Real-time data processing in the ALICE High Level Trigger at the LHC

Real-time data processing in the ALICE High Level Trigger at the LHC
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LHC 的 ALICE 高电平触发器中的实时数据处理

DOI:
10.1016/j.cpc.2019.04.011
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发表时间:
2019
影响因子:
6.3
通讯作者:
T. Chujo et al. (ALICE Collaboration)
T. Chujo et al. (ALICE Collaboration)
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
S. Acharya;T. Chujo et al. (ALICE Collaboration)

文献摘要

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在瑞士日内瓦欧洲核子研究中心的大型强子对撞机上,原子核以超相对论能量进行碰撞。在每次碰撞中产生许多末态粒子,它们的性质由ALICE探测器测量。由所产生的粒子引起的检测器信号被数字化,从而导致超过48 GB/s的数据速率。ALICE高电平触发器(HLT)系统率先使用基于FPGA和GPU的算法来重建带电粒子轨迹,并在真实的时间内减少数据大小。碰撞事件的重建结果可在线获得,用于高水平的数据质量和探测器性能监测以及实时的随时间变化的探测器校准。ALICE HLT中开发和使用的在线数据压缩技术使可存储用于离线事件处理的数据量增加了四倍以上。
At the Large Hadron Collider at CERN in Geneva, Switzerland, atomic nuclei are collided at ultra-relativistic energies. Many final-state particles are produced in each collision and their properties are measured by the ALICE detector. The detector signals induced by the produced particles are digitized leading to data rates that are in excess of 48 GB/s. The ALICE High Level Trigger (HLT) system pioneered the use of FPGA- and GPU-based algorithms to reconstruct charged-particle trajectories and reduce the data size in real time. The results of the reconstruction of the collision events, available online, are used for high level data quality and detector-performance monitoring and real-time time-dependent detector calibration. The online data compression techniques developed and used in the ALICE HLT have more than quadrupled the amount of data that can be stored for offline event processing.