Copertina

ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset

The flavour-tagging algorithms developed by the ATLAS Collaboration and used to analyse its dataset of √s = 13$$ TeV pp collisions from Run 2 of the Large Hadron Collider are presented. These new tagging algorithms are based on recurrent and deep neural networks, and their performance is evaluated i...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Autori principali: Aad, Georges (Autore) , Baltes, Lisa Marie (Autore) , Bartels, Falk (Autore) , Castillo, Florencia Luciana (Autore) , Czurylo, Marta (Autore) , Rio, Fernando del (Autore) , Dittmeier, Sebastian (Autore) , Dunford, Monica (Autore) , Franchino, Silvia (Autore) , Junkermann, Thomas (Autore) , Klassen, Martin (Autore) , Mkrtchyan, Tigran (Autore) , Ott, Philipp (Autore) , Rassloff, Damir Fabrice (Autore) , Rodriguez Bosca, Sergi (Autore) , Sauer, Christof (Autore) , Schöning, André (Autore) , Schultz-Coulon, Hans-Christian (Autore) , Sothilingam, Varsiha (Autore) , Stamen, Rainer (Autore) , Starovoitov, Pavel (Autore) , Vigani, Luigi (Autore) , Weber, Sebastian (Autore) , Wessels, Martin (Autore) , Zinßer, Joachim (Autore)
Ente Autore: ATLAS Collaboration (Autore)
Natura: Article (Journal)
Lingua:inglese
Pubblicazione: 31 July 2023
In: The European physical journal. C, Particles and fields
Year: 2023, Volume: 83, Fascicolo: 7, Pages: 1-37
ISSN:1434-6052
DOI:10.1140/epjc/s10052-023-11699-1
Accesso online:Verlag, kostenfrei, Volltext: https://doi.org/10.1140/epjc/s10052-023-11699-1
Testo
Note sull'autore:ATLAS Collaboration*
Descrizione
Riassunto:The flavour-tagging algorithms developed by the ATLAS Collaboration and used to analyse its dataset of √s = 13$$ TeV pp collisions from Run 2 of the Large Hadron Collider are presented. These new tagging algorithms are based on recurrent and deep neural networks, and their performance is evaluated in simulated collision events. These developments yield considerable improvements over previous jet-flavour identification strategies. At the 77% b-jet identification efficiency operating point, light-jet (charm-jet) rejection factors of 170 (5) are achieved in a sample of simulated Standard Model tt[bar] events; similarly, at a c-jet identification efficiency of 30%, a light-jet (b-jet) rejection factor of 70 (9) is obtained.
Descrizione del documento:Veröffentlicht: 31. Juli 2023
*ATLAS Collaboration: G. Aad, L.M. Baltes, F. Bartels, F.L. Castillo, M.M. Czurylo, F. Del Rio, S.J. Dittmeier, M. Dunford, S. Franchino, T. Junkermann, M. Klassen, T. Mkrtchyan, P.S. Ott, D.F. Rassloff, S. Rodriguez Bosca, C. Sauer, A. Schoening, H.-C. Schultz-Coulon, V. Sothilingam, P. Starovoitov, L. Vigani, S.M. Weber, M. Wessels, J. Zinsser [und sehr viele weitere Personen]
Gesehen am 17.11.2023
Descrizione fisica:Online Resource
ISSN:1434-6052
DOI:10.1140/epjc/s10052-023-11699-1

Documenti analoghi