Algorithm for jet identification and reconstruction in densly populated calorimetric system

The jet reconstruction algorithm is developed under the condition of high particle density in the calorimetric system. The performance of reconstruction of hard QCD jets with initial parton energies 50-300 GeV is studied in central Pb--Pb collisions with a modified cone jet finder which includes an...

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Detalles Bibliográficos
Autores principales: Kodolova, Olga, Vardanyan, Irina, Nikitenko, Alexander, Oulianov, Alexei
Lenguaje:eng
Publicado: 2006
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/951392
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author Kodolova, Olga
Vardanyan, Irina
Nikitenko, Alexander
Oulianov, Alexei
author_facet Kodolova, Olga
Vardanyan, Irina
Nikitenko, Alexander
Oulianov, Alexei
author_sort Kodolova, Olga
collection CERN
description The jet reconstruction algorithm is developed under the condition of high particle density in the calorimetric system. The performance of reconstruction of hard QCD jets with initial parton energies 50-300 GeV is studied in central Pb--Pb collisions with a modified cone jet finder which includes an algorithm for event-by-event background subtraction. The heavy ion background is simulated using the HIJING Monte-Carlo generator with dNch/dy = 5000. Results on the achieved jet reconstruction efficiency, purity, energy and spatial resolution are presented.
id cern-951392
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2006
record_format invenio
spelling cern-9513922019-09-30T06:29:59Zhttp://cds.cern.ch/record/951392engKodolova, OlgaVardanyan, IrinaNikitenko, AlexanderOulianov, AlexeiAlgorithm for jet identification and reconstruction in densly populated calorimetric systemDetectors and Experimental TechniquesThe jet reconstruction algorithm is developed under the condition of high particle density in the calorimetric system. The performance of reconstruction of hard QCD jets with initial parton energies 50-300 GeV is studied in central Pb--Pb collisions with a modified cone jet finder which includes an algorithm for event-by-event background subtraction. The heavy ion background is simulated using the HIJING Monte-Carlo generator with dNch/dy = 5000. Results on the achieved jet reconstruction efficiency, purity, energy and spatial resolution are presented.CMS-NOTE-2006-050oai:cds.cern.ch:9513922006
spellingShingle Detectors and Experimental Techniques
Kodolova, Olga
Vardanyan, Irina
Nikitenko, Alexander
Oulianov, Alexei
Algorithm for jet identification and reconstruction in densly populated calorimetric system
title Algorithm for jet identification and reconstruction in densly populated calorimetric system
title_full Algorithm for jet identification and reconstruction in densly populated calorimetric system
title_fullStr Algorithm for jet identification and reconstruction in densly populated calorimetric system
title_full_unstemmed Algorithm for jet identification and reconstruction in densly populated calorimetric system
title_short Algorithm for jet identification and reconstruction in densly populated calorimetric system
title_sort algorithm for jet identification and reconstruction in densly populated calorimetric system
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/951392
work_keys_str_mv AT kodolovaolga algorithmforjetidentificationandreconstructionindenslypopulatedcalorimetricsystem
AT vardanyanirina algorithmforjetidentificationandreconstructionindenslypopulatedcalorimetricsystem
AT nikitenkoalexander algorithmforjetidentificationandreconstructionindenslypopulatedcalorimetricsystem
AT oulianovalexei algorithmforjetidentificationandreconstructionindenslypopulatedcalorimetricsystem

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