PcaPsfDeterminerConfig

class lsst.meas.algorithms.PcaPsfDeterminerConfig(*args, **kw)

Bases: BasePsfDeterminerConfig

Attributes Summary

borderWidth	Number of pixels to ignore around the edge of PSF candidate postage stamps (int, default 0)
constantWeight	Should each PSF candidate be given the same weight, independent of magnitude? (bool, default True)
doMaskBlends	Mask blends in image? (bool, default True)
doRejectBlends	Reject candidates that are blended? (bool, default False)
downsampleRandomSeed	Random seed to use to downsample candidates.
lam	floor for variance is lam*data (float, default 0.05)
maxCandidates	Maximum number of candidates to consider.
nEigenComponents	number of eigen components for PSF kernel creation (int, default 4)
nIterForPsf	number of iterations of PSF candidate star list (int, default 3)
nStarPerCell	number of stars per psf cell for PSF kernel creation (int, default 3)
nStarPerCellSpatialFit	number of stars per psf Cell for spatial fitting (int, default 5)
nonLinearSpatialFit	Use non-linear fitter for spatial variation of Kernel (bool, default False)
pixelThreshold	Threshold (stdev) for rejecting extraneous pixels around candidate; applied if positive (float, default 0.0)
reducedChi2ForPsfCandidates	for psf candidate evaluation (float, default 2.0)
sizeCellX	size of cell used to determine PSF (pixels, column direction) (int, default 256)
sizeCellY	size of cell used to determine PSF (pixels, row direction) (int, default 256)
spatialOrder	specify spatial order for PSF kernel creation (int, default 2)
spatialReject	Rejection threshold (stdev) for candidates based on spatial fit (float, default 3.0)
stampSize	Size of the postage stamp (in native pixels) to render the PSF model.
tolerance	tolerance of spatial fitting (float, default 0.01)

Methods Summary

setDefaults()

Subclass hook for computing defaults.

Attributes Documentation

borderWidth

Number of pixels to ignore around the edge of PSF candidate postage stamps (int, default 0)

constantWeight

Should each PSF candidate be given the same weight, independent of magnitude? (bool, default True)

doMaskBlends

Mask blends in image? (bool, default True)

doRejectBlends

Reject candidates that are blended? (bool, default False)

downsampleRandomSeed

Random seed to use to downsample candidates. (int, default 98765)

lam

floor for variance is lam*data (float, default 0.05)

maxCandidates

Maximum number of candidates to consider. Will down-sample if given more. (int, default 300)

nEigenComponents

number of eigen components for PSF kernel creation (int, default 4)

nIterForPsf

number of iterations of PSF candidate star list (int, default 3)

nStarPerCell

number of stars per psf cell for PSF kernel creation (int, default 3)

nStarPerCellSpatialFit

number of stars per psf Cell for spatial fitting (int, default 5)

nonLinearSpatialFit

Use non-linear fitter for spatial variation of Kernel (bool, default False)

pixelThreshold

Threshold (stdev) for rejecting extraneous pixels around candidate; applied if positive (float, default 0.0)

reducedChi2ForPsfCandidates

for psf candidate evaluation (float, default 2.0)

sizeCellX

size of cell used to determine PSF (pixels, column direction) (int, default 256)

sizeCellY

size of cell used to determine PSF (pixels, row direction) (int, default 256)

spatialOrder

specify spatial order for PSF kernel creation (int, default 2)

spatialReject

Rejection threshold (stdev) for candidates based on spatial fit (float, default 3.0)

stampSize

Size of the postage stamp (in native pixels) to render the PSF model. Should be odd. (int, default None)

tolerance

tolerance of spatial fitting (float, default 0.01)

Methods Documentation

setDefaults()

Subclass hook for computing defaults.

Notes

Derived Config classes that must compute defaults rather than using the Field instances’s defaults should do so here. To correctly use inherited defaults, implementations of setDefaults must call their base class’s setDefaults.