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point_source_gauss_psf

point_source_gauss_psf#

jolideco.data.point_source_gauss_psf(shape=(32, 32), shape_psf=(17, 17), sigma_psf=3, source_level=1000, background_level=2, random_state=None, dtype=<class 'numpy.float32'>)[source]#

Get point source with Gaussian PSF test data.

The exposure is assumed to be constant.

Parameters:

  • shape (tuple) – Shape of the data array.

  • shape_psf (tuple) – Shape of the psf array.

  • sigma_psf (float) – Width of the psf in pixels.

  • source_level (float) – Total integrated counts of the source

  • background_level (float) – Background level in counts / pixel.

  • random_state (~numpy.random.RandomState) – Random state

  • dtype (~numpy.dtype) – Data type

Returns:

data – Data dictionary

Return type:

dict of ~numpy.ndarray

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