Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/114971
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Type: Journal article
Title: Measurement of fiducial differential cross sections of gluon-fusion production of Higgs bosons decaying to WW ∗→eνμν with the ATLAS detector at s√=8 TeV
Other Titles: Measurement of fiducial differential cross sections of gluon-fusion production of Higgs bosons decaying to WW <NON-ASCII>∗(8727)<NON-ASCII>-> e nu mu nu with the ATLAS detector at s root=8 TeV
Author: The ATLAS collaboration,
Aad, G.
Abbott, B.
Abdallah, J.
Abdinov, O.
Abeloos, B.
Aben, R.
Abolins, M.
AbouZeid, O.
Abramowicz, H.
Abreu, H.
Abreu, R.
Abulaiti, Y.
Acharya, B.
Adamczyk, L.
Adams, D.
Adelman, J.
Adomeit, S.
Adye, T.
Affolder, A.
et al.
Citation: The Journal of High Energy Physics, 2016; 2016(8):104-1-104-62
Publisher: Springer
Issue Date: 2016
ISSN: 1126-6708
1029-8479
Statement of
Responsibility: 
G. Aad ... L. Lee ... P. Jackson … A. Petridis … M.J. White … et al. (ATLAS Collaboration)
Abstract: This paper describes a measurement of fiducial and differential cross sections of gluon-fusion Higgs boson production in the H → W W ∗→ eνμν channel, using 20.3 fb−1 of proton-proton collision data. The data were produced at a centre-of-mass energy of s√=8 TeV at the CERN Large Hadron Collider and recorded by the ATLAS detector in 2012. Cross sections are measured from the observed H→ W W ∗→ eνμν signal yield in categories distinguished by the number of associated jets. The total cross section is measured in a fiducial region defined by the kinematic properties of the charged leptons and neutrinos. Differential cross sections are reported as a function of the number of jets, the Higgs boson transverse momentum, the dilepton rapidity, and the transverse momentum of the leading jet. The jet-veto efficiency, or fraction of events with no jets above a given transverse momentum threshold, is also reported. All measurements are compared to QCD predictions from Monte Carlo generators and fixed-order calculations, and are in agreement with the Standard Model predictions.
Rights: © The Author(s) 2016. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.
DOI: 10.1007/JHEP08(2016)104
Published version: http://dx.doi.org/10.1007/jhep08(2016)104
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