Identification of boosted, hadronically decaying W bosons and comparisons with ATLAS data taken at s√=8 TeV

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URI: http://hdl.handle.net/10481/63095
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Author
Aad, G.; Aguilar Saavedra, Juan Antonio; Atlas Collaboration
Editorial
Springer Nature
Date
2016-03-17
Referencia bibliográfica
Aad, G., Abbott, B., Abdallah, J. et al. Identification of boosted, hadronically decaying W bosons and comparisons with ATLAS data taken at s√=8 TeV. Eur. Phys. J. C 76, 154 (2016). [https://doi.org/10.1140/epjc/s10052-016-3978-z]
Sponsorship
ANPCyT; 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; IN2P3-CNRS, CEA-DSM/IRFU, France; GNSF, Georgia; Federal Ministry of Education & Research (BMBF); HGF, Germany; Max Planck Society; Greek Ministry of Development-GSRT; Hong Kong Research Grants Council; 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; Russian Federation; 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, Switzerland; Swiss National Science Foundation (SNSF); Canton of Bern, Switzerland; Canton of Geneva, Switzerland; Ministry of Science and Technology, Taiwan; Ministry of Energy & Natural Resources - Turkey; Science & Technology Facilities Council (STFC); United States Department of Energy (DOE); National Science Foundation (NSF); BCKDF, Canada; Canada Council, Canada; CANARIE, Canada; CRC, Canada; Compute Canada, Canada; FQRNT; Ontario Innovation Trust, Canada; European Union (EU); European Union (EU) European Research Council (ERC); Horizon, European Union; French National Research Agency (ANR); Region Auvergne-Rhone-Alpes; Fondation Partager le Savoir, France; German Research Foundation (DFG); Alexander von Humboldt Foundation; Herakleitos programme - EU-ESF; Thales programme - EU-ESF; Aristeia programme - EU-ESF; 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
Abstract
This paper reports a detailed study of techniques for identifying boosted, hadronically decaying W bosons using 20.3 fb−1 of proton–proton collision data collected by the ATLAS detector at the LHC at a centre-of-mass energy s√=8TeV. A range of techniques for optimising the signal jet mass resolution are combined with various jet substructure variables. The results of these studies in Monte Carlo simulations show that a simple pairwise combination of groomed jet mass and one substructure variable can provide a 50 % efficiency for identifying W bosons with transverse momenta larger than 200 GeV while maintaining multijet background efficiencies of 2–4 % for jets with the same transverse momentum. These signal and background efficiencies are confirmed in data for a selection of tagging techniques.
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