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ASCL Code Record

[ascl:2212.010] sf_deconvolve: PSF deconvolution and analysis

sf_deconvolve performs PSF deconvolution using a low-rank approximation and sparsity. It can handle a fixed PSF for the entire field or a stack of PSFs for each galaxy position. The code accepts Numpy binary files or FITS as input, takes the observed (i.e. with PSF effects and noise) stack of galaxy images and a known PSF, and attempts to reconstruct the original images. sf_deconvolve can be run in a terminal or in an active Python session, and includes options for initialization, optimization, low-Rank approximation, sparsity, PSF estimation, and other attributes.

Code site:
https://github.com/sfarrens/sf_deconvolve
Described in:
https://ui.adsabs.harvard.edu/abs/2017A%26A...601A..66F
Bibcode:
2022ascl.soft12010F

Views: 942

ascl:2212.010
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