prose.Observation.plot_psf_model#

Observation.plot_psf_model(star=None, size=21, cmap='inferno', c='blueviolet', model=<class 'prose.blocks.psf.Gaussian2D'>, figsize=(5, 5), axes=None)#

Plot a PSF model fit of the a PSF

After this method is called, the model parameters are accessible through the Observation.stack Image attributes

If star is None, the model is evaluated on a median PSF from all stars.

Parameters:

  • star (int, optional) – star for which to show psf model, default is None which shows the model of the Median PSF over the stack

  • size (int, optional) – square size of extracted PSF, by default 21

  • cmap (str, optional) – color map of psf image, by default “inferno”

  • c (str, optional) – color of model plot line, by default “blueviolet”

  • model (prose.blocks, optional) – a PsfFit block, by default Gaussian2D

  • figsize (tuple, optional) – size of the pyplot figure, default (5, 5)

Returns:

PSF fit info (theta, std_x, std_y, fwhm_x, fwhm_y)

Return type:

dict