LSF¶

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

Bases: object

This class offers Line Spread Function models for MUSE.

Attributes

typstr: 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

typstr: 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

lbdafloat: Wavelength value in A.
stepfloat: Size of the pixel in A.
sizeodd int: Number of pixels.
kargsdict: kargs can be used to set LSF parameters.

Returns

outarray: array containing the LSF

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

Return the LSF size in pixels.

Parameters

lbdafloat

Wavelength value in A.

stepfloat

Size of the pixel in A.

epsilonfloat

This factor is used to determine the size of LSF: min(LSF) < max(LSF)*epsilon

Returns

outint: Size in pixels.