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Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics.ORCID iD: 0000-0002-1253-8583
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, High Energy Physics. II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany.
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Number of Authors: 29302019 (English)In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 79, no 10, article id 836Article in journal (Refereed) Published
Abstract [en]

This paper describes a study of techniques for identifying Higgs bosons at high transverse momenta decaying into bottom-quark pairs, H → bb‾, for proton-proton collision data collected by the ATLAS detector at the Large Hadron Collider at a centre-of-mass energy √s = 13 TeV. These decays are reconstructed from calorimeter jets found with the anti-kt 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 → bb‾ and Z(→ bb‾)γ event selections in data. Both processes are found to be well modelled within the statistical and systematic uncertainties.

Place, publisher, year, edition, pages
2019. Vol. 79, no 10, article id 836
National Category
Subatomic Physics
Identifiers
URN: urn:nbn:se:uu:diva-396737DOI: 10.1140/epjc/s10052-019-7335-xISI: 000490454500014OAI: oai:DiVA.org:uu-396737DiVA, id: diva2:1373174
Funder
Swedish Research CouncilEU, European Research CouncilEU, Horizon 2020Danish National Research FoundationThe Research Council of NorwayKnut and Alice Wallenberg FoundationGerman Research Foundation (DFG)
Note

For complete list of authors see http://dx.doi.org/10.1140/epjc/s10052-019-7335-x

Available from: 2019-11-26 Created: 2019-11-26 Last updated: 2019-11-26Bibliographically approved

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Asimakopoulou, Eleni M.Bergeås Kuutmann, ElinBokan, PetarBrenner, RichardEkelöf, TordEllajosyula, VenugopalEllert, MattiasFerrari, ArnaudIsacson, Max F.Mårtensson, Mikael U. F.Sales De Bruin, Pedro H.
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