Measurement of the charge asymmetry in top-quark pair production in the lepton-plus-jets final state in pp collision data at s√=8TeV with the ATLAS detector

2016 | journal article. A publication with affiliation to the University of Göttingen.

Erratum to this publication

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Measurement of the charge asymmetry in top-quark pair production in the lepton-plus-jets final state in pp collision data at s√=8TeV with the ATLAS detector​
Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M. & AbouZeid, O. S. et al.​ (2016) 
The European Physical Journal C76(87).​ DOI: https://doi.org/10.1140/epjc/s10052-016-3910-6 

Documents & Media

License

Published Version

Attribution 4.0 CC BY 4.0

Details

Authors Group
ATLAS Collaboration
The authors list is uncomplete:
Authors
Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; Zwalinski, L.
Abstract
This paper reports inclusive and differential measurements of the tt¯ charge asymmetry AC in 20.3 fb−1 of s√=8 TeV pp collisions recorded by the ATLAS experiment at the Large Hadron Collider at CERN. Three differential measurements are performed as a function of the invariant mass, transverse momentum and longitudinal boost of the tt¯ system. The tt¯ pairs are selected in the single-lepton channels (e or μ) with at least four jets, and a likelihood fit is used to reconstruct the tt¯ event kinematics. A Bayesian unfolding procedure is performed to infer the asymmetry at parton level from the observed data distribution. The inclusive tt¯ charge asymmetry is measured to be AC=0.009±0.005 (stat. + syst.). The inclusive and differential measurements are compatible with the values predicted by the Standard Model.
Issue Date
2016
Journal
The European Physical Journal C 
Project
info:eu-repo/grantAgreement/EC/FP7/246806/EU/European Particle physics Latin American NETwork/EPLANET
Organization
Fakultät für Physik 
ISSN
1434-6044
Language
English

Reference

Citations


Social Media