English

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

Instrumentation and Methods for Astrophysics 2026-03-23 v1 Cosmology and Nongalactic Astrophysics

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.

Keywords

Cite

@article{arxiv.2603.19600,
  title  = {Furax: A Modular JAX Framework for Linear Operators in Astrophysical and Cosmological Data Analysis},
  author = {Pierre Chanial and Simon Biquard and Wassim Kabalan and Wuhyun Sohn and Artem Basyrov and Benjamin Beringue and Alexandre Boucaud and Andréa Landais and Magdy Morshed and Radek Stompor and Ema Tsang King Sang and Amalia Villarrubia-Aguilar and Josquin Errard},
  journal= {arXiv preprint arXiv:2603.19600},
  year   = {2026}
}

Comments

Submitted to the Journal of Open Source Software

R2 v1 2026-07-01T11:29:15.207Z