期刊
JOURNAL OF INSTRUMENTATION
卷 8, 期 -, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/1748-0221/8/04/P04013
关键词
Large detector-systems performance; Pattern recognition, cluster finding, calibration and fitting methods; Performance of High Energy Physics Detectors
资金
- Austrian Federal Ministry of Science and Research
- Belgium Fonds de la Recherche Scientifique
- Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPESP
- Bulgarian Ministry of Education and Science
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- National Natural Science Foundation of China
- Colombian Funding Agency (COLCIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Research Promotion Foundation, Cyprus
- Ministry of Education and Research [SF0690030s09]
- European Regional Development Fund, Estonia
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucleaire et de Physique des Particules / CNRS, France
- Commissariat a l' Energie Atomique et aux Energies Alternatives / CEA, France
- Bundesministerium fur Bildung und Forschung, Germany
- Deutsche Forschungsgemeinschaft, Germany
- Helmholtz-Gemeinschaft Deutscher Forschungszentren, Germany
- General Secretariat for Research and Technology, Greece
- National Scientific Research Foundation
- National Office for Research and Technology, Hungary
- Department of Atomic Energy and the Department of Science and Technology, India
- Institute for Studies in Theoretical Physics and Mathematics, Iran
- Science Foundation, Ireland
- Istituto Nazionale di Fisica Nucleare, Italy
- Korean Ministry of Education, Science and Technology, India
- World Class University program of NRF, Korea
- Lithuanian Academy of Sciences
- CINVESTAV
- CONACYT
- SEP
- UASLP-FAI
- Ministry of Science and Innovation, New Zealand
- Pakistan Atomic Energy Commission
- Ministry of Science and Higher Education
- National Science Centre, Poland
- Fundacao para a Ciencia e a Tecnologia, Portugal
- JINR (Armenia)
- JINR (Belarus)
- JINR (Georgia)
- JINR (Ukraine)
- JINR (Uzbekistan)
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- Ministry of Science and Technological Development of Serbia
- Secretaria de Estado de Investigacion, Desarrollo e Innovacion, Spain
- Programa Consolider-Ingenio, Spain
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- National Science Council, Taipei
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- Science and Technology Facilities Council, UK
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council (European Union)
- Leventis Foundation
- A. P. Sloan Foundation
- Alexander von Humboldt Foundation
- Austrian Science Fund (FWF)
- Belgian Federal Science Policy Office
- Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Council of Science and Industrial Research, India
- Compagnia di San Paolo (Torino)
- Foundation for Polish Science
- European Union
- STFC [ST/K003844/1, ST/I505572/1, ST/J004901/1, ST/H00081X/2, ST/K001604/1, ST/L00609X/1, ST/I005912/1, ST/J005665/1, ST/F007094/1] Funding Source: UKRI
- Science and Technology Facilities Council [ST/L00609X/1 GRIDPP, ST/K001604/1 CMS Upgrade, ST/K001604/1 SuperNEMO, ST/J005665/1, ST/K001604/1 LHCb, ST/L00609X/1, ST/I505572/1, ST/J004901/1, ST/K003844/1, ST/I005912/1 GRIDPP, CMS, ST/K001604/1 DMUK, ST/K001604/1 LHCb Upgrades, ST/K001604/1 GRIDPP, ST/K001604/1 MICE/UKNF, ST/K003844/1 GRIDPP, GRIDPP, ST/I005912/1, ST/I003622/1 GRIDPP, ST/F007094/1, ST/K001604/1, ST/K001604/1 T2K] Funding Source: researchfish
- Direct For Mathematical & Physical Scien
- Division Of Physics [0969704, 1211067, 0969555] Funding Source: National Science Foundation
- Direct For Mathematical & Physical Scien
- Division Of Physics [1205960, 1151640] Funding Source: National Science Foundation
At the Large Hadron Collider, the identification of jets originating from b quarks is important for searches for new physics and for measurements of standard model processes. A variety of algorithms has been developed by CMS to select b-quark jets based on variables such as the impact parameters of charged-particle tracks, the properties of reconstructed decay vertices, and the presence or absence of a lepton, or combinations thereof. The performance of these algorithms has been measured using data from proton-proton collisions at the LHC and compared with expectations based on simulation. The data used in this study were recorded in 2011 at root s = 7TeV for a total integrated luminosity of 5.0 fb(-1). The efficiency for tagging b-quark jets has been measured in events from multijet and t-quark pair production. CMS has achieved a b-jet tagging efficiency of 85% for a light-parton misidentification probability of 10% in multijet events. For analyses requiring higher purity, a misidentification probability of only 1.5% has been achieved, for a 70% b-jet tagging efficiency.
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