Identification of low-momentum muons in the CMS detector using multivariate techniques in proton-proton collisions at sqrt(s) = 13.6 TeV | CU Experts

Abstract; “Soft” muons with a transverse momentum below 10 GeV are; featured in many processes studied by the CMS experiment, such as; decays of heavy-flavor hadrons or rare tau lepton decays. Maximizing; the selection efficiency for these muons, while simultaneously; suppressing backgrounds from long-lived light-flavor hadron decays,; is therefore important for the success of the CMS physics; program. Multivariate techniques have been shown to deliver better; muon identification performance than traditional selection; techniques. To take full advantage of the large data set currently; being collected during Run 3 of the CERN LHC, a new multivariate; classifier based on a gradient-boosted decision tree has been; developed. It offers a significantly improved separation of signal; and background muons compared to a similar classifier used for the; analysis of the Run 2 data. The performance of the new classifier is; evaluated on a data set collected with the CMS detector in 2022; and 2023, corresponding to an integrated luminosity of; 62 fb-1.

Chekhovsky V; Hayrapetyan A; Makarenko V; Tumasyan A; Adam W; Andrejkovic JW; Benato L; Bergauer T; Chatterjee S; Damanakis K

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