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

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...

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Detalles Bibliográficos
Autores: Hayrapetyan, A., Bhowmik, Sandeep, Blanco Fernández, Sergio, Brochero Cifuentes, Javier Andrés|||0000-0003-2093-7856, Cabrillo Bartolomé, José Ibán, Calderón Tazón, Alicia|||0000-0002-7205-2040, Duarte Campderros, Jorge|||0000-0003-0687-5214, Fernández García, Marcos|||0000-0002-4824-1087, Fernández Madrazo, Celia|||0000-0001-9748-4336, Gómez Gramuglio, Gervasio|||0000-0002-1077-6553, Lasaosa García, Clara, Martínez Rivero, Celso, Martínez Ruiz del Árbol, Pablo|||0000-0002-7737-5121, Matorras Weinig, Francisco|||0000-0003-4295-5668, Matorras Cuevas, Pablo|||0000-0001-7481-7273, Navarrete Ramos, Efrén|||0000-0002-5180-4020, Piedra Gómez, Jonatan|||0000-0002-9157-1700, Scodellaro, Luca|||0000-0002-4974-8330, Vila Álvarez, Iván|||0000-0002-6797-7209, Vizán García, Jesús Manuel|||0000-0002-6823-8854
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/36073
Acceso en línea:https://hdl.handle.net/10902/36073
Access Level:acceso abierto
Palabra clave:Muon spectrometers
Particle identification methods
Particle tracking detectors
Descripción
Sumario: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 vs = 13 TeV collected in 2018 with the CMS experiment at the CERN LHC.

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