2026-10-19T01:18:14Zhttps://ebyu-rdlopen.rawdatalibrary.net/oai/request

oai:ebyu-rdlopen.rawdatalibrary.net:ebyu/129252026-10-18T20:27:46Zopenairedrivercom_ebyu_10000col_ebyu_10001

Identification of hadronic tau lepton decays using a deep neural networkTumasyan, 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.Darwish, M.R.De Wolf, E.A.Janssen, T.Kello, T.Lelek, A.Rejeb Sfar, H.Van Mechelen, P.Van Putte, S.Van Remortel, N.Blekman, F.Bols, E.S.D'Hondt, J.Delcourt, M.El Faham, H.Lowette, S.Moortgat, S.Morton, A.Müller, D.Sahasransu, A.R.Tavernier, S.Van Doninck, W.Van Mulders, P.Beghin, D.Bilin, B.Clerbaux, B.De Lentdecker, G.calibration and fitting methodscluster findingLarge detector systems for particle and astroparticle physicsParticle identification methodsPattern recognitionCharged particlesDeep neural networksEfficiencyMultilayer neural networksAstroparticle physicsCalibration methodDetector systemsFitting methodHadronic decaysLarge detector system for particle and astroparticle physicLarge detectorsParticle Identification MethodQuark jetsA new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons (τ h) that originate from genuine tau leptons in the CMS detector against τ h candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a τ h 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 τ h to pass the discriminator against jets increases by 10-30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient τ h 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 τ h reconstruction method are validated with LHC proton-proton collision data at s = 13 TeV. © 2022 CERN.Institute of Physics2022Articlehttps://rdlopen.rawdatalibrary.net/r/ebyu/12925https://doi.org/10.1088/1748-0221/17/07/p070231748-0221enJournal of Instrumentationinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/12925