在TeV尺度上运行的ATLAS数据采集系统概述

C. Borer
{"title":"在TeV尺度上运行的ATLAS数据采集系统概述","authors":"C. Borer","doi":"10.1109/RTC.2010.5750347","DOIUrl":null,"url":null,"abstract":"This paper focuses on the operation of the ATLAS data acquisition system during the first months of 2010. ATLAS is one of the two multipurpose detectors at the Large Hadron Collider (LHC), which provides proton-proton collisions at the unprecedented centre-of-mass energy of 7 TeV. The ATLAS data acquisition system is based on O(2k) processing nodes, interconnected by a multi-layer Gigabit Ethernet network. About 20k applications will provide the needed capabilities in terms of run control, event selection, data flow, local storage and data monitoring. The whole data acquisition system has been successfully commissioned during the last two years with cosmic ray and calibration data and it turned out to be robust and reliable. Nevertheless, the continuous operation with beams, the concurrent trigger commissioning, and the understanding of detector and physics performance will pose new challenges. The flexibility of the data acquisition infrastructure will be probed and exploited, in order to comply with the consequent unpredictable working conditions in terms of data-flow, monitoring and configuration requirements. Concerning the latter in particular, the data acquisition efficiency will have to be kept under control, profiting by the special tools and techniques especially put in place. The goal is to minimise both downtime and dead-time, allowing for runtime reconfiguration of the data acquisition and sub-detectors systems as well as for automatic error handling and recovery.","PeriodicalId":345878,"journal":{"name":"2010 17th IEEE-NPSS Real Time Conference","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Overview of the ATLAS data acquisition system operating at the TeV scale\",\"authors\":\"C. Borer\",\"doi\":\"10.1109/RTC.2010.5750347\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on the operation of the ATLAS data acquisition system during the first months of 2010. ATLAS is one of the two multipurpose detectors at the Large Hadron Collider (LHC), which provides proton-proton collisions at the unprecedented centre-of-mass energy of 7 TeV. The ATLAS data acquisition system is based on O(2k) processing nodes, interconnected by a multi-layer Gigabit Ethernet network. About 20k applications will provide the needed capabilities in terms of run control, event selection, data flow, local storage and data monitoring. The whole data acquisition system has been successfully commissioned during the last two years with cosmic ray and calibration data and it turned out to be robust and reliable. Nevertheless, the continuous operation with beams, the concurrent trigger commissioning, and the understanding of detector and physics performance will pose new challenges. The flexibility of the data acquisition infrastructure will be probed and exploited, in order to comply with the consequent unpredictable working conditions in terms of data-flow, monitoring and configuration requirements. Concerning the latter in particular, the data acquisition efficiency will have to be kept under control, profiting by the special tools and techniques especially put in place. The goal is to minimise both downtime and dead-time, allowing for runtime reconfiguration of the data acquisition and sub-detectors systems as well as for automatic error handling and recovery.\",\"PeriodicalId\":345878,\"journal\":{\"name\":\"2010 17th IEEE-NPSS Real Time Conference\",\"volume\":\"109 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 17th IEEE-NPSS Real Time Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTC.2010.5750347\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 17th IEEE-NPSS Real Time Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTC.2010.5750347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

本文主要介绍了ATLAS数据采集系统在2010年前几个月的运行情况。ATLAS是大型强子对撞机(LHC)的两个多用途探测器之一,它提供前所未有的7 TeV质心能量的质子-质子碰撞。ATLAS数据采集系统基于0 (2k)个处理节点,通过多层千兆以太网相互连接。大约20,000个应用程序将提供运行控制、事件选择、数据流、本地存储和数据监控方面所需的功能。在过去的两年中,整个数据采集系统已经成功地使用了宇宙射线和校准数据,证明了系统的鲁棒性和可靠性。然而,光束的连续运行、同步触发调试以及对探测器和物理性能的理解将带来新的挑战。将探索和利用数据采集基础设施的灵活性,以便在数据流、监控和配置要求方面满足随之而来的不可预测的工作条件。特别是关于后者,必须控制数据获取的效率,并利用特别采用的特殊工具和技术。目标是最大限度地减少停机时间和停机时间,允许运行时重新配置数据采集和子探测器系统,以及自动错误处理和恢复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overview of the ATLAS data acquisition system operating at the TeV scale
This paper focuses on the operation of the ATLAS data acquisition system during the first months of 2010. ATLAS is one of the two multipurpose detectors at the Large Hadron Collider (LHC), which provides proton-proton collisions at the unprecedented centre-of-mass energy of 7 TeV. The ATLAS data acquisition system is based on O(2k) processing nodes, interconnected by a multi-layer Gigabit Ethernet network. About 20k applications will provide the needed capabilities in terms of run control, event selection, data flow, local storage and data monitoring. The whole data acquisition system has been successfully commissioned during the last two years with cosmic ray and calibration data and it turned out to be robust and reliable. Nevertheless, the continuous operation with beams, the concurrent trigger commissioning, and the understanding of detector and physics performance will pose new challenges. The flexibility of the data acquisition infrastructure will be probed and exploited, in order to comply with the consequent unpredictable working conditions in terms of data-flow, monitoring and configuration requirements. Concerning the latter in particular, the data acquisition efficiency will have to be kept under control, profiting by the special tools and techniques especially put in place. The goal is to minimise both downtime and dead-time, allowing for runtime reconfiguration of the data acquisition and sub-detectors systems as well as for automatic error handling and recovery.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信