A1 Journal article (refereed)
Real-time data processing in the ALICE High Level Trigger at the LHC (2019)
ALICE Collaboration. (2019). Real-time data processing in the ALICE High Level Trigger at the LHC. Computer Physics Communications, 242, 25-48. https://doi.org/10.1016/j.cpc.2019.04.011
JYU authors or editors
Publication details
All authors or editors: ALICE Collaboration
Journal or series: Computer Physics Communications
ISSN: 0010-4655
eISSN: 1879-2944
Publication year: 2019
Volume: 242
Pages range: 25-48
Publisher: Elsevier
Publication country: Netherlands
Publication language: English
DOI: https://doi.org/10.1016/j.cpc.2019.04.011
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/67004
Abstract
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.
Keywords: particle physics; research equipment; detectors; signal processing; data
Free keywords: FPGA; GPU
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2019
JUFO rating: 1