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The high-rate data challenge: computing for the CBM experiment

CBM Collaboration; Friese, V.; Bähr, Steffen; Balzer, Matthias; Becker, Jürgen; Blank, Thomas; Caselle, Michele; Sidorenko, Vladimir; Trifonova, Ekatarina; Unger, Kai Lukas; Weber, Marc

Abstract:
The Compressed Baryonic Matter experiment (CBM) is a next-generation heavy-ion experiment to be operated at the FAIR facility, currently under construction in Darmstadt, Germany. A key feature of CBM is very high interaction rate, exceeding those of contemporary nuclear collision experiments by several orders of magnitude. Such interaction rates forbid a conventional, hardware-triggered readout; instead, experiment data will be freely streaming from self-triggered front-end electronics. In order to reduce the huge raw data volume to a recordable rate, data will be selected exclusively on CPU, which necessitates partial event reconstruction in real-time. Consequently, the traditional segregation of online and offline software vanishes; an integrated on- and offline data processing concept is called for. In this paper, we will report on concepts and developments for computing for CBM as well as on the status of preparations for its first physics run.


Verlagsausgabe §
DOI: 10.5445/IR/1000139911
Veröffentlicht am 12.11.2021
Originalveröffentlichung
DOI: 10.1088/1742-6596/898/11/112003
Scopus
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Institut für Technik der Informationsverarbeitung (ITIV)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 10.2017
Sprache Englisch
Identifikator ISSN: 1742-6588, 1742-6596
KITopen-ID: 1000139911
HGF-Programm 54.02.03 (POF III, LK 01) ASICs und Integrationstechnologien
Erschienen in Journal of Physics: Conference Series
Verlag IOP Publishing
Band 898
Seiten Art.-Nr. 112003
Nachgewiesen in Scopus
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