数据与计算发展前沿 ›› 2023, Vol. 5 ›› Issue (2): 50-59.

CSTR: 32002.14.jfdc.CN10-1649/TP.2023.02.004

doi: 10.11871/jfdc.issn.2096-742X.2023.02.004

• 专刊：“人工智能&大数据”科研范式变革专刊（上） • 上一篇    下一篇

基于人工智能的高能物理大数据技术与应用

齐法制(),李刚,李纯,汪璐,张一,张正德,陈刚*(),罗武鸣,赵丽娜,胡誉,袁野   

  1. 中国科学院高能物理研究所，北京 100049
  • 收稿日期:2023-02-13 出版日期:2023-04-20 发布日期:2023-04-24
  • 通讯作者: 陈刚
  • 作者简介:齐法制，中国科学院高能物理研究所，计算中心主任，研究员。兼任中国散裂中子源（CSNS）和高能同步辐射光源（HEPS）计算与网络系统负责人。主持和领导服务于包括北京正负电子对撞机/北京谱仪（BEPCII/BESIII）、大亚湾中微子实验（DayaBay）、江门中微子实验（JUNO）以及CSNS和HEPS的科学数据处理和分析平台及系统建设。2020年开始，提出并领导我国先进同步辐射光源和X射线自由电子激光领域的大型科学软件框架和系统研制工作，推动我国该领域的科学软件发展和共享利用。
    本文参与了文章总结结构设计，主笔撰写“国内战略规划”部分以及指导了“人工智能和高能物理人工智能平台”、“领域应用”部分撰写。
    QI Fazhi is the professor and the Leader of Computing Cen-ter of IHEP. And is also the Leader of the computing and comm-unication system of CSNS and HEPS projects. He is leading the data and computing platform design and building for many large science facilities in China, including BEPCII/BESIII, Dayabay, JUNO, CSNS, and HEPS. He has been working on the science data software framework and system research and development for advanced light sources area since 2020 to promote the science software development and sharing of the community.
    He participated in the structural design of this paper, was in charge of the part of “Domestic Strategic Planning”, and super-vised the parts of “Artificial Intelligence and High Energy Phy-sics Artificial Intelligence Platform” and “Field applications”.
    E-mail: qfz@ihep.ac.cn|陈刚，中国科学院高能物理研究所，研究员。1991-1994年参加由丁肇中教授领导的LEP对撞机上的L3实验，以及后来的阿尔法磁谱仪AMS实验，从事粒子物理研究。2003年开始从事计算机技术应用研究，在中国科学院高能物理研究所建设高能物理计算系统，为国内高能物理实验及国际合作提供数据和计算服务。2019年开始领导国家高能物理科学数据中心，推动高能物理科学数据共享利用。
    本文主要负责文章结构设计，内容组织和作者会议召集，负责文章整合和校对等。
    CHEN Gang is the professor and the Chair of Science Com-mittee of the IHEP. He joined L3 Experiment from 1991 to 1994. And then He joined the BESIII experiment and the AMS experiment. In 2003 he became the head of the Computing Center of IHEP and was in charge of building computing plat-form to support international and domestic high energy physics projects. In 2019 he became the director of National High Energy Physics Science Data Center (NHEPSDC) to promote the sci-ence data archive and sharing for the country.
    In this paper, he is responsible for design of the article stru-cture, organizing content, and convening author meetings. He is also responsible for integrating and proofreading the article.
    E-mail: Gang.Chen@ihep.ac.cn
  • 基金资助:
    本工作得到国家高能物理科学数据中心的支持

Big Data and AI for High Energy Physics

QI Fazhi(),LI Gang,LI Chun,WANG Lu,ZHANG Yi,ZHANG Zhengde,CHEN Gang*(),LUO Wuming,ZHAO Lina,HU Yu,YUAN Ye   

  1. The Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
  • Received:2023-02-13 Online:2023-04-20 Published:2023-04-24
  • Contact: CHEN Gang

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摘要：

【目的】高能物理的科学目标是探索物质微观结构以及相互作用的基本原理，这些研究均依赖于超大规模的高能物理实验装置。由高能物理加速器技术衍生出来的同步辐射光源、自由电子激光、散裂中子源装置成为材料科学、生物医学、环境科学、地质学、物理、化学等学科领域的基础和应用研究的不可替代的工具。新一代高能物理实验装置的规模和复杂度得到巨大的提升，实验产生的数据量出现数量级的增长。人工智能和大数据技术逐步成为应对高能物理装置运行以及数据处理挑战的有效工具，并带来科研范式的变革。【方法】本文讨论了高能物理在大数据方面的挑战、国内外大数据与AI在高能物理领域的应用现状。文章介绍了国内高能物理大数据与AI的战略部署和相关研究，同时介绍了一些应用示范案例。【结论】文章最后对大数据与AI带来的科研范式变革进行了讨论。

关键词: 高能物理, 同步辐射装置, 中子源, 大数据, 人工智能

Abstract:

[Objective] High energy physics is a field of science to explore the elementary constituents of matter, and the interactions between them. Most of the research relies on large experimental infrastructures. The technology developed by high energy physics helped to build useful experimental platforms including synchrotron radiation facilities, free electron laser, and spallation neutron sources which have become important tools of many branches of scientific research including material science, bio-medicine, environmental research, geology, physics, and chemistry. The new generation of high-energy physics creates unprecedented amounts of data which brings people big challenges to deal with. [Methods] In recent years big data and AI have been introduced to high energy physics to attack the challenges. In this work, the status of big data and AI for high energy physics are discussed. [Results] The research activities of big data and AI in the field are introduced.

Key words: high energy physics, synchrotron radiation facility, neutron source, big data, artificial intelligence