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

  • Yazar/lar KARASU UYSAL, Ayben
    ALICE Collaboration
  • Yayın Türü Makale
  • Yayın Tarihi 2019
  • DOI Numarası 10.1016/j.cpc.2019.04.011
  • Yayıncı ELSEVIER SCIENCE BV
  • Tek Biçim Adres http://hdl.handle.net/20.500.12498/4396

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. (C) 2019 Elsevier B.V. All rights reserved.

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Eser Adı
(dc.title)
Real-time data processing in the ALICE High Level Trigger at the LHC
Yayın Türü
(dc.type)
Makale
Yazar/lar
(dc.contributor.author)
KARASU UYSAL, Ayben
Yazar/lar
(dc.contributor.author)
ALICE Collaboration
DOI Numarası
(dc.identifier.doi)
10.1016/j.cpc.2019.04.011
Atıf Dizini
(dc.source.database)
Wos
Yayıncı
(dc.publisher)
ELSEVIER SCIENCE BV
Yayın Tarihi
(dc.date.issued)
2019
Kayıt Giriş Tarihi
(dc.date.accessioned)
2020-08-07T14:18:03Z
Açık Erişim tarihi
(dc.date.available)
2020-08-07T14:18:03Z
Kaynak
(dc.source)
COMPUTER PHYSICS COMMUNICATIONS
ISSN
(dc.identifier.issn)
0010-4655
Özet
(dc.description.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. (C) 2019 Elsevier B.V. All rights reserved.
Yayın Dili
(dc.language.iso)
en
Tek Biçim Adres
(dc.identifier.uri)
http://hdl.handle.net/20.500.12498/4396
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