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disk_source_gauss_psf

disk_source_gauss_psf#

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

Get disk source with Gaussian PSF test data.

The exposure has a gradient of 50% from left to right.

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

  • source_radius (float) – Radius of the disk source

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

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

  • dtype (~numpy.dtype) –

Returns:

data – Data dictionary

Return type:

dict of ~numpy.ndarray

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