Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/102671
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Type: Journal article
Title: Measurement of the underlying event in jet events from 7 TeV proton-proton collisions with the ATLAS detector
Author: Aad, G.
ATLAS Collaboration,
Citation: European Physical Journal C: Particles and Fields, 2014; 74(8):1-29
Publisher: Springer
Issue Date: 2014
ISSN: 1434-6052
1434-6052
Statement of
Responsibility: 
G. Aad … P. Jackson … L. Lee … A. Petridis … N. Soni ... M. White ... et al. (The ATLAS Collaboration)
Abstract: Distributions sensitive to the underlying event in QCD jet events have been measured with the ATLAS detector at the LHC, based on 37 pb−1 of proton–proton collision data collected at a centre-of-mass energy of 7 TeV. Charged-particle mean pT and densities of all-particle ET and charged-particle multiplicity and pT have been measured in regions azimuthally transverse to the hardest jet in each event. These are presented both as one-dimensional distributions and with their mean values as functions of the leading-jet transverse momentum from 20 to 800 GeV. The correlation of charged-particle mean pT with charged-particle multiplicity is also studied, and the ET densities include the forward rapidity region; these features provide extra data constraints for Monte Carlo modelling of colour reconnection and beam-remnant effects respectively. For the first time, underlying event observables have been computed separately for inclusive jet and exclusive dijet event selections, allowing more detailed study of the interplay of multiple partonic scattering and QCD radiation contributions to the underlying event. Comparisons to the predictions of different Monte Carlo models show a need for further model tuning, but the standard approach is found to generally reproduce the features of the underlying event in both types of event selection.
Rights: © The Author(s) 2014. © CERN for the benefit of the ATLAS collaboration 2014. This article is published with open access at Springerlink.com. This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. Funded by SCOAP3 / License Version CC BY 4.0.
DOI: 10.1140/epjc/s10052-014-2965-5
Published version: http://dx.doi.org/10.1140/epjc/s10052-014-2965-5
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