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Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
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Number of Authors: 28732017 (English)In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 77, no 7, article id 490Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. Vol. 77, no 7, article id 490
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Physical Sciences
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URN: urn:nbn:se:su:diva-147166DOI: 10.1140/epjc/s10052-017-5004-5ISI: 000406426400001OAI: oai:DiVA.org:su-147166DiVA, id: diva2:1143751
Available from: 2017-09-22 Created: 2017-09-22 Last updated: 2017-09-22Bibliographically approved

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Abulaiti, YimingÅkerstedt, HenrikÅsman, BarbroBendtz, KatarinaBertoli, GabrieleBessidskaia Bylund, OlgaBohm, ChristianClément, ChristopheCribbs, Wayne A.Hellman, StenJon-And, KerstinKhandanyan, HovhannesKlimek, PawelLundberg, OlofMilstead, David A.Moa, TorbjörnMolander, SimonPani, PriscillaPlucinski, PawelPöttgen, RuthRossetti, ValerioShcherbakova, AnnaSilverstein, Samuel B.Sjölin, JörgenStrandberg, SaraTylmad, MajaUghetto, Michaël
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