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
PcaPsfDeterminerTask(config, schema=None, **kwds) A measurePsfTask psf estimator
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- attributeconfig
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?
doMaskBlends¶
Mask blends in image?
doRejectBlends¶
Reject candidates that are blended?
lam¶
floor for variance is lam*data
nEigenComponents¶
number of eigen components for PSF kernel creation
nIterForPsf¶
number of iterations of PSF candidate star list
nStarPerCell¶
number of stars per psf cell for PSF kernel creation
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
reducedChi2ForPsfCandidates¶
for psf candidate evaluation
sizeCellX¶
size of cell used to determine PSF (pixels, column direction)
sizeCellY¶
size of cell used to determine PSF (pixels, row direction)
spatialOrder¶
specify spatial order for PSF kernel creation
spatialReject¶
Rejection threshold (stdev) for candidates based on spatial fit
stampSize¶
Size of the postage stamp (in native pixels) to render the PSF model. Should be odd.
tolerance¶
tolerance of spatial fitting