Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV
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Author
Berlendis, S.Cheu, E.
Delitzsch, C.M.
Johns, K.A.
Jones, S., I
Lampl, W.
LeBlanc, M.
Leone, R.
Loch, P.
Rutherfoord, J.P.
Varnes, E.W.
Zhou, Y.
Affiliation
Univ Arizona, Dept PhysIssue Date
2019-10
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SPRINGERCitation
ATLAS Collaboration, Aad, G., Abbott, B. et al. Eur. Phys. J. C (2019) 79: 836. https://doi.org/10.1140/epjc/s10052-019-7335-xJournal
EUROPEAN PHYSICAL JOURNAL CRights
© CERN for the benefit of the ATLAS collaboration 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
This paper describes a study of techniques for identifying Higgs bosons at high transverse momenta decaying into bottom-quark pairs, H -> b (b) over bar, for proton-proton collision data collected by the ATLAS detector at the Large Hadron Collider at a centre-of-mass energy root s = 13 TeV. These decays are reconstructed from calorimeter jets found with the anti-k(t) R = 1.0 jet algorithm. To tag Higgs bosons, a combination of requirements is used: b-tagging of R = 0.2 track-jets matched to the large-R calorimeter jet, and requirements on the jet mass and other jet substructure variables. The Higgs boson tagging efficiency and corresponding multijet and hadronic top-quark background rejections are evaluated using Monte Carlo simulation. Several benchmark tagging selections are defined for different signal efficiency targets. The modelling of the relevant input distributions used to tag Higgs bosons is studied in 36 fb(-1) of data collected in 2015 and 2016 using g -> b (b) over bar and Z(-> b (b) over bar)gamma event selections in data. Both processes are found to be well modelled within the statistical and systematic uncertainties.Note
Open access journalISSN
1434-6044EISSN
1434-6052Version
Final published versionSponsors
ANPCyT, ArgentinaANPCyT; YerPhI, Armenia; ARC, AustraliaAustralian Research Council; BMWFW, Austria; FWF, AustriaAustrian Science Fund (FWF); ANAS, AzerbaijanAzerbaijan National Academy of Sciences (ANAS); SSTC, Belarus; CNPq, BrazilNational Council for Scientific and Technological Development (CNPq); FAPESP, BrazilFundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP); NSERC, CanadaNatural Sciences and Engineering Research Council of Canada; NRC, Canada; CFI, CanadaCanada Foundation for Innovation; CERN; CONICYT, ChileComision Nacional de Investigacion Cientifica y Tecnologica (CONICYT); CAS, ChinaChinese Academy of Sciences; MOST, ChinaMinistry of Science and Technology, China; NSFC, ChinaNational Natural Science Foundation of China; COLCIEN-CIAS, ColombiaDepartamento Administrativo de Ciencia, Tecnologia e Innovacion Colciencias; MSMT CR, Czech RepublicMinistry of Education, Youth & Sports - Czech RepublicCzech Republic Government; MPO CR, Czech RepublicCzech Republic Government; VSC CR, Czech RepublicCzech Republic Government; DNRF, Denmark; DNSRC, DenmarkDanish Natural Science Research Council; IN2P3-CNRS, CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, GermanyFederal Ministry of Education & Research (BMBF); HGF, Germany; MPG, GermanyMax Planck Society; GSRT, GreeceGreek Ministry of Development-GSRT; RGC, Hong Kong SAR, ChinaHong Kong Research Grants Council; ISF, IsraelIsrael Science Foundation; Benoziyo Center, Israel; INFN, ItalyIstituto Nazionale di Fisica Nucleare; MEXT, JapanMinistry of Education, Culture, Sports, Science and Technology, Japan (MEXT); JSPS, JapanMinistry of Education, Culture, Sports, Science and Technology, Japan (MEXT)Japan Society for the Promotion of Science; CNRST, Morocco; NWO, The NetherlandsNetherlands Organization for Scientific Research (NWO)Netherlands Government; RCN, Norway; MNiSW, PolandMinistry of Science and Higher Education, Poland; NCN, Poland; FCT, PortugalFundacao para a Ciencia e a Tecnologia (FCT); MNE/IFA, Romania; MES of Russia, Russian FederationRussian Federation; NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS, SloveniaSlovenian Research Agency - Slovenia; MIZS, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Switzerland; SNSF, SwitzerlandSwiss National Science Foundation (SNSF); Canton of Bern, Switzerland; Canton of Geneva, Switzerland; MOST, TaiwanMinistry of Science and Technology, Taiwan; TAEK, TurkeyMinistry of Energy & Natural Resources - Turkey; STFC, UKScience & Technology Facilities Council (STFC); DOE, USAUnited States Department of Energy (DOE); NSF, USANational Science Foundation (NSF); BCKDF, Canada; CANARIE, Canada; CRC, Canada; Compute Canada, Canada; COST, European Union; ERC, European UnionEuropean Union (EU)European Research Council (ERC); ERDF, European UnionEuropean Union (EU); Horizon 2020, European Union; Marie SklodowskaCurie Actions, European UnionEuropean Union (EU); Investissements d' Avenir Labex and Idex, ANR, FranceFrench National Research Agency (ANR); DFG, GermanyGerman Research Foundation (DFG); AvH Foundation, GermanyAlexander von Humboldt Foundation; Herakleitos programme; Thales programme; Aristeia programme; EU-ESFEuropean Union (EU); Greek NSRF, Greece; BSF-NSF, Israel; GIF, IsraelGerman-Israeli Foundation for Scientific Research and Development; CERCAProgramme Generalitat de Catalunya, SpainGeneralitat de Catalunya; Royal Society, UKRoyal Society of London; Leverhulme Trust, UKLeverhulme Trustae974a485f413a2113503eed53cd6c53
10.1140/epjc/s10052-019-7335-x
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Except where otherwise noted, this item's license is described as © CERN for the benefit of the ATLAS collaboration 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

