Overview of the ATLAS data acquisition system operating at the TeV scale

C. Borer
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引用次数: 2

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.
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在TeV尺度上运行的ATLAS数据采集系统概述
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。
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Commissioning of the ATLAS High Level Trigger with proton collisions at the LHC Development of efficient FPGA-based phase meters for IR-interferometers. optimizations for multi-channel interferometers Real-time control of Extremely Large Telescope mirror systems using on-line high performance computing Developments for the PANDA online high level trigger Commissioning the trigger of the Compact Muon Solenoid experiment at the CERN Large Hadron Collider
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