Name: Fast b-tagging at the high-level trigger of the ATLAS experiment in LHC Run 3
Keywords: Bottom: particle identification, Final state: ((n)jet), final state: ((n)jet), Jet: bottom, Track data analysis: jet, costs, bottom: particle identification, Efficiency, Signature, trigger algorithms

descriptionPublicationkeyboard_double_arrow_right Article , Research , Preprint , Other literature type 01 Nov 2023Embargo end date: 01 Jan 2023Publisher:IOP PublishingJournal:Journal of Instrumentation, volume 18, page P11006 (eissn: 1748-0221,

Authors: Aad, Georges; Abbott, Braden Keim; Abeling, Kira; Abicht, Nils Julius; Abidi, Haider; Aboulhorma, Asmaa; Abramowicz, Halina; +193 Authors

Aad, Georges; Abbott, Braden Keim; Abeling, Kira; Abicht, Nils Julius; Abidi, Haider; Aboulhorma, Asmaa; Abramowicz, Halina; Abreu, Henso; Abulaiti, Yiming; Abusleme Hoffman, A. C.; Acharya, Bobby Samir; Adam Bourdarios, Claire; Adamczyk, Leszek; Adamek, Lukas; Addepalli, Sagar; Addison, Matt; Adelman, Jahred; Adiguzel, Aytul; Adye, Tim; Affolder, A. A.; Affolder, Tony; Afik, Yoav; Agaras, Merve Nazlim; Agarwala, Jinky; Aggarwal, Anamika; Agheorghiesei, Catalin; Ahmad, Ammara; Ahmadov, Faig; Ahmed, Waleed Syed; Ahuja, Sudha; Ai, Xiaocong; Aielli, Giulio; Aikot, Arya; Ait Tamlihat, Malak; Aitbenchikh, Brahim; Aizenberg, Iakov; Akbiyik, Melike; Akesson, Torsten; Akimov, Andrei; Akiyama, Daiya; Akolkar, Nilima Nilesh; Al Khoury, Konie; Alberghi, Gian Luigi; Albert, Justin; Albicocco, Pietro; Albouy, Guillaume Lucas; Alderweireldt, Sara; Aleksa, Martin; Aleksandrov, I. N.; Alexa, Calin; Alexopoulos, Theodoros; Alfonsi, Fabrizio; Algren, Malte; Alhroob, Muhammad; Ali, Babar; Ali, Hanadi; Ali, Shahzad; Alibocus, Samuel William; Aliev, Malik; Alimonti, Gianluca; Alkakhi, Wael; Allaire, Corentin; Allbrooke, Benedict; Allen, Julia Frances; Allendes Flores, Cristian Andres; Allport, Philip Patrick; Aloisio, Alberto; Alonso, Francisco; Alpigiani, Cristiano; Alvarez Estevez, Manuel; Alvarez Fernandez, Adrian; Alves Cardoso, Mario; Alviggi, Mariagrazia; Aly, Mohamed; Do Amaral Coutinho, Yara; Ambler, Alessandro; Amelung, Christoph; Amerl, Maximilian; Ames, Christoph; Amidei, Dante; Amor Dos Santos, Susana Patricia; Amos, Kieran Robert; Ananiev, Viktor; Anastopoulos, Christos; Andeen, Timothy Robert; Anders, John Kenneth; Andrean, Stefio Yosse; Andreazza, Attilio; Angelidakis, Stylianos; Angerami, Aaron; Anisenkov, Alexey; Annovi, Alberto; Antel, Claire; Anthony, Matthew Thomas; Antipov, Egor; Antonelli, Mario; Anulli, Fabio; Aoki, Masato; Aoki, Takumi; Aparisi Pozo, Javier Alberto; Aparo, Marco; Aperio Bella, Ludovica; Appelt, Christian; Apyan, Aram; Aranzabal Barrio, Nordin; Arcangeletti, Chiara; Arce, Ayana Tamu; Arena, Eloisa; Arguin, Jean-Francois; Argyropoulos, Spyros; Arling, Jan-Hendrik; Arnaez, Olivier; Arnold, Hannah; Artoni, Giacomo; Asada, Haruka; Asai, Kanae; Asai, Shoji; Asbah, Nedaa Alexandra; Assahsah, Jihad; Assamagan, Ketevi Adikle; Astalos, Robert; Atashi, S.; Atashi, Rose; Atkin, Ryan Justin; Atkinson, Markus Julian; Atmani, Hicham; Atmasiddha, Prachi; Augsten, Kamil; Auricchio, Silvia; Auriol, Adrien; Austrup, Volker Andreas; Avolio, Giuseppe; Axiotis, Konstantinos; Azuelos, Georges; Babal, Dominik; Bachacou, Henri; Bachas, Konstantinos; Bachiu, Alexander; Backman, Karl Filip; Badea, Anthony; Bagnaia, Paolo; Bahmani, Marzieh; Bailey, Adam; Bailey, Virginia; Baines, John; Baines, Luke; Bakalis, Christos; Baker, Keith; Bakos, Evelin; Bakshi Gupta, Debottam; Balakrishnan, Veena; Balasubramanian, Rahul; Baldin, Evgenii; Balek, Petr; Ballabene, Eric; Balli, Fabrice; Baltes, Lisa Marie; Balunas, William Keaton; Balz, Johannes; Banas, Elzbieta; Bandieramonte, Marilena; Bandyopadhyay, Anjishnu; Bansal, Shubham; Barak, Liron; Barakat, Marawan; Barberio, Elisabetta; Barberis, Dario; Barbero, Marlon Benoit; Barel, Marten Zefanja; Barends, Kevin Nicholas; Barillari, Teresa; Barisits, Martin; Barklow, Tim; Baron, Petr; Baron Moreno, D. A.; Baroncelli, Toni; Baroncelli, A.; Barone, Gaetano; Barr, Alan; Barr, Jackson; Barranco Navarro, Laura; Barreiro Alonso, Fernando; Barreiro Guimaraes Da Costa, Joao; Barron, Uriel; Barros Teixeira, M. G.; Barsov, Sergey; Bartels, Falk; Bartoldus, Rainer; Barton, Adam Edward; Bartos, Pavol; Basan, Alexander; Baselga Bacardit, Marta; Bassalat, Ahmed; Basso, Matthew Joseph; Basson, Candice Ruth; Bates, Richard; Batlamous, Souad; Batley, Richard; Batool, Binish; Battaglia, Marco;

doi: 10.1088/1748-0221/18/11/p11006 , 10.48550/arxiv.2306.09738 , 10.3204/pubdb-2023-07553 , 10.3204/pubdb-2023-04995

arXiv: http://arxiv.org/abs/2306.09738

handle: 10261/351080 , https://repository.ubn.ru.nl/handle/2066/298585 , 11588/953094 , 11368/3100924 , 11245.1/6ed9ffce-c337-40f4-b73f-c5c2db8b7d33 , 20.500.11851/11010 , 10852/108246 , 2066/298585 , 2434/1032456 , 20.500.11770/361266 , 11572/412632 , 11390/1270526 , 2108/345452 , 11590/462751 , 11568/1238888 , 11587/507466 , 11585/955680 , 11582/344554 , 1959.3/477057

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

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Abstract

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%.

Related Organizations

Swinburne University of Technology
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Keywords

Bottom: particle identification, Final state: ((n)jet), final state: ((n)jet), Jet: bottom, Track data analysis: jet, costs, bottom: particle identification, Efficiency, Signature, trigger algorithms, High Energy Physics - Experiment, Subatomär fysik, High Energy Physics - Experiment (hep-ex), Engineering, Tracks, Subatomic Physics, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Trigger: hardware, Trigger concepts and systems, info:eu-repo/classification/ddc/610, Settore FIS/01, Trigger algorithm, Trigger Algorithms, Data analysis method, trigger concepts and systems (hardware and software), Jet: trigger, Trigger algorithms, ATLAS, : Trigger algorithms, Nuclear and Plasma Physics, Nuclear & Particles Physics, 004, Physical sciences, P p: scattering, CERN LHC Coll, Trigger concepts and systems (hardware and software), Statistical analysis, track data analysis: jet, Physical Sciences, High energy physics; ATLAS experiment; B-tagging; Hadronic jets; Hardware and software; High-level triggers; System hardware; System softwares; Track reconstruction; Trigger algorithms; Trigger concept and system (hardware and software); Cost reduction, Higgs particle: pair production, jet: bottom, jet: trigger, signature, p p: scattering, data analysis method, [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], neural network, 610, FOS: Physical sciences, Bioengineering, bottom: pair production, 530, Trigger algorithms | Trigger concepts and systems (hardware and software), Trigger Concepts And Systems (Hardware And Software), Trigger algorithms; Trigger concepts and systems (hardware and software), statistical analysis, 539, High Energy Physics, Trigger algorithms, Trigger concepts and systems (hardware and software), P p: colliding beams, 500, Jet: hadronic, jet: hadronic, tracks, Neural network, Costs, efficiency, Higgs particle: hadronic decay, Experimental High Energy Physics, trigger: hardware, Hadron-hadron collisions, Bottom: pair production, p p: colliding beams, 500.2

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