detection_TAP_results['magmean']
detection_TAP_results
SELECT
objID, detectID, Detection.filterID as filterID, Filter.filterType, obsTime, ra, dec,
psfFlux, psfFluxErr, psfMajorFWHM, psfMinorFWHM, psfQfPerfect,
apFlux, apFluxErr, infoFlag, infoFlag2, infoFlag3
FROM Detection
NATURAL JOIN Filter
WHERE objID=153102917444859851
AND psfQfPerfect >= 0.9
ORDER BY filterID, obsTime
Table length=45
| objID | detectID | filterid | filterType | obsTime | ra | dec | psfFlux | psfFluxErr | psfMajorFWHM | psfMinorFWHM | psfQfPerfect | apFlux | apFluxErr | infoFlag | infoFlag2 | infoFlag3 | magmean | mag | dmag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| yr | deg | deg | pix | pix | |||||||||||||||
| int64 | int64 | uint8 | object | float64 | float64 | float64 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | int64 | int32 | int32 | float64 | float32 | float64 |
| 153102917444859851 | 90150443710000088 | 1 | g | 55002.5047803 | 291.74446391 | 37.5910006 | 0.00501008 | 6.65687e-06 | 1.98744 | 1.81211 | 0.999421 | 0.00517413 | 7.31225e-06 | 102760517 | 128 | 124815424 | 0.0 | 14.650389 | 14.650388717651367 |
| 153102917444859851 | 90151959710000087 | 1 | g | 55002.5199475 | 291.74446611 | 37.59100156 | 0.00487334 | 6.48844e-06 | 1.98487 | 1.70793 | 0.999234 | 0.00511542 | 7.27714e-06 | 102760517 | 128 | 124815424 | 0.0 | 14.680433 | 14.68043327331543 |
| 153102917444859851 | 131534996560000129 | 1 | g | 55416.3502179 | 291.74446082 | 37.59099692 | 0.00525622 | 8.41646e-06 | 1.62403 | 1.57893 | 0.998566 | 0.0052992 | 8.62578e-06 | 102760517 | 128 | 7374912 | 0.0 | 14.598316 | 14.598316192626953 |
| 153102917444859851 | 131536180650000138 | 1 | g | 55416.362065 | 291.74445937 | 37.59099733 | 0.00533028 | 8.62169e-06 | 1.32081 | 1.27186 | 0.998757 | 0.00540082 | 8.91577e-06 | 102760517 | 128 | 124815424 | 0.0 | 14.583125 | 14.583125114440918 |
| 153102917444859851 | 204528930560000076 | 1 | g | 56146.2895546 | 291.74445914 | 37.59098073 | 0.00522399 | 8.43794e-06 | 1.33369 | 1.29211 | 0.999758 | 0.00532506 | 8.88465e-06 | 102760517 | 128 | 7374912 | 0.0 | 14.604994 | 14.60499382019043 |
| 153102917444859851 | 204530041560000085 | 1 | g | 56146.3006673 | 291.74446486 | 37.59097649 | 0.00523539 | 8.44281e-06 | 1.42883 | 1.22683 | 0.964646 | 0.00532419 | 8.85594e-06 | 102760517 | 128 | 7374912 | 0.0 | 14.602627 | 14.60262680053711 |
| 153102917444859851 | 241032265120000094 | 1 | g | 56511.322909 | 291.74445657 | 37.59099752 | 0.00528641 | 8.3427e-06 | 1.15123 | 1.10789 | 0.998722 | 0.00537484 | 8.8135e-06 | 102760517 | 128 | 7374912 | 0.0 | 14.592098 | 14.592098236083984 |
| 153102917444859851 | 241033321120000081 | 1 | g | 56511.3334693 | 291.74445945 | 37.59099643 | 0.00527889 | 8.31263e-06 | 1.07898 | 0.987323 | 0.995279 | 0.0053346 | 8.77771e-06 | 102760517 | 128 | 7374912 | 0.0 | 14.593643 | 14.593643188476562 |
| 153102917444859851 | 91252543710000102 | 2 | r | 55013.5256677 | 291.74445985 | 37.59099454 | 0.00700243 | 8.7848e-06 | 1.90187 | 1.68689 | 0.998962 | 0.00723513 | 9.82915e-06 | 102760517 | 128 | 7374912 | 0.0 | 14.286878 | 14.286877632141113 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 153102917444859851 | 159961616410000125 | 5 | y | 55700.6163536 | 291.74446346 | 37.59099768 | 0.00867286 | 2.66106e-05 | 0.780035 | 0.650466 | 0.959502 | 0.00873106 | 2.5663e-05 | 102760517 | 128 | 7374912 | 0.0 | 14.054594 | 14.054594039916992 |
| 153102917444859851 | 160460087410000136 | 5 | y | 55705.6010605 | 291.74446372 | 37.59099667 | 0.00838914 | 2.4518e-05 | 0.892294 | 0.785714 | 0.997498 | 0.00850705 | 2.38093e-05 | 102760517 | 128 | 7374912 | 0.0 | 14.090706 | 14.090705871582031 |
| 153102917444859851 | 160461274410000134 | 5 | y | 55705.6129264 | 291.74446479 | 37.59099484 | 0.00846376 | 2.45964e-05 | 0.843567 | 0.719354 | 0.982199 | 0.00845989 | 2.36938e-05 | 102760517 | 128 | 7374912 | 0.0 | 14.081092 | 14.08109188079834 |
| 153102917444859851 | 171734372010000127 | 5 | y | 55818.3439014 | 291.74446419 | 37.59099973 | 0.00899537 | 2.60801e-05 | 1.25605 | 0.963624 | 0.997509 | 0.00893125 | 2.37426e-05 | 102760517 | 128 | 57706560 | 0.0 | 14.014952 | 14.014951705932617 |
| 153102917444859851 | 171735523010000129 | 5 | y | 55818.3554064 | 291.74446058 | 37.59100208 | 0.00893885 | 2.61524e-05 | 1.2684 | 0.941259 | 0.997929 | 0.00898301 | 2.38145e-05 | 102760517 | 128 | 40929344 | 0.0 | 14.021795 | 14.021795272827148 |
| 153102917444859851 | 194462075640000160 | 5 | y | 56045.6209324 | 291.7444627 | 37.59099914 | 0.00901312 | 2.46438e-05 | 1.41157 | 1.29344 | 0.998375 | 0.00900578 | 2.28883e-05 | 102760517 | 128 | 57706560 | 0.0 | 14.012812 | 14.012811660766602 |
| 153102917444859851 | 194462752640000158 | 5 | y | 56045.6277083 | 291.74445989 | 37.59099718 | 0.00881642 | 2.44413e-05 | 1.40377 | 1.19898 | 0.999512 | 0.00888709 | 2.26963e-05 | 102760517 | 128 | 7374912 | 0.0 | 14.036769 | 14.036768913269043 |
| 153102917444859851 | 213319324300000159 | 5 | y | 56234.1934155 | 291.74446373 | 37.5910009 | 0.00851151 | 2.42822e-05 | 1.04504 | 0.849606 | 0.99497 | 0.00842352 | 2.41261e-05 | 102760517 | 128 | 7374912 | 0.0 | 14.074984 | 14.074983596801758 |
| 153102917444859851 | 213319880300000163 | 5 | y | 56234.1989869 | 291.74446915 | 37.59100079 | 0.00852216 | 2.36733e-05 | 1.03871 | 0.843969 | 0.994977 | 0.00833225 | 2.42534e-05 | 102760517 | 128 | 74483776 | 0.0 | 14.073626 | 14.073625564575195 |
| 153102917444859851 | 245335559360000173 | 5 | y | 56554.3560604 | 291.74446488 | 37.59099874 | 0.00870705 | 1.611e-05 | 1.42906 | 1.38935 | 0.959646 | 0.00886884 | 1.39697e-05 | 102760517 | 128 | 40929344 | 0.0 | 14.050322 | 14.050321578979492 |
t = detection_TAP_results['obsTime']
dmag = detection_TAP_results['dmag']
xlim = np.array([t.min(),t.max()])
xlim = xlim + np.array([-1,1])*0.02*(xlim[1]-xlim[0])
ylim = np.array([dmag.max(),dmag.min()])
ylim = ylim + np.array([-1,1])*0.02*(ylim[1]-ylim[0])
pylab.rcParams.update({'font.size': 14})
pylab.figure(1,(10,10))
for i, filter in enumerate(['g','r','i','z','y']):
pylab.subplot(511+i)
w = np.where(detection_TAP_results['filterType']==filter)[0]
pylab.plot(t[w],dmag[w],'-o')
magmean = detection_TAP_results['magmean'][w[0]]
pylab.ylabel('{} [mag - {:.2f}]'.format(filter,magmean))
pylab.xlim(xlim)
pylab.ylim(ylim)
if i==0:
pylab.title(objname)
pylab.xlabel('Time [MJD]')
pylab.tight_layout()
Plot versus phase using known period#
Eclipsing binaries basically vary by same amount in all filters since it is a geometrical effect, so combine the data into a single light curve. Wrap using known period and plot versus phase.
period = 2.2834698
bjd0 = 54999.599837
t = ((detection_TAP_results['obsTime']-bjd0) % period) / period
dmag = detection_TAP_results['dmag']
w = np.argsort(t)
t = t[w]
dmag = dmag[w]
xlim = np.array([t.min(),t.max()])
xlim = xlim + np.array([-1,1])*0.02*(xlim[1]-xlim[0])
ylim = np.array([dmag.max(),dmag.min()])
ylim = ylim + np.array([-1,1])*0.02*(ylim[1]-ylim[0])
pylab.rcParams.update({'font.size': 14})
pylab.figure(1,(10,6))
pylab.plot(t,dmag,'-o')
pylab.xlim(xlim)
pylab.ylim(ylim)
pylab.xlabel('Phase')
pylab.ylabel('Delta magnitude from mean [mag]')
pylab.title(objname)
pylab.tight_layout()
Repeat search for another eclipsing binary KIC 8153568#
objname = 'KIC 8153568'
coords = Mast.resolve_object(objname)
ra,dec = coords.ra.value,coords.dec.value
radius = 1.0/3600.0 # radius = 1 arcsec
query = """
SELECT objID, RAMean, DecMean, nDetections, ng, nr, ni, nz, ny, gMeanPSFMag, rMeanPSFMag, iMeanPSFMag, zMeanPSFMag, yMeanPSFMag
FROM dbo.MeanObjectView
WHERE
CONTAINS(POINT('ICRS', RAMean, DecMean),CIRCLE('ICRS',{},{},{}))=1
AND nDetections > 1
""".format(ra,dec,radius)
print(query)
job = TAP_service.run_async(query)
TAP_results = job.to_table()
TAP_results
SELECT objID, RAMean, DecMean, nDetections, ng, nr, ni, nz, ny, gMeanPSFMag, rMeanPSFMag, iMeanPSFMag, zMeanPSFMag, yMeanPSFMag
FROM dbo.MeanObjectView
WHERE
CONTAINS(POINT('ICRS', RAMean, DecMean),CIRCLE('ICRS',286.90445,44.00551,0.0002777777777777778))=1
AND nDetections > 1
Table length=1
| objID | RAMean | DecMean | nDetections | ng | nr | ni | nz | ny | gMeanPSFMag | rMeanPSFMag | iMeanPSFMag | zMeanPSFMag | yMeanPSFMag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| deg | deg | mag | mag | mag | mag | mag | |||||||
| int64 | float64 | float64 | int16 | int16 | int16 | int16 | int16 | int16 | float32 | float32 | float32 | float32 | float32 |
| 160802869044447231 | 286.90445005122217 | 44.00547945471509 | 88 | 16 | 15 | 31 | 10 | 16 | 15.1825 | 14.9899 | 14.8907 | 15.1999 | 14.8484 |
objid = TAP_results['objID'][0]
query = """
SELECT
objID, detectID, Detection.filterID as filterID, Filter.filterType, obsTime, ra, dec,
psfFlux, psfFluxErr, psfMajorFWHM, psfMinorFWHM, psfQfPerfect,
apFlux, apFluxErr, infoFlag, infoFlag2, infoFlag3
FROM Detection
NATURAL JOIN Filter
WHERE objID={}
AND psfQfPerfect >= 0.9
ORDER BY filterID, obsTime
""".format(objid)
print(query)
job = TAP_service.run_async(query)
detection_TAP_results = job.to_table()
# add magnitude and difference from mean
detection_TAP_results['magmean'] = 0.0
for i, filter in enumerate([b'g',b'r',b'i',b'z',b'y']):
detection_TAP_results['magmean'][detection_TAP_results['filterType']==filter] = TAP_results[filter.decode('ascii')+'MeanPSFMag'][0]
detection_TAP_results['mag'] = -2.5*np.log10(detection_TAP_results['psfFlux']) + 8.90
detection_TAP_results['dmag'] = detection_TAP_results['mag']-detection_TAP_results['magmean']
detection_TAP_results
SELECT
objID, detectID, Detection.filterID as filterID, Filter.filterType, obsTime, ra, dec,
psfFlux, psfFluxErr, psfMajorFWHM, psfMinorFWHM, psfQfPerfect,
apFlux, apFluxErr, infoFlag, infoFlag2, infoFlag3
FROM Detection
NATURAL JOIN Filter
WHERE objID=160802869044447231
AND psfQfPerfect >= 0.9
ORDER BY filterID, obsTime
Table length=60
| objID | detectID | filterid | filterType | obsTime | ra | dec | psfFlux | psfFluxErr | psfMajorFWHM | psfMinorFWHM | psfQfPerfect | apFlux | apFluxErr | infoFlag | infoFlag2 | infoFlag3 | magmean | mag | dmag |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| yr | deg | deg | pix | pix | |||||||||||||||
| int64 | int64 | uint8 | object | float64 | float64 | float64 | float32 | float32 | float32 | float32 | float32 | float32 | float32 | int64 | int32 | int32 | float64 | float32 | float64 |
| 160802869044447231 | 91336429430000113 | 1 | g | 55014.3646518 | 286.90443374 | 44.00547575 | 0.003109 | 5.98065e-06 | 1.78 | 1.23811 | 0.998335 | 0.00312447 | 5.69291e-06 | 102760517 | 128 | 7374912 | 0.0 | 15.1684475 | 15.168447494506836 |
| 160802869044447231 | 91337480430000116 | 1 | g | 55014.3751566 | 286.90443894 | 44.00547502 | 0.00313056 | 6.00144e-06 | 1.66939 | 1.32773 | 0.998197 | 0.00315613 | 5.71358e-06 | 102760517 | 128 | 124815424 | 0.0 | 15.160945 | 15.160944938659668 |
| 160802869044447231 | 126057565120000092 | 1 | g | 55361.57592 | 286.90445317 | 44.00547451 | 0.00309573 | 6.72312e-06 | 1.7498 | 1.62422 | 0.998826 | 0.00310045 | 6.69387e-06 | 102760517 | 128 | 7374912 | 0.0 | 15.173092 | 15.173091888427734 |
| 160802869044447231 | 126058741130000111 | 1 | g | 55361.587678 | 286.90445157 | 44.00548065 | 0.00302815 | 6.57752e-06 | 1.62839 | 1.52579 | 0.998387 | 0.0031062 | 6.76425e-06 | 102760517 | 128 | 7374912 | 0.0 | 15.197056 | 15.19705581665039 |
| 160802869044447231 | 128744126310000284 | 1 | g | 55388.4415151 | 286.9044502 | 44.00547891 | 0.000806462 | 3.51444e-06 | 1.10132 | 0.992501 | 0.997631 | 0.000810416 | 3.45294e-06 | 102760517 | 128 | 124815424 | 0.0 | 16.63354 | 16.6335391998291 |
| 160802869044447231 | 128745341310000249 | 1 | g | 55388.4536712 | 286.90445043 | 44.00547936 | 0.000981762 | 3.82737e-06 | 1.1085 | 1.07441 | 0.997491 | 0.000985584 | 3.78859e-06 | 102760517 | 128 | 124815424 | 0.0 | 16.419983 | 16.41998291015625 |
| 160802869044447231 | 164544841720000097 | 1 | g | 55746.4486739 | 286.90445315 | 44.00547646 | 0.00306655 | 6.32653e-06 | 1.32851 | 1.16693 | 0.99831 | 0.00304733 | 6.63894e-06 | 102760517 | 128 | 40929344 | 0.0 | 15.183374 | 15.183374404907227 |
| 160802869044447231 | 164744408530000111 | 1 | g | 55748.4443394 | 286.90445207 | 44.00547835 | 0.00304057 | 6.5461e-06 | 1.37153 | 1.23193 | 0.998544 | 0.00307828 | 6.69725e-06 | 102760517 | 128 | 7374912 | 0.0 | 15.192612 | 15.192611694335938 |
| 160802869044447231 | 164745526530000113 | 1 | g | 55748.4555151 | 286.90445275 | 44.0054797 | 0.00304728 | 6.57104e-06 | 1.27531 | 1.26424 | 0.998519 | 0.00308564 | 6.71944e-06 | 102760517 | 128 | 7374912 | 0.0 | 15.190218 | 15.190217971801758 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 160802869044447231 | 281422935550000135 | 4 | z | 56915.2295351 | 286.9044441 | 44.00547162 | 0.00405251 | 1.10757e-05 | 1.31143 | 1.13385 | 0.999588 | 0.00405212 | 1.03719e-05 | 102760517 | 128 | 124815424 | 0.0 | 14.88069 | 14.88068962097168 |
| 160802869044447231 | 136027009120000145 | 5 | y | 55461.2702758 | 286.90445503 | 44.00547827 | 0.00429769 | 1.96242e-05 | 1.48652 | 1.38968 | 0.998686 | 0.00423395 | 1.58905e-05 | 102760517 | 128 | 7374912 | 0.0 | 14.816912 | 14.816911697387695 |
| 160802869044447231 | 136028204120000148 | 5 | y | 55461.2822322 | 286.90445994 | 44.00548229 | 0.00417461 | 2.0278e-05 | 1.76506 | 1.713 | 0.998705 | 0.00419736 | 1.56164e-05 | 102760517 | 128 | 7374912 | 0.0 | 14.848459 | 14.848459243774414 |
| 160802869044447231 | 159959993400000147 | 5 | y | 55700.6001108 | 286.90444692 | 44.00548086 | 0.00400983 | 1.95314e-05 | 1.04048 | 0.898651 | 0.998029 | 0.00396177 | 1.71112e-05 | 102760517 | 128 | 40929344 | 0.0 | 14.892184 | 14.892184257507324 |
| 160802869044447231 | 159961165400000142 | 5 | y | 55700.611833 | 286.90444463 | 44.00548094 | 0.00409667 | 1.92559e-05 | 0.876026 | 0.741052 | 0.998806 | 0.00403949 | 1.75641e-05 | 102760517 | 128 | 7374912 | 0.0 | 14.868922 | 14.868922233581543 |
| 160802869044447231 | 160459626400000159 | 5 | y | 55705.5964454 | 286.9044489 | 44.0054811 | 0.00331343 | 1.64053e-05 | 1.0118 | 0.84848 | 0.997465 | 0.00327993 | 1.48499e-05 | 102760517 | 128 | 124815424 | 0.0 | 15.099305 | 15.099305152893066 |
| 160802869044447231 | 160460795400000171 | 5 | y | 55705.6081345 | 286.90444684 | 44.00547964 | 0.00321194 | 1.64645e-05 | 1.08121 | 0.990937 | 0.997873 | 0.0031801 | 1.44718e-05 | 102760517 | 128 | 124815424 | 0.0 | 15.133081 | 15.133081436157227 |
| 160802869044447231 | 171023586640000136 | 5 | y | 55811.2360427 | 286.9044525 | 44.00548357 | 0.0042144 | 1.82169e-05 | 0.723151 | 0.662475 | 0.9978 | 0.00425246 | 1.73593e-05 | 102760517 | 128 | 7342144 | 0.0 | 14.83816 | 14.838159561157227 |
| 160802869044447231 | 171024776640000151 | 5 | y | 55811.2479472 | 286.90445276 | 44.00548227 | 0.00425027 | 1.862e-05 | 0.763658 | 0.692114 | 0.997703 | 0.00431336 | 1.74107e-05 | 102760517 | 128 | 7342144 | 0.0 | 14.8289585 | 14.828958511352539 |
| 160802869044447231 | 245335002470000153 | 5 | y | 56554.3504901 | 286.90445085 | 44.00547784 | 0.00427093 | 1.24367e-05 | 1.46348 | 1.40394 | 0.972607 | 0.00426433 | 9.76066e-06 | 102760517 | 128 | 7374912 | 0.0 | 14.823693 | 14.82369327545166 |
t = detection_TAP_results['obsTime']
dmag = detection_TAP_results['dmag']
xlim = np.array([t.min(),t.max()])
xlim = xlim + np.array([-1,1])*0.02*(xlim[1]-xlim[0])
ylim = np.array([dmag.max(),dmag.min()])
ylim = ylim + np.array([-1,1])*0.02*(ylim[1]-ylim[0])
pylab.rcParams.update({'font.size': 14})
pylab.figure(1,(10,10))
for i, filter in enumerate(['g','r','i','z','y']):
pylab.subplot(511+i)
w = np.where(detection_TAP_results['filterType']==filter)[0]
pylab.plot(t[w],dmag[w],'-o')
magmean = detection_TAP_results['magmean'][w[0]]
pylab.ylabel('{} [mag - {:.2f}]'.format(filter,magmean))
pylab.xlim(xlim)
pylab.ylim(ylim)
if i==0:
pylab.title(objname)
pylab.xlabel('Time [MJD]')
pylab.tight_layout()
Eclipsing binaries basically vary by same amount in all filters since it is a geometrical effect, so combine the data into a single light curve.
Wrap using known period and plot versus phase. Plot two periods of the light curve this time.
This nice light curve appears to show a secondary eclipse.
period = 3.6071431
bjd0 = 54999.289794
t = ((detection_TAP_results['obsTime']-bjd0) % period) / period
dmag = detection_TAP_results['dmag']
w = np.argsort(t)
# extend to two periods
nw = len(w)
w = np.append(w,w)
t = t[w]
# add one to second period
t[-nw:] += 1
dmag = dmag[w]
xlim = [0,2.0]
ylim = np.array([dmag.max(),dmag.min()])
ylim = ylim + np.array([-1,1])*0.02*(ylim[1]-ylim[0])
pylab.rcParams.update({'font.size': 14})
pylab.figure(1,(12,6))
pylab.plot(t,dmag,'-o')
pylab.xlim(xlim)
pylab.ylim(ylim)
pylab.xlabel('Phase')
pylab.ylabel('Delta magnitude from mean [mag]')
pylab.title(objname)
pylab.tight_layout()
Additional Resources#
Table Access Protocol#
IVOA standard for RESTful web service access to tabular data
http://www.ivoa.net/documents/TAP/
PanSTARRS 1 DR 2#
Catalog for PanSTARRS with additional Detection information
https://outerspace.stsci.edu/display/PANSTARRS/
Astronomical Query Data Language (2.0)#
IVOA standard for querying astronomical data in tabular format, with geometric search support
http://www.ivoa.net/documents/latest/ADQL.html
PyVO#
an affiliated package for astropy
find and retrieve astronomical data available from archives that support standard IVOA virtual observatory service protocols.
https://pyvo.readthedocs.io/en/latest/index.html
About this Notebook#
Authors: Rick White & Theresa Dower, STScI Archive Scientist & Software Engineer
Last Updated: Feb 2024
For support, please contact the Archive HelpDesk at archive@stsci.edu.
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