DcrAssembleCoaddTask¶

Python API summary¶

from lsst.pipe.tasks.dcrAssembleCoadd import DcrAssembleCoaddTask

classDcrAssembleCoaddTask(*args, **kwargs): Assemble DCR coadded images from a set of warps...

attributeconfig: Access configuration fields and retargetable subtasks.

methodrun(skyInfo, tempExpRefList, imageScalerList, weightList, supplementaryData=None): Assemble the coadd...

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

Retargetable subtasks¶

assembleStaticSkyModel¶

Default: lsst.pipe.tasks.assembleCoadd.AssembleCoaddTask
Field type: ConfigurableField

Task to assemble an artifact-free, PSF-matched Coadd to serve as a naive/first-iteration model of the static sky.

detect¶

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

Detect outlier sources on difference between each psfMatched warp and static sky model

detectTemplate¶

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

Detect sources on static sky model. Only used if doPreserveContainedBySource is True

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

scaleWarpVariance¶

Default: lsst.pipe.tasks.scaleVariance.ScaleVarianceTask
Field type: ConfigurableField

Rescale variance on warps

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.

baseGain¶

Default: None
Field type: float Field (optional)

Relative weight to give the new solution vs. the last solution when updating the model.A value of 1.0 gives equal weight to both solutions.Small values imply slower convergence of the solution, but can help prevent overshooting and failures in the fit.If baseGain is None, a conservative gain will be calculated from the number of subfilters.

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

convergenceMaskPlanes¶

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

Mask planes to use to calculate convergence.

convergenceThreshold¶

Default: 0.001
Field type: float Field

Target relative change in convergence between iterations of forward modeling.

dcrNumSubfilters¶

Default: 3
Field type: int Field

Number of sub-filters to forward model chromatic effects to fit the supplied exposures.

doAirmassWeight¶

Default: True
Field type: bool Field

Weight exposures by airmass? Useful if there are relatively few high-airmass observations.

doApplyUberCal¶

Default: False
Field type: bool Field

Apply jointcal WCS and PhotoCalib 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

doPrefilterArtifacts¶

Default: True
Field type: bool Field

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’.

doPreserveContainedBySource¶

Default: True
Field type: bool Field

Rescue artifacts from clipping that completely lie within a footprint detectedon the PsfMatched Template Coadd. Replicates a behavior of SafeClip.

doPsfMatch¶

Default: False
Field type: bool Field

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

doScaleWarpVariance¶

Default: True
Field type: bool Field

Rescale Warp variance plane using empirical noise?

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?

imageWarpMethod¶

Default: 'lanczos3'
Field type: str Field

Name of the warping kernel to use for shifting the image and variance planes.

includeCalibVar¶

Default: False
Field type: bool Field

Add photometric calibration variance to warp variance plane.

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.

maskWarpMethod¶

Default: 'bilinear'
Field type: str Field

Name of the warping kernel to use for shifting the mask plane.

matchingKernelSize¶

Default: 21
Field type: int Field

Size in pixels of matching kernel. Must be odd.

maxFractionEpochsHigh¶

Default: 0.03
Field type: float RangeField
Range: [0.0,1.0)

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

maxFractionEpochsLow¶

Default: 0.4
Field type: float RangeField
Range: [0.0,1.0)

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

maxNumEpochs¶

Default: 2
Field type: int Field

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.

maxNumIter¶

Default: 8
Field type: int Field

Maximum number of iterations of forward modeling.

minNumIter¶

Default: 3
Field type: int Field

Minimum number of iterations of forward modeling.

modelWeightsWidth¶

Default: 3
Field type: float Field

Width of the region around detected sources to include in the DcrModel.

prefilterArtifactsMaskPlanes¶

Default: ('NO_DATA', 'BAD', 'SAT', 'SUSPECT')
Field type: str ListField

Prefilter artifact candidates that are mostly covered by these bad mask planes.

prefilterArtifactsRatio¶

Default: 0.05
Field type: float Field

Prefilter artifact candidates with less than this fraction overlapping good pixels

regularizationWidth¶

Default: 2
Field type: int Field

Minimum radius of a region to include in regularization, in pixels.

regularizeModelFrequency¶

Default: 4.0
Field type: float Field

Maximum relative change of the model allowed between subfilters.Set to zero to disable.

regularizeModelIterations¶

Default: 2.0
Field type: float Field

Maximum relative change of the model allowed between iterations.Set to zero to disable.

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.

spatialThreshold¶

Default: 0.5
Field type: float RangeField
Range: [0.0,1.0]

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.

splitSubfilters¶

Default: False
Field type: bool Field

Calculate DCR for two evenly-spaced wavelengths in each subfilter.Instead of at the midpoint

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.

useConvergence¶

Default: True
Field type: bool Field

Use convergence test as a forward modeling end condition?If not set, skips calculating convergence and runs for maxNumIter iterations

useMeasMosaic¶

Default: False
Field type: bool Field

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

useModelWeights¶

Default: True
Field type: bool Field