Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/123462
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Type: Journal article
Title: Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV
Author: Aad, G.
Abbott, B.
Abbott, D.C.
Abdinov, O.
Abud, A.A.
Abeling, K.
Abhayasinghe, D.K.
Abidi, S.H.
AbouZeid, O.S.
Abraham, N.L.
Abramowicz, H.
Abreu, H.
Abulaiti, Y.
Acharya, B.S.
Achkar, B.
Adachi, S.
Adam, L.
Bourdarios, C.A.
Adamczyk, L.
Adamek, L.
et al.
Citation: European Physical Journal C: Particles and Fields, 2019; 79(10):836-1-836-38
Publisher: Springer Nature
Issue Date: 2019
ISSN: 1434-6044
1434-6052
Statement of
Responsibility: 
G. Aad … D. Duvnjak … P. Jackson … J.L. Oliver … A. Petridis … A.S. Sharma … M.J. White … et al. [The ATLAS Collaboration]
Abstract: 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.
Rights: © CERN for the benefit of the ATLAS collaboration 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Funded by SCOAP3.
DOI: 10.1140/epjc/s10052-019-7335-x
Grant ID: ARC
Published version: http://dx.doi.org/10.1140/epjc/s10052-019-7335-x
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