MoffatModel2¶
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class
mpdaf.MUSE.
MoffatModel2
(fwhm_pol, beta_pol, lbrange, pixstep, field=0)[source]¶ Bases:
mpdaf.MUSE.FSFModel
Attributes Summary
model
name
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[, size, nslice, …])Fit a FSF model on a point source cube: input datacube pos: (dec,ra) location of the source in deg size: size of region to extract around the source in arcsec nslice: number of wavelength slices to used fwhmdeg: degre for polynomial fit of FWHM(lbda) betadeg: degre for polynomial fit of Beta(lbda) lbdarange: (lbda1,lbda2) tuple of reference wavelength for normalisation return an FSF object and intermediate fitting results as .fit attribute get_2darray
(lbda, shape[, center])Return FSF 2D array at the given wavelength. get_3darray
(lbda, shape[, center])Return FSF cube at the given wavelengths. get_beta
(lbda)Return beta for the given wavelengths. get_cube
(wave, wcs[, center])Return FSF cube at the given wavelengths. get_fwhm
(lbda[, unit])Return FWHM for the given wavelengths. get_image
(lbda, wcs[, center])Return FSF image at the given wavelength. info
()read
(cube[, field, pixstep])Read the FSF model from a file, cube, or header. to_header
([hdr, field_idx])Write FSF parameters to a FITS header Attributes Documentation
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model
= 2¶
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name
= 'Circular MOFFAT beta=poly(lbda) fwhm=poly(lbda)'¶
Methods Documentation
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classmethod
from_hstconv
(cube, hstimages, lbrange=(5000, 9000), **kwargs)¶ Compute FSF by convolution of HST images
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classmethod
from_psfrec
(rawfilename)[source]¶ Compute FSF parameters from GLAO MUSE PSF reconstruction
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classmethod
from_starfit
(cube, pos, size=5, nslice=20, fwhmdeg=3, betadeg=3, lbrange=(5000, 9000))[source]¶ Fit a FSF model on a point source cube: input datacube pos: (dec,ra) location of the source in deg size: size of region to extract around the source in arcsec nslice: number of wavelength slices to used fwhmdeg: degre for polynomial fit of FWHM(lbda) betadeg: degre for polynomial fit of Beta(lbda) lbdarange: (lbda1,lbda2) tuple of reference wavelength for normalisation return an FSF object and intermediate fitting results as .fit attribute
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get_2darray
(lbda, shape, center=None)¶ Return FSF 2D array at the given wavelength.
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get_3darray
(lbda, shape, center=None)¶ Return FSF cube at the given wavelengths.
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get_cube
(wave, wcs, center=None)¶ Return FSF cube at the given wavelengths.
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get_image
(lbda, wcs, center=None)¶ Return FSF image at the given wavelength.
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classmethod
read
(cube, field=None, pixstep=None)¶ Read the FSF model from a file, cube, or header.
Parameters: - cube : str,
mpdaf.obj.Cube
, orastropy.io.fits.Header
Must contain a header with a FSF model.
- field : int
Field number to read, otherwise all models are read.
- cube : str,
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