Performance of t-lepton reconstruction and identification in CMS
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Chatrchyan, S.; Brochero Cifuentes, Javier Andrés
; Cabrillo Bartolomé, José Iban
; Calderón Tazón, Alicia
; Chuang, S. H.; Duarte Campderros, Jorge
; Felcini, Marta; Fernández García, Marcos
; Gómez Gramuglio, Gervasio
; González Sánchez, Francisco Javier
; Jordá Lope, Clara; Lobelle Pardo, Patricia; López Virto, María Amparo; Marco de Lucas, Jesús
; Marco de Lucas, Rafael José; Martínez Rivero, Celso; Matorras Weinig, Francisco
; Muñoz Sánchez, Francisca Javiela; Piedra Gómez, Jonatan
; [et al.]Fecha
2012-01Derechos
Atribución-NoComercial-CompartirIgual 3.0 España. © 2012 CERN for the benefit of the CMS collaboration, published under license by IOP Publishing Ltd and SISSA. Content may be used under the terms of the Creative Commons Attribution-Non-Commercial-ShareAlike 3.0 license
Publicado en
Journal of Instrumentation, 2012, 7(1), P01001
Editorial
Institute of Physics
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Palabras clave
Si microstrip and pad detectors
Calorimeter methods
Detector modelling and simulations I (interaction of radiation with matter, interaction of photons with matter, interaction of hadrons with matter, etc)
Resumen/Abstract
The performance of τ-lepton reconstruction and identification algorithms is studied using a data sample of proton-proton collisions at √ s = 7 TeV, corresponding to an integrated luminosity of 36 pb−1 collected with the CMS detector at the LHC. The τ leptons that decay into one or three charged hadrons, zero or more short-lived neutral hadrons, and a neutrino are identified using final-state particles reconstructed in the CMS tracker and electromagnetic calorimeter. The reconstruction efficiency of the algorithms is measured using τ leptons produced in Z-boson decays. The τ-lepton misidentification rates for jets and electrons are determined.
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Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución-NoComercial-CompartirIgual 3.0 España. © 2012 CERN for the benefit of the CMS collaboration, published under license by IOP Publishing Ltd and SISSA. Content may be used under the terms of the Creative Commons Attribution-Non-Commercial-ShareAlike 3.0 license






