Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/114916
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Type: Journal article
Title: Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
Author: Aad, G.
Abbott, B.
Abdallah, J.
Abdinov, O.
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.
Agatonovic-Jovin, T.
Agricola, J.
et al.
Citation: European Physical Journal C: Particles and Fields, 2017; 77(7):490-1-490-73
Publisher: Springer
Issue Date: 2017
ISSN: 1434-6044
1434-6052
Statement of
Responsibility: 
G. Aad … Paul D. Jackson … Lawrence Lee-Jr … Andreas Petridis … Nitesh Soni … Martin White … et al.
Abstract: The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.
Keywords: ATLAS Collaboration
Rights: © CERN for the benefit of the ATLAS collaboration 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.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.
DOI: 10.1140/epjc/s10052-017-5004-5
Published version: http://dx.doi.org/10.1140/epjc/s10052-017-5004-5
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