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$$ TeV pp collisions from Run 2 of the Large Hadron Collider are presented. These new tagging algorithms are based on recurrent and deep neural networks, and their performance is evaluated i...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
31 July 2023
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| In: |
The European physical journal. C, Particles and fields
Year: 2023, Jahrgang: 83, Heft: 7, Pages: 1-37 |
| ISSN: | 1434-6052 |
| DOI: | 10.1140/epjc/s10052-023-11699-1 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1140/epjc/s10052-023-11699-1
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| Verfasserangaben: | ATLAS Collaboration* |
MARC
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| 245 | 1 | 0 | |a ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset |c ATLAS Collaboration* |
| 246 | 3 | 3 | |a ATLAS flavour-tagging algorithms for the LHC Run 2 proton-proton collision dataset |
| 264 | 1 | |c 31 July 2023 | |
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| 500 | |a Veröffentlicht: 31. Juli 2023 | ||
| 500 | |a *ATLAS Collaboration: G. Aad, L.M. Baltes, F. Bartels, F.L. Castillo, M.M. Czurylo, F. Del Rio, S.J. Dittmeier, M. Dunford, S. Franchino, T. Junkermann, M. Klassen, T. Mkrtchyan, P.S. Ott, D.F. Rassloff, S. Rodriguez Bosca, C. Sauer, A. Schoening, H.-C. Schultz-Coulon, V. Sothilingam, P. Starovoitov, L. Vigani, S.M. Weber, M. Wessels, J. Zinsser [und sehr viele weitere Personen] | ||
| 500 | |a Gesehen am 17.11.2023 | ||
| 520 | |a The flavour-tagging algorithms developed by the ATLAS Collaboration and used to analyse its dataset of √s = 13$$ 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. | ||
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