AI Agents Autonomously Execute Full High Energy Physics Analysis Pipelines

Summary

A new preprint on arXiv demonstrates that large language model-based AI agents — specifically Anthropic's Claude Code — can autonomously execute substantial portions of a high energy physics (HEP) experimental analysis pipeline. The researchers show that given access to a dataset, an execution framework, and a corpus of prior experimental literature, Claude Code successfully automated all stages of a typical analysis: event selection, background estimation, uncertainty quantification, statistica