Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/115051
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Type: Journal article
Title: Measurement of the photon identification efficiencies with the ATLAS detector using LHC Run-1 data
Author: Aaboud, M.
Aad, G.
Abbott, B.
Abdallah, J.
Abdinov, O.
Abeloos, B.
Aben, R.
AbouZeid, O.S.
Abraham, N.L.
Abramowicz, H.
Abreu, H.
Abreu, R.
Abulaiti, Y.
Acharya, B.S.
Adamczyk, L.
Adams, D.L.
Adelman, J.
Adomeit, S.
Adye, T.
Affolder, A.A.
et al.
Citation: European Physical Journal C: Particles and Fields, 2016; 76(12):666-1-666-42
Publisher: Springer
Issue Date: 2016
ISSN: 1434-6044
1434-6052
Statement of
Responsibility: 
M. Aaboud ... P. Jackson ... L. Lee ... A. Petridis ... M.J. White ... [et al.] (The ATLAS Collaboration)
Abstract: The algorithms used by the ATLAS Collaboration to reconstruct and identify prompt photons are described. Measurements of the photon identification efficiencies are reported, using 4.9 fb⁻¹ of pp collision data collected at the LHC at s√ = 7 TeV and 20.3 fb⁻¹ at s√ = 8 TeV. The efficiencies are measured separately for converted and unconverted photons, in four different pseudorapidity regions, for transverse momenta between 10 GeV and 1.5 TeV. The results from the combination of three data-driven techniques are compared to the predictions from a simulation of the detector response, after correcting the electromagnetic shower momenta in the simulation for the average differences observed with respect to data. Data-to-simulation efficiency ratios used as correction factors in physics measurements are determined to account for the small residual efficiency differences. These factors are measured with uncertainties between 0.5% and 10% in 7 TeV data and between 0.5% and 5.6% in 8 TeV data, depending on the photon transverse momentum and pseudorapidity.
Keywords: ATLAS Collaboration
Rights: © CERN for the benefit of the ATLAS collaboration 2016. This article is published with open access at Springerlink.com. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecomm ons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Funded by SCOAP3.
DOI: 10.1140/epjc/s10052-016-4507-9
Grant ID: ARC
Published version: http://dx.doi.org/10.1140/epjc/s10052-016-4507-9
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