Facini, G;
Abbott, B;
Abeling, K;
Abicht, NJ;
Abidi, SH;
Aboulhorma, A;
Abramowicz, H;
... ATLAS Collaboration; + view all
(2023)
Fast b-tagging at the high-level trigger of the ATLAS experiment in LHC Run 3.
Journal of Instrumentation
, 18
, Article P11006. 10.1088/1748-0221/18/11/p11006.
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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%.
| Type: | Article |
|---|---|
| Title: | Fast b-tagging at the high-level trigger of the ATLAS experiment in LHC Run 3 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1088/1748-0221/18/11/p11006 |
| Publisher version: | https://doi.org/10.1088/1748-0221/18/11/P11006 |
| Language: | English |
| Additional information: | Copyright © 2023 CERN for the benefit of the ATLAS collaboration. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence, https://creativecommons.org/licenses/by/4.0/. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
| Keywords: | Trigger algorithms; Trigger concepts and systems (hardware and software) |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10181889 |
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