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Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Bergauer, T.; Chatterjee, S.; Dragicevic, M.; Escalante Del Valle, A.; Frühwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; Paulitsch, P.; Pitters, F.M.; Schieck, J.; Schöfbeck, R.; Schwarz, D.; Templ, S.; Waltenberger, W.; Wulz, C.-E.; Chekhovsky, V.; Litomin, A.; Makarenko, V.; [...]

Identification of hadronic tau lepton decays using a deep neural network

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  • Medientyp: E-Artikel
  • Titel: Identification of hadronic tau lepton decays using a deep neural network
  • Beteiligte: Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Bergauer, T.; Chatterjee, S.; Dragicevic, M.; Escalante Del Valle, A.; Frühwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; Paulitsch, P.; Pitters, F.M.; Schieck, J.; Schöfbeck, R.; Schwarz, D.; Templ, S.; Waltenberger, W.; Wulz, C.-E.; Chekhovsky, V.; Litomin, A.; Makarenko, V.; [...]
  • Erschienen: IOP Publishing, 2022
  • Erschienen in: Journal of Instrumentation, 17 (2022) 7, Seite P07023
  • Sprache: Nicht zu entscheiden
  • DOI: 10.1088/1748-0221/17/07/p07023
  • ISSN: 1748-0221
  • Schlagwörter: Mathematical Physics ; Instrumentation
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title> <jats:p>A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons (<jats:italic>τ</jats:italic> <jats:sub>h</jats:sub>) that originate from genuine tau leptons in the CMS detector against <jats:italic>τ</jats:italic> <jats:sub>h</jats:sub> candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a <jats:italic>τ</jats:italic> <jats:sub>h</jats:sub> candidate and employs a deep neural network with convolutional layers to efficiently process the inputs. This algorithm leads to a significantly improved performance compared with the previously used one. For example, the efficiency for a genuine <jats:italic>τ</jats:italic> <jats:sub>h</jats:sub> to pass the discriminator against jets increases by 10–30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient <jats:italic>τ</jats:italic> <jats:sub>h</jats:sub> reconstruction is introduced that incorporates additional hadronic decay modes. The superior performance of the new algorithm to discriminate against jets, electrons, and muons and the improved <jats:italic>τ</jats:italic> <jats:sub>h</jats:sub> reconstruction method are validated with LHC proton-proton collision data at √<jats:italic>s</jats:italic> = 13 TeV.</jats:p>