000646492 001__ 646492
000646492 005__ 20260303213825.0
000646492 0247_ $$2INSPIRETeX$$aCMS:2026zzq
000646492 0247_ $$2inspire$$ainspire:3119150
000646492 0247_ $$2arXiv$$aarXiv:2602.11359
000646492 0247_ $$2datacite_doi$$a10.3204/PUBDB-2026-00879
000646492 037__ $$aPUBDB-2026-00879
000646492 041__ $$aEnglish
000646492 088__ $$2arXiv$$aarXiv:2602.11359
000646492 088__ $$2CMS$$aCMS-TAU-24-002
000646492 088__ $$2CERN$$aCERN-EP-2026-008
000646492 1001_ $$0P:(DE-H253)PIP1109504$$aHayrapetyan, Aram$$b0
000646492 245__ $$aHigh-level hadronic tau lepton triggers of the CMS experiment in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV
000646492 260__ $$c2026
000646492 3367_ $$0PUB:(DE-HGF)25$$2PUB:(DE-HGF)$$aPreprint$$bpreprint$$mpreprint$$s1772549152_634236
000646492 3367_ $$2ORCID$$aWORKING_PAPER
000646492 3367_ $$028$$2EndNote$$aElectronic Article
000646492 3367_ $$2DRIVER$$apreprint
000646492 3367_ $$2BibTeX$$aARTICLE
000646492 3367_ $$2DataCite$$aOutput Types/Working Paper
000646492 500__ $$aSubmitted to the Journal of Instrumentation. All figures and tables can be found at http://cms-results.web.cern.ch/cms-results/public-results/publications/TAU-24-002 (CMS Public Pages)
000646492 520__ $$aThe trigger system of the CMS detector is pivotal in the acquisition of data for physics measurements and searches. Studies of final states characterized by hadronic decays of tau leptons require the reconstruction and the identification of genuine tau leptons against quark- and gluon-initiated jets at the trigger level. This is a difficult task, particularly as improvements to the LHC have resulted in an increased number of interactions per bunch crossing in recent years. To address this challenge, a series of machine-learning algorithms with high identification efficiency and low computational cost have been incorporated into the high-level trigger for hadronically decaying tau leptons. In this paper, these developments and the trigger performance are summarized using data collected by the CMS experiment in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV in 2022$-$2023, corresponding to an integrated luminosity of 62 fb$^{-1}$.
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000646492 536__ $$0G:(DE-HGF)2019_IVF-HIDSS-0002$$aHIDSS-0002 - DASHH: Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter (2019_IVF-HIDSS-0002)$$c2019_IVF-HIDSS-0002$$x2
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