lsst.meas.deblender.baseline.CachingPsf Class Reference

Public Member Functions
def	__init__ (self, psf)
def	computeImage (self, cx, cy)

Public Attributes
	cache
	psf

Detailed Description

Cache the PSF models

In the PSF fitting code, we request PSF models for all peaks near
the one being fit.  This was turning out to be quite expensive in
some cases.  Here, we cache the PSF models to bring the cost down
closer to O(N) rather than O(N^2).

Definition at line 756 of file baseline.py.

Constructor & Destructor Documentation

__init__()

def lsst.meas.deblender.baseline.CachingPsf.__init__	(		self,
			psf
	)

Definition at line 765 of file baseline.py.

    def __init__(self, psf):
        self.cache = {}
        self.psf = psf
 

Member Function Documentation

computeImage()

def lsst.meas.deblender.baseline.CachingPsf.computeImage	(		self,
			cx,
			cy
	)

Definition at line 769 of file baseline.py.

    def computeImage(self, cx, cy):
        im = self.cache.get((cx, cy), None)
        if im is not None:
            return im
        try:
            im = self.psf.computeImage(geom.Point2D(cx, cy))
        except lsst.pex.exceptions.Exception:
            im = self.psf.computeImage()
        self.cache[(cx, cy)] = im
        return im

Member Data Documentation

cache

lsst.meas.deblender.baseline.CachingPsf.cache

Definition at line 766 of file baseline.py.

psf

lsst.meas.deblender.baseline.CachingPsf.psf

Definition at line 767 of file baseline.py.

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

• /j/snowflake/release/lsstsw/stack/lsst-scipipe-0.7.0/Linux64/meas_deblender/22.0.1-3-g496fd5d+09117f784f/python/lsst/meas/deblender/baseline.py