Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/124073
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Type: Journal article
Title: Electron and photon energy calibration with the ATLAS detector using 2015-2016 LHC proton-proton collision data
Author: Aaboud, M.
Aad, G.
Abbott, B.
Abbott, D.C.
Abdinov, O.
Abeloos, B.
Abhayasinghe, D.K.
Abidi, S.H.
AbouZeid, O.S.
Abraham, N.L.
Abramowicz, H.
Abreu, H.
Abulaiti, Y.
Acharya, B.S.
Adachi, S.
Adam, L.
Adamczyk, L.
Adamek, L.
Adelman, J.
Adersberger, M.
et al.
Citation: Journal of Instrumentation, 2019; 14(3):PO3017-[1],1-P03017-58
Publisher: IOP Publishing
Issue Date: 2019
ISSN: 1748-0221
1748-0221
Statement of
Responsibility: 
M. Aaboud … D. Duvnjak … P. Jackson … J.L. Oliver … A. Petridis … A. Qureshi … A.S. Sharma … M.J. White … et al. [The ATLAS Collaboration]
Abstract: This paper presents the electron and photon energy calibration obtained with the ATLAS detector using about 36 fb⁻¹ of LHC proton-proton collision data recorded at √s = 13 TeV in 2015 and 2016. The different calibration steps applied to the data and the optimization of the reconstruction of electron and photon energies are discussed. The absolute energy scale is set using a large sample of Z boson decays into electron-positron pairs. The systematic uncertainty in the energy scale calibration varies between 0.03% to 0.2% in most of the detector acceptance for electrons with transverse momentum close to 45 GeV . For electrons with transverse momentum of 10 GeV the typical uncertainty is 0.3% to 0.8% and it varies between 0.25% and 1% for photons with transverse momentum around 60 GeV . Validations of the energy calibration with J/ψ → e⁺e⁻ decays and radiative Z boson decays are also presented.
Keywords: Calorimeter methods; Pattern recognition, cluster finding, calibration and fitting methods; Performance of High Energy Physics Detectors
Rights: © 2019 CERN for the benefit of the ATLAS collaboration. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
DOI: 10.1088/1748-0221/14/03/P03017
Grant ID: ARC
Published version: http://dx.doi.org/10.1088/1748-0221/14/03/p03017
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