CMS deployed ML-based high-level triggers for hadronic tau leptons with high efficiency and low compute cost, validated on 62 fb^{-1} of 2022-2023 data.
Reconstruction and identification of tau lepton decays to hadrons and tau neutrino at CMS
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abstract
This paper describes the algorithms used by the CMS experiment to reconstruct and identify tau to hadrons + tau neutrino decays during Run 1 of the LHC. The performance of the algorithms is studied in proton-proton collisions recorded at a centre-of-mass energy of 8 TeV, corresponding to an integrated luminosity of 19.7 inverse femtobarns. The algorithms achieve an identification efficiency of 50-60%, with misidentification rates for quark and gluon jets, electrons, and muons between per mille and per cent levels.
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High-level hadronic tau lepton triggers of the CMS experiment in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV
CMS deployed ML-based high-level triggers for hadronic tau leptons with high efficiency and low compute cost, validated on 62 fb^{-1} of 2022-2023 data.