AI agents完成对LEP数据的精确测量，验证其在高能物理中的协作潜力。
Agentic AI -- Physicist Collaboration in Experimental Particle Physics: A Proof-of-Concept Measurement with LEP Open Data
- AI代理在物理学家指导下完成数据分析与文档撰写。
- 通过贝叶斯迭代解卷积和蒙特卡洛校正获得全修正谱。
- 适合关注AI辅助科研、粒子物理自动化分析的研究者。
我们利用存档的ALEPH数据，通过人工智能代理（OpenAI Codex和Anthropic Claude）在专家物理学家指导下，完成了对√s=91.2 GeV下e⁺e⁻碰撞中张力分布的测量。整个分析过程及笔记撰写均由AI代理完成。采用迭代贝叶斯解卷积和基于蒙特卡洛的校正方法，获得了全修正谱。该工作标志着向理论-实验闭环迈进的重要一步：AI代理可协助实验测量与理论计算，并通过结果比对生成洞察，加速基础物理发现进程。研究表明，借助开放的LEP数据和先进的理论框架，精密物理为开发用于科学应用的高级AI系统提供了理想测试平台。
原文摘要 · Abstract (English)
We present an AI agentic measurement of the thrust distribution in $e^{+}e^{-}$ collisions at $\sqrt{s}=91.2$~GeV using archived ALEPH data. The analysis and all note writing is carried out entirely by AI agents (OpenAI Codex and Anthropic Claude) under expert physicist direction. A fully corrected spectrum is obtained via Iterative Bayesian Unfolding and Monte Carlo based corrections. This work represents a step toward a theory-experiment loop in which AI agents assist with experimental measurements and theoretical calculations, and synthesize insights by comparing the results, thereby accelerating the cycle that drives discovery in fundamental physics. Our work suggests that precision physics, leveraging the open LEP data and advanced theoretical landscape, provides an ideal testing ground for developing advanced AI systems for scientific applications.
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