Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/115015
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Type: Journal article
Title: Measurement of lepton differential distributions and the top quark mass in tt¯ production in pp collisions at √s=8 TeV with the ATLAS detector
Other Titles: Measurement of lepton differential distributions and the top quark mass in tt -bar production in pp collisions at root s=8 TeV with the ATLAS detector
Author: Aaboud, M.
Aad, G.
Abbott, B.
Abdinov, O.
Abeloos, B.
Abidi, S.
AbouZeid, O.
Abraham, N.
Abramowicz, H.
Abreu, H.
Abreu, R.
Abulaiti, Y.
Acharya, B.
Adachi, S.
Adamczyk, L.
Adelman, J.
Adersberger, M.
Adye, T.
Affolder, A.
Afik, Y.
et al.
Citation: European Physical Journal C: Particles and Fields, 2017; 77(11):804-1-804-66
Publisher: Springer
Issue Date: 2017
ISSN: 1434-6044
1434-6052
Statement of
Responsibility: 
M. Aaboud ... P. Jackson ... A. Petridis ... M.J. White ... [et al.] (The ATLAS Collaboration)
Abstract: This paper presents single lepton and dilepton kinematic distributions measured in dileptonic tt¯ events produced in 20.2fb−1 of s√=8 TeV pp collisions recorded by the ATLAS experiment at the LHC. Both absolute and normalised differential cross-sections are measured, using events with an opposite-charge eμ pair and one or two b-tagged jets. The cross-sections are measured in a fiducial region corresponding to the detector acceptance for leptons, and are compared to the predictions from a variety of Monte Carlo event generators, as well as fixed-order QCD calculations, exploring the sensitivity of the cross-sections to the gluon parton distribution function. Some of the distributions are also sensitive to the top quark pole mass; a combined fit of NLO fixed-order predictions to all the measured distributions yields a top quark mass value of mpolet=173.2±0.9±0.8±1.2 GeV, where the three uncertainties arise from data statistics, experimental systematics, and theoretical sources.
Keywords: ATLAS Collaboration
Rights: © CERN for the benefit of the ATLAS collaboration 2017. This article is an open access publication. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecomm ons.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/s10052-017-5349-9
Grant ID: ARC
Published version: http://dx.doi.org/10.1140/epjc/s10052-017-5349-9
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