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

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 s...

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Main Authors: Aad, Georges (Author) , Anders, Christoph (Author) , Baas, Alessandra Edda (Author) , Brandt, Oleg (Author) , Djuvsland, Julia Isabell (Author) , Dunford, Monica (Author) , Ferreira de Lima, Danilo Enoque (Author) , Geisler, Manuel Patrice (Author) , Giulini, Maddalena (Author) , Hanke, Paul (Author) , Jongmanns, Jan (Author) , Kluge, Eike-Erik (Author) , Kolb, Mathis (Author) , Kugel, Andreas (Author) , Lang, Valerie (Author) , Lisovyi, Mykhailo (Author) , Meyer zu Theenhausen, Hanno (Author) , Narrias Villar, Daniel Isaac (Author) , S̜ahinsoy, Merve (Author) , Schätzel, Sebastian (Author) , Scharf, Veit (Author) , Schöning, André (Author) , Schultz-Coulon, Hans-Christian (Author) , Sosa Corral, David E. (Author) , Stamen, Rainer (Author) , Starovoitov, Pavel (Author) , Suchek, Stanislav (Author) , Wessels, Martin (Author)
Corporate Author: ATLAS Collaboration (Author)
Format: Article (Journal)
Language:English
Published: 24 July 2017
In: The European physical journal. C, Particles and fields
Year: 2017, Volume: 77, Issue: 7
ISSN:1434-6052
DOI:10.1140/epjc/s10052-017-5004-5
Online Access:Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1140/epjc/s10052-017-5004-5
Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1140/epjc/s10052-017-5004-5
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Author Notes:ATLAS Collaboration
Description
Summary: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.
Item Description:ATLAS Collaboration: G. Aad, C.F. Anders, A.E. Baas, O. Brandt, J.I. Djuvsland, M. Dunford, D.E. Ferreira de Lima, M.P. Geisler, M. Giulini, P. Hanke, J. Jongmanns, E.-E. Kluge, M. Kolb, A. Kugel, V.S. Lang, M. Lisovyi, H. Meyer Zu Theenhausen, D.I. Narrias Villar, M. Sahinsoy, S. Schaetzel, V. Scharf, A. Schoening, H.-C. Schultz-Coulon, D. Sosa, R. Stamen, P. Starovoitov, S. Suchek, M. Wessels [und weitere]
Gesehen am 11.04.2018
Physical Description:Online Resource
ISSN:1434-6052
DOI:10.1140/epjc/s10052-017-5004-5

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