4.3 Article

An embedding technique to determine ττ backgrounds in proton-proton collision data

期刊

JOURNAL OF INSTRUMENTATION
卷 14, 期 -, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1748-0221/14/06/P06032

关键词

Pattern recognition, cluster finding, calibration and fitting methods; Performance of High Energy Physics Detectors

资金

  1. Austrian Federal Ministry of Education, Science and Research
  2. Austrian Science Fund
  3. Belgian Fonds de la Recherche Scientifique
  4. Fonds voor Wetenschappelijk Onderzoek
  5. CNPq
  6. CAPES
  7. FAPERJ
  8. FAPERGS
  9. FAPESP
  10. Bulgarian Ministry of Education and Science
  11. CERN
  12. Chinese Academy of Sciences
  13. Ministry of Science and Technology
  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 Promotion Foundation, Cyprus
  19. Secretariat for Higher Education, Science, Technology and Innovation, Ecuador
  20. Ministry of Education and Research, Estonia
  21. Estonian Research Council, Estonia [IUT23-4, IUT23-6]
  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, Germany
  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
  43. University of Malaya (Malaysia)
  44. Ministry of Science of Montenegro
  45. BUAP
  46. CINVESTAV
  47. CONACYT
  48. LNS
  49. SEP
  50. 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, Programa Consolider-Ingenio 2010, Plan Estatal de Investigacion Cientifica y Tecnica y de Innovacion 2013-2016, Plan de Ciencia, Tecnologia e Innovacion 2013-2017 del Principado de Asturias, S
  64. Fondo Europeo de Desarrollo Regional, Spain
  65. Ministry of Science, Technology and Research, Sri Lanka
  66. ETH Board
  67. PSI
  68. SNF
  69. UniZH
  70. Canton Zurich
  71. SER
  72. Ministry of Science and Technology, Taipei
  73. Thailand Center of Excellence in Physics
  74. Institute for the Promotion of Teaching Science and Technology of Thailand
  75. Special Task Force for Activating Research
  76. National Science and Technology Development Agency of Thailand
  77. Scientific and Technical Research Council of Turkey
  78. Turkish Atomic Energy Authority
  79. National Academy of Sciences of Ukraine, Ukraine
  80. State Fund for Fundamental Researches, Ukraine
  81. Science and Technology Facilities Council, U.K.
  82. US Department of Energy
  83. US National Science Foundation
  84. Marie-Curie program (European Union)
  85. European Research Council (European Union)
  86. Horizon 2020 (European Union) [675440]
  87. Leventis Foundation
  88. A. P. Sloan Foundation
  89. Alexander von Humboldt Foundation
  90. Belgian Federal Science Policy Office
  91. Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium)
  92. Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
  93. F.R.S.-FNRS (Belgium)
  94. FWO (Belgium) [30820817]
  95. Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
  96. Hungarian Academy of Sciences (Hungary)
  97. New National Excellence Program UNKP (Hungary)
  98. NKFIA (Hungary) [123842, 123959, 124845, 124850, 125105]
  99. Council of Scientific and Industrial Research, India
  100. HOMING PLUS program of the Foundation for Polish Science
  101. European Union, Regional Development Fund
  102. Mobility Plus program of the Ministry of Science and Higher Education
  103. 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]
  104. National Priorities Research Program by Qatar National Research Fund
  105. Programa de Excelencia Maria de Maeztu
  106. Programa Severo Ochoa del Principado de Asturias
  107. Thalis program
  108. Aristeia program
  109. EU-ESF
  110. Greek NSRF
  111. Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
  112. Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand)
  113. Welch Foundation [C-1845]
  114. Weston Havens Foundation (U.S.A.)
  115. Science and Technology Facilities Council [ST/N000242/1] Funding Source: researchfish
  116. STFC [ST/N000242/1] Funding Source: UKRI

向作者/读者索取更多资源

An embedding technique is presented to estimate standard model tau tau backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed mu mu events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at root s = 13 TeV corresponding to an integrated luminosity of 41.5 fb(-1).

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