TY  - JOUR
AU  - ATLAS Collaboration (Aad, G. et al
AU  - Akiot, A.
AU  - Amos, K. R.
AU  - Aparisi Pozo, J. A.
AU  - Bailey, A. J.
AU  - Bouchhar, N.
AU  - Cabrera Urban, S.
AU  - Cantero, J.
AU  - Cardillo, F.
AU  - Castillo Gimenez, V.
AU  - Chitishvili, M.
AU  - Costa, M. J.
AU  - Didenko
AU  - Escobar, C.
AU  - Fiorini, L.
AU  - Fullana Torregrosa, E.
AU  - Fuster, J.
AU  - Garcia, C.
AU  - Garcia Navarro, J. E.
AU  - Gomez Delegido, A. J.
AU  - Gonzalez de la Hoz, S.
AU  - Gonzalvo Rodriguez, G. R.
AU  - Guerrero Rojas, J. G. R.
AU  - Lacasta, C.
AU  - Marti-Garcia, S.
AU  - Martinez Agullo, P.
AU  - Miralles Lopez, M.
AU  - Mitsou, V. A.
AU  - Monsonis Romero, L.
AU  - Moreno Llacer, M.
AU  - Munoz Perez, D.
AU  - Navarro-Gonzalez, J.
AU  - Poveda, J.
AU  - Prades Ibañez, A.
AU  - Rubio Jimenez, A.
AU  - Ruiz-Martinez, A.
AU  - Sabatini, P.
AU  - Salt, J.
AU  - Sanchez Sebastian, V.
AU  - Sayago Galvan, I.
AU  - Senthilkumar, V.
AU  - Soldevila, U.
AU  - Sanchez, J.
AU  - Torro Pastor, E.
AU  - Valero, A.
AU  - Valiente Moreno, E.
AU  - Valls Ferrer, J. A.
AU  - Varriale, L.
AU  - Villaplana Perez, M.
AU  - Vos, M.
PY  - 2023
DA  - 2023//
TI  - Fast b-tagging at the high-level trigger of the ATLAS experiment in LHC Run 3
T2  - J. Instrum.
JO  - Journal of Instrumentation
SP  - P11006 - 38pp
VL  - 18
IS  - 11
PB  - IOP Publishing Ltd
KW  - Trigger algorithms
KW  - Trigger concepts and systems (hardware and software)
AB  - 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 -> b (b) over barb (b) over bar, 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%.
SN  - 1748-0221
UR  - https://arxiv.org/abs/2306.09738
UR  - https://doi.org/10.1088/1748-0221/18/11/P11006
DO  - 10.1088/1748-0221/18/11/P11006
LA  - English
N1  - WOS:001123791900004
ID  - ATLASCollaborationAad_etal2023
ER  -