HBT analysis in ALICE with ITS stand-alone and combined neural tracking (preliminary results)

A neural network based algorithm to perform track recognition in the ALICE inner tracking system (ITS) for high transverse momentum particles (p/sub 1/ > 1 GeV/c) is presented. The model is based on the Denby-Peterson scheme, with some original improvements which are necessary to cope with the la...

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Detalles Bibliográficos
Autores principales: Badalà, A, Barbera, R, Lo Re, G, Palmeri, A, Pappalardo, G S, Pulvirenti, A, Riggi, F
Lenguaje:eng
Publicado: 2004
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/909025
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author Badalà, A
Barbera, R
Lo Re, G
Palmeri, A
Pappalardo, G S
Pulvirenti, A
Riggi, F
author_facet Badalà, A
Barbera, R
Lo Re, G
Palmeri, A
Pappalardo, G S
Pulvirenti, A
Riggi, F
author_sort Badalà, A
collection CERN
description A neural network based algorithm to perform track recognition in the ALICE inner tracking system (ITS) for high transverse momentum particles (p/sub 1/ > 1 GeV/c) is presented. The model is based on the Denby-Peterson scheme, with some original improvements which are necessary to cope with the large track density expected at ALICE. Results are shown for central Pb-Pb events at 5.5 A TeV in the center of mass system and the comparison with the Kalman filter results is included. Data coming from this tracking procedure are used for 1- dimensional HBT correlations and results are presented.
id cern-909025
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2004
record_format invenio
spelling cern-9090252019-09-30T06:29:59Zhttp://cds.cern.ch/record/909025engBadalà, ABarbera, RLo Re, GPalmeri, APappalardo, G SPulvirenti, ARiggi, FHBT analysis in ALICE with ITS stand-alone and combined neural tracking (preliminary results)Detectors and Experimental TechniquesA neural network based algorithm to perform track recognition in the ALICE inner tracking system (ITS) for high transverse momentum particles (p/sub 1/ > 1 GeV/c) is presented. The model is based on the Denby-Peterson scheme, with some original improvements which are necessary to cope with the large track density expected at ALICE. Results are shown for central Pb-Pb events at 5.5 A TeV in the center of mass system and the comparison with the Kalman filter results is included. Data coming from this tracking procedure are used for 1- dimensional HBT correlations and results are presented.oai:cds.cern.ch:9090252004
spellingShingle Detectors and Experimental Techniques
Badalà, A
Barbera, R
Lo Re, G
Palmeri, A
Pappalardo, G S
Pulvirenti, A
Riggi, F
HBT analysis in ALICE with ITS stand-alone and combined neural tracking (preliminary results)
title HBT analysis in ALICE with ITS stand-alone and combined neural tracking (preliminary results)
title_full HBT analysis in ALICE with ITS stand-alone and combined neural tracking (preliminary results)
title_fullStr HBT analysis in ALICE with ITS stand-alone and combined neural tracking (preliminary results)
title_full_unstemmed HBT analysis in ALICE with ITS stand-alone and combined neural tracking (preliminary results)
title_short HBT analysis in ALICE with ITS stand-alone and combined neural tracking (preliminary results)
title_sort hbt analysis in alice with its stand-alone and combined neural tracking (preliminary results)
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/909025
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AT barberar hbtanalysisinalicewithitsstandaloneandcombinedneuraltrackingpreliminaryresults
AT loreg hbtanalysisinalicewithitsstandaloneandcombinedneuraltrackingpreliminaryresults
AT palmeria hbtanalysisinalicewithitsstandaloneandcombinedneuraltrackingpreliminaryresults
AT pappalardogs hbtanalysisinalicewithitsstandaloneandcombinedneuraltrackingpreliminaryresults
AT pulvirentia hbtanalysisinalicewithitsstandaloneandcombinedneuraltrackingpreliminaryresults
AT riggif hbtanalysisinalicewithitsstandaloneandcombinedneuraltrackingpreliminaryresults

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