CompareWarpAssembleCoaddConfig¶

class lsst.pipe.tasks.assembleCoadd.CompareWarpAssembleCoaddConfig¶

Bases: lsst.pipe.tasks.assembleCoadd.AssembleCoaddConfig

Attributes Summary

`assembleStaticSkyModel`	Task to assemble an artifact-free, PSF-matched Coadd to serve as a naive/first-iteration model of the static sky.
`badMaskPlanes`	Mask planes that, if set, the associated pixel should not be included in the coaddTempExp.
`brightObjectMaskName`	Name of mask bit used for bright objects (`str`, default `'BRIGHT_OBJECT'`)
`calcErrorFromInputVariance`	Calculate coadd variance from input variance by stacking statistic.Passed to StatisticsControl.setCalcErrorFromInputVariance() (`bool`, default `True`)
`clipIter`	Number of iterations of outlier rejection; ignored if non-clipping statistic selected.
`coaddName`	Coadd name: typically one of deep or goodSeeing.
`coaddPsf`	Configuration for CoaddPsf (`CoaddPsfConfig`, default `<class 'lsst.meas.algorithms.coaddPsf.coaddPsfContinued.CoaddPsfConfig'>`)
`detect`	Detect outlier sources on difference between each psfMatched warp and static sky model (`ConfigurableInstance`, default `<class 'lsst.meas.algorithms.detection.SourceDetectionConfig'>`)
`detectTemplate`	Detect sources on static sky model.
`doApplyUberCal`	Apply meas_mosaic ubercal results to input calexps? (`bool`, default `False`)
`doAttachTransmissionCurve`	Attach a piecewise TransmissionCurve for the coadd? (requires all input Exposures to have TransmissionCurves).
`doInterp`	Interpolate over NaN pixels? Also extrapolate, if necessary, but the results are ugly.
`doMaskBrightObjects`	Set mask and flag bits for bright objects? (`bool`, default `False`)
`doNImage`	Create image of number of contributing exposures for each pixel (`bool`, default `False`)
`doPrefilterArtifacts`	Ignore artifact candidates that are mostly covered by the bad pixel mask, because they will be excluded anyway.
`doPreserveContainedBySource`	Rescue artifacts from clipping that completely lie within a footprint detectedon the PsfMatched Template Coadd.
`doPsfMatch`	Match to modelPsf? Deprecated.
`doScaleWarpVariance`	Rescale Warp variance plane using empirical noise? (`bool`, default `True`)
`doSigmaClip`	Perform sigma clipped outlier rejection with MEANCLIP statistic? (DEPRECATED) (`bool`, default `False`)
`doUsePsfMatchedPolygons`	Use ValidPolygons from shrunk Psf-Matched Calexps? Should be set to True by CompareWarp only.
`doWrite`	Persist coadd? (`bool`, default `True`)
`inputRecorder`	Subtask that helps fill CoaddInputs catalogs added to the final Exposure (`ConfigurableInstance`, default `<class 'lsst.pipe.tasks.coaddInputRecorder.CoaddInputRecorderConfig'>`)
`interpImage`	Task to interpolate (and extrapolate) over NaN pixels (`ConfigurableInstance`, default `<class 'lsst.pipe.tasks.interpImage.InterpImageConfig'>`)
`maskPropagationThresholds`	Threshold (in fractional weight) of rejection at which we propagate a mask plane to the coadd; that is, we set the mask bit on the coadd if the fraction the rejected frames would have contributed exceeds this value.
`matchingKernelSize`	Size in pixels of matching kernel.
`maxFractionEpochsHigh`	Fraction of local number of epochs (N) to use as effective maxNumEpochs for high N.
`maxFractionEpochsLow`	Fraction of local number of epochs (N) to use as effective maxNumEpochs for low N.
`maxNumEpochs`	Charactistic maximum local number of epochs/visits in which an artifact candidate can appear and still be masked.
`modelPsf`	Model Psf factory (`ConfigurableInstance`, default `<class 'lsst.meas.algorithms.gaussianPsfFactory.GaussianPsfFactory'>`)
`prefilterArtifactsMaskPlanes`	Prefilter artifact candidates that are mostly covered by these bad mask planes.
`prefilterArtifactsRatio`	Prefilter artifact candidates with less than this fraction overlapping good pixels (`float`, default `0.05`)
`removeMaskPlanes`	Mask planes to remove before coadding (`List`, default `['NOT_DEBLENDED']`)
`scaleWarpVariance`	Rescale variance on warps (`ConfigurableInstance`, default `<class 'lsst.pipe.tasks.scaleVariance.ScaleVarianceConfig'>`)
`scaleZeroPoint`	Task to adjust the photometric zero point of the coadd temp exposures (`ConfigurableInstance`, default `<class 'lsst.pipe.tasks.scaleZeroPoint.ScaleZeroPointConfig'>`)
`select`	Image selection subtask.
`sigmaClip`	Sigma for outlier rejection; ignored if non-clipping statistic selected.
`spatialThreshold`	Unitless fraction of pixels defining how much of the outlier region has to meet the temporal criteria.
`statistic`	Main stacking statistic for aggregating over the epochs.
`subregionSize`	Width, height of stack subregion size; make small enough that a full stack of images will fit into memory at once.
`warpType`	Warp name: one of ‘direct’ or ‘psfMatched’ (`str`, default `'direct'`)

Methods Summary

setDefaults() Derived config classes that must compute defaults rather than using the Field defaults should do so here.

Attributes Documentation

assembleStaticSkyModel¶: Task to assemble an artifact-free, PSF-matched Coadd to serve as a naive/first-iteration model of the static sky. (ConfigurableInstance, default <class 'lsst.pipe.tasks.assembleCoadd.AssembleCoaddConfig'>)

badMaskPlanes¶: Mask planes that, if set, the associated pixel should not be included in the coaddTempExp. (List, default ('NO_DATA',))

brightObjectMaskName¶: Name of mask bit used for bright objects (str, default 'BRIGHT_OBJECT')

calcErrorFromInputVariance¶: Calculate coadd variance from input variance by stacking statistic.Passed to StatisticsControl.setCalcErrorFromInputVariance() (bool, default True)

clipIter¶: Number of iterations of outlier rejection; ignored if non-clipping statistic selected. (int, default 2)

coaddName¶: Coadd name: typically one of deep or goodSeeing. (str, default 'deep')

coaddPsf¶: Configuration for CoaddPsf (CoaddPsfConfig, default <class 'lsst.meas.algorithms.coaddPsf.coaddPsfContinued.CoaddPsfConfig'>)

detect¶: Detect outlier sources on difference between each psfMatched warp and static sky model (ConfigurableInstance, default <class 'lsst.meas.algorithms.detection.SourceDetectionConfig'>)

detectTemplate¶: Detect sources on static sky model. Only used if doPreserveContainedBySource is True (ConfigurableInstance, default <class 'lsst.meas.algorithms.detection.SourceDetectionConfig'>)

doApplyUberCal¶: Apply meas_mosaic ubercal results to input calexps? (bool, default False)

doAttachTransmissionCurve¶: Attach a piecewise TransmissionCurve for the coadd? (requires all input Exposures to have TransmissionCurves). (bool, default False)

doInterp¶: Interpolate over NaN pixels? Also extrapolate, if necessary, but the results are ugly. (bool, default True)

doMaskBrightObjects¶: Set mask and flag bits for bright objects? (bool, default False)

doNImage¶: Create image of number of contributing exposures for each pixel (bool, default False)

doPrefilterArtifacts¶: Ignore artifact candidates that are mostly covered by the bad pixel mask, because they will be excluded anyway. This prevents them from contributing to the outlier epoch count image and potentially being labeled as persistant.’Mostly’ is defined by the config ‘prefilterArtifactsRatio’. (bool, default True)

doPreserveContainedBySource¶: Rescue artifacts from clipping that completely lie within a footprint detectedon the PsfMatched Template Coadd. Replicates a behavior of SafeClip. (bool, default True)

doPsfMatch¶: Match to modelPsf? Deprecated. Sets makePsfMatched=True, makeDirect=False (bool, default False)

doScaleWarpVariance¶: Rescale Warp variance plane using empirical noise? (bool, default True)

doSigmaClip¶: Perform sigma clipped outlier rejection with MEANCLIP statistic? (DEPRECATED) (bool, default False)

doUsePsfMatchedPolygons¶: Use ValidPolygons from shrunk Psf-Matched Calexps? Should be set to True by CompareWarp only. (bool, default False)

doWrite¶: Persist coadd? (bool, default True)

inputRecorder¶: Subtask that helps fill CoaddInputs catalogs added to the final Exposure (ConfigurableInstance, default <class 'lsst.pipe.tasks.coaddInputRecorder.CoaddInputRecorderConfig'>)

interpImage¶: Task to interpolate (and extrapolate) over NaN pixels (ConfigurableInstance, default <class 'lsst.pipe.tasks.interpImage.InterpImageConfig'>)

maskPropagationThresholds¶: Threshold (in fractional weight) of rejection at which we propagate a mask plane to the coadd; that is, we set the mask bit on the coadd if the fraction the rejected frames would have contributed exceeds this value. (Dict, default {'SAT': 0.1})

matchingKernelSize¶: Size in pixels of matching kernel. Must be odd. (int, default 21)

maxFractionEpochsHigh¶

Fraction of local number of epochs (N) to use as effective maxNumEpochs for high N. Effective maxNumEpochs = min(maxFractionEpochsLow * N, maxNumEpochs + maxFractionEpochsHigh * N) (float, default 0.03)

Valid Range = [0.0,1.0)

maxFractionEpochsLow¶

Fraction of local number of epochs (N) to use as effective maxNumEpochs for low N. Effective maxNumEpochs = min(maxFractionEpochsLow * N, maxNumEpochs + maxFractionEpochsHigh * N) (float, default 0.4)

Valid Range = [0.0,1.0)

maxNumEpochs¶: Charactistic maximum local number of epochs/visits in which an artifact candidate can appear and still be masked. The effective maxNumEpochs is a broken linear function of local number of epochs (N): min(maxFractionEpochsLow*N, maxNumEpochs + maxFractionEpochsHigh*N). For each footprint detected on the image difference between the psfMatched warp and static sky model, if a significant fraction of pixels (defined by spatialThreshold) are residuals in more than the computed effective maxNumEpochs, the artifact candidate is deemed persistant rather than transient and not masked. (int, default 2)

modelPsf¶: Model Psf factory (ConfigurableInstance, default <class 'lsst.meas.algorithms.gaussianPsfFactory.GaussianPsfFactory'>)

prefilterArtifactsMaskPlanes¶: Prefilter artifact candidates that are mostly covered by these bad mask planes. (List, default ('NO_DATA', 'BAD', 'SAT', 'SUSPECT'))

prefilterArtifactsRatio¶: Prefilter artifact candidates with less than this fraction overlapping good pixels (float, default 0.05)

removeMaskPlanes¶: Mask planes to remove before coadding (List, default ['NOT_DEBLENDED'])

scaleWarpVariance¶: Rescale variance on warps (ConfigurableInstance, default <class 'lsst.pipe.tasks.scaleVariance.ScaleVarianceConfig'>)

scaleZeroPoint¶: Task to adjust the photometric zero point of the coadd temp exposures (ConfigurableInstance, default <class 'lsst.pipe.tasks.scaleZeroPoint.ScaleZeroPointConfig'>)

select¶: Image selection subtask. (ConfigurableInstance, default <class 'lsst.pex.config.config.Config'>)

sigmaClip¶: Sigma for outlier rejection; ignored if non-clipping statistic selected. (float, default 3.0)

spatialThreshold¶

Unitless fraction of pixels defining how much of the outlier region has to meet the temporal criteria. If 0, clip all. If 1, clip none. (float, default 0.5)

Valid Range = [0.0,1.0]

statistic¶: Main stacking statistic for aggregating over the epochs. (str, default 'MEANCLIP')

subregionSize¶: Width, height of stack subregion size; make small enough that a full stack of images will fit into memory at once. (List, default (2000, 2000))

warpType¶: Warp name: one of ‘direct’ or ‘psfMatched’ (str, default 'direct')

Methods Documentation

setDefaults()¶: Derived config classes that must compute defaults rather than using the Field defaults should do so here. To correctly use inherited defaults, implementations of setDefaults() must call their base class’ setDefaults()

Navigation

CompareWarpAssembleCoaddConfig¶