Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √S = 13 TeV
Yükleniyor...
Dosyalar
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Physics
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Muon Spectrometers, Particle Identification Methods, Particle Tracking Detectors
Kaynak
WoS Q Değeri
N/A
Scopus Q Değeri
Q2
Cilt
19
Sayı
2
Künye
Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Sağır, S., et al. (2024). Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at sqrt(s) = 13 TeV. Journal of Instrumentation, 19(02). https://doi.org/10.1088/1748-0221/19/02/P02031