Particle-flow reconstruction and global event description with the CMS detector
File(s)
Published version
Author(s)
Type
Journal Article
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.
Date Issued
2017-10-06
Date Acceptance
2017-09-11
Citation
JOURNAL OF INSTRUMENTATION, 2017, 12
ISSN
1748-0221
Publisher
IOP PUBLISHING LTD
Journal / Book Title
JOURNAL OF INSTRUMENTATION
Volume
12
Copyright Statement
©
2017 CERN. Published by IOP Publishing Ltd on behalf of Sissa
Medialab. Original content from this work may be used under the terms
of the Creative Commons Attribution 3.0 licence (https://creativecommons.org/licenses/by/3.0/). Any further distribution of this work
must maintain attribution to the author(s) and the title of the work, journal citation
and DOI.
2017 CERN. Published by IOP Publishing Ltd on behalf of Sissa
Medialab. Original content from this work may be used under the terms
of the Creative Commons Attribution 3.0 licence (https://creativecommons.org/licenses/by/3.0/). Any further distribution of this work
must maintain attribution to the author(s) and the title of the work, journal citation
and DOI.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000414167100003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Instruments & Instrumentation
Large detector systems for particle and astroparticle physics
Particle identification methods
PERFORMANCE
TEV
Nuclear & Particles Physics
Publication Status
Published
Article Number
ARTN P10003