Inheritance diagram for lsst.meas.algorithms.psfDeterminer.BasePsfDeterminerTask:

Public Member Functions
def	__init__ (self, config, schema=None, **kwds)

def	determinePsf (self, exposure, psfCandidateList, metadata=None)

Static Public Attributes
bool	usesMatches = False

	ConfigClass = BasePsfDeterminerConfig

Detailed Description

Base class for PSF determiners

Register all PSF determiners with the psfDeterminerRegistry using:
    psfDeterminerRegistry.register(name, class)

Parameters
----------
config : `lsst.pexConfig.Config`
    Input for configuring the algorithm
schema : `lsst.afw.table.Schema`
    Schema used for sources; passing a schema allows the
    determiner to reserve a flag field to mark stars used in
    PSF measurement, but some PSF determiners ignore this argument.

Definition at line 54 of file psfDeterminer.py.

Constructor & Destructor Documentation

◆ init()

def lsst.meas.algorithms.psfDeterminer.BasePsfDeterminerTask.__init__	(		self,
			config,
			schema = `None`,
		**	kwds
	)

Definition at line 74 of file psfDeterminer.py.

     def __init__(self, config, schema=None, **kwds):
         pipeBase.Task.__init__(self, config=config, **kwds)
  

Member Function Documentation

◆ determinePsf()

def lsst.meas.algorithms.psfDeterminer.BasePsfDeterminerTask.determinePsf	(	self,
		exposure,
		psfCandidateList,
		metadata = `None`
	)

Determine a PSF model.

Parameters
----------
exposure : `lsst.afw.Exposure`
    Exposure containing the psf candidates.
psdCandidateList : `list` [`lsst.meas.algorithms.PsfCandidate`]
    A sequence of PSF candidates; typically obtained by
    detecting sources and then running them through a star
    selector.
metadata : `str`
    A place to save interesting items.

Returns
-------
psf : `lsst.afw.detection.Psf`
    The fit PSF.
cellSet : `lsst.afw.math.SpatialCellSet`
    The spatial cell set used to determine the PSF

Definition at line 78 of file psfDeterminer.py.

     def determinePsf(self, exposure, psfCandidateList, metadata=None):
         """Determine a PSF model.
  
         Parameters
         ----------
         exposure : `lsst.afw.Exposure`
             Exposure containing the psf candidates.
         psdCandidateList : `list` [`lsst.meas.algorithms.PsfCandidate`]
             A sequence of PSF candidates; typically obtained by
             detecting sources and then running them through a star
             selector.
         metadata : `str`
             A place to save interesting items.
  
         Returns
         -------
         psf : `lsst.afw.detection.Psf`
             The fit PSF.
         cellSet : `lsst.afw.math.SpatialCellSet`
             The spatial cell set used to determine the PSF
         """
         raise NotImplementedError("BasePsfDeterminerTask is abstract, subclasses must override this method")
  
  

Member Data Documentation

◆ ConfigClass

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

static

Definition at line 71 of file psfDeterminer.py.

◆ usesMatches

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

static

Definition at line 70 of file psfDeterminer.py.

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

/j/snowflake/release/lsstsw/stack/lsst-scipipe-0.7.0/Linux64/meas_algorithms/22.0.1-32-gf62ce7b1+aa4237961e/python/lsst/meas/algorithms/psfDeterminer.py

Public Member Functions

Static Public Attributes