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arXiv · 2603.19600

Furax: A Modular JAX Framework for Linear Operators in Astrophysical and Cosmological Data Analysis

Pierre Chanial·Simon Biquard·Wassim Kabalan·Wuhyun Sohn·Artem Basyrov·Benjamin Beringue·Alexandre Boucaud·Andréa Landais·Magdy Morshed·Radek Stompor·Ema Tsang King Sang·Amalia Villarrubia-Aguilar·Josquin Errard
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Abstract

The Framework for Unified and Robust data Analysis with JAX (Furax) is an open-source Python framework for modeling data acquisition systems and solving inverse problems in astrophysics and cosmology. Built on JAX, Furax provides composable building blocks in the form of general-purpose and domain-specific linear operators, along with preconditioners and solvers for their numerical inversion. Domain-specific tools are provided for astrophysical and cosmic microwave background (CMB) data analysis$-$including map-making, instrument modeling, and astrophysical component separation$-$with a modular architecture designed to extend to other fields.

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Pierre Chanial, Simon Biquard, Wassim Kabalan, Wuhyun Sohn, Artem Basyrov, Benjamin Beringue, Alexandre Boucaud, Andréa Landais, Magdy Morshed, Radek Stompor, Ema Tsang King Sang, Amalia Villarrubia-Aguilar, Josquin Errard. 2026-03-20. Furax: A Modular JAX Framework for Linear Operators in Astrophysical and Cosmological Data Analysis. https://arxiv.org/abs/2603.19600

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