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DOE OSTI · 3010849

Fast, differentiable, and extensible big bang nucleosynthesis package

Giovanetti, Cara [New York Univ. (NYU), NY (United States)] (ORCID:0000000316113379)·Lisanti, Mariangela [Princeton Univ., NJ (United States); Flatiron Institute, New York, NY (United States)] (ORCID:0000000284958659)·Liu, Hongwan [Boston Univ., MA (United States); Univ. of Chicago, IL (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)]·Mishra-Sharma, Siddharth [NSF AI Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, MA (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Anthropic, San Francisco, CA (United States)] (ORCID:0000000190887845)·Ruderman, Joshua T. [New York Univ. (NYU), NY (United States)] (ORCID:0000000160519216)
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Abstract

Here, we introduce light isotope nucleosynthesis with JAX (LINX), a new differentiable public big bang nucleosynthesis code designed for fast parameter estimation. By leveraging JAX, LINX achieves both speed and differentiability, enabling the use of Bayesian inference, including gradient-based methods. We discuss the formalism used in LINX for rapid primordial elemental abundance predictions and give examples of how LINX can be used. When combined with differentiable cosmic microwave background power spectrum emulators, LINX can be used for joint cosmic microwave background and big bang nucleosynthesis analyses without requiring extensive computational resources, including on personal hardware.

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72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS79 ASTRONOMY AND ASTROPHYSICSbig bang nucleosynthesiscosmic microwave backgroundcosmological parametersparticle astrophysics

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Giovanetti, Cara [New York Univ. (NYU), NY (United States)] (ORCID:0000000316113379), Lisanti, Mariangela [Princeton Univ., NJ (United States); Flatiron Institute, New York, NY (United States)] (ORCID:0000000284958659), Liu, Hongwan [Boston Univ., MA (United States); Univ. of Chicago, IL (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)], Mishra-Sharma, Siddharth [NSF AI Institute for Artificial Intelligence and Fundamental Interactions, Cambridge, MA (United States); Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Anthropic, San Francisco, CA (United States)] (ORCID:0000000190887845), Ruderman, Joshua T. [New York Univ. (NYU), NY (United States)] (ORCID:0000000160519216). 2025-09-17. Fast, differentiable, and extensible big bang nucleosynthesis package. https://doi.org/10.1103/f3tj-r882

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