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Fast b-tagging at the high-level trigger of the ATLAS experiment in LHC Run 3
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SYSNO ASEP 0583128 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Fast b-tagging at the high-level trigger of the ATLAS experiment in LHC Run 3 Author(s) Aad, G. (FR)
Abbott, B. (US)
Abeling, K. (DE)
Chudoba, Jiří (FZU-D) RID, ORCID
Federičová, Pavla (FZU-D) ORCID
Hejbal, Jiří (FZU-D) RID, ORCID
Jačka, Petr (FZU-D) ORCID
Kepka, Oldřich (FZU-D) RID, ORCID
Kroll, Jiří (FZU-D) ORCID
Kupčo, Alexander (FZU-D) RID, ORCID
Latoňová, Věra (FZU-D) ORCID
Lokajíček, Miloš (FZU-D) RID, ORCID
Lysák, Roman (FZU-D) RID, ORCID
Marčišovský, Michal (FZU-D) RID, ORCID
Mikeštíková, Marcela (FZU-D) RID, ORCID
Němeček, Stanislav (FZU-D) RID, ORCID
Šícho, Petr (FZU-D) RID, ORCID
Staroba, Pavel (FZU-D) RID, ORCID
Svatoš, Michal (FZU-D) RID, ORCID
Taševský, Marek (FZU-D) RID, ORCIDNumber of authors 2900 Article number P11006 Source Title Journal of Instrumentation. - : Institute of Physics Publishing - ISSN 1748-0221
Roč. 18, č. 11 (2023)Number of pages 37 s. Language eng - English Country US - United States Keywords trigger algorithms ; trigger concepts and systems (hardware and software) ; p p: scattering Subject RIV BF - Elementary Particles and High Energy Physics OECD category Particles and field physics R&D Projects LM2023040 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Open access Institutional support FZU-D - RVO:68378271 UT WOS 001123791900004 EID SCOPUS 85180406982 DOI 10.1088/1748-0221/18/11/P11006 Annotation The ATLAS experiment relies on real-time hadronic jetreconstruction and b-tagging to record fully hadronic eventscontaining b-jets. These algorithms require track reconstruction,which is computationally expensive and could overwhelm thehigh-level-trigger farm, even at the reduced event rate that passesthe ATLAS first stage hardware-based trigger. In LHC Run 3, ATLAShas mitigated these computational demands by introducing a fastneural-network-based b-tagger, which acts as a low-precisionfilter using input from hadronic jets and tracks. It runs after ahardware trigger and before the remaining high-level-triggerreconstruction. This design relies on the negligible cost ofneural-network inference as compared to track reconstruction, andthe cost reduction from limiting tracking to specific regions of thedetector. Workplace Institute of Physics Contact Kristina Potocká, potocka@fzu.cz, Tel.: 220 318 579 Year of Publishing 2024 Electronic address https://hdl.handle.net/11104/0351119
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