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[ascl:2306.006] β-SGP: Scaled Gradient Projection algorithm using β-divergence

β-SGP deconvolves an astronomical image with a known Point Spread Function, providing a means for restoration of telescopic images due to issues ranging from atmospheric turbulence to instrumental aberrations. The code supports improved astrometry, deblending of overlapping sources, faint source detection, and identification of point sources near bright extended objects, and other tasks. β-SGP generalizes the Scaled Gradient Projection (SGP) image deconvolution algorithm using β-divergence as a loss function to restore distorted stellar shapes.

Code site:
https://github.com/Yash-10/beta-sgp
Described in:
https://ui.adsabs.harvard.edu/abs/2022arXiv220710973G
Bibcode:
2023ascl.soft06006G

Views: 1244

ascl:2306.006
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