4.3 Article

Performance of the CMS Level-1 trigger in proton-proton collisions at √s=13 TeV

期刊

JOURNAL OF INSTRUMENTATION
卷 15, 期 10, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1748-0221/15/10/P10017

关键词

Large detector-systems performance; Trigger algorithms

资金

  1. Austrian Federal Ministry of Education, Science and Research
  2. Austrian Science Fund
  3. Belgian Fonds de la Recherche Scientifique
  4. Fonds voorWetenschappelijk Onderzoek
  5. Brazilian Funding Agency (CNPq)
  6. Brazilian Funding Agency (CAPES)
  7. Brazilian Funding Agency (FAPERJ)
  8. Brazilian Funding Agency (FAPERGS)
  9. Brazilian Funding Agency (FAPESP)
  10. Bulgarian Ministry of Education and Science
  11. CERN
  12. Chinese Academy of Sciences of China
  13. Ministry of Science and Technology of China
  14. National Natural Science Foundation of China
  15. Colombian Funding Agency (COLCIENCIAS)
  16. Croatian Ministry of Science, Education and Sport
  17. Croatian Science Foundation
  18. Research and Innovation Foundation, Cyprus
  19. Secretariat for Higher Education, Science, Technology and Innovation, Ecuador
  20. Ministry of Education and Research, Estonia
  21. Estonian Research Council, Estonia [PRG780, PRG803, PRG445]
  22. European Regional Development Fund, Estonia
  23. Academy of Finland
  24. Finnish Ministry of Education and Culture
  25. Helsinki Institute of Physics
  26. Institut National de Physique Nucleaire et de Physique des Particules/CNRS, France
  27. Commissariat a l'Energie Atomique et aux Energies Alternatives/CEA, France
  28. Bundesministerium fur Bildung und Forschung, Germany
  29. Deutsche Forschungsgemeinschaft (DFG), Germany [EXC 2121, 390833306]
  30. Helmholtz-Gemeinschaft Deutscher Forschungszentren, Germany
  31. General Secretariat for Research and Technology, Greece
  32. National Research, Development and Innovation Fund, Hungary
  33. Department of Atomic Energy, India
  34. Department of Science and Technology, India
  35. Institute for Studies in Theoretical Physics and Mathematics, Iran
  36. Science Foundation, Ireland
  37. Istituto Nazionale di Fisica Nucleare, Italy
  38. Ministry of Science, ICT and Future Planning, Republic of Korea
  39. National Research Foundation (NRF), Republic of Korea
  40. Ministry of Education and Science of the Republic of Latvia
  41. Lithuanian Academy of Sciences
  42. Ministry of Education (Malaysia)
  43. University of Malaya (Malaysia)
  44. Ministry of Science of Montenegro
  45. Mexican Funding Agency (BUAP)
  46. Mexican Funding Agency (CINVESTAV)
  47. Mexican Funding Agency (CONACYT)
  48. Mexican Funding Agency (LNS)
  49. Mexican Funding Agency (SEP)
  50. Mexican Funding Agency (UASLP-FAI)
  51. Ministry of Business, Innovation and Employment, New Zealand
  52. Pakistan Atomic Energy Commission
  53. Ministry of Science and Higher Education, Poland
  54. National Science Center, Poland
  55. Fundacao para a Ciencia e a Tecnologia, Portugal
  56. JINR, Dubna
  57. Ministry of Education and Science of the Russian Federation
  58. Federal Agency of Atomic Energy of the Russian Federation
  59. Russian Academy of Sciences
  60. Russian Foundation for Basic Research
  61. National Research Center Kurchatov Institute
  62. Ministry of Education, Science and Technological Development of Serbia
  63. Secretaria de Estado de Investigacion, Desarrollo e Innovacion, Spain
  64. Programa Consolider-Ingenio 2010, Spain
  65. Plan Estatal de Investigacion Cientifica y Tecnica y de Innovacion 2017-2020 del Principado de Asturias, Spain [IDI-2018-000174]
  66. Fondo Europeo de Desarrollo Regional, Spain
  67. Ministry of Science, Technology and Research, Sri Lanka
  68. Swiss Funding Agency (ETH Board)
  69. Swiss Funding Agency (ETH Zurich)
  70. Swiss Funding Agency (PSI)
  71. Swiss Funding Agency (SNF)
  72. Swiss Funding Agency (UniZH)
  73. Swiss Funding Agency (Canton Zurich)
  74. Swiss Funding Agency (SER)
  75. Ministry of Science and Technology, Taipei
  76. Thailand Center of Excellence in Physics
  77. Institute for the Promotion of Teaching Science and Technology of Thailand
  78. Special Task Force for Activating Research
  79. National Science and Technology Development Agency of Thailand
  80. Scientific and Technical Research Council of Turkey
  81. Turkish Atomic Energy Authority
  82. National Academy of Sciences of Ukraine
  83. Science and Technology Facilities Council, U.K.
  84. U.S. Department of Energy
  85. U.S. National Science Foundation
  86. Marie-Curie program (European Union)
  87. European Research Council (European Union) [675440, 752730, 765710]
  88. Horizon 2020 (European Union) [675440, 752730, 765710]
  89. Leventis Foundation
  90. A.P. Sloan Foundation
  91. Alexander von Humboldt Foundation
  92. Belgian Federal Science Policy Office
  93. Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium)
  94. Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
  95. F.R.S.-FNRS (Belgium) under the Excellence of ScienceEOS-be.h project [30820817]
  96. FWO (Belgium) under the Excellence of ScienceEOS-be.h project [30820817]
  97. Beijing Municipal Science AMP
  98. Technology Commission [Z191100007219010]
  99. Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
  100. Lendulet (Momentum) Program of the Hungarian Academy of Sciences
  101. Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences
  102. New National Excellence Program UNKP
  103. NKFIA (Hungary) [123842, 123959, 124845, 124850, 125105, 128713, 128786, 129058]
  104. Council of Scientific and Industrial Research, India
  105. HOMING PLUS program of the Foundation for Polish Science
  106. European Union, Regional Development Fund
  107. Mobility Plus program of the Ministry of Science and Higher Education
  108. National Science Center (Poland) [Harmonia 2014/14/M/ST2/00428, Opus 2014/13/B/ST2/02543, 2014/15/B/ST2/03998, 2015/19/B/ST2/02861, Sonata-bis 2012/07/E/ST2/01406]
  109. National Priorities Research Program by Qatar National Research Fund
  110. Ministry of Science and Higher Education (Russia) [02.a03.21.0005]
  111. Tomsk PolytechnicUniversity Competitiveness Enhancement Program (Russia)
  112. Nauka Project (Russia) [FSWW-2020-0008]
  113. Programa de Excelencia Maria de Maeztu
  114. Programa Severo Ochoa del Principado de Asturias
  115. Thalis program - EU-ESF
  116. Aristeia program - EU-ESF
  117. Greek NSRF
  118. Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
  119. Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand)
  120. Kavli Foundation
  121. Nvidia Corporation
  122. SuperMicro Corporation
  123. Welch Foundation [C-1845]
  124. Weston Havens Foundation (U.S.A.)
  125. STFC [ST/K001639/1, ST/H000925/2, ST/N001273/1, ST/S000739/1, ST/L005603/1, ST/M004775/1, ST/K003542/1, ST/S00078X/1] Funding Source: UKRI
  126. Science and Technology Facilities Council [ST/M004775/1, ST/L005603/1, ST/K003542/1, ST/H000925/2, ST/K001639/1, ST/N001273/1] Funding Source: researchfish

向作者/读者索取更多资源

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.

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