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Fast b-tagging at the high-level trigger of the ATLAS experiment in LHC Run 3

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The ATLAS experiment relies on real-time hadronic jet reconstruction and b-tagging to record fully hadronic events containing b-jets. These algorithms require track reconstruction, which is computationally expensive and could overwhelm the high-level-trigger farm, even at the reduced event rate that...

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Hauptverfasser: Aad, Georges (VerfasserIn) , Baltes, Lisa Marie (VerfasserIn) , Bartels, Falk (VerfasserIn) , Czurylo, Marta (VerfasserIn) , Rio, Fernando del (VerfasserIn) , Dittmeier, Sebastian (VerfasserIn) , Dunford, Monica (VerfasserIn) , Franchino, Silvia (VerfasserIn) , Junkermann, Thomas (VerfasserIn) , Klassen, Martin (VerfasserIn) , Mkrtchyan, Tigran (VerfasserIn) , Ott, Philipp (VerfasserIn) , Rassloff, Damir Fabrice (VerfasserIn) , Rodriguez Bosca, Sergi (VerfasserIn) , Sauer, Christof (VerfasserIn) , Schöning, André (VerfasserIn) , Schultz-Coulon, Hans-Christian (VerfasserIn) , Sothilingam, Varsiha (VerfasserIn) , Stamen, Rainer (VerfasserIn) , Starovoitov, Pavel (VerfasserIn) , Vigani, Luigi (VerfasserIn) , Weber, Sebastian (VerfasserIn) , Wessels, Martin (VerfasserIn) , Zinßer, Joachim (VerfasserIn)
Körperschaft: ATLAS Collaboration (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: November 2023
In: Journal of Instrumentation
Year: 2023, Jahrgang: 18, Heft: 11, Pages: 1-38
ISSN:1748-0221
DOI:10.1088/1748-0221/18/11/P11006
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1088/1748-0221/18/11/P11006
Verlag, kostenfrei, Volltext: https://dx.doi.org/10.1088/1748-0221/18/11/P11006
Volltext
Verfasserangaben:The ATLAS collaboration*
Beschreibung
Zusammenfassung:The ATLAS experiment relies on real-time hadronic jet reconstruction and b-tagging to record fully hadronic events containing b-jets. These algorithms require track reconstruction, which is computationally expensive and could overwhelm the high-level-trigger farm, even at the reduced event rate that passes the ATLAS first stage hardware-based trigger. In LHC Run 3, ATLAS has mitigated these computational demands by introducing a fast neural-network-based b-tagger, which acts as a low-precision filter using input from hadronic jets and tracks. It runs after a hardware trigger and before the remaining high-level-trigger reconstruction. This design relies on the negligible cost of neural-network inference as compared to track reconstruction, and the cost reduction from limiting tracking to specific regions of the detector. In the case of Standard Model HH → bb̅bb̅, a key signature relying on b-jet triggers, the filter lowers the input rate to the remaining high-level trigger by a factor of five at the small cost of reducing the overall signal efficiency by roughly 2%.
Beschreibung:Veröffentlicht: 10. November 2023
*The ATLAS collaboration: G. Aad, L.M. Baltes, F. Bartels, M.M. Czurylo, F. Del Rio, S.J. Dittmeier, M. Dunford, S. Franchino, T. Junkermann, M. Klassen, T. Mkrtchyan, P.S. Ott, D.F. Rassloff, S. Rodriguez Bosca, C. Sauer, A. Schoening, H.-C. Schultz-Coulon, V. Sothilingam, R. Stamen, P. Starovoitov, L. Vigani, S.M. Weber, M. Wessels, J. Zinsser [und 2909 weitere Personen]
Gesehen am 03.07.2025
Beschreibung:Online Resource
ISSN:1748-0221
DOI:10.1088/1748-0221/18/11/P11006

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