ComputeExposureSummaryStatsTask¶

Python API summary¶

from lsst.pipe.tasks.computeExposureSummaryStats import ComputeExposureSummaryStatsTask

classComputeExposureSummaryStatsTask(config=None, *, name=None, parentTask=None, log=None): Task to compute exposure summary statistics...

attributeconfig: Access configuration fields and retargetable subtasks.

methodrun(exposure, sources, background): Measure exposure statistics from the exposure, sources, and background...

Retargetable subtasks¶

No subtasks.

Configuration fields¶

badMaskPlanes¶

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

Mask planes that, if set, the associated pixel should not be included sky noise calculation.

clipIter¶

Default: 2
Field type: int Field

Number of iterations of outlier rejection for sky noise.

psfBadMaskPlanes¶

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

Mask planes that, if set, the associated pixel should not be included in the PSF model robutsness metric calculations (namely, maxDistToNearestPsf and psfTraceRadiusDelta).

psfGridSampling¶

Default: 96
Field type: int Field

Sampling rate in pixels in each dimension for PSF model robustness metric caclulations grid (the tradeoff is between adequate sampling versus speed).

psfSampling¶

Default: 8
Field type: int Field

Sampling rate in pixels in each dimension for the maxDistToNearestPsf metric caclulation grid (the tradeoff is between adequate sampling versus speed).

psfShape¶

Default: 'slot_PsfShape'
Field type: str Field

Base name of columns to use for the PSF shape in the PSF statistics computation.

sigmaClip¶

Default: 3.0
Field type: float Field

Sigma for outlier rejection for sky noise.

starSelection¶

Default: 'calib_psf_used'
Field type: str Field

Field to select sources to be used in the PSF statistics computation.

starShape¶

Default: 'slot_Shape'
Field type: str Field

Base name of columns to use for the source shape in the PSF statistics computation.

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