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...

Descripción completa

Detalles Bibliográficos
Autor principal: Aad, G.
Formato: JOUR
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_14346044_v77_n7_p_Aad
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_14346044_v77_n7_p_Aad
record_format dspace
spelling todo:paper_14346044_v77_n7_p_Aad2023-10-03T16:15:30Z Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1 Aad, G. 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. © 2017, CERN for the benefit of the ATLAS collaboration. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_14346044_v77_n7_p_Aad
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
description 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. © 2017, CERN for the benefit of the ATLAS collaboration.
format JOUR
author Aad, G.
spellingShingle Aad, G.
Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
author_facet Aad, G.
author_sort Aad, G.
title Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
title_short Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
title_full Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
title_fullStr Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
title_full_unstemmed Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1
title_sort topological cell clustering in the atlas calorimeters and its performance in lhc run 1
url http://hdl.handle.net/20.500.12110/paper_14346044_v77_n7_p_Aad
work_keys_str_mv AT aadg topologicalcellclusteringintheatlascalorimetersanditsperformanceinlhcrun1
_version_ 1807323011068461056

Ejemplares similares