halox: Dark matter halo properties and large-scale structure calculations using JAX

Dark matter halos are fundamental structures in cosmology, forming the gravitational potential wells hosting galaxies and clusters of galaxies. Their properties and statistical distribution (including the halo mass function) are invaluable tools to infer the fundamental properties of the Universe. The \texttt{halox} package is a JAX-powered Python library enabling differentiable and accelerated computations of key properties of dark matter halos, and of the halo mass function. The automatic differentiation capabilities of \texttt{halox} enable its usage in gradient-based workflows, e.g. in efficient Hamiltonian Monte Carlo sampling or machine learning applications.

Publication Details

Journal
ArXiv.org
Published
2025-09-26
Primary Topic
Tuberculosis Research and Epidemiology
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article
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article

halox: Dark matter halo properties and large-scale structure calculations using JAX

ArXiv.org
Tuberculosis Research and Epidemiology
article

halox: Dark matter halo properties and large-scale structure calculations using JAX

article en

Abstract

Dark matter halos are fundamental structures in cosmology, forming the gravitational potential wells hosting galaxies and clusters of galaxies. Their properties and statistical distribution (including the halo mass function) are invaluable tools to infer the fundamental properties of the Universe. The \texttt{halox} package is a JAX-powered Python library enabling differentiable and accelerated computations of key properties of dark matter halos, and of the halo mass function. The automatic differentiation capabilities of \texttt{halox} enable its usage in gradient-based workflows, e.g. in efficient Hamiltonian Monte Carlo sampling or machine learning applications.

ArXiv.org
Openalex Percentile: Top 43%
Tuberculosis Research and Epidemiology
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halox: Dark matter halo properties and large-scale structure calculations using JAX · ArXiv.org (2025) | TGRS Research Map | TGRS