import lsst.pipe.drivers.singleFrameDriver assert type(config)==lsst.pipe.drivers.singleFrameDriver.SingleFrameDriverConfig, 'config is of type %s.%s instead of lsst.pipe.drivers.singleFrameDriver.SingleFrameDriverConfig' % (type(config).__module__, type(config).__name__) import lsst.meas.modelfit.optimizer.optimizerContinued import lsst.shapelet.generator import lsst.meas.base.peakLikelihoodFlux import lsst.pipe.tasks.postprocess import lsst.meas.base.baseMeasurement import lsst.pipe.tasks.calibrate import lsst.meas.base.sfm import lsst.pipe.tasks.colorterms import lsst.shapelet.gaussHermiteConvolution import lsst.shapelet.radialProfile.radialProfileContinued import lsst.meas.modelfit.multiModel import lsst.meas.deblender.sourceDeblendTask import lsst.meas.modelfit.priors.priorsContinued import lsst.pipe.tasks.photoCal import lsst.meas.modelfit.version import lsst.meas.algorithms.astrometrySourceSelector import lsst.meas.base.pixelFlags import lsst.shapelet.constants.constants import lsst.shapelet.shapeletFunction.shapeletFunction import lsst.meas.base.applyApCorr import lsst.pipe.tasks.measurePsf import lsst.shapelet.multiShapeletFunction.multiShapeletFunctionContinued import lsst.meas.base.gaussianFlux import lsst.meas.algorithms.gaussianPsfFactory import lsst.meas.algorithms.matcherSourceSelector import lsst.ip.isr.fringe import lsst.obs.subaru.strayLight.yStrayLight import lsst.shapelet.functorKeys import lsst.meas.base.apertureFlux import lsst.meas.modelfit.cmodel.cmodelContinued import lsst.shapelet.basisEvaluator import lsst.meas.modelfit.integrals import lsst.meas.extensions.psfex.psfexPsfDeterminer import lsst.meas.modelfit.model import lsst.ip.isr.straylight import lsst.meas.extensions.shapeHSM.hsmMomentsControl import lsst.ip.isr.isrQa import lsst.meas.astrom.astrometry import lsst.shapelet.multiShapeletBasis import lsst.afw.math.chebyshevBoundedFieldConfig import lsst.shapelet import lsst.ip.isr.overscan import lsst.ip.isr.crosstalk import lsst.meas.base.footprintArea import lsst.pipe.tasks.setPrimaryFlags import lsst.meas.base.noiseReplacer import lsst.meas.algorithms.makePsfCandidates import lsst.meas.modelfit.unitTransformedLikelihood import lsst.shapelet.multiShapeletFunction.multiShapeletFunction import lsst.meas.astrom.matchPessimisticB import lsst.pipe.tasks.interpImage import lsst.obs.subaru.filterFraction import lsst.shapelet.multiShapeletFunction import lsst.meas.algorithms.loadIndexedReferenceObjects import lsst.pipe.tasks.repair import lsst.shapelet.gaussHermiteProjection import lsst.meas.algorithms.sourceSelector import lsst.shapelet.shapeletFunction import lsst.meas.modelfit.cmodel.cmodel import lsst.meas.base.localBackground import lsst.meas.modelfit.likelihood import lsst.meas.algorithms.objectSizeStarSelector import lsst.meas.algorithms.subtractBackground import lsst.shapelet.hermiteTransformMatrix import lsst.meas.base.catalogCalculation import lsst.shapelet.tractor import lsst.shapelet.radialProfile.radialProfile import lsst.meas.astrom.directMatch import lsst.pipe.tasks.processCcd import lsst.meas.extensions.shapeHSM import lsst.meas.base.sdssCentroid import lsst.shapelet.constants.constantsContinued import lsst.meas.base.sdssShape import lsst.meas.base.psfFlux import lsst.pipe.base.config import lsst.meas.modelfit.priors import lsst.ip.isr.masking import lsst.meas.extensions.shapeHSM.hsmShapeControl import lsst.ip.isr.isrTask import lsst.pipe.tasks.fakes import lsst.meas.extensions.shapeHSM.version import lsst.meas.algorithms.findCosmicRaysConfig import lsst.pipe.tasks.characterizeImage import lsst.meas.modelfit.unitSystem import lsst.meas.modelfit.mixture import lsst.meas.modelfit.optimizer.optimizer import lsst.meas.modelfit.psf import lsst.meas.modelfit.common import lsst.meas.modelfit.priors.priors import lsst.meas.modelfit.optimizer import lsst.meas.modelfit.pixelFitRegion.pixelFitRegionContinued import lsst.shapelet.constants import lsst.meas.modelfit.pixelFitRegion import lsst.ip.isr.vignette import lsst.shapelet.radialProfile import lsst.meas.astrom.ref_match import lsst.meas.modelfit import lsst.shapelet.shapeletFunction.shapeletFunctionContinued import lsst.meas.modelfit.cmodel import lsst.meas.algorithms.measureApCorr import lsst.ip.isr.assembleCcdTask import lsst.meas.base.wrappers import lsst.meas.algorithms.installGaussianPsf import lsst.meas.algorithms.skyObjects import lsst.meas.algorithms.flaggedSourceSelector import lsst.meas.astrom.fitTanSipWcs import lsst.meas.modelfit.truncatedGaussian import lsst.shapelet.matrixBuilder import lsst.meas.algorithms.pcaPsfDeterminer import lsst.meas.modelfit.psf.psfContinued import lsst.meas.modelfit.pixelFitRegion.pixelFitRegion import lsst.shapelet.version import lsst.meas.modelfit.psf.psf import lsst.meas.base.blendedness import lsst.meas.algorithms.detection import lsst.meas.modelfit.sampler import lsst.meas.base.naiveCentroid import lsst.meas.algorithms.reserveSourcesTask import lsst.meas.base.scaledApertureFlux import lsst.meas.base.plugins import lsst.meas.modelfit.adaptiveImportanceSampler import lsst.meas.base.classification # Flag to enable/disable metadata saving for a task, enabled by default. config.processCcd.isr.saveMetadata=True # Dataset type for input data; users will typically leave this alone, but camera-specific ISR tasks will override it config.processCcd.isr.datasetType='raw' # Fallback default filter name for calibrations. config.processCcd.isr.fallbackFilterName='HSC-R' # Pass observation date when using fallback filter. config.processCcd.isr.useFallbackDate=False # Expect input science images to have a WCS (set False for e.g. spectrographs). config.processCcd.isr.expectWcs=True # FWHM of PSF in arcseconds. config.processCcd.isr.fwhm=1.0 # Calculate ISR statistics while processing? config.processCcd.isr.qa.saveStats=True # Mesh size in X for flatness statistics config.processCcd.isr.qa.flatness.meshX=256 # Mesh size in Y for flatness statistics config.processCcd.isr.qa.flatness.meshY=256 # Clip outliers for flatness statistics? config.processCcd.isr.qa.flatness.doClip=True # Number of sigma deviant a pixel must be to be clipped from flatness statistics. config.processCcd.isr.qa.flatness.clipSigma=3.0 # Number of iterations used for outlier clipping in flatness statistics. config.processCcd.isr.qa.flatness.nIter=3 # Write overscan subtracted image? config.processCcd.isr.qa.doWriteOss=False # Write overscan subtracted thumbnail? config.processCcd.isr.qa.doThumbnailOss=False # Write image after flat-field correction? config.processCcd.isr.qa.doWriteFlattened=False # Write thumbnail after flat-field correction? config.processCcd.isr.qa.doThumbnailFlattened=False # Thumbnail binning factor. config.processCcd.isr.qa.thumbnailBinning=4 # Number of sigma below the background to set the thumbnail minimum. config.processCcd.isr.qa.thumbnailStdev=3.0 # Total range in sigma for thumbnail mapping. config.processCcd.isr.qa.thumbnailRange=5.0 # Softening parameter for thumbnail mapping. config.processCcd.isr.qa.thumbnailQ=20.0 # Width of border around saturated pixels in thumbnail. config.processCcd.isr.qa.thumbnailSatBorder=2 # Convert integer raw images to floating point values? config.processCcd.isr.doConvertIntToFloat=True # Mask saturated pixels? NB: this is totally independent of the interpolation option - this is ONLY setting the bits in the mask. To have them interpolated make sure doSaturationInterpolation=True config.processCcd.isr.doSaturation=True # Name of mask plane to use in saturation detection and interpolation config.processCcd.isr.saturatedMaskName='SAT' # The saturation level to use if no Detector is present in the Exposure (ignored if NaN) config.processCcd.isr.saturation=float('nan') # Number of pixels by which to grow the saturation footprints config.processCcd.isr.growSaturationFootprintSize=1 # Mask suspect pixels? config.processCcd.isr.doSuspect=True # Name of mask plane to use for suspect pixels config.processCcd.isr.suspectMaskName='SUSPECT' # Number of edge pixels to be flagged as untrustworthy. config.processCcd.isr.numEdgeSuspect=0 # Mask edge pixels in which coordinate frame: DETECTOR or AMP? config.processCcd.isr.edgeMaskLevel='DETECTOR' # Should we set the level of all BAD patches of the chip to the chip's average value? config.processCcd.isr.doSetBadRegions=True # How to estimate the average value for BAD regions. config.processCcd.isr.badStatistic='MEANCLIP' # Do overscan subtraction? config.processCcd.isr.doOverscan=True # The method for fitting the overscan bias level. config.processCcd.isr.overscan.fitType='AKIMA_SPLINE' # Order of polynomial to fit if overscan fit type is a polynomial, or number of spline knots if overscan fit type is a spline. config.processCcd.isr.overscan.order=30 # Rejection threshold (sigma) for collapsing overscan before fit config.processCcd.isr.overscan.numSigmaClip=3.0 # Mask planes to reject when measuring overscan config.processCcd.isr.overscan.maskPlanes=['SAT'] # Treat overscan as an integer image for purposes of fitType=MEDIAN and fitType=MEDIAN_PER_ROW. config.processCcd.isr.overscan.overscanIsInt=True # Number of columns to skip in overscan, i.e. those closest to amplifier config.processCcd.isr.overscanNumLeadingColumnsToSkip=0 # Number of columns to skip in overscan, i.e. those farthest from amplifier config.processCcd.isr.overscanNumTrailingColumnsToSkip=0 # Maximum deviation from the median for overscan config.processCcd.isr.overscanMaxDev=1000.0 # Fit the overscan in a piecewise-fashion to correct for bias jumps? config.processCcd.isr.overscanBiasJump=False # Header keyword containing information about devices. config.processCcd.isr.overscanBiasJumpKeyword='NO_SUCH_KEY' # List of devices that need piecewise overscan correction. config.processCcd.isr.overscanBiasJumpDevices=['N', 'O', '_', 'S', 'U', 'C', 'H', '_', 'K', 'E', 'Y'] # Location of bias jump along y-axis. config.processCcd.isr.overscanBiasJumpLocation=-1 # Assemble amp-level exposures into a ccd-level exposure? config.processCcd.isr.doAssembleCcd=True # trim out non-data regions? config.processCcd.isr.assembleCcd.doTrim=True # FITS headers to remove (in addition to DATASEC, BIASSEC, TRIMSEC and perhaps GAIN) config.processCcd.isr.assembleCcd.keysToRemove=['PC001001', 'PC001002', 'PC002001', 'PC002002'] # Assemble amp-level calibration exposures into ccd-level exposure? config.processCcd.isr.doAssembleIsrExposures=False # Trim raw data to match calibration bounding boxes? config.processCcd.isr.doTrimToMatchCalib=False # Apply bias frame correction? config.processCcd.isr.doBias=True # Name of the bias data product config.processCcd.isr.biasDataProductName='bias' # Reverse order of overscan and bias correction. config.processCcd.isr.doBiasBeforeOverscan=False # Calculate variance? config.processCcd.isr.doVariance=True # The gain to use if no Detector is present in the Exposure (ignored if NaN) config.processCcd.isr.gain=float('nan') # The read noise to use if no Detector is present in the Exposure config.processCcd.isr.readNoise=0.0 # Calculate empirical read noise instead of value from AmpInfo data? config.processCcd.isr.doEmpiricalReadNoise=False # Correct for nonlinearity of the detector's response? config.processCcd.isr.doLinearize=True # Apply intra-CCD crosstalk correction? config.processCcd.isr.doCrosstalk=True # Apply crosstalk correction before CCD assembly, and before trimming? config.processCcd.isr.doCrosstalkBeforeAssemble=False # Set crosstalk mask plane for pixels over this value. config.processCcd.isr.crosstalk.minPixelToMask=45000.0 # Name for crosstalk mask plane. config.processCcd.isr.crosstalk.crosstalkMaskPlane='CROSSTALK' # Type of background subtraction to use when applying correction. config.processCcd.isr.crosstalk.crosstalkBackgroundMethod='DETECTOR' # Ignore the detector crosstalk information in favor of CrosstalkConfig values? config.processCcd.isr.crosstalk.useConfigCoefficients=True # Amplifier-indexed crosstalk coefficients to use. This should be arranged as a 1 x nAmp**2 list of coefficients, such that when reshaped by crosstalkShape, the result is nAmp x nAmp. This matrix should be structured so CT * [amp0 amp1 amp2 ...]^T returns the column vector [corr0 corr1 corr2 ...]^T. config.processCcd.isr.crosstalk.crosstalkValues=[0.0, -0.000124, -0.000171, -0.000157, -0.000125, 0.0, -0.000134, -0.000151, -0.000149, -0.000132, 0.0, -0.000137, -0.000156, -0.000157, -0.000153, 0.0] # Shape of the coefficient array. This should be equal to [nAmp, nAmp]. config.processCcd.isr.crosstalk.crosstalkShape=[4, 4] # Apply correction for CCD defects, e.g. hot pixels? config.processCcd.isr.doDefect=True # Mask NAN pixels? config.processCcd.isr.doNanMasking=True # Widen bleed trails based on their width? config.processCcd.isr.doWidenSaturationTrails=True # Apply the brighter fatter correction config.processCcd.isr.doBrighterFatter=True # The level at which to correct for brighter-fatter. config.processCcd.isr.brighterFatterLevel='DETECTOR' # Maximum number of iterations for the brighter fatter correction config.processCcd.isr.brighterFatterMaxIter=10 # Threshold used to stop iterating the brighter fatter correction. It is the absolute value of the difference between the current corrected image and the one from the previous iteration summed over all the pixels. config.processCcd.isr.brighterFatterThreshold=1000.0 # Should the gain be applied when applying the brighter fatter correction? config.processCcd.isr.brighterFatterApplyGain=True # Number of pixels to grow the masks listed in config.maskListToInterpolate when brighter-fatter correction is applied. config.processCcd.isr.brighterFatterMaskGrowSize=1 # Apply dark frame correction? config.processCcd.isr.doDark=True # Name of the dark data product config.processCcd.isr.darkDataProductName='dark' # Subtract stray light in the y-band (due to encoder LEDs)? config.processCcd.isr.doStrayLight=True config.processCcd.isr.strayLight.retarget(target=lsst.obs.subaru.strayLight.yStrayLight.SubaruStrayLightTask, ConfigClass=lsst.ip.isr.straylight.StrayLightConfig) # config.processCcd.isr.strayLight.doRotatorAngleCorrection=True # Filters that need straylight correction. config.processCcd.isr.strayLight.filters=['y', 'HSC-Y'] # Apply flat field correction? config.processCcd.isr.doFlat=True # Name of the flat data product config.processCcd.isr.flatDataProductName='flat' # The method for scaling the flat on the fly. config.processCcd.isr.flatScalingType='USER' # If flatScalingType is 'USER' then scale flat by this amount; ignored otherwise config.processCcd.isr.flatUserScale=1.0 # Tweak flats to match observed amplifier ratios? config.processCcd.isr.doTweakFlat=False # Correct the amplifiers for their gains instead of applying flat correction config.processCcd.isr.doApplyGains=False # Normalize all the amplifiers in each CCD to have the same median value. config.processCcd.isr.normalizeGains=False # Apply fringe correction? config.processCcd.isr.doFringe=True # Only fringe-subtract these filters config.processCcd.isr.fringe.filters=['y', 'N921', 'N926', 'N973', 'N1010'] # Search filter aliases during check. config.processCcd.isr.fringe.useFilterAliases=False # Number of fringe measurements config.processCcd.isr.fringe.num=30000 # Half-size of small (fringe) measurements (pixels) config.processCcd.isr.fringe.small=3 # Half-size of large (background) measurements (pixels) config.processCcd.isr.fringe.large=30 # Number of fitting iterations config.processCcd.isr.fringe.iterations=20 # Sigma clip threshold config.processCcd.isr.fringe.clip=3.0 # Ignore pixels with these masks config.processCcd.isr.fringe.stats.badMaskPlanes=['SAT', 'NO_DATA', 'SUSPECT', 'BAD'] # Statistic to use config.processCcd.isr.fringe.stats.stat=32 # Sigma clip threshold config.processCcd.isr.fringe.stats.clip=3.0 # Number of fitting iterations config.processCcd.isr.fringe.stats.iterations=3 # Offset to the random number generator seed (full seed includes exposure ID) config.processCcd.isr.fringe.stats.rngSeedOffset=0 # Remove fringe pedestal? config.processCcd.isr.fringe.pedestal=False # Do fringe subtraction after flat-fielding? config.processCcd.isr.fringeAfterFlat=True # Measure the background level on the reduced image? config.processCcd.isr.doMeasureBackground=True # Mask camera-specific bad regions? config.processCcd.isr.doCameraSpecificMasking=False # config.processCcd.isr.masking.doSpecificMasking=False # Interpolate masked pixels? config.processCcd.isr.doInterpolate=True # Perform interpolation over pixels masked as saturated? NB: This is independent of doSaturation; if that is False this plane will likely be blank, resulting in a no-op here. config.processCcd.isr.doSaturationInterpolation=True # Perform interpolation over pixels masked as NaN? NB: This is independent of doNanMasking; if that is False this plane will likely be blank, resulting in a no-op here. config.processCcd.isr.doNanInterpolation=True # If True, ensure we interpolate NaNs after flat-fielding, even if we also have to interpolate them before flat-fielding. config.processCcd.isr.doNanInterpAfterFlat=False # List of mask planes that should be interpolated. config.processCcd.isr.maskListToInterpolate=['SAT', 'BAD', 'UNMASKEDNAN'] # Save a copy of the pre-interpolated pixel values? config.processCcd.isr.doSaveInterpPixels=False # The approximate flux of a zero-magnitude object in a one-second exposure, per filter. config.processCcd.isr.fluxMag0T1={'g': 398107170553.49854, 'r': 398107170553.49854, 'i': 275422870333.81744, 'z': 120226443461.74132, 'y': 91201083935.59116, 'N515': 20892961308.54041, 'N816': 15848931924.611174, 'N921': 19054607179.632523} # Default value for fluxMag0T1 (for an unrecognized filter). config.processCcd.isr.defaultFluxMag0T1=158489319246.11172 # Apply vignetting parameters? config.processCcd.isr.doVignette=True # Center of vignetting pattern, in focal plane x coordinates. config.processCcd.isr.vignette.xCenter=-1.5 # Center of vignetting pattern, in focal plane y coordinates. config.processCcd.isr.vignette.yCenter=1.5 # Radius of vignetting pattern, in focal plane coordinates. config.processCcd.isr.vignette.radius=262.5 # Number of points used to define the vignette polygon. config.processCcd.isr.vignette.numPolygonPoints=100 # Persist polygon used to define vignetted region? config.processCcd.isr.vignette.doWriteVignettePolygon=True # Construct and attach a wavelength-dependent throughput curve for this CCD image? config.processCcd.isr.doAttachTransmissionCurve=True # Load and use transmission_optics (if doAttachTransmissionCurve is True)? config.processCcd.isr.doUseOpticsTransmission=True # Load and use transmission_filter (if doAttachTransmissionCurve is True)? config.processCcd.isr.doUseFilterTransmission=True # Load and use transmission_sensor (if doAttachTransmissionCurve is True)? config.processCcd.isr.doUseSensorTransmission=True # Load and use transmission_atmosphere (if doAttachTransmissionCurve is True)? config.processCcd.isr.doUseAtmosphereTransmission=True # Perform illumination correction? config.processCcd.isr.doIlluminationCorrection=False # Name of the illumination correction data product. config.processCcd.isr.illuminationCorrectionDataProductName='illumcor' # Scale factor for the illumination correction. config.processCcd.isr.illumScale=1.0 # Only perform illumination correction for these filters. config.processCcd.isr.illumFilters=[] # Persist postISRCCD? config.processCcd.isr.doWrite=False # name for connection ccdExposure config.processCcd.isr.connections.ccdExposure='raw' # name for connection camera config.processCcd.isr.connections.camera='camera' # name for connection crosstalk config.processCcd.isr.connections.crosstalk='crosstalk' # name for connection crosstalkSources config.processCcd.isr.connections.crosstalkSources='isrOverscanCorrected' # name for connection bias config.processCcd.isr.connections.bias='bias' # name for connection dark config.processCcd.isr.connections.dark='dark' # name for connection flat config.processCcd.isr.connections.flat='flat' # name for connection fringes config.processCcd.isr.connections.fringes='fringe' # name for connection strayLightData config.processCcd.isr.connections.strayLightData='yBackground' # name for connection bfKernel config.processCcd.isr.connections.bfKernel='bfKernel' # name for connection newBFKernel config.processCcd.isr.connections.newBFKernel='brighterFatterKernel' # name for connection defects config.processCcd.isr.connections.defects='defects' # name for connection opticsTransmission config.processCcd.isr.connections.opticsTransmission='transmission_optics' # name for connection filterTransmission config.processCcd.isr.connections.filterTransmission='transmission_filter' # name for connection sensorTransmission config.processCcd.isr.connections.sensorTransmission='transmission_sensor' # name for connection atmosphereTransmission config.processCcd.isr.connections.atmosphereTransmission='transmission_atmosphere' # name for connection illumMaskedImage config.processCcd.isr.connections.illumMaskedImage='illum' # name for connection outputExposure config.processCcd.isr.connections.outputExposure='postISRCCD' # name for connection preInterpExposure config.processCcd.isr.connections.preInterpExposure='preInterpISRCCD' # name for connection outputOssThumbnail config.processCcd.isr.connections.outputOssThumbnail='OssThumb' # name for connection outputFlattenedThumbnail config.processCcd.isr.connections.outputFlattenedThumbnail='FlattenedThumb' # Flag to enable/disable metadata saving for a task, enabled by default. config.processCcd.charImage.saveMetadata=True # Measure PSF? If False then for all subsequent operations use either existing PSF model when present, or install simple PSF model when not (see installSimplePsf config options) config.processCcd.charImage.doMeasurePsf=True # Persist results? config.processCcd.charImage.doWrite=True # Write icExp and icExpBackground in addition to icSrc? Ignored if doWrite False. config.processCcd.charImage.doWriteExposure=False # Number of iterations of detect sources, measure sources, estimate PSF. If useSimplePsf is True then 2 should be plenty; otherwise more may be wanted. config.processCcd.charImage.psfIterations=2 # type of statistic to use for grid points config.processCcd.charImage.background.statisticsProperty='MEANCLIP' # behaviour if there are too few points in grid for requested interpolation style config.processCcd.charImage.background.undersampleStyle='REDUCE_INTERP_ORDER' # how large a region of the sky should be used for each background point config.processCcd.charImage.background.binSize=128 # Sky region size to be used for each background point in X direction. If 0, the binSize config is used. config.processCcd.charImage.background.binSizeX=0 # Sky region size to be used for each background point in Y direction. If 0, the binSize config is used. config.processCcd.charImage.background.binSizeY=0 # how to interpolate the background values. This maps to an enum; see afw::math::Background config.processCcd.charImage.background.algorithm='AKIMA_SPLINE' # Names of mask planes to ignore while estimating the background config.processCcd.charImage.background.ignoredPixelMask=['BAD', 'EDGE', 'DETECTED', 'DETECTED_NEGATIVE', 'NO_DATA'] # Ignore NaNs when estimating the background config.processCcd.charImage.background.isNanSafe=False # Use Approximate (Chebyshev) to model background. config.processCcd.charImage.background.useApprox=True # Approximation order in X for background Chebyshev (valid only with useApprox=True) config.processCcd.charImage.background.approxOrderX=6 # Approximation order in Y for background Chebyshev (valid only with useApprox=True) config.processCcd.charImage.background.approxOrderY=-1 # Use inverse variance weighting in calculation (valid only with useApprox=True) config.processCcd.charImage.background.weighting=True # detected sources with fewer than the specified number of pixels will be ignored config.processCcd.charImage.detection.minPixels=1 # Pixels should be grown as isotropically as possible (slower) config.processCcd.charImage.detection.isotropicGrow=True # Grow all footprints at the same time? This allows disconnected footprints to merge. config.processCcd.charImage.detection.combinedGrow=True # Grow detections by nSigmaToGrow * [PSF RMS width]; if 0 then do not grow config.processCcd.charImage.detection.nSigmaToGrow=2.4 # Grow detections to set the image mask bits, but return the original (not-grown) footprints config.processCcd.charImage.detection.returnOriginalFootprints=False # Threshold for footprints; exact meaning and units depend on thresholdType. config.processCcd.charImage.detection.thresholdValue=5.0 # Include threshold relative to thresholdValue config.processCcd.charImage.detection.includeThresholdMultiplier=10.0 # specifies the desired flavor of Threshold config.processCcd.charImage.detection.thresholdType='stdev' # specifies whether to detect positive, or negative sources, or both config.processCcd.charImage.detection.thresholdPolarity='positive' # Fiddle factor to add to the background; debugging only config.processCcd.charImage.detection.adjustBackground=0.0 # Estimate the background again after final source detection? config.processCcd.charImage.detection.reEstimateBackground=True # type of statistic to use for grid points config.processCcd.charImage.detection.background.statisticsProperty='MEANCLIP' # behaviour if there are too few points in grid for requested interpolation style config.processCcd.charImage.detection.background.undersampleStyle='REDUCE_INTERP_ORDER' # how large a region of the sky should be used for each background point config.processCcd.charImage.detection.background.binSize=128 # Sky region size to be used for each background point in X direction. If 0, the binSize config is used. config.processCcd.charImage.detection.background.binSizeX=0 # Sky region size to be used for each background point in Y direction. If 0, the binSize config is used. config.processCcd.charImage.detection.background.binSizeY=0 # how to interpolate the background values. This maps to an enum; see afw::math::Background config.processCcd.charImage.detection.background.algorithm='AKIMA_SPLINE' # Names of mask planes to ignore while estimating the background config.processCcd.charImage.detection.background.ignoredPixelMask=['BAD', 'EDGE', 'DETECTED', 'DETECTED_NEGATIVE', 'NO_DATA'] # Ignore NaNs when estimating the background config.processCcd.charImage.detection.background.isNanSafe=False # Use Approximate (Chebyshev) to model background. config.processCcd.charImage.detection.background.useApprox=True # Approximation order in X for background Chebyshev (valid only with useApprox=True) config.processCcd.charImage.detection.background.approxOrderX=6 # Approximation order in Y for background Chebyshev (valid only with useApprox=True) config.processCcd.charImage.detection.background.approxOrderY=-1 # Use inverse variance weighting in calculation (valid only with useApprox=True) config.processCcd.charImage.detection.background.weighting=True # type of statistic to use for grid points config.processCcd.charImage.detection.tempLocalBackground.statisticsProperty='MEANCLIP' # behaviour if there are too few points in grid for requested interpolation style config.processCcd.charImage.detection.tempLocalBackground.undersampleStyle='REDUCE_INTERP_ORDER' # how large a region of the sky should be used for each background point config.processCcd.charImage.detection.tempLocalBackground.binSize=64 # Sky region size to be used for each background point in X direction. If 0, the binSize config is used. config.processCcd.charImage.detection.tempLocalBackground.binSizeX=0 # Sky region size to be used for each background point in Y direction. If 0, the binSize config is used. config.processCcd.charImage.detection.tempLocalBackground.binSizeY=0 # how to interpolate the background values. This maps to an enum; see afw::math::Background config.processCcd.charImage.detection.tempLocalBackground.algorithm='AKIMA_SPLINE' # Names of mask planes to ignore while estimating the background config.processCcd.charImage.detection.tempLocalBackground.ignoredPixelMask=['BAD', 'EDGE', 'DETECTED', 'DETECTED_NEGATIVE', 'NO_DATA'] # Ignore NaNs when estimating the background config.processCcd.charImage.detection.tempLocalBackground.isNanSafe=False # Use Approximate (Chebyshev) to model background. config.processCcd.charImage.detection.tempLocalBackground.useApprox=False # Approximation order in X for background Chebyshev (valid only with useApprox=True) config.processCcd.charImage.detection.tempLocalBackground.approxOrderX=6 # Approximation order in Y for background Chebyshev (valid only with useApprox=True) config.processCcd.charImage.detection.tempLocalBackground.approxOrderY=-1 # Use inverse variance weighting in calculation (valid only with useApprox=True) config.processCcd.charImage.detection.tempLocalBackground.weighting=True # Enable temporary local background subtraction? (see tempLocalBackground) config.processCcd.charImage.detection.doTempLocalBackground=False # type of statistic to use for grid points config.processCcd.charImage.detection.tempWideBackground.statisticsProperty='MEANCLIP' # behaviour if there are too few points in grid for requested interpolation style config.processCcd.charImage.detection.tempWideBackground.undersampleStyle='REDUCE_INTERP_ORDER' # how large a region of the sky should be used for each background point config.processCcd.charImage.detection.tempWideBackground.binSize=512 # Sky region size to be used for each background point in X direction. If 0, the binSize config is used. config.processCcd.charImage.detection.tempWideBackground.binSizeX=0 # Sky region size to be used for each background point in Y direction. If 0, the binSize config is used. config.processCcd.charImage.detection.tempWideBackground.binSizeY=0 # how to interpolate the background values. This maps to an enum; see afw::math::Background config.processCcd.charImage.detection.tempWideBackground.algorithm='AKIMA_SPLINE' # Names of mask planes to ignore while estimating the background config.processCcd.charImage.detection.tempWideBackground.ignoredPixelMask=['BAD', 'EDGE', 'NO_DATA'] # Ignore NaNs when estimating the background config.processCcd.charImage.detection.tempWideBackground.isNanSafe=False # Use Approximate (Chebyshev) to model background. config.processCcd.charImage.detection.tempWideBackground.useApprox=False # Approximation order in X for background Chebyshev (valid only with useApprox=True) config.processCcd.charImage.detection.tempWideBackground.approxOrderX=6 # Approximation order in Y for background Chebyshev (valid only with useApprox=True) config.processCcd.charImage.detection.tempWideBackground.approxOrderY=-1 # Use inverse variance weighting in calculation (valid only with useApprox=True) config.processCcd.charImage.detection.tempWideBackground.weighting=True # Do temporary wide (large-scale) background subtraction before footprint detection? config.processCcd.charImage.detection.doTempWideBackground=False # The maximum number of peaks in a Footprint before trying to replace its peaks using the temporary local background config.processCcd.charImage.detection.nPeaksMaxSimple=1 # Multiple of PSF RMS size to use for convolution kernel bounding box size; note that this is not a half-size. The size will be rounded up to the nearest odd integer config.processCcd.charImage.detection.nSigmaForKernel=7.0 # Mask planes to ignore when calculating statistics of image (for thresholdType=stdev) config.processCcd.charImage.detection.statsMask=['BAD', 'SAT', 'EDGE', 'NO_DATA'] # Run deblender input exposure config.processCcd.charImage.doDeblend=False # What to do when a peak to be deblended is close to the edge of the image config.processCcd.charImage.deblend.edgeHandling='ramp' # When the deblender should attribute stray flux to point sources config.processCcd.charImage.deblend.strayFluxToPointSources='necessary' # Assign stray flux (not claimed by any child in the deblender) to deblend children. config.processCcd.charImage.deblend.assignStrayFlux=True # How to split flux among peaks config.processCcd.charImage.deblend.strayFluxRule='trim' # When splitting stray flux, clip fractions below this value to zero. config.processCcd.charImage.deblend.clipStrayFluxFraction=0.001 # Chi-squared per DOF cut for deciding a source is a PSF during deblending (un-shifted PSF model) config.processCcd.charImage.deblend.psfChisq1=1.5 # Chi-squared per DOF cut for deciding a source is PSF during deblending (shifted PSF model) config.processCcd.charImage.deblend.psfChisq2=1.5 # Chi-squared per DOF cut for deciding a source is a PSF during deblending (shifted PSF model #2) config.processCcd.charImage.deblend.psfChisq2b=1.5 # Only deblend the brightest maxNumberOfPeaks peaks in the parent (<= 0: unlimited) config.processCcd.charImage.deblend.maxNumberOfPeaks=0 # Maximum area for footprints before they are ignored as large; non-positive means no threshold applied config.processCcd.charImage.deblend.maxFootprintArea=10000 # Maximum linear dimension for footprints before they are ignored as large; non-positive means no threshold applied config.processCcd.charImage.deblend.maxFootprintSize=0 # Minimum axis ratio for footprints before they are ignored as large; non-positive means no threshold applied config.processCcd.charImage.deblend.minFootprintAxisRatio=0.0 # Mask name for footprints not deblended, or None config.processCcd.charImage.deblend.notDeblendedMask='NOT_DEBLENDED' # Footprints smaller in width or height than this value will be ignored; minimum of 2 due to PSF gradient calculation. config.processCcd.charImage.deblend.tinyFootprintSize=2 # Guarantee that all peaks produce a child source. config.processCcd.charImage.deblend.propagateAllPeaks=False # If True, catch exceptions thrown by the deblender, log them, and set a flag on the parent, instead of letting them propagate up config.processCcd.charImage.deblend.catchFailures=False # Mask planes to ignore when performing statistics config.processCcd.charImage.deblend.maskPlanes=['SAT', 'INTRP', 'NO_DATA'] # Mask planes with the corresponding limit on the fraction of masked pixels. Sources violating this limit will not be deblended. config.processCcd.charImage.deblend.maskLimits={'NO_DATA': 0.25} # If true, a least-squares fit of the templates will be done to the full image. The templates will be re-weighted based on this fit. config.processCcd.charImage.deblend.weightTemplates=False # Try to remove similar templates? config.processCcd.charImage.deblend.removeDegenerateTemplates=False # If the dot product between two templates is larger than this value, we consider them to be describing the same object (i.e. they are degenerate). If one of the objects has been labeled as a PSF it will be removed, otherwise the template with the lowest value will be removed. config.processCcd.charImage.deblend.maxTempDotProd=0.5 # Apply a smoothing filter to all of the template images config.processCcd.charImage.deblend.medianSmoothTemplate=True # the name of the centroiding algorithm used to set source x,y config.processCcd.charImage.measurement.slots.centroid='base_SdssCentroid' # the name of the algorithm used to set source moments parameters config.processCcd.charImage.measurement.slots.shape='ext_shapeHSM_HsmSourceMoments' # the name of the algorithm used to set PSF moments parameters config.processCcd.charImage.measurement.slots.psfShape='ext_shapeHSM_HsmPsfMoments' # the name of the algorithm used to set the source aperture instFlux slot config.processCcd.charImage.measurement.slots.apFlux='base_CircularApertureFlux_12_0' # the name of the algorithm used to set the source model instFlux slot config.processCcd.charImage.measurement.slots.modelFlux='modelfit_CModel' # the name of the algorithm used to set the source psf instFlux slot config.processCcd.charImage.measurement.slots.psfFlux='base_PsfFlux' # the name of the algorithm used to set the source Gaussian instFlux slot config.processCcd.charImage.measurement.slots.gaussianFlux='base_GaussianFlux' # the name of the instFlux measurement algorithm used for calibration config.processCcd.charImage.measurement.slots.calibFlux='base_CircularApertureFlux_12_0' # When measuring, replace other detected footprints with noise? config.processCcd.charImage.measurement.doReplaceWithNoise=True # How to choose mean and variance of the Gaussian noise we generate? config.processCcd.charImage.measurement.noiseReplacer.noiseSource='measure' # Add ann offset to the generated noise. config.processCcd.charImage.measurement.noiseReplacer.noiseOffset=0.0 # The seed multiplier value to use for random number generation: # >= 1: set the seed deterministically based on exposureId # 0: fall back to the afw.math.Random default constructor (which uses a seed value of 1) config.processCcd.charImage.measurement.noiseReplacer.noiseSeedMultiplier=1 # Prefix to give undeblended plugins config.processCcd.charImage.measurement.undeblendedPrefix='undeblended_' # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_PsfFlux'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.charImage.measurement.plugins['base_PsfFlux'].badMaskPlanes=[] # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_PeakLikelihoodFlux'].doMeasure=True # Name of warping kernel (e.g. "lanczos4") used to compute the peak config.processCcd.charImage.measurement.plugins['base_PeakLikelihoodFlux'].warpingKernelName='lanczos4' # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_GaussianFlux'].doMeasure=True # FIXME! NEVER DOCUMENTED! config.processCcd.charImage.measurement.plugins['base_GaussianFlux'].background=0.0 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_NaiveCentroid'].doMeasure=True # Value to subtract from the image pixel values config.processCcd.charImage.measurement.plugins['base_NaiveCentroid'].background=0.0 # Do check that the centroid is contained in footprint. config.processCcd.charImage.measurement.plugins['base_NaiveCentroid'].doFootprintCheck=True # If set > 0, Centroid Check also checks distance from footprint peak. config.processCcd.charImage.measurement.plugins['base_NaiveCentroid'].maxDistToPeak=-1.0 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_SdssCentroid'].doMeasure=True # maximum allowed binning config.processCcd.charImage.measurement.plugins['base_SdssCentroid'].binmax=16 # Do check that the centroid is contained in footprint. config.processCcd.charImage.measurement.plugins['base_SdssCentroid'].doFootprintCheck=True # If set > 0, Centroid Check also checks distance from footprint peak. config.processCcd.charImage.measurement.plugins['base_SdssCentroid'].maxDistToPeak=-1.0 # if the peak's less than this insist on binning at least once config.processCcd.charImage.measurement.plugins['base_SdssCentroid'].peakMin=-1.0 # fiddle factor for adjusting the binning config.processCcd.charImage.measurement.plugins['base_SdssCentroid'].wfac=1.5 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_PixelFlags'].doMeasure=True # List of mask planes to be searched for which occur anywhere within a footprint. If any of the planes are found they will have a corresponding pixel flag set. config.processCcd.charImage.measurement.plugins['base_PixelFlags'].masksFpAnywhere=[] # List of mask planes to be searched for which occur in the center of a footprint. If any of the planes are found they will have a corresponding pixel flag set. config.processCcd.charImage.measurement.plugins['base_PixelFlags'].masksFpCenter=[] # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_SdssShape'].doMeasure=True # Additional value to add to background config.processCcd.charImage.measurement.plugins['base_SdssShape'].background=0.0 # Whether to also compute the shape of the PSF model config.processCcd.charImage.measurement.plugins['base_SdssShape'].doMeasurePsf=True # Maximum number of iterations config.processCcd.charImage.measurement.plugins['base_SdssShape'].maxIter=100 # Maximum centroid shift, limited to 2-10 config.processCcd.charImage.measurement.plugins['base_SdssShape'].maxShift=0.0 # Convergence tolerance for e1,e2 config.processCcd.charImage.measurement.plugins['base_SdssShape'].tol1=9.999999747378752e-06 # Convergence tolerance for FWHM config.processCcd.charImage.measurement.plugins['base_SdssShape'].tol2=9.999999747378752e-05 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_ScaledApertureFlux'].doMeasure=True # Scaling factor of PSF FWHM for aperture radius. config.processCcd.charImage.measurement.plugins['base_ScaledApertureFlux'].scale=3.14 # Warping kernel used to shift Sinc photometry coefficients to different center positions config.processCcd.charImage.measurement.plugins['base_ScaledApertureFlux'].shiftKernel='lanczos5' # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_CircularApertureFlux'].doMeasure=True # Maximum radius (in pixels) for which the sinc algorithm should be used instead of the faster naive algorithm. For elliptical apertures, this is the minor axis radius. config.processCcd.charImage.measurement.plugins['base_CircularApertureFlux'].maxSincRadius=12.0 # Radius (in pixels) of apertures. config.processCcd.charImage.measurement.plugins['base_CircularApertureFlux'].radii=[3.0, 4.5, 6.0, 9.0, 12.0, 17.0, 25.0, 35.0, 50.0, 70.0] # Warping kernel used to shift Sinc photometry coefficients to different center positions config.processCcd.charImage.measurement.plugins['base_CircularApertureFlux'].shiftKernel='lanczos5' # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_Blendedness'].doMeasure=True # Whether to compute quantities related to the Gaussian-weighted flux config.processCcd.charImage.measurement.plugins['base_Blendedness'].doFlux=True # Whether to compute HeavyFootprint dot products (the old deblend.blendedness parameter) config.processCcd.charImage.measurement.plugins['base_Blendedness'].doOld=True # Whether to compute quantities related to the Gaussian-weighted shape config.processCcd.charImage.measurement.plugins['base_Blendedness'].doShape=True # Radius factor that sets the maximum extent of the weight function (and hence the flux measurements) config.processCcd.charImage.measurement.plugins['base_Blendedness'].nSigmaWeightMax=3.0 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_LocalBackground'].doMeasure=True # Inner radius for background annulus as a multiple of the PSF sigma config.processCcd.charImage.measurement.plugins['base_LocalBackground'].annulusInner=7.0 # Outer radius for background annulus as a multiple of the PSF sigma config.processCcd.charImage.measurement.plugins['base_LocalBackground'].annulusOuter=15.0 # Mask planes that indicate pixels that should be excluded from the measurement config.processCcd.charImage.measurement.plugins['base_LocalBackground'].badMaskPlanes=['BAD', 'SAT', 'NO_DATA'] # Number of sigma-clipping iterations for background measurement config.processCcd.charImage.measurement.plugins['base_LocalBackground'].bgIter=3 # Rejection threshold (in standard deviations) for background measurement config.processCcd.charImage.measurement.plugins['base_LocalBackground'].bgRej=3.0 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_FPPosition'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_Jacobian'].doMeasure=True # Nominal pixel size (arcsec) config.processCcd.charImage.measurement.plugins['base_Jacobian'].pixelScale=0.168 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_Variance'].doMeasure=True # Scale factor to apply to shape for aperture config.processCcd.charImage.measurement.plugins['base_Variance'].scale=5.0 # Mask planes to ignore config.processCcd.charImage.measurement.plugins['base_Variance'].mask=['DETECTED', 'DETECTED_NEGATIVE', 'BAD', 'SAT'] # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_InputCount'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_LocalPhotoCalib'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_LocalWcs'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_PeakCentroid'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['base_SkyCoord'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['subaru_FilterFraction'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].doMeasure=True # Shapelet order of inner expansion (0 == Gaussian) config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].innerOrder=2 # Don't allow the semi-major radius of any component to go above this fraction of the PSF image width config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].maxRadiusBoxFraction=0.4 # Don't allow the semi-minor radius of any component to drop below this value (pixels) config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].minRadius=1.0 # Don't allow the determinant radii of the two components to differ by less than this (pixels) config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].minRadiusDiff=0.5 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionSolverTolerance=1e-08 # Shapelet order of outer expansion (0 == Gaussian) config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].outerOrder=1 # Initial outer Gaussian peak height divided by inner Gaussian peak height config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].peakRatio=0.1 # Initial outer radius divided by inner radius config.processCcd.charImage.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].radiusRatio=2.0 config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models={} config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.radiusPriorSigma=0.5 config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.radiusPriorSigma=0.5 config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.order=2 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.order=1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.radiusPriorSigma=0.5 config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.order=4 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.order=4 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.radiusPriorSigma=0.5 # a sequence of model names indicating which models should be fit, and their order config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].sequence=['DoubleShapelet'] # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].doMeasure=True # Whether to record the steps the optimizer takes (or just the number, if running as a plugin) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.doRecordHistory=True # Whether to record the time spent in this stage config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.doRecordTime=True # Softened core width for ellipticity distribution (conformal shear units). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.ellipticityCore=0.001 # Width of exponential ellipticity distribution (conformal shear units). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.ellipticitySigma=0.3 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusMinInner=-6.0 # Minimum ln(radius). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusMinOuter=-6.001 # Mean of the Student's T distribution used for ln(radius) at large radius, and the transition point between a flat distribution and the Student's T. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusMu=-1.0 # Number of degrees of freedom for the Student's T distribution on ln(radius). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusNu=50.0 # Width of the Student's T distribution in ln(radius). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusSigma=0.45 # Ellipticity magnitude (conformal shear units) at which the softened cutoff begins config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.ellipticityMaxInner=2.0 # Maximum ellipticity magnitude (conformal shear units) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.ellipticityMaxOuter=2.001 # ln(radius) at which the softened cutoff begins towards the maximum config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.logRadiusMaxInner=3.0 # Maximum ln(radius) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.logRadiusMaxOuter=3.001 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.logRadiusMinInner=-6.0 # The ratio P(logRadiusMinInner)/P(logRadiusMaxInner) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.logRadiusMinMaxRatio=1.0 # Minimum ln(radius) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.logRadiusMinOuter=-6.001 # Maximum radius used in approximating profile with Gaussians (0=default for this profile) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.maxRadius=0 # Number of Gaussian used to approximate the profile config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.nComponents=8 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionSolverTolerance=1e-08 # Name of the Prior that defines the model to fit (a filename in $MEAS_MODELFIT_DIR/data, with no extension), if priorSource='FILE'. Ignored for forced fitting. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.priorName='' # One of 'FILE', 'LINEAR', 'EMPIRICAL', or 'NONE', indicating whether the prior should be loaded from disk, created from one of the nested prior config/control objects, or None config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.priorSource='EMPIRICAL' # Name of the shapelet.RadialProfile that defines the model to fit config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.profileName='luv' # Use per-pixel variances as weights in the nonlinear fit (the final linear fit for flux never uses per-pixel variances) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.usePixelWeights=False # Scale the likelihood by this factor to artificially reweight it w.r.t. the prior. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].dev.weightsMultiplier=1.0 # Whether to record the steps the optimizer takes (or just the number, if running as a plugin) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.doRecordHistory=True # Whether to record the time spent in this stage config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.doRecordTime=True # Softened core width for ellipticity distribution (conformal shear units). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.ellipticityCore=0.001 # Width of exponential ellipticity distribution (conformal shear units). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.ellipticitySigma=0.3 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusMinInner=-6.0 # Minimum ln(radius). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusMinOuter=-6.001 # Mean of the Student's T distribution used for ln(radius) at large radius, and the transition point between a flat distribution and the Student's T. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusMu=-1.0 # Number of degrees of freedom for the Student's T distribution on ln(radius). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusNu=50.0 # Width of the Student's T distribution in ln(radius). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusSigma=0.45 # Ellipticity magnitude (conformal shear units) at which the softened cutoff begins config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.ellipticityMaxInner=2.0 # Maximum ellipticity magnitude (conformal shear units) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.ellipticityMaxOuter=2.001 # ln(radius) at which the softened cutoff begins towards the maximum config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.logRadiusMaxInner=3.0 # Maximum ln(radius) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.logRadiusMaxOuter=3.001 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.logRadiusMinInner=-6.0 # The ratio P(logRadiusMinInner)/P(logRadiusMaxInner) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.logRadiusMinMaxRatio=1.0 # Minimum ln(radius) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.logRadiusMinOuter=-6.001 # Maximum radius used in approximating profile with Gaussians (0=default for this profile) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.maxRadius=0 # Number of Gaussian used to approximate the profile config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.nComponents=6 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.maxOuterIterations=250 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionSolverTolerance=1e-08 # Name of the Prior that defines the model to fit (a filename in $MEAS_MODELFIT_DIR/data, with no extension), if priorSource='FILE'. Ignored for forced fitting. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.priorName='' # One of 'FILE', 'LINEAR', 'EMPIRICAL', or 'NONE', indicating whether the prior should be loaded from disk, created from one of the nested prior config/control objects, or None config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.priorSource='EMPIRICAL' # Name of the shapelet.RadialProfile that defines the model to fit config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.profileName='lux' # Use per-pixel variances as weights in the nonlinear fit (the final linear fit for flux never uses per-pixel variances) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.usePixelWeights=False # Scale the likelihood by this factor to artificially reweight it w.r.t. the prior. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].exp.weightsMultiplier=1.0 # If the 2nd-moments shape used to initialize the fit failed, use the PSF moments multiplied by this. If <= 0.0, abort the fit early instead. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].fallbackInitialMomentsPsfFactor=1.5 # Whether to record the steps the optimizer takes (or just the number, if running as a plugin) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.doRecordHistory=True # Whether to record the time spent in this stage config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.doRecordTime=True # Softened core width for ellipticity distribution (conformal shear units). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.ellipticityCore=0.001 # Width of exponential ellipticity distribution (conformal shear units). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.ellipticitySigma=0.3 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusMinInner=-6.0 # Minimum ln(radius). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusMinOuter=-6.001 # Mean of the Student's T distribution used for ln(radius) at large radius, and the transition point between a flat distribution and the Student's T. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusMu=-1.0 # Number of degrees of freedom for the Student's T distribution on ln(radius). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusNu=50.0 # Width of the Student's T distribution in ln(radius). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusSigma=0.45 # Ellipticity magnitude (conformal shear units) at which the softened cutoff begins config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.ellipticityMaxInner=2.0 # Maximum ellipticity magnitude (conformal shear units) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.ellipticityMaxOuter=2.001 # ln(radius) at which the softened cutoff begins towards the maximum config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.logRadiusMaxInner=3.0 # Maximum ln(radius) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.logRadiusMaxOuter=3.001 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.logRadiusMinInner=-6.0 # The ratio P(logRadiusMinInner)/P(logRadiusMaxInner) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.logRadiusMinMaxRatio=1.0 # Minimum ln(radius) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.logRadiusMinOuter=-6.001 # Maximum radius used in approximating profile with Gaussians (0=default for this profile) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.maxRadius=0 # Number of Gaussian used to approximate the profile config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.nComponents=3 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.gradientThreshold=0.001 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.minTrustRadiusThreshold=0.01 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionSolverTolerance=1e-08 # Name of the Prior that defines the model to fit (a filename in $MEAS_MODELFIT_DIR/data, with no extension), if priorSource='FILE'. Ignored for forced fitting. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.priorName='' # One of 'FILE', 'LINEAR', 'EMPIRICAL', or 'NONE', indicating whether the prior should be loaded from disk, created from one of the nested prior config/control objects, or None config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.priorSource='EMPIRICAL' # Name of the shapelet.RadialProfile that defines the model to fit config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.profileName='lux' # Use per-pixel variances as weights in the nonlinear fit (the final linear fit for flux never uses per-pixel variances) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.usePixelWeights=True # Scale the likelihood by this factor to artificially reweight it w.r.t. the prior. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].initial.weightsMultiplier=1.0 # Minimum initial radius in pixels (used to regularize initial moments-based PSF deconvolution) config.processCcd.charImage.measurement.plugins['modelfit_CModel'].minInitialRadius=0.1 # Field name prefix of the Shapelet PSF approximation used to convolve the galaxy model; must contain a set of fields matching the schema defined by shapelet.MultiShapeletFunctionKey. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].psfName='modelfit_DoubleShapeletPsfApprox' # Mask planes that indicate pixels that should be ignored in the fit. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].region.badMaskPlanes=['EDGE', 'SAT', 'BAD', 'NO_DATA'] # Abort if the fit region grows beyond this many pixels. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].region.maxArea=100000 # Maximum fraction of pixels that may be ignored due to masks; more than this and we don't even try. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].region.maxBadPixelFraction=0.1 # Use this multiple of the initial fit ellipse then grow by the PSF width to determine the maximum final fit region size. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].region.nFitRadiiMax=3.0 # Use this multiple of the initial fit ellipse then grow by the PSF width to determine the minimum final fit region size. config.processCcd.charImage.measurement.plugins['modelfit_CModel'].region.nFitRadiiMin=1.0 # Use this multiple of the Kron ellipse to set the fit region (for the final fit region, subject to the nFitRadiiMin and nFitRadiiMax constraints). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].region.nKronRadii=1.5 # Grow the initial fit ellipses by this factor before comparing with the Kron/Footprint region config.processCcd.charImage.measurement.plugins['modelfit_CModel'].region.nPsfSigmaGrow=2.0 # If the Kron radius is less than this multiple of the PSF width, ignore it and fall back to a PSF-oriented ellipse scaled to match the area of the footprint or this radius (whichever is larger). config.processCcd.charImage.measurement.plugins['modelfit_CModel'].region.nPsfSigmaMin=4.0 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['modelfit_CModel'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmShapeBj'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmShapeBj'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmShapeBj'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmShapeLinear'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmShapeLinear'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmShapeLinear'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmShapeKsb'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmShapeKsb'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmShapeKsb'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmShapeRegauss'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmShapeRegauss'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmShapeRegauss'].deblendNChild='' # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmSourceMoments'].doMeasure=True # Store measured flux? config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmSourceMoments'].addFlux=None # Mask planes used to reject bad pixels. config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmSourceMoments'].badMaskPlanes=None # Use round weight function? config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmSourceMoments'].roundMoments=None # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmSourceMomentsRound'].doMeasure=True # Store measured flux? config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmSourceMomentsRound'].addFlux=None # Mask planes used to reject bad pixels. config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmSourceMomentsRound'].badMaskPlanes=None # Use round weight function? config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmSourceMomentsRound'].roundMoments=None # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.plugins['ext_shapeHSM_HsmPsfMoments'].doMeasure=True config.processCcd.charImage.measurement.plugins.names=['modelfit_DoubleShapeletPsfApprox', 'base_Jacobian', 'base_PixelFlags', 'ext_shapeHSM_HsmPsfMoments', 'base_CircularApertureFlux', 'modelfit_CModel', 'ext_shapeHSM_HsmShapeRegauss', 'base_SdssShape', 'ext_shapeHSM_HsmSourceMoments', 'base_GaussianFlux', 'base_FPPosition', 'base_PsfFlux', 'base_SdssCentroid', 'ext_shapeHSM_HsmSourceMomentsRound'] # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_PsfFlux'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.charImage.measurement.undeblended['base_PsfFlux'].badMaskPlanes=[] # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_PeakLikelihoodFlux'].doMeasure=True # Name of warping kernel (e.g. "lanczos4") used to compute the peak config.processCcd.charImage.measurement.undeblended['base_PeakLikelihoodFlux'].warpingKernelName='lanczos4' # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_GaussianFlux'].doMeasure=True # FIXME! NEVER DOCUMENTED! config.processCcd.charImage.measurement.undeblended['base_GaussianFlux'].background=0.0 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_NaiveCentroid'].doMeasure=True # Value to subtract from the image pixel values config.processCcd.charImage.measurement.undeblended['base_NaiveCentroid'].background=0.0 # Do check that the centroid is contained in footprint. config.processCcd.charImage.measurement.undeblended['base_NaiveCentroid'].doFootprintCheck=True # If set > 0, Centroid Check also checks distance from footprint peak. config.processCcd.charImage.measurement.undeblended['base_NaiveCentroid'].maxDistToPeak=-1.0 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_SdssCentroid'].doMeasure=True # maximum allowed binning config.processCcd.charImage.measurement.undeblended['base_SdssCentroid'].binmax=16 # Do check that the centroid is contained in footprint. config.processCcd.charImage.measurement.undeblended['base_SdssCentroid'].doFootprintCheck=True # If set > 0, Centroid Check also checks distance from footprint peak. config.processCcd.charImage.measurement.undeblended['base_SdssCentroid'].maxDistToPeak=-1.0 # if the peak's less than this insist on binning at least once config.processCcd.charImage.measurement.undeblended['base_SdssCentroid'].peakMin=-1.0 # fiddle factor for adjusting the binning config.processCcd.charImage.measurement.undeblended['base_SdssCentroid'].wfac=1.5 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_PixelFlags'].doMeasure=True # List of mask planes to be searched for which occur anywhere within a footprint. If any of the planes are found they will have a corresponding pixel flag set. config.processCcd.charImage.measurement.undeblended['base_PixelFlags'].masksFpAnywhere=[] # List of mask planes to be searched for which occur in the center of a footprint. If any of the planes are found they will have a corresponding pixel flag set. config.processCcd.charImage.measurement.undeblended['base_PixelFlags'].masksFpCenter=[] # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_SdssShape'].doMeasure=True # Additional value to add to background config.processCcd.charImage.measurement.undeblended['base_SdssShape'].background=0.0 # Whether to also compute the shape of the PSF model config.processCcd.charImage.measurement.undeblended['base_SdssShape'].doMeasurePsf=True # Maximum number of iterations config.processCcd.charImage.measurement.undeblended['base_SdssShape'].maxIter=100 # Maximum centroid shift, limited to 2-10 config.processCcd.charImage.measurement.undeblended['base_SdssShape'].maxShift=0.0 # Convergence tolerance for e1,e2 config.processCcd.charImage.measurement.undeblended['base_SdssShape'].tol1=9.999999747378752e-06 # Convergence tolerance for FWHM config.processCcd.charImage.measurement.undeblended['base_SdssShape'].tol2=9.999999747378752e-05 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_ScaledApertureFlux'].doMeasure=True # Scaling factor of PSF FWHM for aperture radius. config.processCcd.charImage.measurement.undeblended['base_ScaledApertureFlux'].scale=3.14 # Warping kernel used to shift Sinc photometry coefficients to different center positions config.processCcd.charImage.measurement.undeblended['base_ScaledApertureFlux'].shiftKernel='lanczos5' # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_CircularApertureFlux'].doMeasure=True # Maximum radius (in pixels) for which the sinc algorithm should be used instead of the faster naive algorithm. For elliptical apertures, this is the minor axis radius. config.processCcd.charImage.measurement.undeblended['base_CircularApertureFlux'].maxSincRadius=10.0 # Radius (in pixels) of apertures. config.processCcd.charImage.measurement.undeblended['base_CircularApertureFlux'].radii=[3.0, 4.5, 6.0, 9.0, 12.0, 17.0, 25.0, 35.0, 50.0, 70.0] # Warping kernel used to shift Sinc photometry coefficients to different center positions config.processCcd.charImage.measurement.undeblended['base_CircularApertureFlux'].shiftKernel='lanczos5' # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_Blendedness'].doMeasure=True # Whether to compute quantities related to the Gaussian-weighted flux config.processCcd.charImage.measurement.undeblended['base_Blendedness'].doFlux=True # Whether to compute HeavyFootprint dot products (the old deblend.blendedness parameter) config.processCcd.charImage.measurement.undeblended['base_Blendedness'].doOld=True # Whether to compute quantities related to the Gaussian-weighted shape config.processCcd.charImage.measurement.undeblended['base_Blendedness'].doShape=True # Radius factor that sets the maximum extent of the weight function (and hence the flux measurements) config.processCcd.charImage.measurement.undeblended['base_Blendedness'].nSigmaWeightMax=3.0 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_LocalBackground'].doMeasure=True # Inner radius for background annulus as a multiple of the PSF sigma config.processCcd.charImage.measurement.undeblended['base_LocalBackground'].annulusInner=7.0 # Outer radius for background annulus as a multiple of the PSF sigma config.processCcd.charImage.measurement.undeblended['base_LocalBackground'].annulusOuter=15.0 # Mask planes that indicate pixels that should be excluded from the measurement config.processCcd.charImage.measurement.undeblended['base_LocalBackground'].badMaskPlanes=['BAD', 'SAT', 'NO_DATA'] # Number of sigma-clipping iterations for background measurement config.processCcd.charImage.measurement.undeblended['base_LocalBackground'].bgIter=3 # Rejection threshold (in standard deviations) for background measurement config.processCcd.charImage.measurement.undeblended['base_LocalBackground'].bgRej=3.0 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_FPPosition'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_Jacobian'].doMeasure=True # Nominal pixel size (arcsec) config.processCcd.charImage.measurement.undeblended['base_Jacobian'].pixelScale=0.5 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_Variance'].doMeasure=True # Scale factor to apply to shape for aperture config.processCcd.charImage.measurement.undeblended['base_Variance'].scale=5.0 # Mask planes to ignore config.processCcd.charImage.measurement.undeblended['base_Variance'].mask=['DETECTED', 'DETECTED_NEGATIVE', 'BAD', 'SAT'] # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_InputCount'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_LocalPhotoCalib'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_LocalWcs'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_PeakCentroid'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['base_SkyCoord'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['subaru_FilterFraction'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].doMeasure=True # Shapelet order of inner expansion (0 == Gaussian) config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].innerOrder=2 # Don't allow the semi-major radius of any component to go above this fraction of the PSF image width config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].maxRadiusBoxFraction=0.4 # Don't allow the semi-minor radius of any component to drop below this value (pixels) config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].minRadius=1.0 # Don't allow the determinant radii of the two components to differ by less than this (pixels) config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].minRadiusDiff=0.5 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionSolverTolerance=1e-08 # Shapelet order of outer expansion (0 == Gaussian) config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].outerOrder=1 # Initial outer Gaussian peak height divided by inner Gaussian peak height config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].peakRatio=0.1 # Initial outer radius divided by inner radius config.processCcd.charImage.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].radiusRatio=2.0 config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models={} config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.radiusPriorSigma=0.5 config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.radiusPriorSigma=0.5 config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.order=2 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.order=1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.radiusPriorSigma=0.5 config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.order=4 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.order=4 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.radiusPriorSigma=0.5 # a sequence of model names indicating which models should be fit, and their order config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].sequence=['DoubleShapelet'] # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].doMeasure=True # Whether to record the steps the optimizer takes (or just the number, if running as a plugin) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.doRecordHistory=True # Whether to record the time spent in this stage config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.doRecordTime=True # Softened core width for ellipticity distribution (conformal shear units). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.ellipticityCore=0.001 # Width of exponential ellipticity distribution (conformal shear units). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.ellipticitySigma=0.3 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusMinInner=-6.0 # Minimum ln(radius). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusMinOuter=-6.001 # Mean of the Student's T distribution used for ln(radius) at large radius, and the transition point between a flat distribution and the Student's T. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusMu=-1.0 # Number of degrees of freedom for the Student's T distribution on ln(radius). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusNu=50.0 # Width of the Student's T distribution in ln(radius). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusSigma=0.45 # Ellipticity magnitude (conformal shear units) at which the softened cutoff begins config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.ellipticityMaxInner=2.0 # Maximum ellipticity magnitude (conformal shear units) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.ellipticityMaxOuter=2.001 # ln(radius) at which the softened cutoff begins towards the maximum config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.logRadiusMaxInner=3.0 # Maximum ln(radius) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.logRadiusMaxOuter=3.001 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.logRadiusMinInner=-6.0 # The ratio P(logRadiusMinInner)/P(logRadiusMaxInner) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.logRadiusMinMaxRatio=1.0 # Minimum ln(radius) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.logRadiusMinOuter=-6.001 # Maximum radius used in approximating profile with Gaussians (0=default for this profile) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.maxRadius=0 # Number of Gaussian used to approximate the profile config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.nComponents=8 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionSolverTolerance=1e-08 # Name of the Prior that defines the model to fit (a filename in $MEAS_MODELFIT_DIR/data, with no extension), if priorSource='FILE'. Ignored for forced fitting. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.priorName='' # One of 'FILE', 'LINEAR', 'EMPIRICAL', or 'NONE', indicating whether the prior should be loaded from disk, created from one of the nested prior config/control objects, or None config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.priorSource='EMPIRICAL' # Name of the shapelet.RadialProfile that defines the model to fit config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.profileName='luv' # Use per-pixel variances as weights in the nonlinear fit (the final linear fit for flux never uses per-pixel variances) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.usePixelWeights=False # Scale the likelihood by this factor to artificially reweight it w.r.t. the prior. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].dev.weightsMultiplier=1.0 # Whether to record the steps the optimizer takes (or just the number, if running as a plugin) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.doRecordHistory=True # Whether to record the time spent in this stage config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.doRecordTime=True # Softened core width for ellipticity distribution (conformal shear units). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.ellipticityCore=0.001 # Width of exponential ellipticity distribution (conformal shear units). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.ellipticitySigma=0.3 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusMinInner=-6.0 # Minimum ln(radius). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusMinOuter=-6.001 # Mean of the Student's T distribution used for ln(radius) at large radius, and the transition point between a flat distribution and the Student's T. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusMu=-1.0 # Number of degrees of freedom for the Student's T distribution on ln(radius). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusNu=50.0 # Width of the Student's T distribution in ln(radius). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusSigma=0.45 # Ellipticity magnitude (conformal shear units) at which the softened cutoff begins config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.ellipticityMaxInner=2.0 # Maximum ellipticity magnitude (conformal shear units) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.ellipticityMaxOuter=2.001 # ln(radius) at which the softened cutoff begins towards the maximum config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.logRadiusMaxInner=3.0 # Maximum ln(radius) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.logRadiusMaxOuter=3.001 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.logRadiusMinInner=-6.0 # The ratio P(logRadiusMinInner)/P(logRadiusMaxInner) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.logRadiusMinMaxRatio=1.0 # Minimum ln(radius) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.logRadiusMinOuter=-6.001 # Maximum radius used in approximating profile with Gaussians (0=default for this profile) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.maxRadius=0 # Number of Gaussian used to approximate the profile config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.nComponents=6 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.maxOuterIterations=250 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionSolverTolerance=1e-08 # Name of the Prior that defines the model to fit (a filename in $MEAS_MODELFIT_DIR/data, with no extension), if priorSource='FILE'. Ignored for forced fitting. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.priorName='' # One of 'FILE', 'LINEAR', 'EMPIRICAL', or 'NONE', indicating whether the prior should be loaded from disk, created from one of the nested prior config/control objects, or None config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.priorSource='EMPIRICAL' # Name of the shapelet.RadialProfile that defines the model to fit config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.profileName='lux' # Use per-pixel variances as weights in the nonlinear fit (the final linear fit for flux never uses per-pixel variances) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.usePixelWeights=False # Scale the likelihood by this factor to artificially reweight it w.r.t. the prior. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].exp.weightsMultiplier=1.0 # If the 2nd-moments shape used to initialize the fit failed, use the PSF moments multiplied by this. If <= 0.0, abort the fit early instead. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].fallbackInitialMomentsPsfFactor=1.5 # Whether to record the steps the optimizer takes (or just the number, if running as a plugin) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.doRecordHistory=True # Whether to record the time spent in this stage config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.doRecordTime=True # Softened core width for ellipticity distribution (conformal shear units). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.ellipticityCore=0.001 # Width of exponential ellipticity distribution (conformal shear units). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.ellipticitySigma=0.3 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusMinInner=-6.0 # Minimum ln(radius). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusMinOuter=-6.001 # Mean of the Student's T distribution used for ln(radius) at large radius, and the transition point between a flat distribution and the Student's T. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusMu=-1.0 # Number of degrees of freedom for the Student's T distribution on ln(radius). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusNu=50.0 # Width of the Student's T distribution in ln(radius). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusSigma=0.45 # Ellipticity magnitude (conformal shear units) at which the softened cutoff begins config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.ellipticityMaxInner=2.0 # Maximum ellipticity magnitude (conformal shear units) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.ellipticityMaxOuter=2.001 # ln(radius) at which the softened cutoff begins towards the maximum config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.logRadiusMaxInner=3.0 # Maximum ln(radius) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.logRadiusMaxOuter=3.001 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.logRadiusMinInner=-6.0 # The ratio P(logRadiusMinInner)/P(logRadiusMaxInner) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.logRadiusMinMaxRatio=1.0 # Minimum ln(radius) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.logRadiusMinOuter=-6.001 # Maximum radius used in approximating profile with Gaussians (0=default for this profile) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.maxRadius=0 # Number of Gaussian used to approximate the profile config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.nComponents=3 # whether to save all iterations for debugging purposes config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.gradientThreshold=0.001 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.minTrustRadiusThreshold=0.01 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionSolverTolerance=1e-08 # Name of the Prior that defines the model to fit (a filename in $MEAS_MODELFIT_DIR/data, with no extension), if priorSource='FILE'. Ignored for forced fitting. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.priorName='' # One of 'FILE', 'LINEAR', 'EMPIRICAL', or 'NONE', indicating whether the prior should be loaded from disk, created from one of the nested prior config/control objects, or None config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.priorSource='EMPIRICAL' # Name of the shapelet.RadialProfile that defines the model to fit config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.profileName='lux' # Use per-pixel variances as weights in the nonlinear fit (the final linear fit for flux never uses per-pixel variances) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.usePixelWeights=True # Scale the likelihood by this factor to artificially reweight it w.r.t. the prior. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].initial.weightsMultiplier=1.0 # Minimum initial radius in pixels (used to regularize initial moments-based PSF deconvolution) config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].minInitialRadius=0.1 # Field name prefix of the Shapelet PSF approximation used to convolve the galaxy model; must contain a set of fields matching the schema defined by shapelet.MultiShapeletFunctionKey. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].psfName='modelfit_DoubleShapeletPsfApprox' # Mask planes that indicate pixels that should be ignored in the fit. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].region.badMaskPlanes=['EDGE', 'SAT', 'BAD', 'NO_DATA'] # Abort if the fit region grows beyond this many pixels. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].region.maxArea=100000 # Maximum fraction of pixels that may be ignored due to masks; more than this and we don't even try. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].region.maxBadPixelFraction=0.1 # Use this multiple of the initial fit ellipse then grow by the PSF width to determine the maximum final fit region size. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].region.nFitRadiiMax=3.0 # Use this multiple of the initial fit ellipse then grow by the PSF width to determine the minimum final fit region size. config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].region.nFitRadiiMin=1.0 # Use this multiple of the Kron ellipse to set the fit region (for the final fit region, subject to the nFitRadiiMin and nFitRadiiMax constraints). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].region.nKronRadii=1.5 # Grow the initial fit ellipses by this factor before comparing with the Kron/Footprint region config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].region.nPsfSigmaGrow=2.0 # If the Kron radius is less than this multiple of the PSF width, ignore it and fall back to a PSF-oriented ellipse scaled to match the area of the footprint or this radius (whichever is larger). config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].region.nPsfSigmaMin=4.0 # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['modelfit_CModel'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmShapeBj'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmShapeBj'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmShapeBj'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmShapeLinear'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmShapeLinear'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmShapeLinear'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmShapeKsb'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmShapeKsb'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmShapeKsb'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmShapeRegauss'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmShapeRegauss'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmShapeRegauss'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmSourceMoments'].doMeasure=True # Store measured flux? config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmSourceMoments'].addFlux=None # Mask planes used to reject bad pixels. config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmSourceMoments'].badMaskPlanes=None # Use round weight function? config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmSourceMoments'].roundMoments=None # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmSourceMomentsRound'].doMeasure=True # Store measured flux? config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmSourceMomentsRound'].addFlux=None # Mask planes used to reject bad pixels. config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmSourceMomentsRound'].badMaskPlanes=None # Use round weight function? config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmSourceMomentsRound'].roundMoments=None # whether to run this plugin in single-object mode config.processCcd.charImage.measurement.undeblended['ext_shapeHSM_HsmPsfMoments'].doMeasure=True config.processCcd.charImage.measurement.undeblended.names=[] # Run subtasks to measure and apply aperture corrections config.processCcd.charImage.doApCorr=True # Field name prefix for the flux other measurements should be aperture corrected to match config.processCcd.charImage.measureApCorr.refFluxName='slot_CalibFlux' # Apply flux limit? config.processCcd.charImage.measureApCorr.sourceSelector['science'].doFluxLimit=False # Apply flag limitation? config.processCcd.charImage.measureApCorr.sourceSelector['science'].doFlags=True # Apply unresolved limitation? config.processCcd.charImage.measureApCorr.sourceSelector['science'].doUnresolved=False # Apply signal-to-noise limit? config.processCcd.charImage.measureApCorr.sourceSelector['science'].doSignalToNoise=True # Apply isolated limitation? config.processCcd.charImage.measureApCorr.sourceSelector['science'].doIsolated=False # Select objects with value greater than this config.processCcd.charImage.measureApCorr.sourceSelector['science'].fluxLimit.minimum=None # Select objects with value less than this config.processCcd.charImage.measureApCorr.sourceSelector['science'].fluxLimit.maximum=None # Name of the source flux field to use. config.processCcd.charImage.measureApCorr.sourceSelector['science'].fluxLimit.fluxField='slot_CalibFlux_instFlux' # List of source flag fields that must be set for a source to be used. config.processCcd.charImage.measureApCorr.sourceSelector['science'].flags.good=['calib_psf_used'] # List of source flag fields that must NOT be set for a source to be used. config.processCcd.charImage.measureApCorr.sourceSelector['science'].flags.bad=[] # Select objects with value greater than this config.processCcd.charImage.measureApCorr.sourceSelector['science'].unresolved.minimum=None # Select objects with value less than this config.processCcd.charImage.measureApCorr.sourceSelector['science'].unresolved.maximum=0.5 # Name of column for star/galaxy separation config.processCcd.charImage.measureApCorr.sourceSelector['science'].unresolved.name='base_ClassificationExtendedness_value' # Select objects with value greater than this config.processCcd.charImage.measureApCorr.sourceSelector['science'].signalToNoise.minimum=200.0 # Select objects with value less than this config.processCcd.charImage.measureApCorr.sourceSelector['science'].signalToNoise.maximum=None # Name of the source flux field to use. config.processCcd.charImage.measureApCorr.sourceSelector['science'].signalToNoise.fluxField='base_PsfFlux_instFlux' # Name of the source flux error field to use. config.processCcd.charImage.measureApCorr.sourceSelector['science'].signalToNoise.errField='base_PsfFlux_instFluxErr' # Name of column for parent config.processCcd.charImage.measureApCorr.sourceSelector['science'].isolated.parentName='parent' # Name of column for nChild config.processCcd.charImage.measureApCorr.sourceSelector['science'].isolated.nChildName='deblend_nChild' # Apply magnitude limit? config.processCcd.charImage.measureApCorr.sourceSelector['references'].doMagLimit=False # Apply flag limitation? config.processCcd.charImage.measureApCorr.sourceSelector['references'].doFlags=False # Apply unresolved limitation? config.processCcd.charImage.measureApCorr.sourceSelector['references'].doUnresolved=False # Apply signal-to-noise limit? config.processCcd.charImage.measureApCorr.sourceSelector['references'].doSignalToNoise=False # Apply magnitude error limit? config.processCcd.charImage.measureApCorr.sourceSelector['references'].doMagError=False # Select objects with value greater than this config.processCcd.charImage.measureApCorr.sourceSelector['references'].magLimit.minimum=None # Select objects with value less than this config.processCcd.charImage.measureApCorr.sourceSelector['references'].magLimit.maximum=None # Name of the source flux field to use. config.processCcd.charImage.measureApCorr.sourceSelector['references'].magLimit.fluxField='flux' # List of source flag fields that must be set for a source to be used. config.processCcd.charImage.measureApCorr.sourceSelector['references'].flags.good=[] # List of source flag fields that must NOT be set for a source to be used. config.processCcd.charImage.measureApCorr.sourceSelector['references'].flags.bad=[] # Select objects with value greater than this config.processCcd.charImage.measureApCorr.sourceSelector['references'].unresolved.minimum=None # Select objects with value less than this config.processCcd.charImage.measureApCorr.sourceSelector['references'].unresolved.maximum=0.5 # Name of column for star/galaxy separation config.processCcd.charImage.measureApCorr.sourceSelector['references'].unresolved.name='base_ClassificationExtendedness_value' # Select objects with value greater than this config.processCcd.charImage.measureApCorr.sourceSelector['references'].signalToNoise.minimum=None # Select objects with value less than this config.processCcd.charImage.measureApCorr.sourceSelector['references'].signalToNoise.maximum=None # Name of the source flux field to use. config.processCcd.charImage.measureApCorr.sourceSelector['references'].signalToNoise.fluxField='flux' # Name of the source flux error field to use. config.processCcd.charImage.measureApCorr.sourceSelector['references'].signalToNoise.errField='flux_err' # Select objects with value greater than this config.processCcd.charImage.measureApCorr.sourceSelector['references'].magError.minimum=None # Select objects with value less than this config.processCcd.charImage.measureApCorr.sourceSelector['references'].magError.maximum=None # Name of the source flux error field to use. config.processCcd.charImage.measureApCorr.sourceSelector['references'].magError.magErrField='mag_err' config.processCcd.charImage.measureApCorr.sourceSelector['references'].colorLimits={} # Apply flux limit to Psf Candidate selection? config.processCcd.charImage.measureApCorr.sourceSelector['objectSize'].doFluxLimit=True # specify the minimum psfFlux for good Psf Candidates config.processCcd.charImage.measureApCorr.sourceSelector['objectSize'].fluxMin=12500.0 # specify the maximum psfFlux for good Psf Candidates (ignored if == 0) config.processCcd.charImage.measureApCorr.sourceSelector['objectSize'].fluxMax=0.0 # Apply signal-to-noise (i.e. flux/fluxErr) limit to Psf Candidate selection? config.processCcd.charImage.measureApCorr.sourceSelector['objectSize'].doSignalToNoiseLimit=False # specify the minimum signal-to-noise for good Psf Candidates config.processCcd.charImage.measureApCorr.sourceSelector['objectSize'].signalToNoiseMin=20.0 # specify the maximum signal-to-noise for good Psf Candidates (ignored if == 0) config.processCcd.charImage.measureApCorr.sourceSelector['objectSize'].signalToNoiseMax=0.0 # minimum width to include in histogram config.processCcd.charImage.measureApCorr.sourceSelector['objectSize'].widthMin=0.0 # maximum width to include in histogram config.processCcd.charImage.measureApCorr.sourceSelector['objectSize'].widthMax=10.0 # Name of field in Source to use for flux measurement config.processCcd.charImage.measureApCorr.sourceSelector['objectSize'].sourceFluxField='base_GaussianFlux_instFlux' # Standard deviation of width allowed to be interpreted as good stars config.processCcd.charImage.measureApCorr.sourceSelector['objectSize'].widthStdAllowed=0.15 # Keep objects within this many sigma of cluster 0's median config.processCcd.charImage.measureApCorr.sourceSelector['objectSize'].nSigmaClip=2.0 # List of flags which cause a source to be rejected as bad config.processCcd.charImage.measureApCorr.sourceSelector['objectSize'].badFlags=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_interpolatedCenter', 'base_PixelFlags_flag_saturatedCenter', 'base_PixelFlags_flag_crCenter', 'base_PixelFlags_flag_bad', 'base_PixelFlags_flag_interpolated'] # Name of a flag field that is True for Sources that should be used. config.processCcd.charImage.measureApCorr.sourceSelector['flagged'].field='calib_psf_used' # List of flags which cause a source to be rejected as bad config.processCcd.charImage.measureApCorr.sourceSelector['astrometry'].badFlags=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_interpolatedCenter', 'base_PixelFlags_flag_saturatedCenter', 'base_PixelFlags_flag_crCenter', 'base_PixelFlags_flag_bad'] # Type of source flux; typically one of Ap or Psf config.processCcd.charImage.measureApCorr.sourceSelector['astrometry'].sourceFluxType='Ap' # Minimum allowed signal-to-noise ratio for sources used for matching (in the flux specified by sourceFluxType); <= 0 for no limit config.processCcd.charImage.measureApCorr.sourceSelector['astrometry'].minSnr=10.0 # Type of source flux; typically one of Ap or Psf config.processCcd.charImage.measureApCorr.sourceSelector['matcher'].sourceFluxType='Ap' # Minimum allowed signal-to-noise ratio for sources used for matching (in the flux specified by sourceFluxType); <= 0 for no limit config.processCcd.charImage.measureApCorr.sourceSelector['matcher'].minSnr=40.0 # Exclude objects that have saturated, interpolated, or edge pixels using PixelFlags. For matchOptimisticB set this to False to recover previous matcher selector behavior. config.processCcd.charImage.measureApCorr.sourceSelector['matcher'].excludePixelFlags=True config.processCcd.charImage.measureApCorr.sourceSelector.name='science' # Minimum number of degrees of freedom (# of valid data points - # of parameters); if this is exceeded, the order of the fit is decreased (in both dimensions), and if we can't decrease it enough, we'll raise ValueError. config.processCcd.charImage.measureApCorr.minDegreesOfFreedom=1 # maximum Chebyshev function order in x config.processCcd.charImage.measureApCorr.fitConfig.orderX=2 # maximum Chebyshev function order in y config.processCcd.charImage.measureApCorr.fitConfig.orderY=2 # if true, only include terms where the sum of the x and y order is less than or equal to max(orderX, orderY) config.processCcd.charImage.measureApCorr.fitConfig.triangular=True # Number of iterations for sigma clipping config.processCcd.charImage.measureApCorr.numIter=4 # Number of standard devisations to clip at config.processCcd.charImage.measureApCorr.numSigmaClip=3.0 # Allow these measurement algorithms to fail without an exception config.processCcd.charImage.measureApCorr.allowFailure=[] # flux measurement algorithms in getApCorrNameSet() to ignore; if a name is listed that does not appear in getApCorrNameSet() then a warning is logged config.processCcd.charImage.applyApCorr.ignoreList=[] # set the general failure flag for a flux when it cannot be aperture-corrected? config.processCcd.charImage.applyApCorr.doFlagApCorrFailures=True # flux measurement algorithms to be aperture-corrected by reference to another algorithm; this is a mapping alg1:alg2, where 'alg1' is the algorithm being corrected, and 'alg2' is the algorithm supplying the corrections config.processCcd.charImage.applyApCorr.proxies={} # critical ratio of model to psf flux config.processCcd.charImage.catalogCalculation.plugins['base_ClassificationExtendedness'].fluxRatio=0.985 # correction factor for modelFlux error config.processCcd.charImage.catalogCalculation.plugins['base_ClassificationExtendedness'].modelErrFactor=0.0 # correction factor for psfFlux error config.processCcd.charImage.catalogCalculation.plugins['base_ClassificationExtendedness'].psfErrFactor=0.0 config.processCcd.charImage.catalogCalculation.plugins.names=['base_ClassificationExtendedness', 'base_FootprintArea'] # Replace the existing PSF model with a simplified version that has the same sigma at the start of each PSF determination iteration? Doing so makes PSF determination converge more robustly and quickly. config.processCcd.charImage.useSimplePsf=True # Estimated FWHM of simple Gaussian PSF model, in pixels. Ignored if input exposure has a PSF model. config.processCcd.charImage.installSimplePsf.fwhm=3.5322300675464238 # Width and height of PSF model, in pixels. Must be odd. config.processCcd.charImage.installSimplePsf.width=11 # Padding to add to 4 all edges of the bounding box (pixels) config.processCcd.charImage.refObjLoader.pixelMargin=300 # Default reference catalog filter to use if filter not specified in exposure; if blank then filter must be specified in exposure. config.processCcd.charImage.refObjLoader.defaultFilter='' # Always use this reference catalog filter, no matter whether or what filter name is supplied to the loader. Effectively a trivial filterMap: map all filter names to this filter. This can be set for purely-astrometric catalogs (e.g. Gaia DR2) where there is only one reasonable choice for every camera filter->refcat mapping, but not for refcats used for photometry, which need a filterMap and/or colorterms/transmission corrections. config.processCcd.charImage.refObjLoader.anyFilterMapsToThis=None # Mapping of camera filter name: reference catalog filter name; each reference filter must exist in the refcat. Note that this does not perform any bandpass corrections: it is just a lookup. config.processCcd.charImage.refObjLoader.filterMap={'B': 'g', 'V': 'r', 'R': 'r', 'I': 'i', 'r2': 'r', 'i2': 'i', 'N387': 'g', 'N468': 'g', 'N515': 'g', 'N527': 'g', 'N656': 'r', 'N718': 'i', 'N816': 'i', 'N921': 'z', 'N926': 'z', 'N973': 'y', 'N1010': 'y', 'I945': 'z', 'HSC-G': 'g', 'HSC-R': 'r', 'HSC-R2': 'r', 'HSC-I': 'i', 'HSC-I2': 'i', 'HSC-Z': 'z', 'HSC-Y': 'y', 'NB0387': 'g', 'NB0468': 'g', 'NB0515': 'g', 'NB0527': 'g', 'NB0656': 'r', 'NB0718': 'i', 'NB0816': 'i', 'NB0921': 'z', 'NB0926': 'z', 'NB0973': 'y', 'NB1010': 'y', 'IB0945': 'z'} # Require that the fields needed to correct proper motion (epoch, pm_ra and pm_dec) are present? config.processCcd.charImage.refObjLoader.requireProperMotion=False # Name of the ingested reference dataset config.processCcd.charImage.refObjLoader.ref_dataset_name='ps1_pv3_3pi_20170110' # Number of bright stars to use. Sets the max number of patterns that can be tested. config.processCcd.charImage.ref_match.matcher.numBrightStars=200 # Minimum number of matched pairs; see also minFracMatchedPairs. config.processCcd.charImage.ref_match.matcher.minMatchedPairs=30 # Minimum number of matched pairs as a fraction of the smaller of the number of reference stars or the number of good sources; the actual minimum is the smaller of this value or minMatchedPairs. config.processCcd.charImage.ref_match.matcher.minFracMatchedPairs=0.3 # Number of softening iterations in matcher. config.processCcd.charImage.ref_match.matcher.matcherIterations=5 # Maximum allowed shift of WCS, due to matching (pixel). When changing this value, the LoadReferenceObjectsConfig.pixelMargin should also be updated. config.processCcd.charImage.ref_match.matcher.maxOffsetPix=250 # Rotation angle allowed between sources and position reference objects (degrees). config.processCcd.charImage.ref_match.matcher.maxRotationDeg=1.145916 # Number of points to define a shape for matching. config.processCcd.charImage.ref_match.matcher.numPointsForShape=6 # Number of points to try for creating a shape. This value should be greater than or equal to numPointsForShape. Besides loosening the signal to noise cut in the 'matcher' SourceSelector, increasing this number will solve CCDs where no match was found. config.processCcd.charImage.ref_match.matcher.numPointsForShapeAttempt=6 # Distance in units of pixels to always consider a source-reference pair a match. This prevents the astrometric fitter from over-fitting and removing stars that should be matched and allows for inclusion of new matches as the wcs improves. config.processCcd.charImage.ref_match.matcher.minMatchDistPixels=1.0 # Number of implied shift/rotations from patterns that must agree before it a given shift/rotation is accepted. This is only used after the first softening iteration fails and if both the number of reference and source objects is greater than numBrightStars. config.processCcd.charImage.ref_match.matcher.numPatternConsensus=3 # If the available reference objects exceeds this number, consensus/pessimistic mode will enforced regardless of the number of available sources. Below this optimistic mode (exit at first match rather than requiring numPatternConsensus to be matched) can be used. If more sources are required to match, decrease the signal to noise cut in the sourceSelector. config.processCcd.charImage.ref_match.matcher.numRefRequireConsensus=1000 # Maximum number of reference objects to use for the matcher. The absolute maximum allowed for is 2 ** 16 for memory reasons. config.processCcd.charImage.ref_match.matcher.maxRefObjects=65536 # the maximum match distance is set to mean_match_distance + matchDistanceSigma*std_dev_match_distance; ignored if not fitting a WCS config.processCcd.charImage.ref_match.matchDistanceSigma=2.0 # Apply flux limit? config.processCcd.charImage.ref_match.sourceSelector['science'].doFluxLimit=False # Apply flag limitation? config.processCcd.charImage.ref_match.sourceSelector['science'].doFlags=False # Apply unresolved limitation? config.processCcd.charImage.ref_match.sourceSelector['science'].doUnresolved=False # Apply signal-to-noise limit? config.processCcd.charImage.ref_match.sourceSelector['science'].doSignalToNoise=False # Apply isolated limitation? config.processCcd.charImage.ref_match.sourceSelector['science'].doIsolated=False # Select objects with value greater than this config.processCcd.charImage.ref_match.sourceSelector['science'].fluxLimit.minimum=None # Select objects with value less than this config.processCcd.charImage.ref_match.sourceSelector['science'].fluxLimit.maximum=None # Name of the source flux field to use. config.processCcd.charImage.ref_match.sourceSelector['science'].fluxLimit.fluxField='slot_CalibFlux_instFlux' # List of source flag fields that must be set for a source to be used. config.processCcd.charImage.ref_match.sourceSelector['science'].flags.good=[] # List of source flag fields that must NOT be set for a source to be used. config.processCcd.charImage.ref_match.sourceSelector['science'].flags.bad=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_saturated', 'base_PsfFlux_flags'] # Select objects with value greater than this config.processCcd.charImage.ref_match.sourceSelector['science'].unresolved.minimum=None # Select objects with value less than this config.processCcd.charImage.ref_match.sourceSelector['science'].unresolved.maximum=0.5 # Name of column for star/galaxy separation config.processCcd.charImage.ref_match.sourceSelector['science'].unresolved.name='base_ClassificationExtendedness_value' # Select objects with value greater than this config.processCcd.charImage.ref_match.sourceSelector['science'].signalToNoise.minimum=None # Select objects with value less than this config.processCcd.charImage.ref_match.sourceSelector['science'].signalToNoise.maximum=None # Name of the source flux field to use. config.processCcd.charImage.ref_match.sourceSelector['science'].signalToNoise.fluxField='slot_CalibFlux_instFlux' # Name of the source flux error field to use. config.processCcd.charImage.ref_match.sourceSelector['science'].signalToNoise.errField='slot_CalibFlux_instFluxErr' # Name of column for parent config.processCcd.charImage.ref_match.sourceSelector['science'].isolated.parentName='parent' # Name of column for nChild config.processCcd.charImage.ref_match.sourceSelector['science'].isolated.nChildName='deblend_nChild' # Apply magnitude limit? config.processCcd.charImage.ref_match.sourceSelector['references'].doMagLimit=False # Apply flag limitation? config.processCcd.charImage.ref_match.sourceSelector['references'].doFlags=False # Apply unresolved limitation? config.processCcd.charImage.ref_match.sourceSelector['references'].doUnresolved=False # Apply signal-to-noise limit? config.processCcd.charImage.ref_match.sourceSelector['references'].doSignalToNoise=False # Apply magnitude error limit? config.processCcd.charImage.ref_match.sourceSelector['references'].doMagError=False # Select objects with value greater than this config.processCcd.charImage.ref_match.sourceSelector['references'].magLimit.minimum=None # Select objects with value less than this config.processCcd.charImage.ref_match.sourceSelector['references'].magLimit.maximum=None # Name of the source flux field to use. config.processCcd.charImage.ref_match.sourceSelector['references'].magLimit.fluxField='flux' # List of source flag fields that must be set for a source to be used. config.processCcd.charImage.ref_match.sourceSelector['references'].flags.good=[] # List of source flag fields that must NOT be set for a source to be used. config.processCcd.charImage.ref_match.sourceSelector['references'].flags.bad=[] # Select objects with value greater than this config.processCcd.charImage.ref_match.sourceSelector['references'].unresolved.minimum=None # Select objects with value less than this config.processCcd.charImage.ref_match.sourceSelector['references'].unresolved.maximum=0.5 # Name of column for star/galaxy separation config.processCcd.charImage.ref_match.sourceSelector['references'].unresolved.name='base_ClassificationExtendedness_value' # Select objects with value greater than this config.processCcd.charImage.ref_match.sourceSelector['references'].signalToNoise.minimum=None # Select objects with value less than this config.processCcd.charImage.ref_match.sourceSelector['references'].signalToNoise.maximum=None # Name of the source flux field to use. config.processCcd.charImage.ref_match.sourceSelector['references'].signalToNoise.fluxField='flux' # Name of the source flux error field to use. config.processCcd.charImage.ref_match.sourceSelector['references'].signalToNoise.errField='flux_err' # Select objects with value greater than this config.processCcd.charImage.ref_match.sourceSelector['references'].magError.minimum=None # Select objects with value less than this config.processCcd.charImage.ref_match.sourceSelector['references'].magError.maximum=None # Name of the source flux error field to use. config.processCcd.charImage.ref_match.sourceSelector['references'].magError.magErrField='mag_err' config.processCcd.charImage.ref_match.sourceSelector['references'].colorLimits={} # Apply flux limit to Psf Candidate selection? config.processCcd.charImage.ref_match.sourceSelector['objectSize'].doFluxLimit=True # specify the minimum psfFlux for good Psf Candidates config.processCcd.charImage.ref_match.sourceSelector['objectSize'].fluxMin=12500.0 # specify the maximum psfFlux for good Psf Candidates (ignored if == 0) config.processCcd.charImage.ref_match.sourceSelector['objectSize'].fluxMax=0.0 # Apply signal-to-noise (i.e. flux/fluxErr) limit to Psf Candidate selection? config.processCcd.charImage.ref_match.sourceSelector['objectSize'].doSignalToNoiseLimit=False # specify the minimum signal-to-noise for good Psf Candidates config.processCcd.charImage.ref_match.sourceSelector['objectSize'].signalToNoiseMin=20.0 # specify the maximum signal-to-noise for good Psf Candidates (ignored if == 0) config.processCcd.charImage.ref_match.sourceSelector['objectSize'].signalToNoiseMax=0.0 # minimum width to include in histogram config.processCcd.charImage.ref_match.sourceSelector['objectSize'].widthMin=0.0 # maximum width to include in histogram config.processCcd.charImage.ref_match.sourceSelector['objectSize'].widthMax=10.0 # Name of field in Source to use for flux measurement config.processCcd.charImage.ref_match.sourceSelector['objectSize'].sourceFluxField='base_GaussianFlux_instFlux' # Standard deviation of width allowed to be interpreted as good stars config.processCcd.charImage.ref_match.sourceSelector['objectSize'].widthStdAllowed=0.15 # Keep objects within this many sigma of cluster 0's median config.processCcd.charImage.ref_match.sourceSelector['objectSize'].nSigmaClip=2.0 # List of flags which cause a source to be rejected as bad config.processCcd.charImage.ref_match.sourceSelector['objectSize'].badFlags=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_interpolatedCenter', 'base_PixelFlags_flag_saturatedCenter', 'base_PixelFlags_flag_crCenter', 'base_PixelFlags_flag_bad', 'base_PixelFlags_flag_interpolated'] # Name of a flag field that is True for Sources that should be used. config.processCcd.charImage.ref_match.sourceSelector['flagged'].field='calib_psf_used' # List of flags which cause a source to be rejected as bad config.processCcd.charImage.ref_match.sourceSelector['astrometry'].badFlags=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_interpolatedCenter', 'base_PixelFlags_flag_saturatedCenter', 'base_PixelFlags_flag_crCenter', 'base_PixelFlags_flag_bad'] # Type of source flux; typically one of Ap or Psf config.processCcd.charImage.ref_match.sourceSelector['astrometry'].sourceFluxType='Ap' # Minimum allowed signal-to-noise ratio for sources used for matching (in the flux specified by sourceFluxType); <= 0 for no limit config.processCcd.charImage.ref_match.sourceSelector['astrometry'].minSnr=10.0 # Type of source flux; typically one of Ap or Psf config.processCcd.charImage.ref_match.sourceSelector['matcher'].sourceFluxType='Psf' # Minimum allowed signal-to-noise ratio for sources used for matching (in the flux specified by sourceFluxType); <= 0 for no limit config.processCcd.charImage.ref_match.sourceSelector['matcher'].minSnr=40.0 # Exclude objects that have saturated, interpolated, or edge pixels using PixelFlags. For matchOptimisticB set this to False to recover previous matcher selector behavior. config.processCcd.charImage.ref_match.sourceSelector['matcher'].excludePixelFlags=True config.processCcd.charImage.ref_match.sourceSelector.name='matcher' # Apply magnitude limit? config.processCcd.charImage.ref_match.referenceSelector.doMagLimit=False # Apply flag limitation? config.processCcd.charImage.ref_match.referenceSelector.doFlags=False # Apply unresolved limitation? config.processCcd.charImage.ref_match.referenceSelector.doUnresolved=False # Apply signal-to-noise limit? config.processCcd.charImage.ref_match.referenceSelector.doSignalToNoise=False # Apply magnitude error limit? config.processCcd.charImage.ref_match.referenceSelector.doMagError=False # Select objects with value greater than this config.processCcd.charImage.ref_match.referenceSelector.magLimit.minimum=None # Select objects with value less than this config.processCcd.charImage.ref_match.referenceSelector.magLimit.maximum=None # Name of the source flux field to use. config.processCcd.charImage.ref_match.referenceSelector.magLimit.fluxField='flux' # List of source flag fields that must be set for a source to be used. config.processCcd.charImage.ref_match.referenceSelector.flags.good=[] # List of source flag fields that must NOT be set for a source to be used. config.processCcd.charImage.ref_match.referenceSelector.flags.bad=[] # Select objects with value greater than this config.processCcd.charImage.ref_match.referenceSelector.unresolved.minimum=None # Select objects with value less than this config.processCcd.charImage.ref_match.referenceSelector.unresolved.maximum=0.5 # Name of column for star/galaxy separation config.processCcd.charImage.ref_match.referenceSelector.unresolved.name='base_ClassificationExtendedness_value' # Select objects with value greater than this config.processCcd.charImage.ref_match.referenceSelector.signalToNoise.minimum=None # Select objects with value less than this config.processCcd.charImage.ref_match.referenceSelector.signalToNoise.maximum=None # Name of the source flux field to use. config.processCcd.charImage.ref_match.referenceSelector.signalToNoise.fluxField='flux' # Name of the source flux error field to use. config.processCcd.charImage.ref_match.referenceSelector.signalToNoise.errField='flux_err' # Select objects with value greater than this config.processCcd.charImage.ref_match.referenceSelector.magError.minimum=None # Select objects with value less than this config.processCcd.charImage.ref_match.referenceSelector.magError.maximum=None # Name of the source flux error field to use. config.processCcd.charImage.ref_match.referenceSelector.magError.magErrField='mag_err' config.processCcd.charImage.ref_match.referenceSelector.colorLimits={} # Source flux type to use in source selection. config.processCcd.charImage.ref_match.sourceFluxType='Psf' # Apply flux limit? config.processCcd.charImage.measurePsf.starSelector['science'].doFluxLimit=False # Apply flag limitation? config.processCcd.charImage.measurePsf.starSelector['science'].doFlags=False # Apply unresolved limitation? config.processCcd.charImage.measurePsf.starSelector['science'].doUnresolved=False # Apply signal-to-noise limit? config.processCcd.charImage.measurePsf.starSelector['science'].doSignalToNoise=False # Apply isolated limitation? config.processCcd.charImage.measurePsf.starSelector['science'].doIsolated=False # Select objects with value greater than this config.processCcd.charImage.measurePsf.starSelector['science'].fluxLimit.minimum=None # Select objects with value less than this config.processCcd.charImage.measurePsf.starSelector['science'].fluxLimit.maximum=None # Name of the source flux field to use. config.processCcd.charImage.measurePsf.starSelector['science'].fluxLimit.fluxField='slot_CalibFlux_instFlux' # List of source flag fields that must be set for a source to be used. config.processCcd.charImage.measurePsf.starSelector['science'].flags.good=[] # List of source flag fields that must NOT be set for a source to be used. config.processCcd.charImage.measurePsf.starSelector['science'].flags.bad=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_saturated', 'base_PsfFlux_flags'] # Select objects with value greater than this config.processCcd.charImage.measurePsf.starSelector['science'].unresolved.minimum=None # Select objects with value less than this config.processCcd.charImage.measurePsf.starSelector['science'].unresolved.maximum=0.5 # Name of column for star/galaxy separation config.processCcd.charImage.measurePsf.starSelector['science'].unresolved.name='base_ClassificationExtendedness_value' # Select objects with value greater than this config.processCcd.charImage.measurePsf.starSelector['science'].signalToNoise.minimum=None # Select objects with value less than this config.processCcd.charImage.measurePsf.starSelector['science'].signalToNoise.maximum=None # Name of the source flux field to use. config.processCcd.charImage.measurePsf.starSelector['science'].signalToNoise.fluxField='base_PsfFlux_instFlux' # Name of the source flux error field to use. config.processCcd.charImage.measurePsf.starSelector['science'].signalToNoise.errField='base_PsfFlux_instFluxErr' # Name of column for parent config.processCcd.charImage.measurePsf.starSelector['science'].isolated.parentName='parent' # Name of column for nChild config.processCcd.charImage.measurePsf.starSelector['science'].isolated.nChildName='deblend_nChild' # Apply magnitude limit? config.processCcd.charImage.measurePsf.starSelector['references'].doMagLimit=False # Apply flag limitation? config.processCcd.charImage.measurePsf.starSelector['references'].doFlags=False # Apply unresolved limitation? config.processCcd.charImage.measurePsf.starSelector['references'].doUnresolved=False # Apply signal-to-noise limit? config.processCcd.charImage.measurePsf.starSelector['references'].doSignalToNoise=False # Apply magnitude error limit? config.processCcd.charImage.measurePsf.starSelector['references'].doMagError=False # Select objects with value greater than this config.processCcd.charImage.measurePsf.starSelector['references'].magLimit.minimum=None # Select objects with value less than this config.processCcd.charImage.measurePsf.starSelector['references'].magLimit.maximum=None # Name of the source flux field to use. config.processCcd.charImage.measurePsf.starSelector['references'].magLimit.fluxField='flux' # List of source flag fields that must be set for a source to be used. config.processCcd.charImage.measurePsf.starSelector['references'].flags.good=[] # List of source flag fields that must NOT be set for a source to be used. config.processCcd.charImage.measurePsf.starSelector['references'].flags.bad=[] # Select objects with value greater than this config.processCcd.charImage.measurePsf.starSelector['references'].unresolved.minimum=None # Select objects with value less than this config.processCcd.charImage.measurePsf.starSelector['references'].unresolved.maximum=0.5 # Name of column for star/galaxy separation config.processCcd.charImage.measurePsf.starSelector['references'].unresolved.name='base_ClassificationExtendedness_value' # Select objects with value greater than this config.processCcd.charImage.measurePsf.starSelector['references'].signalToNoise.minimum=None # Select objects with value less than this config.processCcd.charImage.measurePsf.starSelector['references'].signalToNoise.maximum=None # Name of the source flux field to use. config.processCcd.charImage.measurePsf.starSelector['references'].signalToNoise.fluxField='flux' # Name of the source flux error field to use. config.processCcd.charImage.measurePsf.starSelector['references'].signalToNoise.errField='flux_err' # Select objects with value greater than this config.processCcd.charImage.measurePsf.starSelector['references'].magError.minimum=None # Select objects with value less than this config.processCcd.charImage.measurePsf.starSelector['references'].magError.maximum=None # Name of the source flux error field to use. config.processCcd.charImage.measurePsf.starSelector['references'].magError.magErrField='mag_err' config.processCcd.charImage.measurePsf.starSelector['references'].colorLimits={} # Apply flux limit to Psf Candidate selection? config.processCcd.charImage.measurePsf.starSelector['objectSize'].doFluxLimit=True # specify the minimum psfFlux for good Psf Candidates config.processCcd.charImage.measurePsf.starSelector['objectSize'].fluxMin=4000.0 # specify the maximum psfFlux for good Psf Candidates (ignored if == 0) config.processCcd.charImage.measurePsf.starSelector['objectSize'].fluxMax=0.0 # Apply signal-to-noise (i.e. flux/fluxErr) limit to Psf Candidate selection? config.processCcd.charImage.measurePsf.starSelector['objectSize'].doSignalToNoiseLimit=False # specify the minimum signal-to-noise for good Psf Candidates config.processCcd.charImage.measurePsf.starSelector['objectSize'].signalToNoiseMin=20.0 # specify the maximum signal-to-noise for good Psf Candidates (ignored if == 0) config.processCcd.charImage.measurePsf.starSelector['objectSize'].signalToNoiseMax=0.0 # minimum width to include in histogram config.processCcd.charImage.measurePsf.starSelector['objectSize'].widthMin=0.9 # maximum width to include in histogram config.processCcd.charImage.measurePsf.starSelector['objectSize'].widthMax=10.0 # Name of field in Source to use for flux measurement config.processCcd.charImage.measurePsf.starSelector['objectSize'].sourceFluxField='base_PsfFlux_instFlux' # Standard deviation of width allowed to be interpreted as good stars config.processCcd.charImage.measurePsf.starSelector['objectSize'].widthStdAllowed=0.15 # Keep objects within this many sigma of cluster 0's median config.processCcd.charImage.measurePsf.starSelector['objectSize'].nSigmaClip=2.0 # List of flags which cause a source to be rejected as bad config.processCcd.charImage.measurePsf.starSelector['objectSize'].badFlags=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_interpolatedCenter', 'base_PixelFlags_flag_saturatedCenter', 'base_PixelFlags_flag_crCenter', 'base_PixelFlags_flag_bad', 'base_PixelFlags_flag_interpolated'] # Name of a flag field that is True for Sources that should be used. config.processCcd.charImage.measurePsf.starSelector['flagged'].field='calib_psf_used' # List of flags which cause a source to be rejected as bad config.processCcd.charImage.measurePsf.starSelector['astrometry'].badFlags=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_interpolatedCenter', 'base_PixelFlags_flag_saturatedCenter', 'base_PixelFlags_flag_crCenter', 'base_PixelFlags_flag_bad'] # Type of source flux; typically one of Ap or Psf config.processCcd.charImage.measurePsf.starSelector['astrometry'].sourceFluxType='Ap' # Minimum allowed signal-to-noise ratio for sources used for matching (in the flux specified by sourceFluxType); <= 0 for no limit config.processCcd.charImage.measurePsf.starSelector['astrometry'].minSnr=10.0 # Type of source flux; typically one of Ap or Psf config.processCcd.charImage.measurePsf.starSelector['matcher'].sourceFluxType='Ap' # Minimum allowed signal-to-noise ratio for sources used for matching (in the flux specified by sourceFluxType); <= 0 for no limit config.processCcd.charImage.measurePsf.starSelector['matcher'].minSnr=40.0 # Exclude objects that have saturated, interpolated, or edge pixels using PixelFlags. For matchOptimisticB set this to False to recover previous matcher selector behavior. config.processCcd.charImage.measurePsf.starSelector['matcher'].excludePixelFlags=True config.processCcd.charImage.measurePsf.starSelector.name='objectSize' # size of the kernel to create config.processCcd.charImage.measurePsf.makePsfCandidates.kernelSize=21 # number of pixels to ignore around the edge of PSF candidate postage stamps config.processCcd.charImage.measurePsf.makePsfCandidates.borderWidth=0 # radius of the kernel to create, relative to the square root of the stellar quadrupole moments config.processCcd.charImage.measurePsf.psfDeterminer['pca'].kernelSize=10.0 # Minimum radius of the kernel config.processCcd.charImage.measurePsf.psfDeterminer['pca'].kernelSizeMin=25 # Maximum radius of the kernel config.processCcd.charImage.measurePsf.psfDeterminer['pca'].kernelSizeMax=45 # Use non-linear fitter for spatial variation of Kernel config.processCcd.charImage.measurePsf.psfDeterminer['pca'].nonLinearSpatialFit=False # number of eigen components for PSF kernel creation config.processCcd.charImage.measurePsf.psfDeterminer['pca'].nEigenComponents=4 # specify spatial order for PSF kernel creation config.processCcd.charImage.measurePsf.psfDeterminer['pca'].spatialOrder=2 # size of cell used to determine PSF (pixels, column direction) config.processCcd.charImage.measurePsf.psfDeterminer['pca'].sizeCellX=256 # size of cell used to determine PSF (pixels, row direction) config.processCcd.charImage.measurePsf.psfDeterminer['pca'].sizeCellY=256 # number of stars per psf cell for PSF kernel creation config.processCcd.charImage.measurePsf.psfDeterminer['pca'].nStarPerCell=3 # Number of pixels to ignore around the edge of PSF candidate postage stamps config.processCcd.charImage.measurePsf.psfDeterminer['pca'].borderWidth=0 # number of stars per psf Cell for spatial fitting config.processCcd.charImage.measurePsf.psfDeterminer['pca'].nStarPerCellSpatialFit=5 # Should each PSF candidate be given the same weight, independent of magnitude? config.processCcd.charImage.measurePsf.psfDeterminer['pca'].constantWeight=True # number of iterations of PSF candidate star list config.processCcd.charImage.measurePsf.psfDeterminer['pca'].nIterForPsf=3 # tolerance of spatial fitting config.processCcd.charImage.measurePsf.psfDeterminer['pca'].tolerance=0.01 # floor for variance is lam*data config.processCcd.charImage.measurePsf.psfDeterminer['pca'].lam=0.05 # for psf candidate evaluation config.processCcd.charImage.measurePsf.psfDeterminer['pca'].reducedChi2ForPsfCandidates=2.0 # Rejection threshold (stdev) for candidates based on spatial fit config.processCcd.charImage.measurePsf.psfDeterminer['pca'].spatialReject=3.0 # Threshold (stdev) for rejecting extraneous pixels around candidate; applied if positive config.processCcd.charImage.measurePsf.psfDeterminer['pca'].pixelThreshold=0.0 # Reject candidates that are blended? config.processCcd.charImage.measurePsf.psfDeterminer['pca'].doRejectBlends=False # Mask blends in image? config.processCcd.charImage.measurePsf.psfDeterminer['pca'].doMaskBlends=True # Size of the postage stamp around each star that is extracted for fitting.Note: this reflects the oversampling setting of the psf, set by `samplingSize`;e.g. `samplingSize=0.5` would require this value to be 2x what you expect. config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].kernelSize=81 # Minimum radius of the kernel config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].kernelSizeMin=25 # Maximum radius of the kernel config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].kernelSizeMax=45 # specify spatial order for PSF kernel creation config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].spatialOrder=2 # size of cell used to determine PSF (pixels, column direction) config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].sizeCellX=256 # size of cell used to determine PSF (pixels, row direction) config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].sizeCellY=256 # Resolution of the internal PSF model relative to the pixel size; e.g. 0.5 is equal to 2x oversampling config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].samplingSize=0.5 # List of mask bits which cause a source to be rejected as bad N.b. INTRP is used specially in PsfCandidateSet; it means "Contaminated by neighbour" config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].badMaskBits=['INTRP', 'SAT'] # BASIS value given to psfex. PIXEL_AUTO will use the requested samplingSize only if the FWHM < 3 pixels. Otherwise, it will use samplingSize=1. PIXEL will always use the requested samplingSize config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].psfexBasis='PIXEL_AUTO' # tolerance of spatial fitting config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].tolerance=0.01 # floor for variance is lam*data config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].lam=0.05 # for psf candidate evaluation config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].reducedChi2ForPsfCandidates=2.0 # Rejection threshold (stdev) for candidates based on spatial fit config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].spatialReject=3.0 # Should PSFEX be permitted to recentroid PSF candidates? config.processCcd.charImage.measurePsf.psfDeterminer['psfex'].recentroid=False config.processCcd.charImage.measurePsf.psfDeterminer.name='psfex' # Fraction of candidates to reserve from fitting; none if <= 0 config.processCcd.charImage.measurePsf.reserve.fraction=0.2 # This number will be added to the exposure ID to set the random seed for reserving candidates config.processCcd.charImage.measurePsf.reserve.seed=1 # Interpolate over defects? (ignored unless you provide a list of defects) config.processCcd.charImage.repair.doInterpolate=True # Find and mask out cosmic rays? config.processCcd.charImage.repair.doCosmicRay=True # maximum number of contaminated pixels config.processCcd.charImage.repair.cosmicray.nCrPixelMax=1000000 # CRs must be > this many sky-sig above sky config.processCcd.charImage.repair.cosmicray.minSigma=6.0 # CRs must have > this many DN (== electrons/gain) in initial detection config.processCcd.charImage.repair.cosmicray.min_DN=150.0 # used in condition 3 for CR; see CR.cc code config.processCcd.charImage.repair.cosmicray.cond3_fac=2.5 # used in condition 3 for CR; see CR.cc code config.processCcd.charImage.repair.cosmicray.cond3_fac2=0.4 # number of times to look for contaminated pixels near known CR pixels config.processCcd.charImage.repair.cosmicray.niteration=3 # Don't interpolate over CR pixels config.processCcd.charImage.repair.cosmicray.keepCRs=False # type of statistic to use for grid points config.processCcd.charImage.repair.cosmicray.background.statisticsProperty='MEDIAN' # behaviour if there are too few points in grid for requested interpolation style config.processCcd.charImage.repair.cosmicray.background.undersampleStyle='REDUCE_INTERP_ORDER' # how large a region of the sky should be used for each background point config.processCcd.charImage.repair.cosmicray.background.binSize=100000 # Sky region size to be used for each background point in X direction. If 0, the binSize config is used. config.processCcd.charImage.repair.cosmicray.background.binSizeX=0 # Sky region size to be used for each background point in Y direction. If 0, the binSize config is used. config.processCcd.charImage.repair.cosmicray.background.binSizeY=0 # how to interpolate the background values. This maps to an enum; see afw::math::Background config.processCcd.charImage.repair.cosmicray.background.algorithm='AKIMA_SPLINE' # Names of mask planes to ignore while estimating the background config.processCcd.charImage.repair.cosmicray.background.ignoredPixelMask=['BAD', 'EDGE', 'DETECTED', 'DETECTED_NEGATIVE', 'NO_DATA'] # Ignore NaNs when estimating the background config.processCcd.charImage.repair.cosmicray.background.isNanSafe=False # Use Approximate (Chebyshev) to model background. config.processCcd.charImage.repair.cosmicray.background.useApprox=False # Approximation order in X for background Chebyshev (valid only with useApprox=True) config.processCcd.charImage.repair.cosmicray.background.approxOrderX=6 # Approximation order in Y for background Chebyshev (valid only with useApprox=True) config.processCcd.charImage.repair.cosmicray.background.approxOrderY=-1 # Use inverse variance weighting in calculation (valid only with useApprox=True) config.processCcd.charImage.repair.cosmicray.background.weighting=True # Kernel size (width and height) (pixels); if None then sizeFactor is used config.processCcd.charImage.repair.interp.modelPsf.size=None # Kernel size as a factor of fwhm (dimensionless); size = sizeFactor * fwhm; ignored if size is not None config.processCcd.charImage.repair.interp.modelPsf.sizeFactor=3.0 # Minimum kernel size if using sizeFactor (pixels); ignored if size is not None config.processCcd.charImage.repair.interp.modelPsf.minSize=5 # Maximum kernel size if using sizeFactor (pixels); ignored if size is not None config.processCcd.charImage.repair.interp.modelPsf.maxSize=None # Default FWHM of Gaussian model of core of star (pixels) config.processCcd.charImage.repair.interp.modelPsf.defaultFwhm=3.0 # Add a Gaussian to represent wings? config.processCcd.charImage.repair.interp.modelPsf.addWing=True # wing width, as a multiple of core width (dimensionless); ignored if addWing false config.processCcd.charImage.repair.interp.modelPsf.wingFwhmFactor=2.5 # wing amplitude, as a multiple of core amplitude (dimensionless); ignored if addWing false config.processCcd.charImage.repair.interp.modelPsf.wingAmplitude=0.1 # Smoothly taper to the fallback value at the edge of the image? config.processCcd.charImage.repair.interp.useFallbackValueAtEdge=True # Type of statistic to calculate edge fallbackValue for interpolation config.processCcd.charImage.repair.interp.fallbackValueType='MEANCLIP' # If fallbackValueType is 'USER' then use this as the fallbackValue; ignored otherwise config.processCcd.charImage.repair.interp.fallbackUserValue=0.0 # Allow negative values for egde interpolation fallbackValue? If False, set fallbackValue to max(fallbackValue, 0.0) config.processCcd.charImage.repair.interp.negativeFallbackAllowed=True # Transpose image before interpolating? This allows the interpolation to act over columns instead of rows. config.processCcd.charImage.repair.interp.transpose=False # Require cosmic ray detection and masking to run successfully before measuring the PSF. config.processCcd.charImage.requireCrForPsf=True # Strictness of Astropy unit compatibility check, can be 'raise', 'warn' or 'silent' config.processCcd.charImage.checkUnitsParseStrict='raise' # name for connection exposure config.processCcd.charImage.connections.exposure='postISRCCD' # name for connection characterized config.processCcd.charImage.connections.characterized='icExp' # name for connection sourceCat config.processCcd.charImage.connections.sourceCat='icSrc' # name for connection backgroundModel config.processCcd.charImage.connections.backgroundModel='icExpBackground' # name for connection outputSchema config.processCcd.charImage.connections.outputSchema='icSrc_schema' # Perform calibration? config.processCcd.doCalibrate=True # Flag to enable/disable metadata saving for a task, enabled by default. config.processCcd.calibrate.saveMetadata=True # Save calibration results? config.processCcd.calibrate.doWrite=True # Include HeavyFootprint data in source table? If false then heavy footprints are saved as normal footprints, which saves some space config.processCcd.calibrate.doWriteHeavyFootprintsInSources=True # Write reference matches (ignored if doWrite or doAstrometry false)? config.processCcd.calibrate.doWriteMatches=True # Write reference matches in denormalized format? This format uses more disk space, but is more convenient to read. Ignored if doWriteMatches=False or doWrite=False. config.processCcd.calibrate.doWriteMatchesDenormalized=True # Perform astrometric calibration? config.processCcd.calibrate.doAstrometry=True # Padding to add to 4 all edges of the bounding box (pixels) config.processCcd.calibrate.astromRefObjLoader.pixelMargin=300 # Default reference catalog filter to use if filter not specified in exposure; if blank then filter must be specified in exposure. config.processCcd.calibrate.astromRefObjLoader.defaultFilter='' # Always use this reference catalog filter, no matter whether or what filter name is supplied to the loader. Effectively a trivial filterMap: map all filter names to this filter. This can be set for purely-astrometric catalogs (e.g. Gaia DR2) where there is only one reasonable choice for every camera filter->refcat mapping, but not for refcats used for photometry, which need a filterMap and/or colorterms/transmission corrections. config.processCcd.calibrate.astromRefObjLoader.anyFilterMapsToThis=None # Mapping of camera filter name: reference catalog filter name; each reference filter must exist in the refcat. Note that this does not perform any bandpass corrections: it is just a lookup. config.processCcd.calibrate.astromRefObjLoader.filterMap={'B': 'g', 'V': 'r', 'R': 'r', 'I': 'i', 'r2': 'r', 'i2': 'i', 'N387': 'g', 'N468': 'g', 'N515': 'g', 'N527': 'g', 'N656': 'r', 'N718': 'i', 'N816': 'i', 'N921': 'z', 'N926': 'z', 'N973': 'y', 'N1010': 'y', 'I945': 'z', 'HSC-G': 'g', 'HSC-R': 'r', 'HSC-R2': 'r', 'HSC-I': 'i', 'HSC-I2': 'i', 'HSC-Z': 'z', 'HSC-Y': 'y', 'NB0387': 'g', 'NB0468': 'g', 'NB0515': 'g', 'NB0527': 'g', 'NB0656': 'r', 'NB0718': 'i', 'NB0816': 'i', 'NB0921': 'z', 'NB0926': 'z', 'NB0973': 'y', 'NB1010': 'y', 'IB0945': 'z'} # Require that the fields needed to correct proper motion (epoch, pm_ra and pm_dec) are present? config.processCcd.calibrate.astromRefObjLoader.requireProperMotion=False # Name of the ingested reference dataset config.processCcd.calibrate.astromRefObjLoader.ref_dataset_name='ps1_pv3_3pi_20170110' # Padding to add to 4 all edges of the bounding box (pixels) config.processCcd.calibrate.photoRefObjLoader.pixelMargin=300 # Default reference catalog filter to use if filter not specified in exposure; if blank then filter must be specified in exposure. config.processCcd.calibrate.photoRefObjLoader.defaultFilter='' # Always use this reference catalog filter, no matter whether or what filter name is supplied to the loader. Effectively a trivial filterMap: map all filter names to this filter. This can be set for purely-astrometric catalogs (e.g. Gaia DR2) where there is only one reasonable choice for every camera filter->refcat mapping, but not for refcats used for photometry, which need a filterMap and/or colorterms/transmission corrections. config.processCcd.calibrate.photoRefObjLoader.anyFilterMapsToThis=None # Mapping of camera filter name: reference catalog filter name; each reference filter must exist in the refcat. Note that this does not perform any bandpass corrections: it is just a lookup. config.processCcd.calibrate.photoRefObjLoader.filterMap={'B': 'g', 'V': 'r', 'R': 'r', 'I': 'i', 'r2': 'r', 'i2': 'i', 'N387': 'g', 'N468': 'g', 'N515': 'g', 'N527': 'g', 'N656': 'r', 'N718': 'i', 'N816': 'i', 'N921': 'z', 'N926': 'z', 'N973': 'y', 'N1010': 'y', 'I945': 'z', 'HSC-G': 'g', 'HSC-R': 'r', 'HSC-R2': 'r', 'HSC-I': 'i', 'HSC-I2': 'i', 'HSC-Z': 'z', 'HSC-Y': 'y', 'NB0387': 'g', 'NB0468': 'g', 'NB0515': 'g', 'NB0527': 'g', 'NB0656': 'r', 'NB0718': 'i', 'NB0816': 'i', 'NB0921': 'z', 'NB0926': 'z', 'NB0973': 'y', 'NB1010': 'y', 'IB0945': 'z'} # Require that the fields needed to correct proper motion (epoch, pm_ra and pm_dec) are present? config.processCcd.calibrate.photoRefObjLoader.requireProperMotion=False # Name of the ingested reference dataset config.processCcd.calibrate.photoRefObjLoader.ref_dataset_name='ps1_pv3_3pi_20170110' # Number of bright stars to use. Sets the max number of patterns that can be tested. config.processCcd.calibrate.astrometry.matcher.numBrightStars=150 # Minimum number of matched pairs; see also minFracMatchedPairs. config.processCcd.calibrate.astrometry.matcher.minMatchedPairs=30 # Minimum number of matched pairs as a fraction of the smaller of the number of reference stars or the number of good sources; the actual minimum is the smaller of this value or minMatchedPairs. config.processCcd.calibrate.astrometry.matcher.minFracMatchedPairs=0.3 # Number of softening iterations in matcher. config.processCcd.calibrate.astrometry.matcher.matcherIterations=5 # Maximum allowed shift of WCS, due to matching (pixel). When changing this value, the LoadReferenceObjectsConfig.pixelMargin should also be updated. config.processCcd.calibrate.astrometry.matcher.maxOffsetPix=250 # Rotation angle allowed between sources and position reference objects (degrees). config.processCcd.calibrate.astrometry.matcher.maxRotationDeg=1.145916 # Number of points to define a shape for matching. config.processCcd.calibrate.astrometry.matcher.numPointsForShape=6 # Number of points to try for creating a shape. This value should be greater than or equal to numPointsForShape. Besides loosening the signal to noise cut in the 'matcher' SourceSelector, increasing this number will solve CCDs where no match was found. config.processCcd.calibrate.astrometry.matcher.numPointsForShapeAttempt=6 # Distance in units of pixels to always consider a source-reference pair a match. This prevents the astrometric fitter from over-fitting and removing stars that should be matched and allows for inclusion of new matches as the wcs improves. config.processCcd.calibrate.astrometry.matcher.minMatchDistPixels=1.0 # Number of implied shift/rotations from patterns that must agree before it a given shift/rotation is accepted. This is only used after the first softening iteration fails and if both the number of reference and source objects is greater than numBrightStars. config.processCcd.calibrate.astrometry.matcher.numPatternConsensus=3 # If the available reference objects exceeds this number, consensus/pessimistic mode will enforced regardless of the number of available sources. Below this optimistic mode (exit at first match rather than requiring numPatternConsensus to be matched) can be used. If more sources are required to match, decrease the signal to noise cut in the sourceSelector. config.processCcd.calibrate.astrometry.matcher.numRefRequireConsensus=1000 # Maximum number of reference objects to use for the matcher. The absolute maximum allowed for is 2 ** 16 for memory reasons. config.processCcd.calibrate.astrometry.matcher.maxRefObjects=65536 # the maximum match distance is set to mean_match_distance + matchDistanceSigma*std_dev_match_distance; ignored if not fitting a WCS config.processCcd.calibrate.astrometry.matchDistanceSigma=2.0 # Apply flux limit? config.processCcd.calibrate.astrometry.sourceSelector['science'].doFluxLimit=False # Apply flag limitation? config.processCcd.calibrate.astrometry.sourceSelector['science'].doFlags=False # Apply unresolved limitation? config.processCcd.calibrate.astrometry.sourceSelector['science'].doUnresolved=False # Apply signal-to-noise limit? config.processCcd.calibrate.astrometry.sourceSelector['science'].doSignalToNoise=False # Apply isolated limitation? config.processCcd.calibrate.astrometry.sourceSelector['science'].doIsolated=False # Select objects with value greater than this config.processCcd.calibrate.astrometry.sourceSelector['science'].fluxLimit.minimum=None # Select objects with value less than this config.processCcd.calibrate.astrometry.sourceSelector['science'].fluxLimit.maximum=None # Name of the source flux field to use. config.processCcd.calibrate.astrometry.sourceSelector['science'].fluxLimit.fluxField='slot_CalibFlux_instFlux' # List of source flag fields that must be set for a source to be used. config.processCcd.calibrate.astrometry.sourceSelector['science'].flags.good=[] # List of source flag fields that must NOT be set for a source to be used. config.processCcd.calibrate.astrometry.sourceSelector['science'].flags.bad=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_saturated', 'base_PsfFlux_flags'] # Select objects with value greater than this config.processCcd.calibrate.astrometry.sourceSelector['science'].unresolved.minimum=None # Select objects with value less than this config.processCcd.calibrate.astrometry.sourceSelector['science'].unresolved.maximum=0.5 # Name of column for star/galaxy separation config.processCcd.calibrate.astrometry.sourceSelector['science'].unresolved.name='base_ClassificationExtendedness_value' # Select objects with value greater than this config.processCcd.calibrate.astrometry.sourceSelector['science'].signalToNoise.minimum=None # Select objects with value less than this config.processCcd.calibrate.astrometry.sourceSelector['science'].signalToNoise.maximum=None # Name of the source flux field to use. config.processCcd.calibrate.astrometry.sourceSelector['science'].signalToNoise.fluxField='base_PsfFlux_instFlux' # Name of the source flux error field to use. config.processCcd.calibrate.astrometry.sourceSelector['science'].signalToNoise.errField='base_PsfFlux_instFluxErr' # Name of column for parent config.processCcd.calibrate.astrometry.sourceSelector['science'].isolated.parentName='parent' # Name of column for nChild config.processCcd.calibrate.astrometry.sourceSelector['science'].isolated.nChildName='deblend_nChild' # Apply magnitude limit? config.processCcd.calibrate.astrometry.sourceSelector['references'].doMagLimit=False # Apply flag limitation? config.processCcd.calibrate.astrometry.sourceSelector['references'].doFlags=False # Apply unresolved limitation? config.processCcd.calibrate.astrometry.sourceSelector['references'].doUnresolved=False # Apply signal-to-noise limit? config.processCcd.calibrate.astrometry.sourceSelector['references'].doSignalToNoise=False # Apply magnitude error limit? config.processCcd.calibrate.astrometry.sourceSelector['references'].doMagError=False # Select objects with value greater than this config.processCcd.calibrate.astrometry.sourceSelector['references'].magLimit.minimum=None # Select objects with value less than this config.processCcd.calibrate.astrometry.sourceSelector['references'].magLimit.maximum=None # Name of the source flux field to use. config.processCcd.calibrate.astrometry.sourceSelector['references'].magLimit.fluxField='flux' # List of source flag fields that must be set for a source to be used. config.processCcd.calibrate.astrometry.sourceSelector['references'].flags.good=[] # List of source flag fields that must NOT be set for a source to be used. config.processCcd.calibrate.astrometry.sourceSelector['references'].flags.bad=[] # Select objects with value greater than this config.processCcd.calibrate.astrometry.sourceSelector['references'].unresolved.minimum=None # Select objects with value less than this config.processCcd.calibrate.astrometry.sourceSelector['references'].unresolved.maximum=0.5 # Name of column for star/galaxy separation config.processCcd.calibrate.astrometry.sourceSelector['references'].unresolved.name='base_ClassificationExtendedness_value' # Select objects with value greater than this config.processCcd.calibrate.astrometry.sourceSelector['references'].signalToNoise.minimum=None # Select objects with value less than this config.processCcd.calibrate.astrometry.sourceSelector['references'].signalToNoise.maximum=None # Name of the source flux field to use. config.processCcd.calibrate.astrometry.sourceSelector['references'].signalToNoise.fluxField='flux' # Name of the source flux error field to use. config.processCcd.calibrate.astrometry.sourceSelector['references'].signalToNoise.errField='flux_err' # Select objects with value greater than this config.processCcd.calibrate.astrometry.sourceSelector['references'].magError.minimum=None # Select objects with value less than this config.processCcd.calibrate.astrometry.sourceSelector['references'].magError.maximum=None # Name of the source flux error field to use. config.processCcd.calibrate.astrometry.sourceSelector['references'].magError.magErrField='mag_err' config.processCcd.calibrate.astrometry.sourceSelector['references'].colorLimits={} # Apply flux limit to Psf Candidate selection? config.processCcd.calibrate.astrometry.sourceSelector['objectSize'].doFluxLimit=True # specify the minimum psfFlux for good Psf Candidates config.processCcd.calibrate.astrometry.sourceSelector['objectSize'].fluxMin=12500.0 # specify the maximum psfFlux for good Psf Candidates (ignored if == 0) config.processCcd.calibrate.astrometry.sourceSelector['objectSize'].fluxMax=0.0 # Apply signal-to-noise (i.e. flux/fluxErr) limit to Psf Candidate selection? config.processCcd.calibrate.astrometry.sourceSelector['objectSize'].doSignalToNoiseLimit=False # specify the minimum signal-to-noise for good Psf Candidates config.processCcd.calibrate.astrometry.sourceSelector['objectSize'].signalToNoiseMin=20.0 # specify the maximum signal-to-noise for good Psf Candidates (ignored if == 0) config.processCcd.calibrate.astrometry.sourceSelector['objectSize'].signalToNoiseMax=0.0 # minimum width to include in histogram config.processCcd.calibrate.astrometry.sourceSelector['objectSize'].widthMin=0.0 # maximum width to include in histogram config.processCcd.calibrate.astrometry.sourceSelector['objectSize'].widthMax=10.0 # Name of field in Source to use for flux measurement config.processCcd.calibrate.astrometry.sourceSelector['objectSize'].sourceFluxField='base_GaussianFlux_instFlux' # Standard deviation of width allowed to be interpreted as good stars config.processCcd.calibrate.astrometry.sourceSelector['objectSize'].widthStdAllowed=0.15 # Keep objects within this many sigma of cluster 0's median config.processCcd.calibrate.astrometry.sourceSelector['objectSize'].nSigmaClip=2.0 # List of flags which cause a source to be rejected as bad config.processCcd.calibrate.astrometry.sourceSelector['objectSize'].badFlags=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_interpolatedCenter', 'base_PixelFlags_flag_saturatedCenter', 'base_PixelFlags_flag_crCenter', 'base_PixelFlags_flag_bad', 'base_PixelFlags_flag_interpolated'] # Name of a flag field that is True for Sources that should be used. config.processCcd.calibrate.astrometry.sourceSelector['flagged'].field='calib_psf_used' # List of flags which cause a source to be rejected as bad config.processCcd.calibrate.astrometry.sourceSelector['astrometry'].badFlags=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_interpolatedCenter', 'base_PixelFlags_flag_saturatedCenter', 'base_PixelFlags_flag_crCenter', 'base_PixelFlags_flag_bad'] # Type of source flux; typically one of Ap or Psf config.processCcd.calibrate.astrometry.sourceSelector['astrometry'].sourceFluxType='Ap' # Minimum allowed signal-to-noise ratio for sources used for matching (in the flux specified by sourceFluxType); <= 0 for no limit config.processCcd.calibrate.astrometry.sourceSelector['astrometry'].minSnr=10.0 # Type of source flux; typically one of Ap or Psf config.processCcd.calibrate.astrometry.sourceSelector['matcher'].sourceFluxType='Psf' # Minimum allowed signal-to-noise ratio for sources used for matching (in the flux specified by sourceFluxType); <= 0 for no limit config.processCcd.calibrate.astrometry.sourceSelector['matcher'].minSnr=40.0 # Exclude objects that have saturated, interpolated, or edge pixels using PixelFlags. For matchOptimisticB set this to False to recover previous matcher selector behavior. config.processCcd.calibrate.astrometry.sourceSelector['matcher'].excludePixelFlags=True config.processCcd.calibrate.astrometry.sourceSelector.name='matcher' # Apply magnitude limit? config.processCcd.calibrate.astrometry.referenceSelector.doMagLimit=False # Apply flag limitation? config.processCcd.calibrate.astrometry.referenceSelector.doFlags=False # Apply unresolved limitation? config.processCcd.calibrate.astrometry.referenceSelector.doUnresolved=False # Apply signal-to-noise limit? config.processCcd.calibrate.astrometry.referenceSelector.doSignalToNoise=False # Apply magnitude error limit? config.processCcd.calibrate.astrometry.referenceSelector.doMagError=False # Select objects with value greater than this config.processCcd.calibrate.astrometry.referenceSelector.magLimit.minimum=None # Select objects with value less than this config.processCcd.calibrate.astrometry.referenceSelector.magLimit.maximum=None # Name of the source flux field to use. config.processCcd.calibrate.astrometry.referenceSelector.magLimit.fluxField='flux' # List of source flag fields that must be set for a source to be used. config.processCcd.calibrate.astrometry.referenceSelector.flags.good=[] # List of source flag fields that must NOT be set for a source to be used. config.processCcd.calibrate.astrometry.referenceSelector.flags.bad=[] # Select objects with value greater than this config.processCcd.calibrate.astrometry.referenceSelector.unresolved.minimum=None # Select objects with value less than this config.processCcd.calibrate.astrometry.referenceSelector.unresolved.maximum=0.5 # Name of column for star/galaxy separation config.processCcd.calibrate.astrometry.referenceSelector.unresolved.name='base_ClassificationExtendedness_value' # Select objects with value greater than this config.processCcd.calibrate.astrometry.referenceSelector.signalToNoise.minimum=None # Select objects with value less than this config.processCcd.calibrate.astrometry.referenceSelector.signalToNoise.maximum=None # Name of the source flux field to use. config.processCcd.calibrate.astrometry.referenceSelector.signalToNoise.fluxField='flux' # Name of the source flux error field to use. config.processCcd.calibrate.astrometry.referenceSelector.signalToNoise.errField='flux_err' # Select objects with value greater than this config.processCcd.calibrate.astrometry.referenceSelector.magError.minimum=None # Select objects with value less than this config.processCcd.calibrate.astrometry.referenceSelector.magError.maximum=None # Name of the source flux error field to use. config.processCcd.calibrate.astrometry.referenceSelector.magError.magErrField='mag_err' config.processCcd.calibrate.astrometry.referenceSelector.colorLimits={} # Source flux type to use in source selection. config.processCcd.calibrate.astrometry.sourceFluxType='Psf' # order of SIP polynomial config.processCcd.calibrate.astrometry.wcsFitter.order=3 # number of iterations of fitter (which fits X and Y separately, and so benefits from a few iterations config.processCcd.calibrate.astrometry.wcsFitter.numIter=3 # number of rejection iterations config.processCcd.calibrate.astrometry.wcsFitter.numRejIter=3 # Number of standard deviations for clipping level config.processCcd.calibrate.astrometry.wcsFitter.rejSigma=3.0 # maximum median scatter of a WCS fit beyond which the fit fails (arcsec); be generous, as this is only intended to catch catastrophic failures config.processCcd.calibrate.astrometry.wcsFitter.maxScatterArcsec=10.0 # If True then load reference objects and match sources but do not fit a WCS; this simply controls whether 'run' calls 'solve' or 'loadAndMatch' config.processCcd.calibrate.astrometry.forceKnownWcs=False # maximum number of iterations of match sources and fit WCSignored if not fitting a WCS config.processCcd.calibrate.astrometry.maxIter=3 # the match distance below which further iteration is pointless (arcsec); ignored if not fitting a WCS config.processCcd.calibrate.astrometry.minMatchDistanceArcSec=0.001 # Raise an exception if astrometry fails? Ignored if doAstrometry false. config.processCcd.calibrate.requireAstrometry=True # Perform phometric calibration? config.processCcd.calibrate.doPhotoCal=True # Raise an exception if photoCal fails? Ignored if doPhotoCal false. config.processCcd.calibrate.requirePhotoCal=True # Matching radius, arcsec config.processCcd.calibrate.photoCal.match.matchRadius=0.25 # Apply flux limit? config.processCcd.calibrate.photoCal.match.sourceSelection.doFluxLimit=False # Apply flag limitation? config.processCcd.calibrate.photoCal.match.sourceSelection.doFlags=True # Apply unresolved limitation? config.processCcd.calibrate.photoCal.match.sourceSelection.doUnresolved=True # Apply signal-to-noise limit? config.processCcd.calibrate.photoCal.match.sourceSelection.doSignalToNoise=False # Apply isolated limitation? config.processCcd.calibrate.photoCal.match.sourceSelection.doIsolated=False # Select objects with value greater than this config.processCcd.calibrate.photoCal.match.sourceSelection.fluxLimit.minimum=None # Select objects with value less than this config.processCcd.calibrate.photoCal.match.sourceSelection.fluxLimit.maximum=None # Name of the source flux field to use. config.processCcd.calibrate.photoCal.match.sourceSelection.fluxLimit.fluxField='slot_CalibFlux_instFlux' # List of source flag fields that must be set for a source to be used. config.processCcd.calibrate.photoCal.match.sourceSelection.flags.good=[] # List of source flag fields that must NOT be set for a source to be used. config.processCcd.calibrate.photoCal.match.sourceSelection.flags.bad=['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_interpolated', 'base_PixelFlags_flag_saturated'] # Select objects with value greater than this config.processCcd.calibrate.photoCal.match.sourceSelection.unresolved.minimum=None # Select objects with value less than this config.processCcd.calibrate.photoCal.match.sourceSelection.unresolved.maximum=0.5 # Name of column for star/galaxy separation config.processCcd.calibrate.photoCal.match.sourceSelection.unresolved.name='base_ClassificationExtendedness_value' # Select objects with value greater than this config.processCcd.calibrate.photoCal.match.sourceSelection.signalToNoise.minimum=None # Select objects with value less than this config.processCcd.calibrate.photoCal.match.sourceSelection.signalToNoise.maximum=None # Name of the source flux field to use. config.processCcd.calibrate.photoCal.match.sourceSelection.signalToNoise.fluxField='base_PsfFlux_instFlux' # Name of the source flux error field to use. config.processCcd.calibrate.photoCal.match.sourceSelection.signalToNoise.errField='base_PsfFlux_instFluxErr' # Name of column for parent config.processCcd.calibrate.photoCal.match.sourceSelection.isolated.parentName='parent' # Name of column for nChild config.processCcd.calibrate.photoCal.match.sourceSelection.isolated.nChildName='deblend_nChild' # Apply magnitude limit? config.processCcd.calibrate.photoCal.match.referenceSelection.doMagLimit=True # Apply flag limitation? config.processCcd.calibrate.photoCal.match.referenceSelection.doFlags=False # Apply unresolved limitation? config.processCcd.calibrate.photoCal.match.referenceSelection.doUnresolved=False # Apply signal-to-noise limit? config.processCcd.calibrate.photoCal.match.referenceSelection.doSignalToNoise=False # Apply magnitude error limit? config.processCcd.calibrate.photoCal.match.referenceSelection.doMagError=False # Select objects with value greater than this config.processCcd.calibrate.photoCal.match.referenceSelection.magLimit.minimum=None # Select objects with value less than this config.processCcd.calibrate.photoCal.match.referenceSelection.magLimit.maximum=22.0 # Name of the source flux field to use. config.processCcd.calibrate.photoCal.match.referenceSelection.magLimit.fluxField='i_flux' # List of source flag fields that must be set for a source to be used. config.processCcd.calibrate.photoCal.match.referenceSelection.flags.good=[] # List of source flag fields that must NOT be set for a source to be used. config.processCcd.calibrate.photoCal.match.referenceSelection.flags.bad=[] # Select objects with value greater than this config.processCcd.calibrate.photoCal.match.referenceSelection.unresolved.minimum=None # Select objects with value less than this config.processCcd.calibrate.photoCal.match.referenceSelection.unresolved.maximum=0.5 # Name of column for star/galaxy separation config.processCcd.calibrate.photoCal.match.referenceSelection.unresolved.name='base_ClassificationExtendedness_value' # Select objects with value greater than this config.processCcd.calibrate.photoCal.match.referenceSelection.signalToNoise.minimum=None # Select objects with value less than this config.processCcd.calibrate.photoCal.match.referenceSelection.signalToNoise.maximum=None # Name of the source flux field to use. config.processCcd.calibrate.photoCal.match.referenceSelection.signalToNoise.fluxField='flux' # Name of the source flux error field to use. config.processCcd.calibrate.photoCal.match.referenceSelection.signalToNoise.errField='flux_err' # Select objects with value greater than this config.processCcd.calibrate.photoCal.match.referenceSelection.magError.minimum=None # Select objects with value less than this config.processCcd.calibrate.photoCal.match.referenceSelection.magError.maximum=None # Name of the source flux error field to use. config.processCcd.calibrate.photoCal.match.referenceSelection.magError.magErrField='mag_err' config.processCcd.calibrate.photoCal.match.referenceSelection.colorLimits={} config.processCcd.calibrate.photoCal.match.referenceSelection.colorLimits['g-r']=lsst.meas.algorithms.sourceSelector.ColorLimit() # Select objects with value greater than this config.processCcd.calibrate.photoCal.match.referenceSelection.colorLimits['g-r'].minimum=0.0 # Select objects with value less than this config.processCcd.calibrate.photoCal.match.referenceSelection.colorLimits['g-r'].maximum=None # Name of column with primary flux measurement config.processCcd.calibrate.photoCal.match.referenceSelection.colorLimits['g-r'].primary='g_flux' # Name of column with secondary flux measurement config.processCcd.calibrate.photoCal.match.referenceSelection.colorLimits['g-r'].secondary='r_flux' config.processCcd.calibrate.photoCal.match.referenceSelection.colorLimits['r-i']=lsst.meas.algorithms.sourceSelector.ColorLimit() # Select objects with value greater than this config.processCcd.calibrate.photoCal.match.referenceSelection.colorLimits['r-i'].minimum=None # Select objects with value less than this config.processCcd.calibrate.photoCal.match.referenceSelection.colorLimits['r-i'].maximum=0.5 # Name of column with primary flux measurement config.processCcd.calibrate.photoCal.match.referenceSelection.colorLimits['r-i'].primary='r_flux' # Name of column with secondary flux measurement config.processCcd.calibrate.photoCal.match.referenceSelection.colorLimits['r-i'].secondary='i_flux' # Fraction of candidates to reserve from fitting; none if <= 0 config.processCcd.calibrate.photoCal.reserve.fraction=0.0 # This number will be added to the exposure ID to set the random seed for reserving candidates config.processCcd.calibrate.photoCal.reserve.seed=1 # Name of the source instFlux field to use. The associated flag field # ('_flags') will be implicitly included in badFlags. config.processCcd.calibrate.photoCal.fluxField='slot_CalibFlux_instFlux' # Apply photometric color terms to reference stars? One of: # None: apply if colorterms and photoCatName are not None; # fail if color term data is not available for the specified ref catalog and filter. # True: always apply colorterms; fail if color term data is not available for the # specified reference catalog and filter. # False: do not apply. config.processCcd.calibrate.photoCal.applyColorTerms=True # maximum sigma to use when clipping config.processCcd.calibrate.photoCal.sigmaMax=0.25 # clip at nSigma config.processCcd.calibrate.photoCal.nSigma=3.0 # use median instead of mean to compute zeropoint config.processCcd.calibrate.photoCal.useMedian=True # number of iterations config.processCcd.calibrate.photoCal.nIter=20 config.processCcd.calibrate.photoCal.colorterms.data={} config.processCcd.calibrate.photoCal.colorterms.data['hsc*']=lsst.pipe.tasks.colorterms.ColortermDict() config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data={} config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['g']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['g'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['g'].secondary='g' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['g'].c0=0.0 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['g'].c1=0.0 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['g'].c2=0.0 config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['r']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['r'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['r'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['r'].c0=0.0 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['r'].c1=0.0 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['r'].c2=0.0 config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['i']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['i'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['i'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['i'].c0=0.0 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['i'].c1=0.0 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['i'].c2=0.0 config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['z']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['z'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['z'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['z'].c0=0.0 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['z'].c1=0.0 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['z'].c2=0.0 config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['y']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['y'].primary='y' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['y'].secondary='y' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['y'].c0=0.0 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['y'].c1=0.0 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['y'].c2=0.0 config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-G']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-G'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-G'].secondary='g' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-G'].c0=0.0 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-G'].c1=0.0 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-G'].c2=0.0 config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-R']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-R'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-R'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-R'].c0=0.0 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-R'].c1=0.0 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-R'].c2=0.0 config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-I']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-I'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-I'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-I'].c0=0.0 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-I'].c1=0.0 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-I'].c2=0.0 config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-Z']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-Z'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-Z'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-Z'].c0=0.0 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-Z'].c1=0.0 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-Z'].c2=0.0 config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-Y']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-Y'].primary='y' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-Y'].secondary='y' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-Y'].c0=0.0 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-Y'].c1=0.0 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['hsc*'].data['HSC-Y'].c2=0.0 config.processCcd.calibrate.photoCal.colorterms.data['sdss*']=lsst.pipe.tasks.colorterms.ColortermDict() config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data={} config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['g']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['g'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['g'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['g'].c0=-0.009777 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['g'].c1=-0.077235 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['g'].c2=-0.013121 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['r']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['r'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['r'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['r'].c0=-0.000711 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['r'].c1=-0.006847 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['r'].c2=-0.03511 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['r2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['r2'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['r2'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['r2'].c0=-0.000632 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['r2'].c1=-0.011237 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['r2'].c2=-0.038169 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['i']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['i'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['i'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['i'].c0=0.000357 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['i'].c1=-0.15329 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['i'].c2=-0.009277 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['i2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['i2'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['i2'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['i2'].c0=0.001278 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['i2'].c1=-0.213569 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['i2'].c2=-0.012523 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['z']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['z'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['z'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['z'].c0=-0.005761 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['z'].c1=0.001317 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['z'].c2=-0.035334 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['y']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['y'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['y'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['y'].c0=0.003386 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['y'].c1=0.428877 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['y'].c2=0.076738 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['I945']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['I945'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['I945'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['I945'].c0=0.008117 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['I945'].c1=0.234991 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['I945'].c2=-0.042255 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N387']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N387'].primary='u' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N387'].secondary='g' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N387'].c0=-0.709229 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N387'].c1=0.310719 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N387'].c2=-0.044107 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N400']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N400'].primary='u' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N400'].secondary='g' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N400'].c0=-0.396264 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N400'].c1=-0.395133 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N400'].c2=0.038688 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N468']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N468'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N468'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N468'].c0=-0.059159 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N468'].c1=-0.030881 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N468'].c2=0.015356 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N515']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N515'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N515'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N515'].c0=-0.03251 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N515'].c1=-0.35444 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N515'].c2=0.100832 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N527']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N527'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N527'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N527'].c0=-0.0294 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N527'].c1=-0.453037 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N527'].c2=0.020922 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N656']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N656'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N656'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N656'].c0=0.037014 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N656'].c1=-0.538947 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N656'].c2=0.052489 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N718']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N718'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N718'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N718'].c0=-0.014742 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N718'].c1=-0.787571 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N718'].c2=0.237867 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N816']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N816'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N816'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N816'].c0=0.012676 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N816'].c1=-0.660317 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N816'].c2=0.055566 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N921']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N921'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N921'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N921'].c0=0.004619 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N921'].c1=0.093019 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N921'].c2=-0.126377 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N926']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N926'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N926'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N926'].c0=0.009369 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N926'].c1=0.130261 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N926'].c2=-0.119282 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N973']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N973'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N973'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N973'].c0=-0.005805 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N973'].c1=0.220412 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N973'].c2=-0.249072 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N1010']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N1010'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N1010'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N1010'].c0=0.015296 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N1010'].c1=0.794152 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['N1010'].c2=0.465309 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-G']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-G'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-G'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-G'].c0=-0.009777 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-G'].c1=-0.077235 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-G'].c2=-0.013121 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-R']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-R'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-R'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-R'].c0=-0.000711 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-R'].c1=-0.006847 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-R'].c2=-0.03511 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-R2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-R2'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-R2'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-R2'].c0=-0.000632 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-R2'].c1=-0.011237 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-R2'].c2=-0.038169 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-I']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-I'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-I'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-I'].c0=0.000357 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-I'].c1=-0.15329 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-I'].c2=-0.009277 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-I2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-I2'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-I2'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-I2'].c0=0.001278 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-I2'].c1=-0.213569 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-I2'].c2=-0.012523 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-Z']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-Z'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-Z'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-Z'].c0=-0.005761 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-Z'].c1=0.001317 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-Z'].c2=-0.035334 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-y']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-y'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-y'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-y'].c0=0.003386 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-y'].c1=0.428877 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['HSC-y'].c2=0.076738 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['IB0945']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['IB0945'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['IB0945'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['IB0945'].c0=0.008117 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['IB0945'].c1=0.234991 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['IB0945'].c2=-0.042255 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0387']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0387'].primary='u' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0387'].secondary='g' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0387'].c0=-0.709229 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0387'].c1=0.310719 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0387'].c2=-0.044107 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0400']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0400'].primary='u' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0400'].secondary='g' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0400'].c0=-0.396264 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0400'].c1=-0.395133 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0400'].c2=0.038688 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0468']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0468'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0468'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0468'].c0=-0.059159 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0468'].c1=-0.030881 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0468'].c2=0.015356 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0515']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0515'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0515'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0515'].c0=-0.03251 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0515'].c1=-0.35444 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0515'].c2=0.100832 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0527']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0527'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0527'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0527'].c0=-0.0294 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0527'].c1=-0.453037 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0527'].c2=0.020922 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0656']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0656'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0656'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0656'].c0=0.037014 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0656'].c1=-0.538947 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0656'].c2=0.052489 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0718']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0718'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0718'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0718'].c0=-0.014742 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0718'].c1=-0.787571 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0718'].c2=0.237867 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0816']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0816'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0816'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0816'].c0=0.012676 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0816'].c1=-0.660317 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0816'].c2=0.055566 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0921']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0921'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0921'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0921'].c0=0.004619 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0921'].c1=0.093019 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0921'].c2=-0.126377 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0926']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0926'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0926'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0926'].c0=0.009369 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0926'].c1=0.130261 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0926'].c2=-0.119282 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0973']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0973'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0973'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0973'].c0=-0.005805 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0973'].c1=0.220412 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB0973'].c2=-0.249072 config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB01010']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB01010'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB01010'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB01010'].c0=0.015296 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB01010'].c1=0.794152 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['sdss*'].data['NB01010'].c2=0.465309 config.processCcd.calibrate.photoCal.colorterms.data['ps1*']=lsst.pipe.tasks.colorterms.ColortermDict() config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data={} config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['g']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['g'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['g'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['g'].c0=0.005728 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['g'].c1=0.061749 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['g'].c2=-0.001125 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['r']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['r'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['r'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['r'].c0=-0.000144 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['r'].c1=0.001369 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['r'].c2=-0.00838 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['r2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['r2'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['r2'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['r2'].c0=-3.2e-05 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['r2'].c1=-0.002866 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['r2'].c2=-0.012638 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['i']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['i'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['i'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['i'].c0=0.000643 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['i'].c1=-0.130078 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['i'].c2=-0.006855 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['i2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['i2'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['i2'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['i2'].c0=0.001625 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['i2'].c1=-0.200406 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['i2'].c2=-0.013666 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['z']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['z'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['z'].secondary='y' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['z'].c0=-0.005362 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['z'].c1=-0.221551 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['z'].c2=-0.308279 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['y']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['y'].primary='y' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['y'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['y'].c0=-0.002055 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['y'].c1=0.20968 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['y'].c2=0.227296 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['I945']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['I945'].primary='y' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['I945'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['I945'].c0=0.005275 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['I945'].c1=-0.194285 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['I945'].c2=-0.125424 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N387']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N387'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N387'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N387'].c0=0.427879 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N387'].c1=1.869068 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N387'].c2=0.54058 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N400']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N400'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N400'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N400'].c0=0.176542 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N400'].c1=1.127055 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N400'].c2=0.505502 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N468']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N468'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N468'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N468'].c0=-0.04224 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N468'].c1=0.121756 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N468'].c2=0.027599 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N515']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N515'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N515'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N515'].c0=-0.021913 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N515'].c1=-0.253159 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N515'].c2=0.151553 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N527']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N527'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N527'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N527'].c0=-0.020641 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N527'].c1=-0.366167 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N527'].c2=0.038497 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N656']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N656'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N656'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N656'].c0=0.035655 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N656'].c1=-0.512046 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N656'].c2=0.042796 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N718']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N718'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N718'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N718'].c0=-0.016294 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N718'].c1=-0.233139 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N718'].c2=0.252505 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N816']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N816'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N816'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N816'].c0=0.013806 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N816'].c1=-0.717681 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N816'].c2=0.049289 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N921']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N921'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N921'].secondary='y' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N921'].c0=0.002039 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N921'].c1=-0.477412 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N921'].c2=-0.492151 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N926']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N926'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N926'].secondary='y' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N926'].c0=0.00523 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N926'].c1=-0.574448 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N926'].c2=-0.330899 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N973']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N973'].primary='y' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N973'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N973'].c0=-0.007775 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N973'].c1=-0.050972 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N973'].c2=-0.197278 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N1010']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N1010'].primary='y' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N1010'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N1010'].c0=0.003607 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N1010'].c1=0.865366 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['N1010'].c2=1.271817 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-G']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-G'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-G'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-G'].c0=0.005728 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-G'].c1=0.061749 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-G'].c2=-0.001125 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-R']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-R'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-R'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-R'].c0=-0.000144 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-R'].c1=0.001369 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-R'].c2=-0.00838 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-R2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-R2'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-R2'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-R2'].c0=-3.2e-05 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-R2'].c1=-0.002866 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-R2'].c2=-0.012638 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-I']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-I'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-I'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-I'].c0=0.000643 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-I'].c1=-0.130078 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-I'].c2=-0.006855 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-I2']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-I2'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-I2'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-I2'].c0=0.001625 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-I2'].c1=-0.200406 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-I2'].c2=-0.013666 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-Z']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-Z'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-Z'].secondary='y' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-Z'].c0=-0.005362 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-Z'].c1=-0.221551 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-Z'].c2=-0.308279 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-Y']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-Y'].primary='y' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-Y'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-Y'].c0=-0.002055 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-Y'].c1=0.20968 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['HSC-Y'].c2=0.227296 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['IB0945']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['IB0945'].primary='y' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['IB0945'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['IB0945'].c0=0.005275 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['IB0945'].c1=-0.194285 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['IB0945'].c2=-0.125424 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0387']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0387'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0387'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0387'].c0=0.427879 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0387'].c1=1.869068 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0387'].c2=0.54058 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0400']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0400'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0400'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0400'].c0=0.176542 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0400'].c1=1.127055 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0400'].c2=0.505502 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0468']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0468'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0468'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0468'].c0=-0.04224 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0468'].c1=0.121756 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0468'].c2=0.027599 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0515']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0515'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0515'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0515'].c0=-0.021913 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0515'].c1=-0.253159 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0515'].c2=0.151553 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0527']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0527'].primary='g' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0527'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0527'].c0=-0.020641 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0527'].c1=-0.366167 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0527'].c2=0.038497 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0656']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0656'].primary='r' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0656'].secondary='i' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0656'].c0=0.035655 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0656'].c1=-0.512046 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0656'].c2=0.042796 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0718']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0718'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0718'].secondary='r' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0718'].c0=-0.016294 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0718'].c1=-0.233139 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0718'].c2=0.252505 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0816']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0816'].primary='i' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0816'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0816'].c0=0.013806 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0816'].c1=-0.717681 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0816'].c2=0.049289 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0921']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0921'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0921'].secondary='y' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0921'].c0=0.002039 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0921'].c1=-0.477412 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0921'].c2=-0.492151 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0926']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0926'].primary='z' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0926'].secondary='y' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0926'].c0=0.00523 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0926'].c1=-0.574448 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0926'].c2=-0.330899 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0973']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0973'].primary='y' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0973'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0973'].c0=-0.007775 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0973'].c1=-0.050972 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB0973'].c2=-0.197278 config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB01010']=lsst.pipe.tasks.colorterms.Colorterm() # name of primary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB01010'].primary='y' # name of secondary filter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB01010'].secondary='z' # Constant parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB01010'].c0=0.003607 # First-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB01010'].c1=0.865366 # Second-order parameter config.processCcd.calibrate.photoCal.colorterms.data['ps1*'].data['NB01010'].c2=1.271817 # Name of photometric reference catalog; used to select a color term dict in colorterms. see also applyColorTerms config.processCcd.calibrate.photoCal.photoCatName='ps1_pv3_3pi_20170110' # Additional magnitude uncertainty to be added in quadrature with measurement errors. config.processCcd.calibrate.photoCal.magErrFloor=0.0 # Fields to copy from the icSource catalog to the output catalog for matching sources Any missing fields will trigger a RuntimeError exception. Ignored if icSourceCat is not provided. config.processCcd.calibrate.icSourceFieldsToCopy=['calib_psf_candidate', 'calib_psf_used', 'calib_psf_reserved'] # Match radius for matching icSourceCat objects to sourceCat objects (pixels) config.processCcd.calibrate.matchRadiusPix=3.0 # Strictness of Astropy unit compatibility check, can be 'raise', 'warn' or 'silent' config.processCcd.calibrate.checkUnitsParseStrict='raise' # detected sources with fewer than the specified number of pixels will be ignored config.processCcd.calibrate.detection.minPixels=1 # Pixels should be grown as isotropically as possible (slower) config.processCcd.calibrate.detection.isotropicGrow=True # Grow all footprints at the same time? This allows disconnected footprints to merge. config.processCcd.calibrate.detection.combinedGrow=True # Grow detections by nSigmaToGrow * [PSF RMS width]; if 0 then do not grow config.processCcd.calibrate.detection.nSigmaToGrow=2.4 # Grow detections to set the image mask bits, but return the original (not-grown) footprints config.processCcd.calibrate.detection.returnOriginalFootprints=False # Threshold for footprints; exact meaning and units depend on thresholdType. config.processCcd.calibrate.detection.thresholdValue=5.0 # Include threshold relative to thresholdValue config.processCcd.calibrate.detection.includeThresholdMultiplier=1.0 # specifies the desired flavor of Threshold config.processCcd.calibrate.detection.thresholdType='stdev' # specifies whether to detect positive, or negative sources, or both config.processCcd.calibrate.detection.thresholdPolarity='positive' # Fiddle factor to add to the background; debugging only config.processCcd.calibrate.detection.adjustBackground=0.0 # Estimate the background again after final source detection? config.processCcd.calibrate.detection.reEstimateBackground=True # type of statistic to use for grid points config.processCcd.calibrate.detection.background.statisticsProperty='MEANCLIP' # behaviour if there are too few points in grid for requested interpolation style config.processCcd.calibrate.detection.background.undersampleStyle='REDUCE_INTERP_ORDER' # how large a region of the sky should be used for each background point config.processCcd.calibrate.detection.background.binSize=128 # Sky region size to be used for each background point in X direction. If 0, the binSize config is used. config.processCcd.calibrate.detection.background.binSizeX=0 # Sky region size to be used for each background point in Y direction. If 0, the binSize config is used. config.processCcd.calibrate.detection.background.binSizeY=0 # how to interpolate the background values. This maps to an enum; see afw::math::Background config.processCcd.calibrate.detection.background.algorithm='AKIMA_SPLINE' # Names of mask planes to ignore while estimating the background config.processCcd.calibrate.detection.background.ignoredPixelMask=['BAD', 'EDGE', 'DETECTED', 'DETECTED_NEGATIVE', 'NO_DATA'] # Ignore NaNs when estimating the background config.processCcd.calibrate.detection.background.isNanSafe=False # Use Approximate (Chebyshev) to model background. config.processCcd.calibrate.detection.background.useApprox=True # Approximation order in X for background Chebyshev (valid only with useApprox=True) config.processCcd.calibrate.detection.background.approxOrderX=6 # Approximation order in Y for background Chebyshev (valid only with useApprox=True) config.processCcd.calibrate.detection.background.approxOrderY=-1 # Use inverse variance weighting in calculation (valid only with useApprox=True) config.processCcd.calibrate.detection.background.weighting=True # type of statistic to use for grid points config.processCcd.calibrate.detection.tempLocalBackground.statisticsProperty='MEANCLIP' # behaviour if there are too few points in grid for requested interpolation style config.processCcd.calibrate.detection.tempLocalBackground.undersampleStyle='REDUCE_INTERP_ORDER' # how large a region of the sky should be used for each background point config.processCcd.calibrate.detection.tempLocalBackground.binSize=64 # Sky region size to be used for each background point in X direction. If 0, the binSize config is used. config.processCcd.calibrate.detection.tempLocalBackground.binSizeX=0 # Sky region size to be used for each background point in Y direction. If 0, the binSize config is used. config.processCcd.calibrate.detection.tempLocalBackground.binSizeY=0 # how to interpolate the background values. This maps to an enum; see afw::math::Background config.processCcd.calibrate.detection.tempLocalBackground.algorithm='AKIMA_SPLINE' # Names of mask planes to ignore while estimating the background config.processCcd.calibrate.detection.tempLocalBackground.ignoredPixelMask=['BAD', 'EDGE', 'DETECTED', 'DETECTED_NEGATIVE', 'NO_DATA'] # Ignore NaNs when estimating the background config.processCcd.calibrate.detection.tempLocalBackground.isNanSafe=False # Use Approximate (Chebyshev) to model background. config.processCcd.calibrate.detection.tempLocalBackground.useApprox=False # Approximation order in X for background Chebyshev (valid only with useApprox=True) config.processCcd.calibrate.detection.tempLocalBackground.approxOrderX=6 # Approximation order in Y for background Chebyshev (valid only with useApprox=True) config.processCcd.calibrate.detection.tempLocalBackground.approxOrderY=-1 # Use inverse variance weighting in calculation (valid only with useApprox=True) config.processCcd.calibrate.detection.tempLocalBackground.weighting=True # Enable temporary local background subtraction? (see tempLocalBackground) config.processCcd.calibrate.detection.doTempLocalBackground=False # type of statistic to use for grid points config.processCcd.calibrate.detection.tempWideBackground.statisticsProperty='MEANCLIP' # behaviour if there are too few points in grid for requested interpolation style config.processCcd.calibrate.detection.tempWideBackground.undersampleStyle='REDUCE_INTERP_ORDER' # how large a region of the sky should be used for each background point config.processCcd.calibrate.detection.tempWideBackground.binSize=512 # Sky region size to be used for each background point in X direction. If 0, the binSize config is used. config.processCcd.calibrate.detection.tempWideBackground.binSizeX=0 # Sky region size to be used for each background point in Y direction. If 0, the binSize config is used. config.processCcd.calibrate.detection.tempWideBackground.binSizeY=0 # how to interpolate the background values. This maps to an enum; see afw::math::Background config.processCcd.calibrate.detection.tempWideBackground.algorithm='AKIMA_SPLINE' # Names of mask planes to ignore while estimating the background config.processCcd.calibrate.detection.tempWideBackground.ignoredPixelMask=['BAD', 'EDGE', 'NO_DATA'] # Ignore NaNs when estimating the background config.processCcd.calibrate.detection.tempWideBackground.isNanSafe=False # Use Approximate (Chebyshev) to model background. config.processCcd.calibrate.detection.tempWideBackground.useApprox=False # Approximation order in X for background Chebyshev (valid only with useApprox=True) config.processCcd.calibrate.detection.tempWideBackground.approxOrderX=6 # Approximation order in Y for background Chebyshev (valid only with useApprox=True) config.processCcd.calibrate.detection.tempWideBackground.approxOrderY=-1 # Use inverse variance weighting in calculation (valid only with useApprox=True) config.processCcd.calibrate.detection.tempWideBackground.weighting=True # Do temporary wide (large-scale) background subtraction before footprint detection? config.processCcd.calibrate.detection.doTempWideBackground=False # The maximum number of peaks in a Footprint before trying to replace its peaks using the temporary local background config.processCcd.calibrate.detection.nPeaksMaxSimple=1 # Multiple of PSF RMS size to use for convolution kernel bounding box size; note that this is not a half-size. The size will be rounded up to the nearest odd integer config.processCcd.calibrate.detection.nSigmaForKernel=7.0 # Mask planes to ignore when calculating statistics of image (for thresholdType=stdev) config.processCcd.calibrate.detection.statsMask=['BAD', 'SAT', 'EDGE', 'NO_DATA'] # Run deblender input exposure config.processCcd.calibrate.doDeblend=True # What to do when a peak to be deblended is close to the edge of the image config.processCcd.calibrate.deblend.edgeHandling='ramp' # When the deblender should attribute stray flux to point sources config.processCcd.calibrate.deblend.strayFluxToPointSources='necessary' # Assign stray flux (not claimed by any child in the deblender) to deblend children. config.processCcd.calibrate.deblend.assignStrayFlux=True # How to split flux among peaks config.processCcd.calibrate.deblend.strayFluxRule='trim' # When splitting stray flux, clip fractions below this value to zero. config.processCcd.calibrate.deblend.clipStrayFluxFraction=0.001 # Chi-squared per DOF cut for deciding a source is a PSF during deblending (un-shifted PSF model) config.processCcd.calibrate.deblend.psfChisq1=1.5 # Chi-squared per DOF cut for deciding a source is PSF during deblending (shifted PSF model) config.processCcd.calibrate.deblend.psfChisq2=1.5 # Chi-squared per DOF cut for deciding a source is a PSF during deblending (shifted PSF model #2) config.processCcd.calibrate.deblend.psfChisq2b=1.5 # Only deblend the brightest maxNumberOfPeaks peaks in the parent (<= 0: unlimited) config.processCcd.calibrate.deblend.maxNumberOfPeaks=0 # Maximum area for footprints before they are ignored as large; non-positive means no threshold applied config.processCcd.calibrate.deblend.maxFootprintArea=10000 # Maximum linear dimension for footprints before they are ignored as large; non-positive means no threshold applied config.processCcd.calibrate.deblend.maxFootprintSize=0 # Minimum axis ratio for footprints before they are ignored as large; non-positive means no threshold applied config.processCcd.calibrate.deblend.minFootprintAxisRatio=0.0 # Mask name for footprints not deblended, or None config.processCcd.calibrate.deblend.notDeblendedMask='NOT_DEBLENDED' # Footprints smaller in width or height than this value will be ignored; minimum of 2 due to PSF gradient calculation. config.processCcd.calibrate.deblend.tinyFootprintSize=2 # Guarantee that all peaks produce a child source. config.processCcd.calibrate.deblend.propagateAllPeaks=False # If True, catch exceptions thrown by the deblender, log them, and set a flag on the parent, instead of letting them propagate up config.processCcd.calibrate.deblend.catchFailures=False # Mask planes to ignore when performing statistics config.processCcd.calibrate.deblend.maskPlanes=['SAT', 'INTRP', 'NO_DATA'] # Mask planes with the corresponding limit on the fraction of masked pixels. Sources violating this limit will not be deblended. config.processCcd.calibrate.deblend.maskLimits={'NO_DATA': 0.25} # If true, a least-squares fit of the templates will be done to the full image. The templates will be re-weighted based on this fit. config.processCcd.calibrate.deblend.weightTemplates=False # Try to remove similar templates? config.processCcd.calibrate.deblend.removeDegenerateTemplates=False # If the dot product between two templates is larger than this value, we consider them to be describing the same object (i.e. they are degenerate). If one of the objects has been labeled as a PSF it will be removed, otherwise the template with the lowest value will be removed. config.processCcd.calibrate.deblend.maxTempDotProd=0.5 # Apply a smoothing filter to all of the template images config.processCcd.calibrate.deblend.medianSmoothTemplate=True # Generate sky sources? config.processCcd.calibrate.doSkySources=True # Avoid pixels masked with these mask planes config.processCcd.calibrate.skySources.avoidMask=['DETECTED', 'DETECTED_NEGATIVE', 'BAD', 'NO_DATA'] # Number of pixels to grow the masked pixels when adding sky objects config.processCcd.calibrate.skySources.growMask=0 # Radius, in pixels, of sky objects config.processCcd.calibrate.skySources.sourceRadius=8.0 # Try to add this many sky objects config.processCcd.calibrate.skySources.nSources=100 # Maximum number of trial sky object positions # (default: nSkySources*nTrialSkySourcesMultiplier) config.processCcd.calibrate.skySources.nTrialSources=None # Set nTrialSkySources to # nSkySources*nTrialSkySourcesMultiplier # if nTrialSkySources is None config.processCcd.calibrate.skySources.nTrialSourcesMultiplier=5 # the name of the centroiding algorithm used to set source x,y config.processCcd.calibrate.measurement.slots.centroid='base_SdssCentroid' # the name of the algorithm used to set source moments parameters config.processCcd.calibrate.measurement.slots.shape='ext_shapeHSM_HsmSourceMoments' # the name of the algorithm used to set PSF moments parameters config.processCcd.calibrate.measurement.slots.psfShape='ext_shapeHSM_HsmPsfMoments' # the name of the algorithm used to set the source aperture instFlux slot config.processCcd.calibrate.measurement.slots.apFlux='base_CircularApertureFlux_12_0' # the name of the algorithm used to set the source model instFlux slot config.processCcd.calibrate.measurement.slots.modelFlux='base_GaussianFlux' # the name of the algorithm used to set the source psf instFlux slot config.processCcd.calibrate.measurement.slots.psfFlux='base_PsfFlux' # the name of the algorithm used to set the source Gaussian instFlux slot config.processCcd.calibrate.measurement.slots.gaussianFlux='base_GaussianFlux' # the name of the instFlux measurement algorithm used for calibration config.processCcd.calibrate.measurement.slots.calibFlux='base_CircularApertureFlux_12_0' # When measuring, replace other detected footprints with noise? config.processCcd.calibrate.measurement.doReplaceWithNoise=True # How to choose mean and variance of the Gaussian noise we generate? config.processCcd.calibrate.measurement.noiseReplacer.noiseSource='measure' # Add ann offset to the generated noise. config.processCcd.calibrate.measurement.noiseReplacer.noiseOffset=0.0 # The seed multiplier value to use for random number generation: # >= 1: set the seed deterministically based on exposureId # 0: fall back to the afw.math.Random default constructor (which uses a seed value of 1) config.processCcd.calibrate.measurement.noiseReplacer.noiseSeedMultiplier=1 # Prefix to give undeblended plugins config.processCcd.calibrate.measurement.undeblendedPrefix='undeblended_' # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_PsfFlux'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.calibrate.measurement.plugins['base_PsfFlux'].badMaskPlanes=[] # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_PeakLikelihoodFlux'].doMeasure=True # Name of warping kernel (e.g. "lanczos4") used to compute the peak config.processCcd.calibrate.measurement.plugins['base_PeakLikelihoodFlux'].warpingKernelName='lanczos4' # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_GaussianFlux'].doMeasure=True # FIXME! NEVER DOCUMENTED! config.processCcd.calibrate.measurement.plugins['base_GaussianFlux'].background=0.0 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_NaiveCentroid'].doMeasure=True # Value to subtract from the image pixel values config.processCcd.calibrate.measurement.plugins['base_NaiveCentroid'].background=0.0 # Do check that the centroid is contained in footprint. config.processCcd.calibrate.measurement.plugins['base_NaiveCentroid'].doFootprintCheck=True # If set > 0, Centroid Check also checks distance from footprint peak. config.processCcd.calibrate.measurement.plugins['base_NaiveCentroid'].maxDistToPeak=-1.0 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_SdssCentroid'].doMeasure=True # maximum allowed binning config.processCcd.calibrate.measurement.plugins['base_SdssCentroid'].binmax=16 # Do check that the centroid is contained in footprint. config.processCcd.calibrate.measurement.plugins['base_SdssCentroid'].doFootprintCheck=True # If set > 0, Centroid Check also checks distance from footprint peak. config.processCcd.calibrate.measurement.plugins['base_SdssCentroid'].maxDistToPeak=-1.0 # if the peak's less than this insist on binning at least once config.processCcd.calibrate.measurement.plugins['base_SdssCentroid'].peakMin=-1.0 # fiddle factor for adjusting the binning config.processCcd.calibrate.measurement.plugins['base_SdssCentroid'].wfac=1.5 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_PixelFlags'].doMeasure=True # List of mask planes to be searched for which occur anywhere within a footprint. If any of the planes are found they will have a corresponding pixel flag set. config.processCcd.calibrate.measurement.plugins['base_PixelFlags'].masksFpAnywhere=[] # List of mask planes to be searched for which occur in the center of a footprint. If any of the planes are found they will have a corresponding pixel flag set. config.processCcd.calibrate.measurement.plugins['base_PixelFlags'].masksFpCenter=[] # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_SdssShape'].doMeasure=True # Additional value to add to background config.processCcd.calibrate.measurement.plugins['base_SdssShape'].background=0.0 # Whether to also compute the shape of the PSF model config.processCcd.calibrate.measurement.plugins['base_SdssShape'].doMeasurePsf=True # Maximum number of iterations config.processCcd.calibrate.measurement.plugins['base_SdssShape'].maxIter=100 # Maximum centroid shift, limited to 2-10 config.processCcd.calibrate.measurement.plugins['base_SdssShape'].maxShift=0.0 # Convergence tolerance for e1,e2 config.processCcd.calibrate.measurement.plugins['base_SdssShape'].tol1=9.999999747378752e-06 # Convergence tolerance for FWHM config.processCcd.calibrate.measurement.plugins['base_SdssShape'].tol2=9.999999747378752e-05 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_ScaledApertureFlux'].doMeasure=True # Scaling factor of PSF FWHM for aperture radius. config.processCcd.calibrate.measurement.plugins['base_ScaledApertureFlux'].scale=3.14 # Warping kernel used to shift Sinc photometry coefficients to different center positions config.processCcd.calibrate.measurement.plugins['base_ScaledApertureFlux'].shiftKernel='lanczos5' # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_CircularApertureFlux'].doMeasure=True # Maximum radius (in pixels) for which the sinc algorithm should be used instead of the faster naive algorithm. For elliptical apertures, this is the minor axis radius. config.processCcd.calibrate.measurement.plugins['base_CircularApertureFlux'].maxSincRadius=12.0 # Radius (in pixels) of apertures. config.processCcd.calibrate.measurement.plugins['base_CircularApertureFlux'].radii=[3.0, 4.5, 6.0, 9.0, 12.0, 17.0, 25.0, 35.0, 50.0, 70.0] # Warping kernel used to shift Sinc photometry coefficients to different center positions config.processCcd.calibrate.measurement.plugins['base_CircularApertureFlux'].shiftKernel='lanczos5' # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_Blendedness'].doMeasure=True # Whether to compute quantities related to the Gaussian-weighted flux config.processCcd.calibrate.measurement.plugins['base_Blendedness'].doFlux=True # Whether to compute HeavyFootprint dot products (the old deblend.blendedness parameter) config.processCcd.calibrate.measurement.plugins['base_Blendedness'].doOld=True # Whether to compute quantities related to the Gaussian-weighted shape config.processCcd.calibrate.measurement.plugins['base_Blendedness'].doShape=True # Radius factor that sets the maximum extent of the weight function (and hence the flux measurements) config.processCcd.calibrate.measurement.plugins['base_Blendedness'].nSigmaWeightMax=3.0 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_LocalBackground'].doMeasure=True # Inner radius for background annulus as a multiple of the PSF sigma config.processCcd.calibrate.measurement.plugins['base_LocalBackground'].annulusInner=7.0 # Outer radius for background annulus as a multiple of the PSF sigma config.processCcd.calibrate.measurement.plugins['base_LocalBackground'].annulusOuter=15.0 # Mask planes that indicate pixels that should be excluded from the measurement config.processCcd.calibrate.measurement.plugins['base_LocalBackground'].badMaskPlanes=['BAD', 'SAT', 'NO_DATA'] # Number of sigma-clipping iterations for background measurement config.processCcd.calibrate.measurement.plugins['base_LocalBackground'].bgIter=3 # Rejection threshold (in standard deviations) for background measurement config.processCcd.calibrate.measurement.plugins['base_LocalBackground'].bgRej=3.0 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_FPPosition'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_Jacobian'].doMeasure=True # Nominal pixel size (arcsec) config.processCcd.calibrate.measurement.plugins['base_Jacobian'].pixelScale=0.168 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_Variance'].doMeasure=True # Scale factor to apply to shape for aperture config.processCcd.calibrate.measurement.plugins['base_Variance'].scale=5.0 # Mask planes to ignore config.processCcd.calibrate.measurement.plugins['base_Variance'].mask=['DETECTED', 'DETECTED_NEGATIVE', 'BAD', 'SAT'] # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_InputCount'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_LocalPhotoCalib'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_LocalWcs'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_PeakCentroid'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['base_SkyCoord'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['subaru_FilterFraction'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].doMeasure=True # Shapelet order of inner expansion (0 == Gaussian) config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].innerOrder=2 # Don't allow the semi-major radius of any component to go above this fraction of the PSF image width config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].maxRadiusBoxFraction=0.4 # Don't allow the semi-minor radius of any component to drop below this value (pixels) config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].minRadius=1.0 # Don't allow the determinant radii of the two components to differ by less than this (pixels) config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].minRadiusDiff=0.5 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionSolverTolerance=1e-08 # Shapelet order of outer expansion (0 == Gaussian) config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].outerOrder=1 # Initial outer Gaussian peak height divided by inner Gaussian peak height config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].peakRatio=0.1 # Initial outer radius divided by inner radius config.processCcd.calibrate.measurement.plugins['modelfit_DoubleShapeletPsfApprox'].radiusRatio=2.0 config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models={} config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.radiusPriorSigma=0.5 config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.radiusPriorSigma=0.5 config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.order=2 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.order=1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.radiusPriorSigma=0.5 config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.order=4 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.order=4 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.radiusPriorSigma=0.5 # a sequence of model names indicating which models should be fit, and their order config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].sequence=['DoubleShapelet'] # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['modelfit_GeneralShapeletPsfApprox'].doMeasure=True # Whether to record the steps the optimizer takes (or just the number, if running as a plugin) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.doRecordHistory=True # Whether to record the time spent in this stage config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.doRecordTime=True # Softened core width for ellipticity distribution (conformal shear units). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.ellipticityCore=0.001 # Width of exponential ellipticity distribution (conformal shear units). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.ellipticitySigma=0.3 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusMinInner=-6.0 # Minimum ln(radius). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusMinOuter=-6.001 # Mean of the Student's T distribution used for ln(radius) at large radius, and the transition point between a flat distribution and the Student's T. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusMu=-1.0 # Number of degrees of freedom for the Student's T distribution on ln(radius). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusNu=50.0 # Width of the Student's T distribution in ln(radius). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusSigma=0.45 # Ellipticity magnitude (conformal shear units) at which the softened cutoff begins config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.ellipticityMaxInner=2.0 # Maximum ellipticity magnitude (conformal shear units) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.ellipticityMaxOuter=2.001 # ln(radius) at which the softened cutoff begins towards the maximum config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.logRadiusMaxInner=3.0 # Maximum ln(radius) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.logRadiusMaxOuter=3.001 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.logRadiusMinInner=-6.0 # The ratio P(logRadiusMinInner)/P(logRadiusMaxInner) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.logRadiusMinMaxRatio=1.0 # Minimum ln(radius) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.linearPriorConfig.logRadiusMinOuter=-6.001 # Maximum radius used in approximating profile with Gaussians (0=default for this profile) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.maxRadius=0 # Number of Gaussian used to approximate the profile config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.nComponents=8 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.optimizer.trustRegionSolverTolerance=1e-08 # Name of the Prior that defines the model to fit (a filename in $MEAS_MODELFIT_DIR/data, with no extension), if priorSource='FILE'. Ignored for forced fitting. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.priorName='' # One of 'FILE', 'LINEAR', 'EMPIRICAL', or 'NONE', indicating whether the prior should be loaded from disk, created from one of the nested prior config/control objects, or None config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.priorSource='EMPIRICAL' # Name of the shapelet.RadialProfile that defines the model to fit config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.profileName='luv' # Use per-pixel variances as weights in the nonlinear fit (the final linear fit for flux never uses per-pixel variances) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.usePixelWeights=False # Scale the likelihood by this factor to artificially reweight it w.r.t. the prior. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].dev.weightsMultiplier=1.0 # Whether to record the steps the optimizer takes (or just the number, if running as a plugin) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.doRecordHistory=True # Whether to record the time spent in this stage config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.doRecordTime=True # Softened core width for ellipticity distribution (conformal shear units). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.ellipticityCore=0.001 # Width of exponential ellipticity distribution (conformal shear units). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.ellipticitySigma=0.3 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusMinInner=-6.0 # Minimum ln(radius). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusMinOuter=-6.001 # Mean of the Student's T distribution used for ln(radius) at large radius, and the transition point between a flat distribution and the Student's T. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusMu=-1.0 # Number of degrees of freedom for the Student's T distribution on ln(radius). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusNu=50.0 # Width of the Student's T distribution in ln(radius). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusSigma=0.45 # Ellipticity magnitude (conformal shear units) at which the softened cutoff begins config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.ellipticityMaxInner=2.0 # Maximum ellipticity magnitude (conformal shear units) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.ellipticityMaxOuter=2.001 # ln(radius) at which the softened cutoff begins towards the maximum config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.logRadiusMaxInner=3.0 # Maximum ln(radius) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.logRadiusMaxOuter=3.001 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.logRadiusMinInner=-6.0 # The ratio P(logRadiusMinInner)/P(logRadiusMaxInner) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.logRadiusMinMaxRatio=1.0 # Minimum ln(radius) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.linearPriorConfig.logRadiusMinOuter=-6.001 # Maximum radius used in approximating profile with Gaussians (0=default for this profile) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.maxRadius=0 # Number of Gaussian used to approximate the profile config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.nComponents=6 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.maxOuterIterations=250 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.optimizer.trustRegionSolverTolerance=1e-08 # Name of the Prior that defines the model to fit (a filename in $MEAS_MODELFIT_DIR/data, with no extension), if priorSource='FILE'. Ignored for forced fitting. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.priorName='' # One of 'FILE', 'LINEAR', 'EMPIRICAL', or 'NONE', indicating whether the prior should be loaded from disk, created from one of the nested prior config/control objects, or None config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.priorSource='EMPIRICAL' # Name of the shapelet.RadialProfile that defines the model to fit config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.profileName='lux' # Use per-pixel variances as weights in the nonlinear fit (the final linear fit for flux never uses per-pixel variances) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.usePixelWeights=False # Scale the likelihood by this factor to artificially reweight it w.r.t. the prior. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].exp.weightsMultiplier=1.0 # If the 2nd-moments shape used to initialize the fit failed, use the PSF moments multiplied by this. If <= 0.0, abort the fit early instead. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].fallbackInitialMomentsPsfFactor=1.5 # Whether to record the steps the optimizer takes (or just the number, if running as a plugin) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.doRecordHistory=True # Whether to record the time spent in this stage config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.doRecordTime=True # Softened core width for ellipticity distribution (conformal shear units). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.ellipticityCore=0.001 # Width of exponential ellipticity distribution (conformal shear units). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.ellipticitySigma=0.3 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusMinInner=-6.0 # Minimum ln(radius). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusMinOuter=-6.001 # Mean of the Student's T distribution used for ln(radius) at large radius, and the transition point between a flat distribution and the Student's T. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusMu=-1.0 # Number of degrees of freedom for the Student's T distribution on ln(radius). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusNu=50.0 # Width of the Student's T distribution in ln(radius). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusSigma=0.45 # Ellipticity magnitude (conformal shear units) at which the softened cutoff begins config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.ellipticityMaxInner=2.0 # Maximum ellipticity magnitude (conformal shear units) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.ellipticityMaxOuter=2.001 # ln(radius) at which the softened cutoff begins towards the maximum config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.logRadiusMaxInner=3.0 # Maximum ln(radius) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.logRadiusMaxOuter=3.001 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.logRadiusMinInner=-6.0 # The ratio P(logRadiusMinInner)/P(logRadiusMaxInner) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.logRadiusMinMaxRatio=1.0 # Minimum ln(radius) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.linearPriorConfig.logRadiusMinOuter=-6.001 # Maximum radius used in approximating profile with Gaussians (0=default for this profile) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.maxRadius=0 # Number of Gaussian used to approximate the profile config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.nComponents=3 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.gradientThreshold=0.001 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.minTrustRadiusThreshold=0.01 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.optimizer.trustRegionSolverTolerance=1e-08 # Name of the Prior that defines the model to fit (a filename in $MEAS_MODELFIT_DIR/data, with no extension), if priorSource='FILE'. Ignored for forced fitting. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.priorName='' # One of 'FILE', 'LINEAR', 'EMPIRICAL', or 'NONE', indicating whether the prior should be loaded from disk, created from one of the nested prior config/control objects, or None config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.priorSource='EMPIRICAL' # Name of the shapelet.RadialProfile that defines the model to fit config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.profileName='lux' # Use per-pixel variances as weights in the nonlinear fit (the final linear fit for flux never uses per-pixel variances) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.usePixelWeights=True # Scale the likelihood by this factor to artificially reweight it w.r.t. the prior. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].initial.weightsMultiplier=1.0 # Minimum initial radius in pixels (used to regularize initial moments-based PSF deconvolution) config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].minInitialRadius=0.1 # Field name prefix of the Shapelet PSF approximation used to convolve the galaxy model; must contain a set of fields matching the schema defined by shapelet.MultiShapeletFunctionKey. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].psfName='modelfit_DoubleShapeletPsfApprox' # Mask planes that indicate pixels that should be ignored in the fit. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].region.badMaskPlanes=['EDGE', 'SAT', 'BAD', 'NO_DATA'] # Abort if the fit region grows beyond this many pixels. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].region.maxArea=100000 # Maximum fraction of pixels that may be ignored due to masks; more than this and we don't even try. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].region.maxBadPixelFraction=0.1 # Use this multiple of the initial fit ellipse then grow by the PSF width to determine the maximum final fit region size. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].region.nFitRadiiMax=3.0 # Use this multiple of the initial fit ellipse then grow by the PSF width to determine the minimum final fit region size. config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].region.nFitRadiiMin=1.0 # Use this multiple of the Kron ellipse to set the fit region (for the final fit region, subject to the nFitRadiiMin and nFitRadiiMax constraints). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].region.nKronRadii=1.5 # Grow the initial fit ellipses by this factor before comparing with the Kron/Footprint region config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].region.nPsfSigmaGrow=2.0 # If the Kron radius is less than this multiple of the PSF width, ignore it and fall back to a PSF-oriented ellipse scaled to match the area of the footprint or this radius (whichever is larger). config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].region.nPsfSigmaMin=4.0 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['modelfit_CModel'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmShapeBj'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmShapeBj'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmShapeBj'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmShapeLinear'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmShapeLinear'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmShapeLinear'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmShapeKsb'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmShapeKsb'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmShapeKsb'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmShapeRegauss'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmShapeRegauss'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmShapeRegauss'].deblendNChild='deblend_nChild' # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmSourceMoments'].doMeasure=True # Store measured flux? config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmSourceMoments'].addFlux=None # Mask planes used to reject bad pixels. config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmSourceMoments'].badMaskPlanes=None # Use round weight function? config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmSourceMoments'].roundMoments=None # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmSourceMomentsRound'].doMeasure=True # Store measured flux? config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmSourceMomentsRound'].addFlux=None # Mask planes used to reject bad pixels. config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmSourceMomentsRound'].badMaskPlanes=None # Use round weight function? config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmSourceMomentsRound'].roundMoments=None # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.plugins['ext_shapeHSM_HsmPsfMoments'].doMeasure=True config.processCcd.calibrate.measurement.plugins.names=['ext_shapeHSM_HsmPsfMoments', 'ext_shapeHSM_HsmShapeRegauss', 'base_LocalWcs', 'base_SkyCoord', 'base_Blendedness', 'base_FPPosition', 'base_PsfFlux', 'base_PixelFlags', 'base_CircularApertureFlux', 'ext_shapeHSM_HsmSourceMoments', 'base_LocalPhotoCalib', 'base_Variance', 'base_Jacobian', 'base_SdssShape', 'base_SdssCentroid', 'ext_shapeHSM_HsmSourceMomentsRound', 'base_NaiveCentroid', 'base_GaussianFlux', 'base_LocalBackground'] # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_PsfFlux'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.calibrate.measurement.undeblended['base_PsfFlux'].badMaskPlanes=[] # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_PeakLikelihoodFlux'].doMeasure=True # Name of warping kernel (e.g. "lanczos4") used to compute the peak config.processCcd.calibrate.measurement.undeblended['base_PeakLikelihoodFlux'].warpingKernelName='lanczos4' # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_GaussianFlux'].doMeasure=True # FIXME! NEVER DOCUMENTED! config.processCcd.calibrate.measurement.undeblended['base_GaussianFlux'].background=0.0 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_NaiveCentroid'].doMeasure=True # Value to subtract from the image pixel values config.processCcd.calibrate.measurement.undeblended['base_NaiveCentroid'].background=0.0 # Do check that the centroid is contained in footprint. config.processCcd.calibrate.measurement.undeblended['base_NaiveCentroid'].doFootprintCheck=True # If set > 0, Centroid Check also checks distance from footprint peak. config.processCcd.calibrate.measurement.undeblended['base_NaiveCentroid'].maxDistToPeak=-1.0 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_SdssCentroid'].doMeasure=True # maximum allowed binning config.processCcd.calibrate.measurement.undeblended['base_SdssCentroid'].binmax=16 # Do check that the centroid is contained in footprint. config.processCcd.calibrate.measurement.undeblended['base_SdssCentroid'].doFootprintCheck=True # If set > 0, Centroid Check also checks distance from footprint peak. config.processCcd.calibrate.measurement.undeblended['base_SdssCentroid'].maxDistToPeak=-1.0 # if the peak's less than this insist on binning at least once config.processCcd.calibrate.measurement.undeblended['base_SdssCentroid'].peakMin=-1.0 # fiddle factor for adjusting the binning config.processCcd.calibrate.measurement.undeblended['base_SdssCentroid'].wfac=1.5 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_PixelFlags'].doMeasure=True # List of mask planes to be searched for which occur anywhere within a footprint. If any of the planes are found they will have a corresponding pixel flag set. config.processCcd.calibrate.measurement.undeblended['base_PixelFlags'].masksFpAnywhere=[] # List of mask planes to be searched for which occur in the center of a footprint. If any of the planes are found they will have a corresponding pixel flag set. config.processCcd.calibrate.measurement.undeblended['base_PixelFlags'].masksFpCenter=[] # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_SdssShape'].doMeasure=True # Additional value to add to background config.processCcd.calibrate.measurement.undeblended['base_SdssShape'].background=0.0 # Whether to also compute the shape of the PSF model config.processCcd.calibrate.measurement.undeblended['base_SdssShape'].doMeasurePsf=True # Maximum number of iterations config.processCcd.calibrate.measurement.undeblended['base_SdssShape'].maxIter=100 # Maximum centroid shift, limited to 2-10 config.processCcd.calibrate.measurement.undeblended['base_SdssShape'].maxShift=0.0 # Convergence tolerance for e1,e2 config.processCcd.calibrate.measurement.undeblended['base_SdssShape'].tol1=9.999999747378752e-06 # Convergence tolerance for FWHM config.processCcd.calibrate.measurement.undeblended['base_SdssShape'].tol2=9.999999747378752e-05 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_ScaledApertureFlux'].doMeasure=True # Scaling factor of PSF FWHM for aperture radius. config.processCcd.calibrate.measurement.undeblended['base_ScaledApertureFlux'].scale=3.14 # Warping kernel used to shift Sinc photometry coefficients to different center positions config.processCcd.calibrate.measurement.undeblended['base_ScaledApertureFlux'].shiftKernel='lanczos5' # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_CircularApertureFlux'].doMeasure=True # Maximum radius (in pixels) for which the sinc algorithm should be used instead of the faster naive algorithm. For elliptical apertures, this is the minor axis radius. config.processCcd.calibrate.measurement.undeblended['base_CircularApertureFlux'].maxSincRadius=10.0 # Radius (in pixels) of apertures. config.processCcd.calibrate.measurement.undeblended['base_CircularApertureFlux'].radii=[3.0, 4.5, 6.0, 9.0, 12.0, 17.0, 25.0, 35.0, 50.0, 70.0] # Warping kernel used to shift Sinc photometry coefficients to different center positions config.processCcd.calibrate.measurement.undeblended['base_CircularApertureFlux'].shiftKernel='lanczos5' # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_Blendedness'].doMeasure=True # Whether to compute quantities related to the Gaussian-weighted flux config.processCcd.calibrate.measurement.undeblended['base_Blendedness'].doFlux=True # Whether to compute HeavyFootprint dot products (the old deblend.blendedness parameter) config.processCcd.calibrate.measurement.undeblended['base_Blendedness'].doOld=True # Whether to compute quantities related to the Gaussian-weighted shape config.processCcd.calibrate.measurement.undeblended['base_Blendedness'].doShape=True # Radius factor that sets the maximum extent of the weight function (and hence the flux measurements) config.processCcd.calibrate.measurement.undeblended['base_Blendedness'].nSigmaWeightMax=3.0 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_LocalBackground'].doMeasure=True # Inner radius for background annulus as a multiple of the PSF sigma config.processCcd.calibrate.measurement.undeblended['base_LocalBackground'].annulusInner=7.0 # Outer radius for background annulus as a multiple of the PSF sigma config.processCcd.calibrate.measurement.undeblended['base_LocalBackground'].annulusOuter=15.0 # Mask planes that indicate pixels that should be excluded from the measurement config.processCcd.calibrate.measurement.undeblended['base_LocalBackground'].badMaskPlanes=['BAD', 'SAT', 'NO_DATA'] # Number of sigma-clipping iterations for background measurement config.processCcd.calibrate.measurement.undeblended['base_LocalBackground'].bgIter=3 # Rejection threshold (in standard deviations) for background measurement config.processCcd.calibrate.measurement.undeblended['base_LocalBackground'].bgRej=3.0 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_FPPosition'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_Jacobian'].doMeasure=True # Nominal pixel size (arcsec) config.processCcd.calibrate.measurement.undeblended['base_Jacobian'].pixelScale=0.5 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_Variance'].doMeasure=True # Scale factor to apply to shape for aperture config.processCcd.calibrate.measurement.undeblended['base_Variance'].scale=5.0 # Mask planes to ignore config.processCcd.calibrate.measurement.undeblended['base_Variance'].mask=['DETECTED', 'DETECTED_NEGATIVE', 'BAD', 'SAT'] # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_InputCount'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_LocalPhotoCalib'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_LocalWcs'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_PeakCentroid'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['base_SkyCoord'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['subaru_FilterFraction'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].doMeasure=True # Shapelet order of inner expansion (0 == Gaussian) config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].innerOrder=2 # Don't allow the semi-major radius of any component to go above this fraction of the PSF image width config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].maxRadiusBoxFraction=0.4 # Don't allow the semi-minor radius of any component to drop below this value (pixels) config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].minRadius=1.0 # Don't allow the determinant radii of the two components to differ by less than this (pixels) config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].minRadiusDiff=0.5 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].optimizer.trustRegionSolverTolerance=1e-08 # Shapelet order of outer expansion (0 == Gaussian) config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].outerOrder=1 # Initial outer Gaussian peak height divided by inner Gaussian peak height config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].peakRatio=0.1 # Initial outer radius divided by inner radius config.processCcd.calibrate.measurement.undeblended['modelfit_DoubleShapeletPsfApprox'].radiusRatio=2.0 config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models={} config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['SingleGaussian'].wings.radiusPriorSigma=0.5 config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleGaussian'].wings.radiusPriorSigma=0.5 config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.order=-1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.order=2 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.order=1 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['DoubleShapelet'].wings.radiusPriorSigma=0.5 config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full']=lsst.meas.modelfit.GeneralPsfFitterConfig() # Default value for the noiseSigma parameter in GeneralPsfFitter.apply() config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].defaultNoiseSigma=0.001 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.radiusFactor=0.5 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].inner.radiusPriorSigma=0.5 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].optimizer.trustRegionSolverTolerance=1e-08 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.order=0 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.radiusFactor=4.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].outer.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.order=4 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.radiusFactor=1.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].primary.radiusPriorSigma=0.5 # sigma in an isotropic 2-d Gaussian prior on the conformal-shear ellipticity eta config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.ellipticityPriorSigma=0.3 # shapelet order for this component; negative to disable this component completely config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.order=4 # sigma (in pixels) in an isotropic 2-d Gaussian prior on the center of this shapelet component, relative to the center of the PSF image config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.positionPriorSigma=0.1 # Sets the fiducial radius of this component relative to the 'primary radius' of the PSF: either the second-moments radius of the PSF image (in an initial fit), or the radius of the primary component in a previous fit. Ignored if the previous fit included this component (as then we can just use that radius). config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.radiusFactor=2.0 # sigma in a Gaussian prior on ln(radius/fiducialRadius) config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].models['Full'].wings.radiusPriorSigma=0.5 # a sequence of model names indicating which models should be fit, and their order config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].sequence=['DoubleShapelet'] # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['modelfit_GeneralShapeletPsfApprox'].doMeasure=True # Whether to record the steps the optimizer takes (or just the number, if running as a plugin) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.doRecordHistory=True # Whether to record the time spent in this stage config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.doRecordTime=True # Softened core width for ellipticity distribution (conformal shear units). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.ellipticityCore=0.001 # Width of exponential ellipticity distribution (conformal shear units). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.ellipticitySigma=0.3 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusMinInner=-6.0 # Minimum ln(radius). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusMinOuter=-6.001 # Mean of the Student's T distribution used for ln(radius) at large radius, and the transition point between a flat distribution and the Student's T. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusMu=-1.0 # Number of degrees of freedom for the Student's T distribution on ln(radius). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusNu=50.0 # Width of the Student's T distribution in ln(radius). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.empiricalPriorConfig.logRadiusSigma=0.45 # Ellipticity magnitude (conformal shear units) at which the softened cutoff begins config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.ellipticityMaxInner=2.0 # Maximum ellipticity magnitude (conformal shear units) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.ellipticityMaxOuter=2.001 # ln(radius) at which the softened cutoff begins towards the maximum config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.logRadiusMaxInner=3.0 # Maximum ln(radius) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.logRadiusMaxOuter=3.001 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.logRadiusMinInner=-6.0 # The ratio P(logRadiusMinInner)/P(logRadiusMaxInner) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.logRadiusMinMaxRatio=1.0 # Minimum ln(radius) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.linearPriorConfig.logRadiusMinOuter=-6.001 # Maximum radius used in approximating profile with Gaussians (0=default for this profile) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.maxRadius=0 # Number of Gaussian used to approximate the profile config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.nComponents=8 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.optimizer.trustRegionSolverTolerance=1e-08 # Name of the Prior that defines the model to fit (a filename in $MEAS_MODELFIT_DIR/data, with no extension), if priorSource='FILE'. Ignored for forced fitting. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.priorName='' # One of 'FILE', 'LINEAR', 'EMPIRICAL', or 'NONE', indicating whether the prior should be loaded from disk, created from one of the nested prior config/control objects, or None config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.priorSource='EMPIRICAL' # Name of the shapelet.RadialProfile that defines the model to fit config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.profileName='luv' # Use per-pixel variances as weights in the nonlinear fit (the final linear fit for flux never uses per-pixel variances) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.usePixelWeights=False # Scale the likelihood by this factor to artificially reweight it w.r.t. the prior. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].dev.weightsMultiplier=1.0 # Whether to record the steps the optimizer takes (or just the number, if running as a plugin) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.doRecordHistory=True # Whether to record the time spent in this stage config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.doRecordTime=True # Softened core width for ellipticity distribution (conformal shear units). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.ellipticityCore=0.001 # Width of exponential ellipticity distribution (conformal shear units). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.ellipticitySigma=0.3 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusMinInner=-6.0 # Minimum ln(radius). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusMinOuter=-6.001 # Mean of the Student's T distribution used for ln(radius) at large radius, and the transition point between a flat distribution and the Student's T. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusMu=-1.0 # Number of degrees of freedom for the Student's T distribution on ln(radius). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusNu=50.0 # Width of the Student's T distribution in ln(radius). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.empiricalPriorConfig.logRadiusSigma=0.45 # Ellipticity magnitude (conformal shear units) at which the softened cutoff begins config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.ellipticityMaxInner=2.0 # Maximum ellipticity magnitude (conformal shear units) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.ellipticityMaxOuter=2.001 # ln(radius) at which the softened cutoff begins towards the maximum config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.logRadiusMaxInner=3.0 # Maximum ln(radius) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.logRadiusMaxOuter=3.001 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.logRadiusMinInner=-6.0 # The ratio P(logRadiusMinInner)/P(logRadiusMaxInner) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.logRadiusMinMaxRatio=1.0 # Minimum ln(radius) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.linearPriorConfig.logRadiusMinOuter=-6.001 # Maximum radius used in approximating profile with Gaussians (0=default for this profile) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.maxRadius=0 # Number of Gaussian used to approximate the profile config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.nComponents=6 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.gradientThreshold=1e-05 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.maxOuterIterations=250 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.minTrustRadiusThreshold=1e-05 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.optimizer.trustRegionSolverTolerance=1e-08 # Name of the Prior that defines the model to fit (a filename in $MEAS_MODELFIT_DIR/data, with no extension), if priorSource='FILE'. Ignored for forced fitting. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.priorName='' # One of 'FILE', 'LINEAR', 'EMPIRICAL', or 'NONE', indicating whether the prior should be loaded from disk, created from one of the nested prior config/control objects, or None config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.priorSource='EMPIRICAL' # Name of the shapelet.RadialProfile that defines the model to fit config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.profileName='lux' # Use per-pixel variances as weights in the nonlinear fit (the final linear fit for flux never uses per-pixel variances) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.usePixelWeights=False # Scale the likelihood by this factor to artificially reweight it w.r.t. the prior. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].exp.weightsMultiplier=1.0 # If the 2nd-moments shape used to initialize the fit failed, use the PSF moments multiplied by this. If <= 0.0, abort the fit early instead. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].fallbackInitialMomentsPsfFactor=1.5 # Whether to record the steps the optimizer takes (or just the number, if running as a plugin) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.doRecordHistory=True # Whether to record the time spent in this stage config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.doRecordTime=True # Softened core width for ellipticity distribution (conformal shear units). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.ellipticityCore=0.001 # Width of exponential ellipticity distribution (conformal shear units). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.ellipticitySigma=0.3 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusMinInner=-6.0 # Minimum ln(radius). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusMinOuter=-6.001 # Mean of the Student's T distribution used for ln(radius) at large radius, and the transition point between a flat distribution and the Student's T. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusMu=-1.0 # Number of degrees of freedom for the Student's T distribution on ln(radius). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusNu=50.0 # Width of the Student's T distribution in ln(radius). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.empiricalPriorConfig.logRadiusSigma=0.45 # Ellipticity magnitude (conformal shear units) at which the softened cutoff begins config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.ellipticityMaxInner=2.0 # Maximum ellipticity magnitude (conformal shear units) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.ellipticityMaxOuter=2.001 # ln(radius) at which the softened cutoff begins towards the maximum config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.logRadiusMaxInner=3.0 # Maximum ln(radius) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.logRadiusMaxOuter=3.001 # ln(radius) at which the softened cutoff begins towards the minimum config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.logRadiusMinInner=-6.0 # The ratio P(logRadiusMinInner)/P(logRadiusMaxInner) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.logRadiusMinMaxRatio=1.0 # Minimum ln(radius) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.linearPriorConfig.logRadiusMinOuter=-6.001 # Maximum radius used in approximating profile with Gaussians (0=default for this profile) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.maxRadius=0 # Number of Gaussian used to approximate the profile config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.nComponents=3 # whether to save all iterations for debugging purposes config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.doSaveIterations=False # If the maximum of the gradient falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.gradientThreshold=0.001 # maximum number of iterations (i.e. function evaluations and trust region subproblems) per step config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.maxInnerIterations=20 # maximum number of steps config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.maxOuterIterations=500 # If the trust radius falls below this threshold, consider the algorithm converged config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.minTrustRadiusThreshold=0.01 # If true, ignore the SR1 update term in the Hessian, resulting in a Levenberg-Marquardt-like method config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.noSR1Term=False # absolute step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.numDiffAbsStep=0.0 # relative step size used for numerical derivatives (added to other steps) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.numDiffRelStep=0.0 # step size (in units of trust radius) used for numerical derivatives (added to relative step) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.numDiffTrustRadiusStep=0.1 # Skip the SR1 update if |v||s| / (|v||s|) is less than this threshold config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.skipSR1UpdateThreshold=1e-08 # steps with reduction ratio greater than this are accepted config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.stepAcceptThreshold=0.0 # when increase the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionGrowFactor=2.0 # steps with reduction radio greater than this may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionGrowReductionRatio=0.75 # steps with length this fraction of the trust radius may increase the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionGrowStepFraction=0.8 # the initial trust region will be set to this value config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionInitialSize=1.0 # when reducing the trust region size, multiply the radius by this factor config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionShrinkFactor=0.3333333333333333 # steps with reduction radio less than this will decrease the trust radius config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionShrinkReductionRatio=0.25 # value passed as the tolerance to solveTrustRegion config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.optimizer.trustRegionSolverTolerance=1e-08 # Name of the Prior that defines the model to fit (a filename in $MEAS_MODELFIT_DIR/data, with no extension), if priorSource='FILE'. Ignored for forced fitting. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.priorName='' # One of 'FILE', 'LINEAR', 'EMPIRICAL', or 'NONE', indicating whether the prior should be loaded from disk, created from one of the nested prior config/control objects, or None config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.priorSource='EMPIRICAL' # Name of the shapelet.RadialProfile that defines the model to fit config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.profileName='lux' # Use per-pixel variances as weights in the nonlinear fit (the final linear fit for flux never uses per-pixel variances) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.usePixelWeights=True # Scale the likelihood by this factor to artificially reweight it w.r.t. the prior. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].initial.weightsMultiplier=1.0 # Minimum initial radius in pixels (used to regularize initial moments-based PSF deconvolution) config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].minInitialRadius=0.1 # Field name prefix of the Shapelet PSF approximation used to convolve the galaxy model; must contain a set of fields matching the schema defined by shapelet.MultiShapeletFunctionKey. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].psfName='modelfit_DoubleShapeletPsfApprox' # Mask planes that indicate pixels that should be ignored in the fit. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].region.badMaskPlanes=['EDGE', 'SAT', 'BAD', 'NO_DATA'] # Abort if the fit region grows beyond this many pixels. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].region.maxArea=100000 # Maximum fraction of pixels that may be ignored due to masks; more than this and we don't even try. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].region.maxBadPixelFraction=0.1 # Use this multiple of the initial fit ellipse then grow by the PSF width to determine the maximum final fit region size. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].region.nFitRadiiMax=3.0 # Use this multiple of the initial fit ellipse then grow by the PSF width to determine the minimum final fit region size. config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].region.nFitRadiiMin=1.0 # Use this multiple of the Kron ellipse to set the fit region (for the final fit region, subject to the nFitRadiiMin and nFitRadiiMax constraints). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].region.nKronRadii=1.5 # Grow the initial fit ellipses by this factor before comparing with the Kron/Footprint region config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].region.nPsfSigmaGrow=2.0 # If the Kron radius is less than this multiple of the PSF width, ignore it and fall back to a PSF-oriented ellipse scaled to match the area of the footprint or this radius (whichever is larger). config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].region.nPsfSigmaMin=4.0 # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['modelfit_CModel'].doMeasure=True # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmShapeBj'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmShapeBj'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmShapeBj'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmShapeLinear'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmShapeLinear'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmShapeLinear'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmShapeKsb'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmShapeKsb'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmShapeKsb'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmShapeRegauss'].doMeasure=True # Mask planes that indicate pixels that should be excluded from the fit config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmShapeRegauss'].badMaskPlanes=None # Field name for number of deblend children config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmShapeRegauss'].deblendNChild=None # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmSourceMoments'].doMeasure=True # Store measured flux? config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmSourceMoments'].addFlux=None # Mask planes used to reject bad pixels. config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmSourceMoments'].badMaskPlanes=None # Use round weight function? config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmSourceMoments'].roundMoments=None # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmSourceMomentsRound'].doMeasure=True # Store measured flux? config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmSourceMomentsRound'].addFlux=None # Mask planes used to reject bad pixels. config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmSourceMomentsRound'].badMaskPlanes=None # Use round weight function? config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmSourceMomentsRound'].roundMoments=None # whether to run this plugin in single-object mode config.processCcd.calibrate.measurement.undeblended['ext_shapeHSM_HsmPsfMoments'].doMeasure=True config.processCcd.calibrate.measurement.undeblended.names=[] # Name of field in schema with number of deblended children config.processCcd.calibrate.setPrimaryFlags.nChildKeyName='deblend_nChild' # Names of filters which should never be primary config.processCcd.calibrate.setPrimaryFlags.pseudoFilterList=['sky'] # Run subtask to apply aperture correction config.processCcd.calibrate.doApCorr=True # flux measurement algorithms in getApCorrNameSet() to ignore; if a name is listed that does not appear in getApCorrNameSet() then a warning is logged config.processCcd.calibrate.applyApCorr.ignoreList=[] # set the general failure flag for a flux when it cannot be aperture-corrected? config.processCcd.calibrate.applyApCorr.doFlagApCorrFailures=True # flux measurement algorithms to be aperture-corrected by reference to another algorithm; this is a mapping alg1:alg2, where 'alg1' is the algorithm being corrected, and 'alg2' is the algorithm supplying the corrections config.processCcd.calibrate.applyApCorr.proxies={} # critical ratio of model to psf flux config.processCcd.calibrate.catalogCalculation.plugins['base_ClassificationExtendedness'].fluxRatio=0.95 # correction factor for modelFlux error config.processCcd.calibrate.catalogCalculation.plugins['base_ClassificationExtendedness'].modelErrFactor=0.0 # correction factor for psfFlux error config.processCcd.calibrate.catalogCalculation.plugins['base_ClassificationExtendedness'].psfErrFactor=0.0 config.processCcd.calibrate.catalogCalculation.plugins.names=['base_ClassificationExtendedness', 'base_FootprintArea'] # Run fake sources injection task config.processCcd.calibrate.doInsertFakes=False # Mask plane to set on pixels affected by fakes. Will be added if not already present. config.processCcd.calibrate.insertFakes.maskPlaneName='FAKE' # Write the calexp? If fakes have been added then we do not want to write out the calexp as a normal calexp but as a fakes_calexp. config.processCcd.calibrate.doWriteExposure=True # name for connection icSourceSchema config.processCcd.calibrate.connections.icSourceSchema='icSrc_schema' # name for connection outputSchema config.processCcd.calibrate.connections.outputSchema='src_schema' # name for connection exposure config.processCcd.calibrate.connections.exposure='icExp' # name for connection background config.processCcd.calibrate.connections.background='icExpBackground' # name for connection icSourceCat config.processCcd.calibrate.connections.icSourceCat='icSrc' # name for connection astromRefCat config.processCcd.calibrate.connections.astromRefCat='ps1_pv3_3pi_20170110' # name for connection photoRefCat config.processCcd.calibrate.connections.photoRefCat='ps1_pv3_3pi_20170110' # name for connection outputExposure config.processCcd.calibrate.connections.outputExposure='calexp' # name for connection outputCat config.processCcd.calibrate.connections.outputCat='src' # name for connection outputBackground config.processCcd.calibrate.connections.outputBackground='calexpBackground' # name for connection matches config.processCcd.calibrate.connections.matches='srcMatch' # name for connection matchesDenormalized config.processCcd.calibrate.connections.matchesDenormalized='srcMatchFull' # Do postprocessing tasks to write parquet Source Table? config.doMakeSourceTable=True # ('Save the parquet version of the full src catalog?', 'Only respected if doMakeSourceTable') config.doSaveWideSourceTable=True # Add local photoCalib columns from the calexp.photoCalib? Should only set True if generating Source Tables from older src tables which do not already have local calib columns config.writeSourceTable.doApplyExternalPhotoCalib=False # Add local WCS columns from the calexp.wcs? Should only set True if generating Source Tables from older src tables which do not already have local calib columns config.writeSourceTable.doApplyExternalSkyWcs=False # Path to YAML file specifying functors to be computed config.transformSourceTable.functorFile='/opt/lsst/stack/miniconda3-py37_4.8.2-cb4e2dc/Linux64/obs_subaru/21.0.0+d401af1dcd/policy/Source.yaml' # List of CCDs to ignore when processing config.ignoreCcdList=[9, 104, 105, 106, 107, 108, 109, 110, 111] # DataId key corresponding to a single sensor config.ccdKey='ccd'