Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/115237
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Type: Journal article
Title: Reconstruction of primary vertices at the ATLAS experiment in Run 1 proton-proton collisions at the LHC
Author: Aaboud, M.
Aad, G.
Abbott, B.
Abdallah, J.
Abdinov, O.
Abeloos, B.
Aben, R.
AbouZeid, O.
Abraham, N.
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: European Physical Journal C: Particles and Fields, 2017; 77(5):332-1-332-35
Publisher: Springer
Issue Date: 2017
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: This paper presents the method and performance of primary vertex reconstruction in proton–proton collision data recorded by the ATLAS experiment during Run 1 of the LHC. The studies presented focus on data taken during 2012 at a centre-of-mass energy of √s = 8 TeV. The performance has been measured as a function of the number of interactions per bunch crossing over a wide range, from one to seventy. The measurement of the position and size of the luminous region and its use as a constraint to improve the primary vertex resolution are discussed. A longitudinal vertex position resolution of about 30 μm is achieved for events with high multiplicity of reconstructed tracks. The transverse position resolution is better than 20 μm and is dominated by the precision on the size of the luminous region. An analytical model is proposed to describe the primary vertex reconstruction efficiency as a function of the number of interactions per bunch crossing and of the longitudinal size of the luminous region. Agreement between the data and the predictions of this model is better than 3% up to seventy interactions per bunch crossing.
Keywords: ATLAS Collaboration
Rights: © CERN for the benefit of the CMS collaboration 2017. This article is an open access publication. 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/s10052-017-4887-5
Grant ID: ARC
Published version: http://dx.doi.org/10.1140/epjc/s10052-017-4887-5
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