D. Bonacorsi, V. Kuznetsov, L. Giommi, T. Diotalevi, J. Vlimant, D. Abercrombie, C. Contreras, A. Repecka, Ž. Matonis, K. Kančys
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引用次数: 1
摘要
机器和深度学习技术被用于大型强子对撞机CMS操作的各个领域，如数据采集、监测、处理和物理分析。回顾几个选定的用例，重点关注CMS软件和计算，展示了该领域的进展，重点介绍了最新的发展，以及对LHC Run III和高亮度LHC阶段未来应用的展望。
Progress on Machine and Deep Learning applications in CMS Computing
Machine and Deep Learning techniques are being used in various areas of CMS operations at the LHC collider, like data taking, monitoring, processing and physics analysis. A review a few selected use cases - with focus on CMS software and computing - shows the progress in the field, with highlight on most recent developments, as well as an outlook to future applications in LHC Run III and towards the High-Luminosity LHC phase.
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