GaussianPointSpreadFunction

class lsst.images.psfs.GaussianPointSpreadFunction(sigma, bounds, stamp_size)

Bases: PointSpreadFunction

A PSF with a spatially-invariant circular Gaussian profile.

Parameters:

• sigma (float) – Standard deviation of the Gaussian profile in pixels.

• bounds (Bounds) – The pixel-coordinate region where the model can safely be evaluated.

• stamp_size (int) – Side length in pixels of the PSF image stamps; must be a positive odd number.

Attributes Summary

bounds	The region where this PSF model is valid.
kernel_bbox	Bounding box of all images returned by compute_kernel_image.

Methods Summary

compute_kernel_image(*, x, y)	Evaluate the PSF model into an image suitable for convolution.
compute_stellar_bbox(*, x, y)	Return the bounding box of the image that would be returned by compute_stellar_image.
compute_stellar_image(*, x, y)	Evaluate the PSF model into an image suitable for comparison with the image of an astrophysical point source.
from_legacy(legacy_psf, bounds)	Make a PSF object from a legacy lsst.afw.detection.Psf instance.
serialize(archive)
to_legacy()	Convert to a legacy lsst.afw.detection.Psf, if possible.

Attributes Documentation

bounds

kernel_bbox

Methods Documentation

compute_kernel_image(*, x, y)

Evaluate the PSF model into an image suitable for convolution.

Parameters:

• x (float) – Column position coordinate to evaluate at.

• y (float) – Row position coordinate to evaluate at.

Returns:

An image of the PSF, centered on the center of the center pixel, which is defined to be (0, 0) by the image’s origin.

Return type:

Image

compute_stellar_bbox(*, x, y)

Return the bounding box of the image that would be returned by compute_stellar_image.

Parameters:

• x (float) – Column position coordinate to evaluate at.

• y (float) – Row position coordinate to evaluate at.

Returns:

The bounding box of the image that would be returned by compute_stellar_image at the given point.

Return type:

Box

compute_stellar_image(*, x, y)

Evaluate the PSF model into an image suitable for comparison with the image of an astrophysical point source.

Parameters:

• x (float) – Column position coordinate to evaluate at.

• y (float) – Row position coordinate to evaluate at.

Returns:

An image of the PSF, centered on the given coordinates, just like the postage stamp of a star would be.

Return type:

Image

classmethod from_legacy(legacy_psf, bounds)

Make a PSF object from a legacy lsst.afw.detection.Psf instance.

Parameters:

• legacy_psf (Any) – Legacy PSF object.

• bounds (Bounds) – The region where this PSF model is valid.

Returns:

The converted PSF object.

Return type:

PointSpreadFunction

Notes

This base class method is a factory dispatch function that automatically selects the right PointSpreadFunction subclass to use. When that is already known, a subclass from_legacy method can be called instead.

serialize(archive)

Parameters:

archive (OutputArchive[Any])

Return type:

GaussianPSFSerializationModel

to_legacy()

Convert to a legacy lsst.afw.detection.Psf, if possible.

Return type:

Any