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

0484438 - FZÚ 2018 RIV DE eng J - Journal Article
Aad, G. - Abbott, B. - Abdallah, J. - Chudoba, Jiří - Havránek, Miroslav - Hejbal, Jiří - Jakoubek, Tomáš - Kepka, Oldřich - Kupčo, Alexander - Kůs, Vlastimil - Lokajíček, Miloš - Lysák, Roman - Marčišovský, Michal - Mikeštíková, Marcela - Němeček, Stanislav - Penc, Ondřej - Šícho, Petr - Staroba, Pavel - Svatoš, Michal - Taševský, Marek - Vrba, Václav … Total 2873 authors
Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1.
European Physical Journal C. Roč. 77, č. 7 (2017), s. 1-87, č. článku 490. ISSN 1434-6044. E-ISSN 1434-6052
Institutional support: RVO:68378271
Keywords : CERN LHC Coll * ATLAS * electromagnetic * performance * track data analysis * data analysis method * experimental results * 7000 GeV-cms8000 GeV-cms
OECD category: Particles and field physics
Impact factor: 5.172, year: 2017

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.



Permanent Link: http://hdl.handle.net/11104/0279606