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[ascl:2308.004] AstroPhot: Fitting everything everywhere all at once in astronomical images

AstroPhot quickly extracts detailed information from complex astronomical data for individual images or large survey programs. It fits models for sky, stars, galaxies, PSFs, and more in a principled chi^2 forward optimization, recovering Bayesian posterior information and covariance of all parameters. The code optimizes forward models on CPU or GPU, across images that are large, multi-band, multi-epoch, rotated, dithered, and more. Models are optimized together, thus handling overlapping objects and including the covariance between parameters (including PSF and galaxy parameters). AstroPhot includes several optimization algorithms, including Levenberg-Marquardt, Gradient descent, and No-U-Turn MCMC sampling.

Code site:
https://github.com/Autostronomy/AstroPhot/ https://autostronomy.github.io/AstroPhot/
Described in:
https://ui.adsabs.harvard.edu/abs/2023MNRAS.tmp.2330S
Bibcode:
2023ascl.soft08004S

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ascl:2308.004
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