Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11794
Title: Performance of the CMS Level-1 trigger in proton-proton collisions at root s=13 TeV
Authors: CMS Collaboration
Karapınar, Güler
Keywords: Large detector-systems performance
Trigger algorithms
Issue Date: 2020
Publisher: Iop Publishing Ltd
Abstract: At the start of Run 2 in 2015, the LHC delivered proton-proton collisions at a center-ofmass energy of 13 TeV. During Run 2 (years 2015-2018) the LHC eventually reached a luminosity of 2.1 x 10(34) cm(-2) s(-1), almost three times that reached during Run 1 (2009-2013) and a factor of two larger than the LHC design value, leading to events with up to a mean of about 50 simultaneous inelastic proton-proton collisions per bunch crossing (pileup). The CMS Level-1 trigger was upgraded prior to 2016 to improve the selection of physics events in the challenging conditions posed by the second run of the LHC. This paper describes the performance of the CMS Level-1 trigger upgrade during the data taking period of 2016-2018. The upgraded trigger implements pattern recognition and boosted decision tree regression techniques for muon reconstruction, includes pileup subtraction for jets and energy sums, and incorporates pileup-dependent isolation requirements for electrons and tau leptons. In addition, the new trigger calculates high-level quantities such as the invariant mass of pairs of reconstructed particles. The upgrade reduces the trigger rate from background processes and improves the trigger efficiency for a wide variety of physics signals.
URI: https://doi.org/10.1088/1748-0221/15/10/P10017
https://hdl.handle.net/11147/11794
ISSN: 1748-0221
Appears in Collections:Rectorate / Rektörlük
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

119
checked on Mar 1, 2024

WEB OF SCIENCETM
Citations

108
checked on Mar 2, 2024

Page view(s)

92
checked on Mar 4, 2024

Google ScholarTM

Check




Altmetric


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