A measurePsfTask psf estimator.
Definition at line 150 of file pcaPsfDeterminer.py.
◆ _fitPsf()
def lsst.meas.algorithms.pcaPsfDeterminer.PcaPsfDeterminerTask._fitPsf |
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self, |
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exposure, |
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psfCellSet, |
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kernelSize, |
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nEigenComponents |
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◆ determinePsf()
def lsst.meas.algorithms.pcaPsfDeterminer.PcaPsfDeterminerTask.determinePsf |
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self, |
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exposure, |
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psfCandidateList, |
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metadata = None , |
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flagKey = None |
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Determine a PCA PSF model for an exposure given a list of PSF candidates.
Parameters
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exposure : `lsst.afw.image.Exposure`
Exposure containing the psf candidates.
psfCandidateList : `list` of `lsst.meas.algorithms.PsfCandidate`
A sequence of PSF candidates typically obtained by detecting sources
and then running them through a star selector.
metadata : `lsst.daf.base import PropertyList` or `None`, optional
A home for interesting tidbits of information.
flagKey : `str`, optional
Schema key used to mark sources actually used in PSF determination.
Returns
-------
psf : `lsst.meas.algorithms.PcaPsf`
The measured PSF.
psfCellSet : `lsst.afw.math.SpatialCellSet`
The PSF candidates.
Reimplemented from lsst.meas.algorithms.psfDeterminer.BasePsfDeterminerTask.
Definition at line 193 of file pcaPsfDeterminer.py.
◆ ConfigClass
The documentation for this class was generated from the following file: