Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10544
Title: Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at root s=8 TeV
Authors: CMS Collaboration
Keywords: Pattern recognition
Cluster finding
Calibration and fitting methods
High energy physics
Publisher: IOP Publishing Ltd.
Abstract: The performance and strategies used in electron reconstruction and selection at CMS are presented based on data corresponding to an integrated luminosity of 19.7 fb(-1), collected in proton-proton collisions at root s = 8TeV at the CERN LHC. The paper focuses on prompt isolated electrons with transverse momenta ranging from about 5 to a few 100 GeV. A detailed description is given of the algorithms used to cluster energy in the electromagnetic calorimeter and to reconstruct electron trajectories in the tracker. The electron momentum is estimated by combining the energy measurement in the calorimeter with the momentum measurement in the tracker. Benchmark selection criteria are presented, and their performances assessed using Z, SIC, and J/psi decays into e(+)+e(-) pairs. The spectra of the observables relevant to electron reconstruction and selection as well as their global efficiencies are well reproduced by Monte Carlo simulations. The momentum scale is calibrated with an uncertainty smaller than 0.3%. The momentum resolution for electrons produced in Z boson decays ranges from 1.7 to 4.5%, depending on electron pseudorapidity and energy loss through bremsstrahlung in the detector material.
URI: https://doi.org/10.1088/1748-0221/10/06/P06005
https://hdl.handle.net/11147/10544
ISSN: 1748-0221
Appears in Collections:Rectorate / Rektörlük
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

396
checked on Nov 15, 2024

WEB OF SCIENCETM
Citations

440
checked on Nov 9, 2024

Page view(s)

160
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.