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

• Titel: Fast b-tagging at the high-level trigger of the ATLAS experiment in LHC Run 3
• Mitwirkende: Aad, Georges [VerfasserIn]
• Mitwirkende: Baltes, Lisa Marie [VerfasserIn]
• Mitwirkende: Bartels, Falk [VerfasserIn]
• Mitwirkende: Czurylo, Marta [VerfasserIn]
• Mitwirkende: Rio, Fernando del [VerfasserIn]
• Mitwirkende: Dittmeier, Sebastian [VerfasserIn]
• Mitwirkende: Dunford, Monica [VerfasserIn]
• Mitwirkende: Franchino, Silvia [VerfasserIn]
• Mitwirkende: Junkermann, Thomas [VerfasserIn]
• Mitwirkende: Klassen, Martin [VerfasserIn]
• Mitwirkende: Mkrtchyan, Tigran [VerfasserIn]
• Mitwirkende: Ott, Philipp [VerfasserIn]
• Mitwirkende: Rassloff, Damir Fabrice [VerfasserIn]
• Mitwirkende: Rodriguez Bosca, Sergi [VerfasserIn]
• Mitwirkende: Sauer, Christof [VerfasserIn]
• Mitwirkende: Schöning, André [VerfasserIn]
• Mitwirkende: Schultz-Coulon, Hans-Christian [VerfasserIn]
• Mitwirkende: Sothilingam, Varsiha [VerfasserIn]
• Mitwirkende: Stamen, Rainer [VerfasserIn]
• Mitwirkende: Starovoitov, Pavel [VerfasserIn]
• Mitwirkende: Vigani, Luigi [VerfasserIn]
• Mitwirkende: Weber, Sebastian [VerfasserIn]
• Mitwirkende: Wessels, Martin [VerfasserIn]
• Mitwirkende: Zinßer, Joachim [VerfasserIn]
• Körperschaft: ATLAS Collaboration [VerfasserIn]
• Verf.angabe: The ATLAS collaboration*
• E-Jahr: 2023
• Jahr: November 2023
• Umfang: 38 S.
• Illustrationen: Illustrationen
• Fussnoten: 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
• Titel Quelle: Enthalten in: Journal of Instrumentation
• Ort Quelle: London : Inst. of Physics, 2006
• Jahr Quelle: 2023
• Band/Heft Quelle: 18(2023), 11 vom: Nov., Artikel-ID P11006, Seite 1-38
• ISSN Quelle: 1748-0221
• DOI: doi:10.1088/1748-0221/18/11/P11006
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1929688563

Abstract

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%.