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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10476413" target="_blank" >RIV/00216208:11320/23:10476413 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68378271:_____/23:00583128 RIV/68407700:21220/23:00373798 RIV/68407700:21340/23:00373798 RIV/68407700:21670/23:00373798 RIV/61989592:15310/23:73628928

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=WXOee0EXxY" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=WXOee0EXxY</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1748-0221/18/11/P11006" target="_blank" >10.1088/1748-0221/18/11/P11006</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

The ATLAS experiment relies on real-time hadronic jet reconstruction and ????-tagging to record fully hadronic events containing ????-jets. These algorithms require track reconstruction, whichis computationally expensive and could overwhelm the high-level-trigger farm, even at the reducedevent rate that passes the ATLAS first stage hardware-based trigger. In LHC Run 3, ATLAS hasmitigated these computational demands by introducing a fast neural-network-based ????-tagger, whichacts as a low-precision filter using input from hadronic jets and tracks. It runs after a hardware triggerand before the remaining high-level-trigger reconstruction. This design relies on the negligiblecost of neural-network inference as compared to track reconstruction, and the cost reduction fromlimiting tracking to specific regions of the detector. In the case of Standard Model ???????? RIGHTWARDS ARROW ????-????????-????, a key signature relying on ????-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%.

Název v anglickém jazyce

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

Popis výsledku anglicky

The ATLAS experiment relies on real-time hadronic jet reconstruction and ????-tagging to record fully hadronic events containing ????-jets. These algorithms require track reconstruction, whichis computationally expensive and could overwhelm the high-level-trigger farm, even at the reducedevent rate that passes the ATLAS first stage hardware-based trigger. In LHC Run 3, ATLAS hasmitigated these computational demands by introducing a fast neural-network-based ????-tagger, whichacts as a low-precision filter using input from hadronic jets and tracks. It runs after a hardware triggerand before the remaining high-level-trigger reconstruction. This design relies on the negligiblecost of neural-network inference as compared to track reconstruction, and the cost reduction fromlimiting tracking to specific regions of the detector. In the case of Standard Model ???????? RIGHTWARDS ARROW ????-????????-????, a key signature relying on ????-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%.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10300 - Physical sciences

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Instrumentation

ISSN

1748-0221

e-ISSN

1748-0221

Svazek periodika

2023

Číslo periodika v rámci svazku

18

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

38

Strana od-do

Nov

Kód UT WoS článku

001123791900004

EID výsledku v databázi Scopus

2-s2.0-85180406982