大型强子对撞机中基于束流反馈的监测系统

D. Alves, S. Jackson, I. Rodis
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引用次数: 2

摘要

大型强子对撞机中基于光束的反馈系统是欧洲核子研究中心加速器综合体中最复杂的系统之一。它是大型强子对撞机运行必不可少的系统,通常用于同时控制束流轨道、机器调谐和调节束流能量的径向环。该系统处理超过2000个测量输入,并控制超过1000个超导偶极子校正磁铁的电流,超过200个四极子校正磁铁以及用于产生加速粒子束的电场的射频频率。最近,一个新的团队负责维护、记录和升级软件,以满足lhc第二次运行的要求。该团队确定了几个要求:1)收集测量数据到达的相对偏移量的统计数据,2)以用户友好的方式检查RT I/O, 3)显示输入数据的同步和内容的汇总状态信息,4)在调试和操作期间以非侵入式方式(即不损害反馈系统的实时行为)快速诊断反馈问题。本文记录了LHC基于光束反馈系统的监测套件的设计、集成和使用。该装置包括一个基于fesa (CERN开发的实时系统框架)的实时服务器和一个集成到CERN操作软件基础设施中的基于javafx的图形界面。具体的例子给出了该系统如何有助于更好地理解整体反馈行为和帮助诊断操作问题。本文还将总结未来版本的设想需求。
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A monitoring system for the beam-based feedbacks in the LHC
The system for the beam-based feedbacks in the LHC is one of the most complex in CERN's accelerator complex. It is an essential system for the operation of the LHC and is routinely used to simultaneously control the beam orbit, machine tune, and radial-loop adjusting the beam energy. The system handles the input of over 2'000 measurements, and controls the current in over 1'000 superconducting dipole correction magnets, over 200 quadrupole correction magnets as well as the RF frequency used to generate the electric field accelerating the particle beams. Recently, a new team was charged with maintaining, documenting and upgrading the software in order to meet the requirements for LHCs 2nd run. The team identified several requirements: 1) gather statistics on the relative offsets of the arrival of measurement data, 2) inspect RT I/O in a user-friendly way, 3) display summarized status information on the synchronism and content of the input data, 4) have the means to rapidly diagnose problems with the feedbacks during commissioning and operation in a non-intrusive way (i.e. without compromising the feedback systems real-time behavior). This paper documents the design, integration and use of the resulting monitoring suite for the LHC beam-based feedback systems. The set-up comprises a FESA-based (framework for real-time systems developed at CERN) real-time server and a JavaFX-based graphical interface integrated into CERNs operational software infrastructure. Concrete examples are given on how this system has contributed to a better understanding of the overall feedback behavior and aided in diagnosing operational problems. The paper will also summarize envisaged requirements for future releases.
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