Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/8740
Title: Particle-Flow Reconstruction and Global Event Description With the Cms Detector
Authors: Sirunyan, A.M.
Tumasyan, A.
Adam, W.
Asilar, E.
Bergauer, T.
Brandstetter, J.
Abbaneo, D.
Keywords: Large Detector Systems For Particle And Astroparticle Physics
Particle Identification Methods
Publisher: Institute of Physics
Abstract: The CMS apparatus was identified, a few years before the start of the LHC operation at CERN, to feature properties well suited to particle-flow (PF) reconstruction: a highly-segmented tracker, a fine-grained electromagnetic calorimeter, a hermetic hadron calorimeter, a strong magnetic field, and an excellent muon spectrometer. A fully-fledged PF reconstruction algorithm tuned to the CMS detector was therefore developed and has been consistently used in physics analyses for the first time at a hadron collider. For each collision, the comprehensive list of final-state particles identified and reconstructed by the algorithm provides a global event description that leads to unprecedented CMS performance for jet and hadronic τ decay reconstruction, missing transverse momentum determination, and electron and muon identification. This approach also allows particles from pileup interactions to be identified and enables efficient pileup mitigation methods. The data collected by CMS at a centre-of-mass energy of 8\TeV show excellent agreement with the simulation and confirm the superior PF performance at least up to an average of 20 pileup interactions. © 2017 CERN.
URI: https://doi.org/10.1088/1748-0221/12/10/P10003
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

676
checked on May 16, 2025

WEB OF SCIENCETM
Citations

311
checked on May 17, 2025

Page view(s)

236
checked on Jul 14, 2025

Google ScholarTM

Check




Altmetric


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