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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...

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Main Authors: Aad, Georges (Author) , Baltes, Lisa Marie (Author) , Bartels, Falk (Author) , Castillo, Florencia Luciana (Author) , Czurylo, Marta (Author) , Rio, Fernando del (Author) , Dittmeier, Sebastian (Author) , Dunford, Monica (Author) , Franchino, Silvia (Author) , Junkermann, Thomas (Author) , Klassen, Martin (Author) , Mkrtchyan, Tigran (Author) , Ott, Philipp (Author) , Rassloff, Damir Fabrice (Author) , Rodriguez Bosca, Sergi (Author) , Sauer, Christof (Author) , Schöning, André (Author) , Schultz-Coulon, Hans-Christian (Author) , Sothilingam, Varsiha (Author) , Stamen, Rainer (Author) , Starovoitov, Pavel (Author) , Vigani, Luigi (Author) , Weber, Sebastian (Author) , Wessels, Martin (Author) , Zinßer, Joachim (Author)
Corporate Author: ATLAS Collaboration (Author)
Format: Article (Journal)
Language:English
Published: 31 July 2023
In: The European physical journal. C, Particles and fields
Year: 2023, Volume: 83, Issue: 7, Pages: 1-37
ISSN:1434-6052
DOI:10.1140/epjc/s10052-023-11699-1
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1140/epjc/s10052-023-11699-1
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Author Notes:ATLAS Collaboration*
Description
Summary: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.
Item Description: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
Physical Description:Online Resource
ISSN:1434-6052
DOI:10.1140/epjc/s10052-023-11699-1

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