Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1

Aad, G, Abbott, B, Abdallah, J, Abdinov, O, Aben, R, Abolins, M, AbouZeid, OS, Abramowicz, H, Abreu, H, Abreu, R
et al (show 2863 more authors) (2017) Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1. EUROPEAN PHYSICAL JOURNAL C, 77 (7). 490-.

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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 <i>topological cell clusters</i> 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.

Item Type: Article
Additional Information: 83 pages plus author list (100 pages in total), 44 figures, 3 tables, final version published in EPJC. All figures including auxiliary figures are available at
Uncontrolled Keywords: ATLAS Collaboration, ATLAS Collaboration, ATLAS Collaboration
Depositing User: Symplectic Admin
Date Deposited: 14 Aug 2017 15:48
Last Modified: 19 Jan 2023 06:57
DOI: 10.1140/epjc/s10052-017-5004-5
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