Szczegóły publikacji
Opis bibliograficzny
Fast b-tagging at the high-level trigger of the ATLAS experiment in LHC Run 3 / G. Aad, [et al.], L. ADAMCZYK, [et al.], P. BALEK, [et al.], T. BOŁD, [et al.], K. CIEŚLA, [et al.], W. DĄBROWSKI, [et al.], M. DYNDAŁ, [et al.], A. K. GILBERT, [et al.], I. GRABOWSKA-BOŁD, [et al.], K. W. JANAS, [et al.], S. KOPERNY, [et al.], I. K. ŁAKOMIEC, [et al.], K. MAJ, [et al.], B. MINDUR, [et al.], P. A. POTĘPA, [et al.], M. PRZYBYCIEŃ, [et al.], R. SIKORA, [et al.], Yu. VOLKOTRUB, [et al.] // Journal of Instrumentation [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1748-0221. — 2023 — vol. 18 no. 11 art. no. P11006, s. [1], 1–36. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 15–18, Abstr. — Publikacja dostępna online od: 2023-11-10
Autorzy (2933)
- AGHAdamczyk Leszek
- AGHBalek Petr
- AGHBołd Tomasz
- AGHCieśla Krzysztof
- AGHDąbrowski Władysław
- AGHDyndał Mateusz
- AGHGilbert Alexander
- AGHGrabowska-Bołd Iwona
- AGHJanas Krzysztof W.
- AGHKoperny Stefan
- AGHŁakomiec Inga K.
- AGHMaj Klaudia
- AGHMindur Bartosz
- AGHPotępa Patrycja Anna
- AGHPrzybycień Mariusz
- AGHSikora Rafał
- AGHVolkotrub Yuriy
- Aad Georges
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 151391 |
|---|---|
| Data dodania do BaDAP | 2024-01-12 |
| Tekst źródłowy | URL |
| DOI | 10.1088/1748-0221/18/11/P11006 |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Journal of Instrumentation |
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%.
