Measurement of distributions sensitive to the underlying event in inclusive Z boson production in pp collisions at s√ = 13 TeV with the ATLAS detector
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Aad2019_Article_MeasurementOfD ...
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Author
Berlendis, SCheu, E
Delitzsch, C M
Johns, K A
Jones, S
Lampl, W
LeBlanc, M
Leone, R
Loch, P
Rutherfoord, J P
Varnes, E W
Zhou, Y
Affiliation
Univ Arizona, Dept PhysIssue Date
2019-08-08
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Aad, G., Abbott, B., Abbott, D.C. et al. Eur. Phys. J. C (2019) 79: 666. https://doi.org/10.1140/epjc/s10052-019-7162-0Journal
EUROPEAN PHYSICAL JOURNAL CRights
Copyright © 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 presents measurements of charged-particle distributions sensitive to the properties of the underlying event in events containing a Z boson decaying into a muon pair. The data were obtained using the ATLAS detector at the LHC in proton-proton collisions at a centre-of-mass energy of 13 TeV with an integrated luminosity of 3.2 fb(-1). Distributions of the charged-particle multiplicity and of the charged-particle transverse momentum are measured in regions of the azimuth defined relative to the Z boson direction. The measured distributions are compared with the predictions of various Monte Carlo generators which implement different underyling event models. The Monte Carlo model predictions qualitatively describe the data well but with some significant discrepancies.Note
Open access journalISSN
1434-6044Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1140/epjc/s10052-019-7162-0
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Except where otherwise noted, this item's license is described as Copyright © 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/).