AI RESEARCH
AI Agents Can Already Autonomously Perform Experimental High Energy Physics
arXiv CS.AI
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ArXi:2603.20179v1 Announce Type: cross Large language model-based AI agents are now able to autonomously execute substantial portions of a high energy physics (HEP) analysis pipeline with minimal expert-curated input. Given access to a HEP dataset, an execution framework, and a corpus of prior experimental literature, we find that Claude Code succeeds in automating all stages of a typical analysis: event selection, background estimation, uncertainty quantification, statistical inference, and paper drafting.