Performance of b-jet identification in the ATLAS experiment
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Large detector systems for particle and astroparticle physicsLarge detector-systems performancePattern recognitionCluster findingCalibration and fitting methodsPerformance of High Energy Physics Detectors
ATLAS Collaboration 2016 JINST 11 P04008 [https://doi.org/10.1088/1748-0221/11/04/P04008]
SponsorshipANPCyT; YerPhI, Armenia; Australian Research Council; BMWFW, Austria; Austrian Science Fund (FWF); Azerbaijan National Academy of Sciences (ANAS); SSTC, Belarus; National Council for Scientific and Technological Development (CNPq); Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP); Natural Sciences and Engineering Research Council of Canada; NRC, Canada; Canada Foundation for Innovation; CERN; Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT); Chinese Academy of Sciences; Ministry of Science and Technology, China; National Natural Science Foundation of China; Departamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias; Ministry of Education, Youth & Sports - Czech Republic Czech Republic Government; DNRF Denmark; Danish Natural Science Research Council; Lundbeckfonden; Centre National de la Recherche Scientifique (CNRS); CEA-DSM/IRFU, France; GNSF, Georgia; Federal Ministry of Education & Research (BMBF); HGF, Germany; Max Planck Society; Greek Ministry of Development-GSRT; RGC, China; Hong Kong SAR, China; Israel Science Foundation; I-CORE, Israel; Benoziyo Center, Israel; Istituto Nazionale di Fisica Nucleare (INFN); Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Japan Society for the Promotion of Science; CNRST, Morocco; FOM (The Netherlands) Netherlands Government Netherlands Organization for Scientific Research (NWO) Netherlands Government; RCN, Norway; Ministry of Science and Higher Education, Poland; NCN, Poland; Portuguese Foundation for Science and Technology; MNE/IFA, Romania; MES of Russia; NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; Slovenian Research Agency - Slovenia; MIZS, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Geneva, Switzerland; SNSF, Geneva, Switzerland; Cantons of Bern, Geneva, Switzerland; Ministry of Science and Technology, Taiwan; Ministry of Energy & Natural Resources - Turkey; United States Department of Energy (DOE); National Science Foundation (NSF); BCKDF; Canada Council; CANARIE; Compute Canada; FQRNT; Ontario Innovation Trust, Canada; EPLANET; Australian Government Department of Industry, Innovation and Science Cooperative Research Centres (CRC) Programme; European Research Council (ERC); FP7; Horizon 2020; Marie Sklodowska-Curie Actions; European Union (EU); French National Research Agency (ANR); French National Research Agency (ANR); Region Auvergne-Rhone-Alpes; German Research Foundation (DFG); Alexander von Humboldt Foundation; European Union (EU); Greek Ministry of Development-GSRT; US-Israel Binational Science Foundation; German-Israeli Foundation for Scientific Research and Development; Minerva, Israel; BRF, Norway; Royal Society of London; Leverhulme Trust; ICREA; Science & Technology Facilities Council (STFC) PP/E000444/1 1090338 ST/N000331/1 GRIDPP 1366825 1093272 ST/N000463/1
The identification of jets containing b hadrons is important for the physics programme of the ATLAS experiment at the Large Hadron Collider. Several algorithms to identify jets containing b hadrons are described, ranging from those based on the reconstruction of an inclusive secondary vertex or the presence of tracks with large impact parameters to combined tagging algorithms making use of multi-variate discriminants. An independent b-tagging algorithm based on the reconstruction of muons inside jets as well as the b-tagging algorithm used in the online trigger are also presented. The b-jet tagging efficiency, the c-jet tagging efficiency and the mistag rate for light flavour jets in data have been measured with a number of complementary methods. The calibration results are presented as scale factors defined as the ratio of the efficiency (or mistag rate) in data to that in simulation. In the case of b jets, where more than one calibration method exists, the results from the various analyses have been combined taking into account the statistical correlation as well as the correlation of the sources of systematic uncertainty.