Inheritance diagram for lsst.meas.algorithms.pcaPsfDeterminer.PcaPsfDeterminerTask:

Public Member Functions
	determinePsf (self, exposure, psfCandidateList, metadata=None, flagKey=None)

	downsampleCandidates (self, inputCandidateList)

Static Public Attributes
bool	usesMatches = False

	ConfigClass = BasePsfDeterminerConfig

Protected Member Functions
	_fitPsf (self, exposure, psfCellSet, kernelSize, nEigenComponents)

Static Protected Attributes
str	_DefaultName = "psfDeterminer"

Detailed Description

A measurePsfTask psf estimator.

Definition at line 149 of file pcaPsfDeterminer.py.

Member Function Documentation

◆ _fitPsf()

lsst.meas.algorithms.pcaPsfDeterminer.PcaPsfDeterminerTask._fitPsf	(	self,
		exposure,
		psfCellSet,
		kernelSize,
		nEigenComponents )

protected

Definition at line 154 of file pcaPsfDeterminer.py.

◆ determinePsf()

lsst.meas.algorithms.pcaPsfDeterminer.PcaPsfDeterminerTask.determinePsf	(	self,
		exposure,
		psfCandidateList,
		metadata = None,
		flagKey = None )

Determine a PCA PSF model for an exposure given a list of PSF candidates.

Parameters
----------
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 192 of file pcaPsfDeterminer.py.

◆ downsampleCandidates()

lsst.meas.algorithms.psfDeterminer.BasePsfDeterminerTask.downsampleCandidates	(		self,
			inputCandidateList )

inherited

Down-sample candidates from the input candidate list.

Parameters
----------
inputCandidateList : `list` [`lsst.meas.algorithms.PsfCandidate`]
    Input candidate list.

Returns
-------
outputCandidateList : `list` [`lsst.meas.algorithms.PsfCandidate`]
    Down-selected candidate list.

Definition at line 75 of file psfDeterminer.py.

Member Data Documentation

◆ _DefaultName

str lsst.meas.algorithms.psfDeterminer.BasePsfDeterminerTask._DefaultName = "psfDeterminer"

staticprotectedinherited

Definition at line 70 of file psfDeterminer.py.

◆ ConfigClass

lsst.meas.algorithms.psfDeterminer.BasePsfDeterminerTask.ConfigClass = BasePsfDeterminerConfig

staticinherited

Definition at line 69 of file psfDeterminer.py.

◆ usesMatches

bool lsst.meas.algorithms.psfDeterminer.BasePsfDeterminerTask.usesMatches = False

staticinherited

Definition at line 68 of file psfDeterminer.py.

The documentation for this class was generated from the following file:

python/lsst/meas/algorithms/pcaPsfDeterminer.py

Public Member Functions

Static Public Attributes

Protected Member Functions

Static Protected Attributes