FSFModel

class mpdaf.MUSE.FSFModel

Bases: object

Base class for FSF models.

Methods Summary

from_header(hdr, pixstep[, field])	Read FSF parameters from a FITS header
from_hstconv(cube, hstimages[, lbrange])	Compute FSF by convolution of HST images
from_psfrec(rawfilename)	Compute FSF parameters from GLAO MUSE PSF reconstruction
from_starfit(cube, pos, \*\*kwargs)	Compute FSF by fitting a point source on a datacube
get_2darray(self, lbda, shape[, center])	Return FSF 2D array at the given wavelength.
get_3darray(self, lbda, shape[, center])	Return FSF cube at the given wavelengths.
get_beta(self, lbda)	Return beta for the given wavelengths.
get_cube(self, wave, wcs[, center])	Return FSF cube at the given wavelengths.
get_fwhm(self, lbda)	Return FWHM for the given wavelengths.
get_image(self, lbda, wcs[, center])	Return FSF image at the given wavelength.
read(cube[, field, pixstep])	Read the FSF model from a file, cube, or header.
to_header(self[, hdr])	Write FSF parameters to a FITS header

Methods Documentation

classmethod from_header(hdr, pixstep, field=0)

Read FSF parameters from a FITS header

classmethod from_hstconv(cube, hstimages, lbrange=(5000, 9000), **kwargs)

Compute FSF by convolution of HST images

classmethod from_psfrec(rawfilename)

Compute FSF parameters from GLAO MUSE PSF reconstruction

classmethod from_starfit(cube, pos, **kwargs)

Compute FSF by fitting a point source on a datacube

get_2darray(self, lbda, shape, center=None)

Return FSF 2D array at the given wavelength.

get_3darray(self, lbda, shape, center=None)

Return FSF cube at the given wavelengths.

get_beta(self, lbda)

Return beta for the given wavelengths.

get_cube(self, wave, wcs, center=None)

Return FSF cube at the given wavelengths.

get_fwhm(self, lbda)

Return FWHM for the given wavelengths.

get_image(self, lbda, wcs, center=None)

Return FSF image at the given wavelength.

classmethod read(cube, field=None, pixstep=None)

Read the FSF model from a file, cube, or header.

Parameters

cubestr, mpdaf.obj.Cube, or astropy.io.fits.Header

Must contain a header with a FSF model.

fieldint

Field number to read, otherwise all models are read.

to_header(self, hdr=None)

Write FSF parameters to a FITS header