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Data handling in the Alice O2 event processing

  • The ALICE experiment at the Large Hadron Collider (LHC) at CERN is planned to be operated in a continuous data-taking mode in Run 3. This will allow to inspect data from all Pb-Pb collisions at a rate of 50 kHz, giving access to rare physics signals embedded in a large background. Based on experience with real-time reconstruction of particle trajectories and event properties in the ALICE High Level Trigger, the ALICE O2 facility is currently designed and developed to support processing of a continuous, triggerless stream of data segmented into entities referred to as timeframes. Both raw data input into the ALICE O2 system and the actual processing of aggregated timeframes are distributed among multiple processes on a manynode cluster. Process communication is based on the asynchronous message passing paradigm. This paper presents the basic concept for identification of data in the distributed system together with prototype implementations and performance measurements.

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Author:Matthias Richter, Mikolaj Krzewicki, Giulio Eulisse
URN:urn:nbn:de:hebis:30:3-718114
DOI:https://doi.org/10.1051/epjconf/201921401035
ISSN:2100-014X
Parent Title (English):EPJ Web of Conferences
Publisher:EDP Sciences
Place of publication:Les Ulis
Document Type:Article
Language:English
Date of Publication (online):2019/09/17
Date of first Publication:2019/09/17
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Contributing Corporation:International Conference on Computing in High Energy and Nuclear Physics (23. : 2018 : Sofia)
Release Date:2023/01/31
Volume:214
Issue:01035
Page Number:8
HeBIS-PPN:505761882
Institutes:Physik / Physik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0