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Nicoals Chotard
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lsst.obs.cfht.MegacamMapper |
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#I am not sure about the following line <== To be checked | ||
config.badMaskPlanes = ("BAD", "EDGE", "SAT", "INTRP", "NO_DATA",) | ||
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# config.doMatchBackgrounds = False | ||
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# Mask planes to remove before coadding | ||
config.removeMaskPlanes=['NOT_DEBLENDED'] # ['CROSSTALK', 'NOT_DEBLENDED'] |
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# Configuration file for detectCoaddSources |
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import lsst.meas.modelfit | ||
import lsst.shapelet | ||
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# ==> WARNING <== CModel cannot be run on forcedCcd at the moment | ||
#config.measurement.plugins.names |= ["modelfit_DoubleShapeletPsfApprox", "modelfit_CModel"] | ||
#config.measurement.slots.modelFlux = "modelfit_CModel" | ||
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# modelfit_CModel is the default to compute source extendedness, so we have to redefine the modelFlux | ||
config.measurement.slots.modelFlux = "base_GaussianFlux" | ||
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import lsst.meas.extensions.shapeHSM | ||
config.measurement.plugins.names |= ["ext_shapeHSM_HsmShapeRegauss", "ext_shapeHSM_HsmSourceMoments", | ||
"ext_shapeHSM_HsmPsfMoments"] | ||
config.measurement.plugins['ext_shapeHSM_HsmShapeRegauss'].deblendNChild='' | ||
config.measurement.slots.shape = "ext_shapeHSM_HsmSourceMoments" | ||
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config.doApCorr=True | ||
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#config.measurement.plugins['base_PixelFlags'].masksFpAnywhere.append('CLIPPED') | ||
#config.measurement.plugins['base_PixelFlags'].masksFpCenter.append('BRIGHT_OBJECT') | ||
#config.measurement.plugins['base_PixelFlags'].masksFpAnywhere.append('BRIGHT_OBJECT') |
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import lsst.meas.modelfit | ||
import lsst.shapelet | ||
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config.measurement.plugins.names |= ["modelfit_GeneralShapeletPsfApprox", "modelfit_DoubleShapeletPsfApprox", "modelfit_CModel"] | ||
config.measurement.slots.modelFlux = "modelfit_CModel" | ||
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config.doApCorr=True | ||
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#config.measurement.plugins['base_PixelFlags'].masksFpAnywhere.append('CLIPPED') | ||
# These do not work anymore?? | ||
#config.measurement.plugins['base_PixelFlags'].masksFpCenter.append('BRIGHT_OBJECT') | ||
#config.measurement.plugins['base_PixelFlags'].masksFpAnywhere.append('BRIGHT_OBJECT') |
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# overrides for pipe_tasks CoaddTask.ConfigClass | ||
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config.bgSubtracted=True | ||
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# The following should be set to True if one wants to use the WCS updated by jointcal | ||
config.doApplyUberCal=True |
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# Configuration file for jointcal | ||
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from lsst.meas.algorithms import LoadIndexedReferenceObjectsTask | ||
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# Select external catalogs for Astrometry | ||
config.astrometryRefObjLoader.retarget(LoadIndexedReferenceObjectsTask) | ||
config.astrometryRefObjLoader.ref_dataset_name='pan-starrs' | ||
config.astrometryRefObjLoader.filterMap = { | ||
'u':'g', | ||
'g':'g', | ||
'r':'r', | ||
'r2':'r', | ||
'i':'i', | ||
'i2': 'i', | ||
'i3': 'i', | ||
'z':'z', | ||
'y':'y', | ||
} | ||
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# Type of model to fit to astrometry | ||
# Allowed values: | ||
# simplePoly One polynomial per ccd | ||
# constrainedPoly One polynomial per ccd, and one polynomial per visit | ||
# None Field is optional | ||
# | ||
config.astrometryModel='simplePoly' # for the record (default value) | ||
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# Select external catalogs for Photometry | ||
config.doPhotometry = False # True # comment out to run the photometric calibration | ||
config.photometryRefObjLoader.retarget(LoadIndexedReferenceObjectsTask) | ||
config.photometryRefObjLoader.ref_dataset_name='sdss' | ||
config.photometryRefObjLoader.filterMap = { | ||
'u': 'U', | ||
'g': 'G', | ||
'r': 'R', | ||
'r2': 'R', | ||
'i': 'I', | ||
'i2': 'I', | ||
'i3': 'I', | ||
'z': 'Z', | ||
'y': 'Z', | ||
} | ||
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# These are the default values | ||
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# Minimum allowed signal-to-noise ratio for sources used for matching | ||
# (in the flux specified by sourceFluxType); <= 0 for no limit | ||
# config.sourceSelector['matcher'].minSnr = 40.0 | ||
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# Minimum allowed signal-to-noise ratio for sources used for matching | ||
# (in the flux specified by sourceFluxType); <= 0 for no limit | ||
config.sourceSelector['astrometry'].minSnr = 40.0 # default is 10 | ||
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# This is the SkyMap configuration file for CFHT / Megacam | ||
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config.skyMap.projection='TAN' | ||
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# dimensions of inner region of patches (x,y pixels) | ||
config.skyMap.patchInnerDimensions=[4000, 4000] | ||
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# nominal pixel scale (arcsec/pixel) | ||
config.skyMap.pixelScale=0.185 |
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config.skyMap.name = "rings" | ||
config.skyMap["rings"].numRings = 120 | ||
config.skyMap["rings"].projection = "TAN" | ||
config.skyMap["rings"].tractOverlap = 1.0/60 # Overlap between tracts (degrees) | ||
config.skyMap["rings"].pixelScale = 0.185 |
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# Configuration file for measureCoaddSources | ||
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import lsst.meas.extensions.shapeHSM | ||
hsm_plugins = set([ | ||
"ext_shapeHSM_HsmShapeBj", # Bernstein & Jarvis 2002 | ||
"ext_shapeHSM_HsmShapeLinear", # Hirata & Seljak 2003 | ||
"ext_shapeHSM_HsmShapeKsb", # KSB 1995 | ||
"ext_shapeHSM_HsmShapeRegauss", # Hirata & Seljak 2003 | ||
"ext_shapeHSM_HsmSourceMoments",# Not PSF corrected; used by all of the above | ||
"ext_shapeHSM_HsmPsfMoments", # Moments of the PSF, used by all of the above | ||
]) | ||
config.measurement.plugins.names |= hsm_plugins | ||
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config.measurement.plugins['ext_shapeHSM_HsmShapeRegauss'].deblendNChild='' | ||
config.measurement.slots.shape = "ext_shapeHSM_HsmSourceMoments" | ||
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import lsst.meas.modelfit | ||
import lsst.shapelet | ||
import lsst.meas.extensions.convolved # noqa: Load flux.convolved algorithm | ||
#import lsst.meas.extensions.photometryKron | ||
# root.algorithms.names |= ["flux.kron"] | ||
config.measurement.plugins.names |= ["modelfit_DoubleShapeletPsfApprox", | ||
"modelfit_CModel", | ||
"ext_convolved_ConvolvedFlux"] | ||
config.measurement.plugins["ext_convolved_ConvolvedFlux"].seeing.append(8.0) | ||
config.measurement.slots.modelFlux = "modelfit_CModel" | ||
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config.doApCorr=True | ||
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# Name of the ingested reference dataset | ||
config.match.refObjLoader.ref_dataset_name='sdss' | ||
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# Mapping of camera filter name: reference catalog filter name; each reference filter must exist | ||
config.match.refObjLoader.filterMap={ | ||
'u': 'U', | ||
'g': 'G', | ||
'r': 'R', | ||
'r2': 'R', | ||
'i': 'I', | ||
'i2': 'I', | ||
'i3': 'I', | ||
'z': 'Z', | ||
'y': 'Z', | ||
} | ||
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# Maximum linear dimension for footprints before they are ignored as large; non-positive means no threshold applied | ||
config.deblend.maxFootprintSize=2000 # same as for processCcd |
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config.priorityList = ["i", "r", "z", "g", "u",] |
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config.priorityList = ["i", "r", "z", "g", "u",] |
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# Apply the brighter fatter correction | ||
config.isr.doBrighterFatter=False | ||
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config.charImage.repair.cosmicray.nCrPixelMax=1000000 | ||
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# Useful to get to avoid deblending of satellite tracks | ||
config.calibrate.deblend.maxFootprintSize=2000 # 2200 | ||
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# Use psfex instead of pca | ||
import lsst.meas.extensions.psfex.psfexPsfDeterminer | ||
config.charImage.measurePsf.psfDeterminer.name='psfex' | ||
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# The following should be included for u filter in order to lower the source detection threshold | ||
#config.charImage.detection.includeThresholdMultiplier=1.0 | ||
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# Run CModel | ||
import lsst.meas.modelfit | ||
import lsst.meas.extensions.convolved # noqa: Load flux.convolved algorithm | ||
config.charImage.measurement.plugins.names |= ["modelfit_DoubleShapeletPsfApprox", | ||
"modelfit_CModel", | ||
"ext_convolved_ConvolvedFlux"] | ||
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# Run astrometry using the new htm reference catalog format | ||
# The following retargets are necessary until the new scheme becomes standard | ||
from lsst.meas.algorithms import LoadIndexedReferenceObjectsTask | ||
config.calibrate.astromRefObjLoader.retarget(LoadIndexedReferenceObjectsTask) | ||
config.calibrate.photoRefObjLoader.retarget(LoadIndexedReferenceObjectsTask) | ||
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# Use new astrometry fitter | ||
from lsst.meas.astrom import FitSipDistortionTask | ||
config.calibrate.astrometry.wcsFitter.retarget(FitSipDistortionTask) | ||
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config.calibrate.astrometry.wcsFitter.order = 3 | ||
config.calibrate.astrometry.matcher.maxMatchDistArcSec=5 | ||
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# Select external catalogs for Astrometry and Photometry | ||
config.calibrate.photoRefObjLoader.ref_dataset_name='sdss' | ||
#config.calibrate.astromRefObjLoader.ref_dataset_name='gaia' | ||
config.calibrate.astromRefObjLoader.ref_dataset_name='pan-starrs' | ||
#config.calibrate.astromRefObjLoader.ref_dataset_name='sdss' | ||
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# Astrometry with panstarrs | ||
config.calibrate.astromRefObjLoader.filterMap = { | ||
'u':'g', | ||
'g':'g', | ||
'r':'r', | ||
'r2':'r', | ||
'i':'i', | ||
'i2': 'i', | ||
'i3': 'i', | ||
'z':'z', | ||
'y':'y', | ||
} | ||
# Astrometry with gaia | ||
#config.calibrate.astromRefObjLoader.filterMap = { | ||
# 'u':'phot_g_mean_mag', | ||
# 'g':'phot_g_mean_mag', | ||
# 'r':'phot_g_mean_mag', | ||
# 'i':'phot_g_mean_mag', | ||
# 'z':'phot_g_mean_mag', | ||
# 'y':'phot_g_mean_mag', | ||
#} | ||
# Photometry with sdss | ||
config.calibrate.photoRefObjLoader.filterMap = { | ||
'u': 'U', | ||
'g': 'G', | ||
'r': 'R', | ||
'r2': 'R', | ||
'i': 'I', | ||
'i2': 'I', | ||
'i3': 'I', | ||
'z': 'Z', | ||
'y': 'Z', | ||
} | ||
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#Astrometry with sdss | ||
#config.calibrate.astromRefObjLoader.filterMap = { | ||
# 'u': 'U', | ||
# 'g': 'G', | ||
# 'r': 'R', | ||
# 'i': 'I', | ||
# 'z': 'Z', | ||
# 'y': 'Z', | ||
#} | ||
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import lsst.pipe.tasks.colorterms | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['i2']=lsst.pipe.tasks.colorterms.Colorterm() | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['i2'].c2=0.0 | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['i2'].c1=0.003 | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['i2'].c0=0.0 | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['i2'].primary='i' | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['i2'].secondary='r' | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['i3']=lsst.pipe.tasks.colorterms.Colorterm() | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['i3'].c2=0.0 | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['i3'].c1=0.003 | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['i3'].c0=0.0 | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['i3'].primary='i' | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['i3'].secondary='r' | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['r2']=lsst.pipe.tasks.colorterms.Colorterm() | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['r2'].c2=0.0 | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['r2'].c1=0.024 | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['r2'].c0=0.0 | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['r2'].primary='r' | ||
config.calibrate.photoCal.colorterms.data['e2v'].data['r2'].secondary='g' | ||
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# use Chebyshev background estimation | ||
config.charImage.background.useApprox=True | ||
config.charImage.detection.background.binSize=128 | ||
config.charImage.detection.background.useApprox=True | ||
config.charImage.background.binSize = 128 | ||
config.charImage.background.undersampleStyle = 'REDUCE_INTERP_ORDER' | ||
config.charImage.detection.background.binSize = 128 | ||
config.charImage.detection.background.undersampleStyle='REDUCE_INTERP_ORDER' | ||
config.charImage.detection.background.binSize = 128 | ||
config.charImage.detection.background.undersampleStyle = 'REDUCE_INTERP_ORDER' | ||
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# Convolved fluxes can fail for small target seeing if the observation seeing is larger | ||
if "ext_convolved_ConvolvedFlux" in config.charImage.measurement.plugins: | ||
config.charImage.measurement.plugins["ext_convolved_ConvolvedFlux"].seeing.append(8.0) | ||
names = config.charImage.measurement.plugins["ext_convolved_ConvolvedFlux"].getAllResultNames() | ||
config.charImage.measureApCorr.allowFailure += names |
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