SafeClipAssembleCoaddTask¶

Python API summary¶

from lsst.pipe.tasks.assembleCoadd import SafeClipAssembleCoaddTask

classSafeClipAssembleCoaddTask(*args, **kwargs): Assemble a coadded image from a set of coadded temporary exposures, being careful to clip & flag areas with potential artifacts...

attributeconfig: Access configuration fields and retargetable subtasks.

methodrun(skyInfo, tempExpRefList, imageScalerList, weightList, *args, **kwargs): Assemble the coadd for a region...

methodrunDataRef(dataRef, selectDataList=[]): Assemble a coadd from a set of Warps...

Retargetable subtasks¶

clipDetection¶

Default: lsst.meas.algorithms.detection.SourceDetectionTask
Field type: ConfigurableField

Detect sources on difference between unclipped and clipped coadd

inputRecorder¶

Default: lsst.pipe.tasks.coaddInputRecorder.CoaddInputRecorderTask
Field type: ConfigurableField

Subtask that helps fill CoaddInputs catalogs added to the final Exposure

interpImage¶

Default: lsst.pipe.tasks.interpImage.InterpImageTask
Field type: ConfigurableField

Task to interpolate (and extrapolate) over NaN pixels

modelPsf¶

Default: lsst.meas.algorithms.gaussianPsfFactory.applyWrapper
Field type: ConfigurableField

Model Psf factory

scaleZeroPoint¶

Default: lsst.pipe.tasks.scaleZeroPoint.ScaleZeroPointTask
Field type: ConfigurableField

Task to adjust the photometric zero point of the coadd temp exposures

select¶

Default: lsst.pipe.tasks.selectImages.WcsSelectImagesTask
Field type: ConfigurableField

Image selection subtask.

Configuration fields¶

badMaskPlanes¶

Default: ('NO_DATA',)
Field type: str ListField

Mask planes that, if set, the associated pixel should not be included in the coaddTempExp.

brightObjectMaskName¶

Default: 'BRIGHT_OBJECT'
Field type: str Field

Name of mask bit used for bright objects

calcErrorFromInputVariance¶

Default: True
Field type: bool Field

Calculate coadd variance from input variance by stacking statistic.Passed to StatisticsControl.setCalcErrorFromInputVariance()

clipIter¶

Default: 2
Field type: int Field

Number of iterations of outlier rejection; ignored if non-clipping statistic selected.

coaddName¶

Default: 'deep'
Field type: str Field

Coadd name: typically one of deep or goodSeeing.

coaddPsf¶

Data type: lsst.meas.algorithms.coaddPsf.coaddPsfContinued.CoaddPsfConfig
Field type: ConfigField

Configuration for CoaddPsf

doApplyUberCal¶

Default: False
Field type: bool Field

Apply meas_mosaic ubercal results to input calexps?

doAttachTransmissionCurve¶

Default: False
Field type: bool Field

Attach a piecewise TransmissionCurve for the coadd? (requires all input Exposures to have TransmissionCurves).

doInterp¶

Default: True
Field type: bool Field

Interpolate over NaN pixels? Also extrapolate, if necessary, but the results are ugly.

doMaskBrightObjects¶

Default: False
Field type: bool Field

Set mask and flag bits for bright objects?

doNImage¶

Default: False
Field type: bool Field

Create image of number of contributing exposures for each pixel

doPsfMatch¶

Default: False
Field type: bool Field

Match to modelPsf? Deprecated. Sets makePsfMatched=True, makeDirect=False

doSigmaClip¶

Default: False
Field type: bool Field

Perform sigma clipped outlier rejection with MEANCLIP statistic? (DEPRECATED)

doUsePsfMatchedPolygons¶

Default: False
Field type: bool Field

Use ValidPolygons from shrunk Psf-Matched Calexps? Should be set to True by CompareWarp only.

doWrite¶

Default: True
Field type: bool Field

Persist coadd?

maskPropagationThresholds¶

Default: {'SAT': 0.1}
Field type: DictField
Key type: str
Value type: float

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¶

Default: 21
Field type: int Field

Size in pixels of matching kernel. Must be odd.

maxClipFootOverlapDouble¶

Default: 0.15
Field type: float Field

Maximum fractional overlap of clipped footprints with visit DETECTED when considering two visits

minBigOverlap¶

Default: 100
Field type: int Field

Minimum number of pixels in footprint to use DETECTED mask from the single visits when labeling clipped footprints

minClipFootOverlap¶

Default: 0.6
Field type: float Field

Minimum fractional overlap of clipped footprint with visit DETECTED to be clipped

minClipFootOverlapDouble¶

Default: 0.45
Field type: float Field

Minimum fractional overlap of clipped footprints with visit DETECTED to be clipped when two visits overlap

minClipFootOverlapSingle¶

Default: 0.5
Field type: float Field

Minimum fractional overlap of clipped footprint with visit DETECTED to be clipped when only one visit overlaps

removeMaskPlanes¶

Default: ['NOT_DEBLENDED']
Field type: str ListField

Mask planes to remove before coadding

sigmaClip¶

Default: 3.0
Field type: float Field

Sigma for outlier rejection; ignored if non-clipping statistic selected.

statistic¶

Default: 'MEANCLIP'
Field type: str Field

Main stacking statistic for aggregating over the epochs.

subregionSize¶

Default: (2000, 2000)
Field type: int ListField
Required length: 2

Width, height of stack subregion size; make small enough that a full stack of images will fit into memory at once.

warpType¶

Default: 'direct'
Field type: str Field

Warp name: one of ‘direct’ or ‘psfMatched’

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