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Pysersic: A Python package for determining galaxy structural properties via Bayesian inference, accelerated with jax

Authors: Pasha, Imad; Miller, Tim B.;

Pysersic: A Python package for determining galaxy structural properties via Bayesian inference, accelerated with jax

Abstract

pysersic is an open source tool for fitting sersic profiles (and other parametric profiles) to galaxy images, allowing for the extraction of standard morphological parameters (e.g., effective radius, sersic index, total flux). The key advantage of pysersic is the ability to fit using a Bayesian framework, allowing for posterior distributions to be explored, while maintaining short runtimes by using autodifferentiation-enabled libraries (e.g., jax) to both enable highly efficient sampling algorithms and to move calculations to GPUs if available. This archive version is associated with the JOSS publication of this software.

Related Organizations
Keywords

galaxy morphology, jax, sersic fitting

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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