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Reconstruction of track candidates at the LHC crossing rate using FPGAs

In 2021 the LHCb experiment will be upgraded, and the DAQ system will be based on full reconstruction of events, at the full LHC crossing rate. This requires an entirely new system, capable of reading out, building and reconstructing events at an average rate of 30 MHz. In facing this challenge, the...

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Detalles Bibliográficos
Autores principales: Tuci, Giulia, Punzi, Giovanni
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/202024510001
http://cds.cern.ch/record/2752942
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author Tuci, Giulia
Punzi, Giovanni
author_facet Tuci, Giulia
Punzi, Giovanni
author_sort Tuci, Giulia
collection CERN
description In 2021 the LHCb experiment will be upgraded, and the DAQ system will be based on full reconstruction of events, at the full LHC crossing rate. This requires an entirely new system, capable of reading out, building and reconstructing events at an average rate of 30 MHz. In facing this challenge, the system could take advantage of a fast pre-processing of data on dedicated FPGAs. The results of an R&D; on these technologies, developed in the context of the LHCb Upgrade I, are presented in this document. In particular, the details and potential benefits of an approach based on producing in real-time sorted collections of hits in the VELO detector (pre-tracks) are discussed. These pre-processed data can then be used as seeds by the High Level Trigger (HLT) farm to find tracks for the Level 1 trigger with much lower computational effort than possible by starting from the raw detector data, thus freeing an important fraction of the power of the CPU farm for higher level processing tasks.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
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spelling oai-inspirehep.net-18321522021-03-01T20:16:23Zdoi:10.1051/epjconf/202024510001http://cds.cern.ch/record/2752942engTuci, GiuliaPunzi, GiovanniReconstruction of track candidates at the LHC crossing rate using FPGAsComputing and ComputersIn 2021 the LHCb experiment will be upgraded, and the DAQ system will be based on full reconstruction of events, at the full LHC crossing rate. This requires an entirely new system, capable of reading out, building and reconstructing events at an average rate of 30 MHz. In facing this challenge, the system could take advantage of a fast pre-processing of data on dedicated FPGAs. The results of an R&D; on these technologies, developed in the context of the LHCb Upgrade I, are presented in this document. In particular, the details and potential benefits of an approach based on producing in real-time sorted collections of hits in the VELO detector (pre-tracks) are discussed. These pre-processed data can then be used as seeds by the High Level Trigger (HLT) farm to find tracks for the Level 1 trigger with much lower computational effort than possible by starting from the raw detector data, thus freeing an important fraction of the power of the CPU farm for higher level processing tasks.oai:inspirehep.net:18321522020
spellingShingle Computing and Computers
Tuci, Giulia
Punzi, Giovanni
Reconstruction of track candidates at the LHC crossing rate using FPGAs
title Reconstruction of track candidates at the LHC crossing rate using FPGAs
title_full Reconstruction of track candidates at the LHC crossing rate using FPGAs
title_fullStr Reconstruction of track candidates at the LHC crossing rate using FPGAs
title_full_unstemmed Reconstruction of track candidates at the LHC crossing rate using FPGAs
title_short Reconstruction of track candidates at the LHC crossing rate using FPGAs
title_sort reconstruction of track candidates at the lhc crossing rate using fpgas
topic Computing and Computers
url https://dx.doi.org/10.1051/epjconf/202024510001
http://cds.cern.ch/record/2752942
work_keys_str_mv AT tucigiulia reconstructionoftrackcandidatesatthelhccrossingrateusingfpgas
AT punzigiovanni reconstructionoftrackcandidatesatthelhccrossingrateusingfpgas