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An FPGA Based Implementation for Real-Time Processing of the LHC Beam Loss Monitoring System's Data

机译:基于FPGA的LHC光束损失监测系统数据实时处理实现

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摘要

The strategy for machine protection and quench prevention of the Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN) is mainly based on the Beam Loss Monitoring (BLM) system. At each turn, there will be several thousands of data to record and process in order to decide if the beams should be permitted to continue circulating or their safe extraction is necessary to be triggered. The processing involves a proper analysis of the loss pattern in time and for the decision the energy of the beam needs to be accounted. This complexity needs to be minimized by all means to maximize the reliability of the BLM system and allow a feasible implementation. In this paper, a field programmable gate array (FPGA) based implementation is explored for the real-time processing of the LHC BLM data. It gives emphasis on the highly efficient Successive Running Sums (SRS) technique used that allows many and long integration periods to be maintained for each detector's data with relatively small length shift registers that can be built around the embedded memory blocks.
机译:欧洲核研究组织(CERN)的大型强子对撞机(LHC)的机器保护和防淬火策略主要基于光束损失监测(BLM)系统。在每个转弯处,将记录和处理数千个数据,以确定是否应允许光束继续循环或是否需要触发其安全提取。该处理涉及及时对损耗模式进行适当的分析,并且为了做出决定,需要考虑光束的能量。必须通过各种方式使这种复杂性最小化,以使BLM系统的可靠性最大化并允许可行的实现。在本文中,探索了一种基于现场可编程门阵列(FPGA)的实现,用于LHC BLM数据的实时处理。它着重介绍了所使用的高效连续运行求和(SRS)技术,该技术允许使用可围绕嵌入式存储模块构建的相对较小长度的移位寄存器为每个检测器的数据维持许多长的积分周期。

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