Connecting the universe: Bringing Real Time Analysis to Particle Physics and Astronomy

连接宇宙：将实时分析引入粒子物理学和天文学

• 批准号: MR/S016791/1
• 负责人: Conor Fitzpatrick
• 金额: $ 158.56万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FS016791%2F1
• 关键词: Connecting; universe; Bringing; Real; Time

The universe in which we live, everything we can touch, right down to the smallest components we can measure, is madeof matter. This may seem like an obvious statement, but at the beginning of the universe, we know that both matter, and itsmirror opposite antimatter were created in equal amounts. This raises the question: 'Where has all the antimatter gone?'In order to answer this and other fundamental questions about our universe, the fields of particle physics and astronomy are building some of the largest machines in the world. The Square Kilometer Array will be one of the largest and most precise telescopes, looking up at our universe, while the Large Hadron Collider and its HL-LHC upgrade will be the largest and most precise microscope, looking down at the smallest particles. Both of these machines need to process vast amounts of data, as quickly as it is produced, deciding which parts of the data are interesting to keep and which can be ignored. This is a major challenge, needing powerful computers to make decisions faster than ever before. The proposal develops new ways for these decisions to be made and monitored at the Square Kilometer Array and the Large Hadron Collider beauty experiment, to squeeze as much useful information as possible out of these machines in the hunt for new physics that reconciles particle physics and cosmology.

我们生活的宇宙，我们能触摸到的一切，从我们能测量到的最小的成分，都是由物质组成的。这似乎是一个显而易见的论断，但在宇宙诞生之初，我们就知道物质和反物质的能量是相等的。这就引出了一个问题：反物质都到哪里去了？为了回答这个问题和其他有关我们宇宙的基本问题，粒子物理和天文学领域正在建造一些世界上最大的机器。平方公里阵列将是最大、最精确的望远镜之一，可以俯瞰我们的宇宙，而大型强子对撞机及其HL-LHC升级将是最大、最精确的显微镜，可以俯瞰最小的粒子。这两台机器都需要处理海量数据，以产生数据的速度来决定哪些数据部分值得保留，哪些数据可以忽略。这是一个重大挑战，需要功能强大的计算机比以往任何时候都更快地做出决策。该提案为在平方公里阵列和大型强子对撞机美容实验中做出和监测这些决定开发了新的方法，以便从这些机器中尽可能多地提取有用的信息，以寻找协调粒子物理学和宇宙学的新物理。

项目成果

A Comparison of CPU and GPU Implementations for the LHCb Experiment Run 3 Trigger

LHCb 实验运行 3 触发器的 CPU 和 GPU 实现比较

• DOI: 10.1007/s41781-021-00070-2
• 发表时间: 2021
• 期刊: Computing and Software for Big Science
• 作者: Aaij R

A comprehensive real-time analysis model at the LHCb experiment

• DOI: 10.1088/1748-0221/14/04/p04006
• 发表时间: 2019-03
• 期刊: Journal of Instrumentation
• 影响因子: 1.3
• 作者: R. Aaij;S. Benson;S. Neubert;E. Govorkova;O. Lupton;M. Vesterinen;R. Matev;C. Fitzpatrick;H. Schreiner;A. Pearce;M. Cian;A. Dziurda;S. Stahl

Design and performance of the LHCb trigger and full real-time reconstruction in Run 2 of the LHC

• DOI: 10.1088/1748-0221/14/04/p04013
• 发表时间: 2019-04-01
• 期刊: JOURNAL OF INSTRUMENTATION
• 影响因子: 1.3
• 作者: Aaij, R.;Akar, S.;Zhou, Y.
• 通讯作者: Zhou, Y.