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Physics Event Classification Using Large Language Models

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arxiv 2404.05752 v1 pith:D2EIMSE2 submitted 2024-04-05 physics.data-an cs.LGhep-ex

Physics Event Classification Using Large Language Models

classification physics.data-an cs.LGhep-ex
keywords datahackathonphysicsworkshopai4eiceventlanguagelarge
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The 2023 AI4EIC hackathon was the culmination of the third annual AI4EIC workshop at The Catholic University of America. This workshop brought together researchers from physics, data science and computer science to discuss the latest developments in Artificial Intelligence (AI) and Machine Learning (ML) for the Electron Ion Collider (EIC), including applications for detectors, accelerators, and experimental control. The hackathon, held on the final day of the workshop, involved using a chatbot powered by a Large Language Model, ChatGPT-3.5, to train a binary classifier neutrons and photons in simulated data from the \textsc{GlueX} Barrel Calorimeter. In total, six teams of up to four participants from all over the world took part in this intense educational and research event. This article highlights the hackathon challenge, the resources and methodology used, and the results and insights gained from analyzing physics data using the most cutting-edge tools in AI/ML.

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