PcaPsfDeterminerTask¶
PcaPsfDeterminerTask
estimates PSFs of pre-selected likely stars using a PCA decomposition approach.
Python API summary¶
from lsst.meas.algorithms.pcaPsfDeterminer import PcaPsfDeterminerTask
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class
(config, schema=None, **kwds)PcaPsfDeterminerTask
A measurePsfTask psf estimator
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attribute
config
Access configuration fields and retargetable subtasks.
See also
See the PcaPsfDeterminerTask
API reference for complete details.
Retargetable subtasks¶
No subtasks.
Configuration fields¶
borderWidth¶
Number of pixels to ignore around the edge of PSF candidate postage stamps
constantWeight¶
Should each PSF candidate be given the same weight, independent of magnitude?
kernelSize¶
radius of the kernel to create, relative to the square root of the stellar quadrupole moments
nStarPerCellSpatialFit¶
number of stars per psf Cell for spatial fitting
nonLinearSpatialFit¶
Use non-linear fitter for spatial variation of Kernel
pixelThreshold¶
Threshold (stdev) for rejecting extraneous pixels around candidate; applied if positive
sizeCellX¶
size of cell used to determine PSF (pixels, column direction)
sizeCellY¶
size of cell used to determine PSF (pixels, row direction)
spatialReject¶
Rejection threshold (stdev) for candidates based on spatial fit