The identification of prompt and isolated muons, as well as muons from heavy-flavour hadron decays, is an important task. We developed two multivariate techniques to provide highly efficient identification for muons with transverse momentum greater than 10 GeV. One provides a continuous variable as an alternative to a cut-based identification selection and offers a better discrimination power against misidentified muons. The other one selects prompt and isolated muons by using isolation requirements to reduce the contamination from nonprompt muons arising in heavy-flavour hadron decays. Both algorithms are developed using 59.7 fb−1 of proton-proton collisions data at a centre-of-mass energy of √s = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.

Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J., Bergauer, T., Chatterjee, S., et al. (2024). Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √S = 13 TeV. JOURNAL OF INSTRUMENTATION, 19(2) [10.1088/1748-0221/19/02/P02031].

Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √S = 13 TeV

Benaglia, A.;Boldrini, G.;Brivio, F.;Cetorelli, F.;De Guio, F.;Dinardo, M. E.;Ghezzi, A.;Govoni, P.;Guzzi, L.;Lucchini, M. T.;Malberti, M.;Massironi, A.;Moroni, L.;Paganoni, M.;Pinolini, B. S.;Ragazzi, S.;Tabarelli de Fatis, T.;Zuolo, D.;Ortona, G.;Gerosa, R.;
2024

Abstract

The identification of prompt and isolated muons, as well as muons from heavy-flavour hadron decays, is an important task. We developed two multivariate techniques to provide highly efficient identification for muons with transverse momentum greater than 10 GeV. One provides a continuous variable as an alternative to a cut-based identification selection and offers a better discrimination power against misidentified muons. The other one selects prompt and isolated muons by using isolation requirements to reduce the contamination from nonprompt muons arising in heavy-flavour hadron decays. Both algorithms are developed using 59.7 fb−1 of proton-proton collisions data at a centre-of-mass energy of √s = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.
Articolo in rivista - Articolo scientifico
Muon spectrometers; Particle identification methods; Particle tracking detectors;
English
23-feb-2024
2024
19
2
P02031
none
Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J., Bergauer, T., Chatterjee, S., et al. (2024). Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √S = 13 TeV. JOURNAL OF INSTRUMENTATION, 19(2) [10.1088/1748-0221/19/02/P02031].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/474479
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