TY - JOUR
T1 - Performance of the CMS high-level trigger during LHC Run 2
AU - the CMS Collaboration
AU - Hayrapetyan, A
AU - Anthony, David B
AU - Brooke, Jim
AU - Bundock, Aaron
AU - Bury, Florian J J
AU - Clement, Emyr J
AU - Cussans, David G
AU - Flächer, H.
AU - Glowacki, Maciej
AU - Goldstein, Joel
AU - Heath, Helen F
AU - Holmberg, Mei-Li
AU - Kreczko, Lukasz
AU - Paramesvaran, Sudarshan
AU - Robertshaw, Liam
AU - Smith, Vincent J
AU - Walkingshaw Pass, Katie L M R
AU - al., et
N1 - Publisher Copyright:
© 2024 CERN for the benefit of the CMS collaboration.
PY - 2024/11/22
Y1 - 2024/11/22
N2 - The CERN LHC provided proton and heavy ion collisions during its Run 2 operation period from 2015 to 2018. Proton-proton collisions reached a peak instantaneous luminosity of 2.1× 1034 cm-2s-1, twice the initial design value, at √(s)=13 TeV. The CMS experiment records a subset of the collisions for further processing as part of its online selection of data for physics analyses, using a two-level trigger system: the Level-1 trigger, implemented in custom-designed electronics, and the high-level trigger, a streamlined version of the offline reconstruction software running on a large computer farm. This paper presents the performance of the CMS high-level trigger system during LHC Run 2 for physics objects, such as leptons, jets, and missing transverse momentum, which meet the broad needs of the CMS physics program and the challenge of the evolving LHC and detector conditions. Sophisticated algorithms that were originally used in offline reconstruction were deployed online. Highlights include a machine-learning b tagging algorithm and a reconstruction algorithm for tau leptons that decay hadronically.
AB - The CERN LHC provided proton and heavy ion collisions during its Run 2 operation period from 2015 to 2018. Proton-proton collisions reached a peak instantaneous luminosity of 2.1× 1034 cm-2s-1, twice the initial design value, at √(s)=13 TeV. The CMS experiment records a subset of the collisions for further processing as part of its online selection of data for physics analyses, using a two-level trigger system: the Level-1 trigger, implemented in custom-designed electronics, and the high-level trigger, a streamlined version of the offline reconstruction software running on a large computer farm. This paper presents the performance of the CMS high-level trigger system during LHC Run 2 for physics objects, such as leptons, jets, and missing transverse momentum, which meet the broad needs of the CMS physics program and the challenge of the evolving LHC and detector conditions. Sophisticated algorithms that were originally used in offline reconstruction were deployed online. Highlights include a machine-learning b tagging algorithm and a reconstruction algorithm for tau leptons that decay hadronically.
U2 - 10.1088/1748-0221/19/11/P11021
DO - 10.1088/1748-0221/19/11/P11021
M3 - Article (Academic Journal)
SN - 1748-0221
VL - 19
JO - Journal of Instrumentation
JF - Journal of Instrumentation
IS - November 2024
M1 - P11021
ER -