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  4. Measurement of the top quark pole mass using t t ¯ $$ \textrm{t}\overline{\textrm{t}} $$ +jet events in the dilepton final state in proton-proton collisions at s $$ \sqrt{s} $$ = 13 TeV

Measurement of the top quark pole mass using t t ¯ $$ \textrm{t}\overline{\textrm{t}} $$ +jet events in the dilepton final state in proton-proton collisions at s $$ \sqrt{s} $$ = 13 TeV

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Author(s)
Tumasyan, A.
•
Adam, W.
•
Andrejkovic, J. W.
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Bergauer, T.
•
Chatterjee, S.
•
Damanakis, K.
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Dragicevic, M.
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Escalante Del Valle, A.
•
Hussain, P. S.
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Jeitler, M.
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Date Issued
July 10, 2023
Publisher
Springer Berlin Heidelberg
Citation
Journal of High Energy Physics. 2023 Jul 10;2023(7):77
Version
Final published version
Abstract
Abstract A measurement of the top quark pole mass m t pole $$ {m}_{\textrm{t}}^{\textrm{pole}} $$ in events where a top quark-antiquark pair ( t t ¯ $$ \textrm{t}\overline{\textrm{t}} $$ ) is produced in association with at least one additional jet ( t t ¯ $$ \textrm{t}\overline{\textrm{t}} $$ +jet) is presented. This analysis is performed using proton-proton collision data at s $$ \sqrt{s} $$ = 13 TeV collected by the CMS experiment at the CERN LHC, corresponding to a total integrated luminosity of 36.3 fb−1. Events with two opposite-sign leptons in the final state (e+e−, μ+μ−, e±μ∓) are analyzed. The reconstruction of the main observable and the event classification are optimized using multivariate analysis techniques based on machine learning. The production cross section is measured as a function of the inverse of the invariant mass of the t t ¯ $$ \textrm{t}\overline{\textrm{t}} $$ +jet system at the parton level using a maximum likelihood unfolding. Given a reference parton distribution function (PDF), the top quark pole mass is extracted using the theoretical predictions at next-to-leading order. For the ABMP16NLO PDF, this results in m t pole $$ {m}_{\textrm{t}}^{\textrm{pole}} $$ = 172.93 ± 1.36 GeV.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Creative Commons Attribution
http://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/151122
DOI of Published Version
https://doi.org/10.1007/JHEP07(2023)077
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