Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/5390
Title: | Muon identification using multivariate techniques in the CMS experiment in proton-proton collisions at √S = 13 TeV | Authors: | Hayrapetyan, A. Tumasyan, A. Adam, W. Andrejkovic, J.W. Bergauer, T. Chatterjee, S. Damanakis, K. |
Keywords: | Muon spectrometers Particle identification methods Particle tracking detectors Charged particles Spectrometers Tellurium compounds Heavy flavours Multivariate techniques Muon identification Muon spectrometer Particle Identification Method Particle tracking Particle tracking detector Proton proton collisions Tracking detectors Transverse momenta Hadrons |
Publisher: | Institute of Physics | 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. © 2024 Institute of Physics. All rights reserved. | URI: | https://doi.org/10.1088/1748-0221/19/02/P02031 https://hdl.handle.net/20.500.13091/5390 |
ISSN: | 1748-0221 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
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