Muon Identification Using Multivariate Techniques in the CMS Experiment in Proton-Proton Collisions at √s = 13 TeV

Journal of instrumentation 2024
Aram Hayrapetyan, Kārlis Dreimanis, Antra Gaile, Guntis Pikurs, Andris Potrebko, Markus Seidel, Viesturs Veckalns, Normunds Ralfs Strautnieks

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. © 2024 Institute of Physics. All rights reserved.

Atslēgas vārdi
Muon spectrometers; Particle identification methods; Particle tracking detectors
DOI
10.1088/1748-0221/19/02/P02031
Hipersaite
https://iopscience.iop.org/article/10.1088/1748-0221/19/02/P02031

The CMS Collaboration ; A.Hayrapetyan, K.Dreimanis, A.Gaile, G.Pikurs, A.Potrebko, M.Seidel, V.Veckalns, N.R.Strautnieks ... [et al.] Muon Identification Using Multivariate Techniques in the CMS Experiment in Proton-Proton Collisions at √s = 13 TeV. Journal of instrumentation, 2024, Vol. 19, No. 2, Article number P02031. ISSN 1748-0221. Pieejams: doi:10.1088/1748-0221/19/02/P02031

Publikācijas valoda
English (en)