LSF¶

class mpdaf.MUSE.LSF(typ='qsim_v1')[source]¶

Bases: object

This class offers Line Spread Function models for MUSE.

Attributes:	typ : str LSF type.

Manages LSF model.

qsim_v1 : simple model where the LSF is supposed to be constant over the FoV. It is a convolution of a step function with a Gaussian. The resulting function is then sample by the pixel size. The slit width is assumed to be constant (2.09 pixels). The Gaussian sigma parameter is a polynomial approximation of order 3 with wavelength.

Parameters:	typ : str type of LSF

Methods Summary

`get_LSF`(lbda, step, size, **kargs)	Return an array containing the LSF.
`size`(lbda, step, epsilon, **kargs)	Return the LSF size in pixels.

Methods Documentation

get_LSF(lbda, step, size, **kargs)[source]¶

Return an array containing the LSF.

Parameters:	lbda : float Wavelength value in A. step : float Size of the pixel in A. size : odd int Number of pixels. kargs : dict kargs can be used to set LSF parameters.
Returns:	out : array array containing the LSF

size(lbda, step, epsilon, **kargs)[source]¶

Return the LSF size in pixels.

Parameters:	lbda : float Wavelength value in A. step : float Size of the pixel in A. epsilon : float This factor is used to determine the size of LSF min(LSF) < max(LSF)*epsilon
Returns:	out : int Size in pixels.