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arXiv 2401.13484hep-ex
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SMARTHEP欧洲培训网络

The SMARTHEP European Training Network

James Andrew Gooding, Leon Bozianu, Carlos Cocha Toapaxi, Pratik Jawahar, Micol Olocco

AI总结:

本文介绍欧洲SMARTHEP培训网络,其汇聚多领域专家培养早期研究者,通过推进实时分析技术应用助力高能物理发现与工业发展,并公布培训外展计划以寻求合作反馈。

摘要:

“机器学习、实时分析与混合架构协同实现高效事件处理与决策”(SMARTHEP)是一个欧洲培训网络,旨在培养新一代早期研究者(ESRs),以推进实时决策技术,推动数据收集与分析实现同质化发展。SMARTHEP汇聚了来自大型强子对撞机(LHC)主要合作组的实时分析(RTA)前沿科学家,以及计算机科学和工业领域的核心专家。通过以社区形式解决具体问题,SMARTHEP将推动RTA技术的应用,助力未来高能物理(HEP)发现,并在工业领域产生影响。早期研究者们将凭借在机器学习和加速器领域的实践经验,为欧洲增长贡献力量,在交通、制造、金融等最能从RTA中获益的领域产出商业成果。本文介绍了该网络的培训与外展计划,旨在为CHEP社区提供进一步合作与反馈的契机。

英文摘要:

Synergies between MAchine learning, Real-Time analysis and Hybrid architectures for efficient Event Processing and decision-making (SMARTHEP) is a European Training Network, training a new generation of Early Stage Researchers (ESRs) to advance real-time decision-making, driving data-collection and analysis towards synonymity. SMARTHEP brings together scientists from major LHC collaborations at the frontiers of real-time analysis (RTA) and key specialists from computer science and industry. By solving concrete problems as a community, SMARTHEP will further the adoption of RTA techniques, enabling future High Energy Physics (HEP) discoveries and generating impact in industry. ESRs will contribute to European growth, leveraging their hands-on experience in machine learning and accelerators towards commercial deliverables in fields that can profit most from RTA, e.g., transport, manufacturing, and finance. This contribution presents the training and outreach plan for the network, and is intended as an opportunity for further collaboration and feedback from the CHEP community.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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