以人工智能窥探粒子的奥秘PROBING PARTICLE PHYSICS WITH ARTIFICIAL INTELLIGENCE
赵一扬,胡震
摘要(Abstract):
高能物理实验研究周期长、知识门槛高,受限于人力,大量对撞数据难以得到充分的挖掘与分析。以大语言模型为基础的智能体能够编写代码、检索文献并执行多步分析,为突破困境提供契机。本文聚焦Just Furnish Context(JFC)智能体框架,分析其完成的CMS实验H→τ~+τ~-信号强度测量、ALEPH实验Lund喷注平面密度测量等结果,及其对高能物理研究的意义;同时概括其当前局限性,并展望基准数据集构建、下一代大科学装置数据处理、人才培养的发展前景。
关键词(KeyWords): 粒子物理;高能物理实验;人工智能;大语言模型;智能体
基金项目(Foundation): 国家自然科学基金项目W2511007、125B1008;; 清华大学自主科研计划的支持
作者(Author): 赵一扬,胡震
DOI: 10.27024/j.wlygc.2026.08.13.is
参考文献(References):
- [1] GUEST D,CRANMER K,WHITESON D.Deep learning and its application to LHC physics[J].Annual Review of Nuclear and Particle Science,2018,68:161-181.
- [2] GENDREAU-DISTLER E,HO J,KIM D,et al.Automating high energy physics data analysis with LLM-powered agents[Z].arXiv:2512.07785,2025.
- [3] BADEA A,CHEN Y,MAGGI M,et al.Agentic AI-physicist collaboration in experimental particle physics:a proof-of-concept measurement with LEP open data[Z].arXiv:2603.05735,2026.
- [4] LI K,LIU B J,MELLADO B,et al.AI agents,language,deep learning,and the next revolution in science[J].Frontiers of Physics,2026,21(9):096401.
- [5] MORENO E A,BRIGHT-THONNEY S,NOVAK A,et al.AI agents can already autonomously perform experimental high energy physics[Z].arXiv:2603.20179,2026.
- [6] MCGREIVY J,DELANEY B,BECK A,et al.Seeing the forest through the trees:knowledge retrieval for streamlining particle physics analysis[Z].arXiv:2509.06855,2025.
- [7] The CMS Collaboration.Evidence for the 125GeV Higgs boson decaying to a pair of τ leptons[J].Journal of High Energy Physics,2014,2014(5):104.
- [8] ATLAS Collaboration.Measurement of the Lund jet plane using charged particles in 13TeV proton-proton collisions with the ATLAS detector[J].Physical Review Letters,2020,124:222002.
- [9] The ALEPH Collaboration.Measurement of the Z resonance parameters at LEP[J].The European Physical Journal C-Particles and Fields,2000,14(1):1-50.
- [10] HENDRYCKS D,BURNS C,KADAVATH S,et al.Measuring mathematical problem solving with the MATH dataset[C]//Proceedings of the 35th Conference on Neural Information Processing Systems Track on Datasets and Benchmarks.2021.
- [11] JIMENEZ C E,YANG J,WETTIG A,et al.The Twelfth International Conference on Learning Representations,2024.
- [12] FAROUGHY D A,SCHWEITZER S P,PANG I,et al.Collider-Bench:benchmarking AI agents with particle physics analysis reproduction[Z].arXiv:2605.13950,2026.
- [13] DIERLAMM A,on behalf of the CMS Tracker Collaboration.The CMS outer tracker upgrade for the HL-LHC[J].Nuclear Instruments and Methods in Physics Research Section A:Accelerators,Spectrometers,Detectors and Associated Equipment,2019,924:256-261.
- [14] BOCCALI T.Computing models in high energy physics[J].Reviews in Physics,2019,4:100034.
- [15] FCC Collaboration.FCC-ee:The lepton collider[J].The European Physical Journal Special Topics,2019,228(2):261-623.
- [16] The CEPC Study Group.CEPC technical design report:Accelerator[J].Radiation Detection Technology and Methods,2024,8(1):1-1105.
- [17] AI X C,AN L P,AN S Z,et al.Conceptual design report of the Super Tau-Charm Facility:The accelerator[J].Nuclear Science and Techniques,2025,36(12):242.