Identification of low-momentum muons in the CMS detector using multivariate techniques in proton-proton collisions at sqrt(s) = 13.6 TeV
(2025) Journal of Instrumentation — Vol. 20 (2025)
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- Abstract
- “Soft” muons with a transverse momentum below 10 GeV arefeatured in many processes studied by the CMS experiment, such asdecays of heavy-flavor hadrons or rare tau lepton decays. Maximizingthe selection efficiency for these muons, while simultaneouslysuppressing backgrounds from long-lived light-flavor hadron decays,is therefore important for the success of the CMS physicsprogram. Multivariate techniques have been shown to deliver bettermuon identification performance than traditional selectiontechniques. To take full advantage of the large data set currentlybeing collected during Run 3 of the CERN LHC, a new multivariateclassifier based on a gradient-boosted decision tree has beendeveloped. It offers a significantly improved separation of signaland background muons compared to a similar classifier used for theanalysis of the Run 2 data. The performance of the new classifier isevaluated on a data set collected with the CMS detector in 2022and 2023, corresponding to an integrated luminosity of62 fb$^{-1}$.
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Bein, S., Benecke, A., Bethani, A., Bruno, G., Caputo, C., de Favereau de Jeneret, J., Delaere, C., Donertas, I. S., Giammanco, A., Guzel, A., Jain, S., Jain, S., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Tran, T. T., Turkcapar, S., CMS, & et al. (2025). Identification of low-momentum muons in the CMS detector using multivariate techniques in proton-proton collisions at sqrt(s) = 13.6 TeV. Journal of Instrumentation, 20. https://doi.org/10.1088/1748-0221/20/04/P04021 (Original work published 2025)