以人工智能窥探粒子的奥秘OA

Particle physics experiments have long research cycles and high barriers to entry.Limited human resources make it difficult to fully explore and analyze large volumes of colli-sion data.Agents based on large language models can write code,retrieve literature,and car-ry out multi-step analyses,offering an opportunity to address this challenge.This article fo-cuses on the Just Furnish Context(JFC)agent framework and examines results produced by the framework,including the CMS H→τ+τ-signal-strength measurement and the ALEPH Lund jet-plane density measurement,as well as their implications for particle physics re-search.It also summarizes the framework's current limitations and discusses prospects for benchmark-dataset construction,data processing at next-generation large-scale scientific facili-ties,and the training of future physicists.