The FERMIACC: Agents for Particle Theory
High Energy Physics - Phenomenology
2026-03-25 v1
Abstract
We present the FERMIACC, a scaffolded reasoning model built on OpenAI agents designed to autonomously generate and quantitatively validate theory hypotheses for high energy physics data at scale.
Cite
@article{arxiv.2603.22538,
title = {The FERMIACC: Agents for Particle Theory},
author = {Prateek Agrawal and Nathaniel Craig and Amalia Madden and Iñigo Valenzuela Lombera},
journal= {arXiv preprint arXiv:2603.22538},
year = {2026}
}
Comments
15 pages, 9 figure, 4 appendices
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