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

Fuente: arXiv
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Autores principales: Chanial, Pierre, Biquard, Simon, Kabalan, Wassim, Sohn, Wuhyun, Basyrov, Artem, Beringue, Benjamin, Boucaud, Alexandre, Landais, Andréa, Morshed, Magdy, Stompor, Radek, Sang, Ema Tsang King, Villarrubia-Aguilar, Amalia, Errard, Josquin
Formato: Preprint
Publicado: 2026
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author Chanial, Pierre
Biquard, Simon
Kabalan, Wassim
Sohn, Wuhyun
Basyrov, Artem
Beringue, Benjamin
Boucaud, Alexandre
Landais, Andréa
Morshed, Magdy
Stompor, Radek
Sang, Ema Tsang King
Villarrubia-Aguilar, Amalia
Errard, Josquin
author_facet Chanial, Pierre
Biquard, Simon
Kabalan, Wassim
Sohn, Wuhyun
Basyrov, Artem
Beringue, Benjamin
Boucaud, Alexandre
Landais, Andréa
Morshed, Magdy
Stompor, Radek
Sang, Ema Tsang King
Villarrubia-Aguilar, Amalia
Errard, Josquin
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2603_19600
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Furax: A Modular JAX Framework for Linear Operators in Astrophysical and Cosmological Data Analysis
Chanial, Pierre
Biquard, Simon
Kabalan, Wassim
Sohn, Wuhyun
Basyrov, Artem
Beringue, Benjamin
Boucaud, Alexandre
Landais, Andréa
Morshed, Magdy
Stompor, Radek
Sang, Ema Tsang King
Villarrubia-Aguilar, Amalia
Errard, Josquin
Instrumentation and Methods for Astrophysics
Cosmology and Nongalactic Astrophysics
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.
title Furax: A Modular JAX Framework for Linear Operators in Astrophysical and Cosmological Data Analysis
topic Instrumentation and Methods for Astrophysics
Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2603.19600