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 jointcal WCS and PhotoCalib 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)
history
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.
useMeasMosaic	Use meas_mosaic’s applyMosaicResultsExposure() to do the photometric calibration/wcs update (deprecated).
warpType	Warp name: one of ‘direct’ or ‘psfMatched’ (str, default 'direct')

Methods Summary

compare(other[, shortcut, rtol, atol, output])	!Compare two Configs for equality; return True if equal
formatHistory(name, **kwargs)	!Format the specified config field’s history to a more human-readable format
freeze()	!Make this Config and all sub-configs read-only
items()	!Return the list of (field name, field value) pairs
iteritems()	!Iterate over (field name, field value) pairs
iterkeys()	!Iterate over field names
itervalues()	!Iterate over field values
keys()	!Return the list of field names
load(filename[, root])	!Modify this config in place by executing the Python code in the named file.
loadFromStream(stream[, root, filename])	!Modify this config in place by executing the python code in the provided stream.
names()	!Return all the keys in a config recursively
save(filename[, root])	!Save a python script to the named file, which, when loaded, reproduces this Config
saveToStream(outfile[, root])	!Save a python script to a stream, which, when loaded, reproduces this Config
setDefaults()	Derived config classes that must compute defaults rather than using the Field defaults should do so here.
toDict()	!Return a dict of field name: value
update(**kw)	!Update values specified by the keyword arguments
validate()	!Validate the Config; raise an exception if invalid
values()	!Return the list of field values

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 jointcal WCS and PhotoCalib 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)

history

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))

useMeasMosaic

Use meas_mosaic’s applyMosaicResultsExposure() to do the photometric calibration/wcs update (deprecated). (bool, default False)

warpType

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

Methods Documentation

compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)

!Compare two Configs for equality; return True if equal

If the Configs contain RegistryFields or ConfigChoiceFields, unselected Configs will not be compared.

@param[in] other Config object to compare with self. @param[in] shortcut If True, return as soon as an inequality is found. @param[in] rtol Relative tolerance for floating point comparisons. @param[in] atol Absolute tolerance for floating point comparisons. @param[in] output If not None, a callable that takes a string, used (possibly repeatedly)

to report inequalities.

Floating point comparisons are performed by numpy.allclose; refer to that for details.

formatHistory(name, **kwargs)

!Format the specified config field’s history to a more human-readable format

@param[in] name name of field whose history is wanted @param[in] kwargs keyword arguments for lsst.pex.config.history.format @return a string containing the formatted history

freeze()

!Make this Config and all sub-configs read-only

items()

!Return the list of (field name, field value) pairs

iteritems()

!Iterate over (field name, field value) pairs

iterkeys()

!Iterate over field names

itervalues()

!Iterate over field values

keys()

!Return the list of field names

load(filename, root='config')

!Modify this config in place by executing the Python code in the named file.

@param[in] filename name of file containing config override code @param[in] root name of variable in file that refers to the config being overridden

For example: if the value of root is “config” and the file contains this text: “config.myField = 5” then this config’s field “myField” is set to 5.

@deprecated For purposes of backwards compatibility, older config files that use root=”root” instead of root=”config” will be loaded with a warning printed to sys.stderr. This feature will be removed at some point.

loadFromStream(stream, root='config', filename=None)

!Modify this config in place by executing the python code in the provided stream.

@param[in] stream open file object, string or compiled string containing config override code @param[in] root name of variable in stream that refers to the config being overridden @param[in] filename name of config override file, or None if unknown or contained

in the stream; used for error reporting

For example: if the value of root is “config” and the stream contains this text: “config.myField = 5” then this config’s field “myField” is set to 5.

@deprecated For purposes of backwards compatibility, older config files that use root=”root” instead of root=”config” will be loaded with a warning printed to sys.stderr. This feature will be removed at some point.

names()

!Return all the keys in a config recursively

save(filename, root='config')

!Save a python script to the named file, which, when loaded, reproduces this Config

@param[in] filename name of file to which to write the config @param[in] root name to use for the root config variable; the same value must be used when loading

saveToStream(outfile, root='config')

!Save a python script to a stream, which, when loaded, reproduces this Config

@param outfile [inout] open file object to which to write the config. Accepts strings not bytes. @param root [in] name to use for the root config variable; the same value must be used when loading

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()

toDict()

!Return a dict of field name: value

Correct behavior is dependent on proper implementation of Field.toDict. If implementing a new Field type, you may need to implement your own toDict method.

update(**kw)

!Update values specified by the keyword arguments

@warning The ‘__at’ and ‘__label’ keyword arguments are special internal keywords. They are used to strip out any internal steps from the history tracebacks of the config. Modifying these keywords allows users to lie about a Config’s history. Please do not do so!

validate()

!Validate the Config; raise an exception if invalid

The base class implementation performs type checks on all fields by calling Field.validate().

Complex single-field validation can be defined by deriving new Field types. As syntactic sugar, some derived Field types are defined in this module which handle recursing into sub-configs (ConfigField, ConfigChoiceField)

Inter-field relationships should only be checked in derived Config classes after calling this method, and base validation is complete

values()

!Return the list of field values