Jet reconstruction and performance using particle flow with the ATLAS Detector

This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb - 1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, in...

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Detalles Bibliográficos
Autor principal: Aaboud, M.
Formato: JOUR
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_14346044_v77_n7_p_Aaboud
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_14346044_v77_n7_p_Aaboud
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spelling todo:paper_14346044_v77_n7_p_Aaboud2023-10-03T16:15:30Z Jet reconstruction and performance using particle flow with the ATLAS Detector Aaboud, M. This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb - 1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability. © 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_Aaboud
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
description This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb - 1 of ATLAS data from 8 TeV proton–proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability. © 2017, CERN for the benefit of the ATLAS collaboration.
format JOUR
author Aaboud, M.
spellingShingle Aaboud, M.
Jet reconstruction and performance using particle flow with the ATLAS Detector
author_facet Aaboud, M.
author_sort Aaboud, M.
title Jet reconstruction and performance using particle flow with the ATLAS Detector
title_short Jet reconstruction and performance using particle flow with the ATLAS Detector
title_full Jet reconstruction and performance using particle flow with the ATLAS Detector
title_fullStr Jet reconstruction and performance using particle flow with the ATLAS Detector
title_full_unstemmed Jet reconstruction and performance using particle flow with the ATLAS Detector
title_sort jet reconstruction and performance using particle flow with the atlas detector
url http://hdl.handle.net/20.500.12110/paper_14346044_v77_n7_p_Aaboud
work_keys_str_mv AT aaboudm jetreconstructionandperformanceusingparticleflowwiththeatlasdetector
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