Online pattern recognition for the ALICE high level trigger

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The ALICE High Level Trigger system needs to reconstruct events online at high data rates. Focusing on the Time Projection Chamber we present two pattern recognition methods under investigation: the sequential approach (cluster finding, track follower) and the iterative approach (Hough Transform, cl...

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Detalles Bibliográficos
Autores principales: Bramm, R, Helstrup, H, Lien, J A, Lindenstruth, V, Loizides, C, Röhrich, D, Skaali, B, Steinbeck, T M, Stock, Reinhard, Ullaland, K, Vestbø, A S, Wiebalck, A
Lenguaje:eng
Publicado: 2003
Materias:
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1016/S0168-9002(03)00464-9
http://cds.cern.ch/record/624980
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author Bramm, R
Helstrup, H
Lien, J A
Lindenstruth, V
Loizides, C
Röhrich, D
Skaali, B
Steinbeck, T M
Stock, Reinhard
Ullaland, K
Vestbø, A S
Wiebalck, A
author_facet Bramm, R
Helstrup, H
Lien, J A
Lindenstruth, V
Loizides, C
Röhrich, D
Skaali, B
Steinbeck, T M
Stock, Reinhard
Ullaland, K
Vestbø, A S
Wiebalck, A
author_sort Bramm, R
collection CERN
description The ALICE High Level Trigger system needs to reconstruct events online at high data rates. Focusing on the Time Projection Chamber we present two pattern recognition methods under investigation: the sequential approach (cluster finding, track follower) and the iterative approach (Hough Transform, cluster assignment, re-fitting). The implementation of the former in hardware indicates that we can reach the designed inspection rate for p-p collisions of 1 kHz with 98% efficiency.
id cern-624980
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2003
record_format invenio
spelling cern-6249802019-09-30T06:29:59Zdoi:10.1016/S0168-9002(03)00464-9http://cds.cern.ch/record/624980engBramm, RHelstrup, HLien, J ALindenstruth, VLoizides, CRöhrich, DSkaali, BSteinbeck, T MStock, ReinhardUllaland, KVestbø, A SWiebalck, AOnline pattern recognition for the ALICE high level triggerDetectors and Experimental TechniquesThe ALICE High Level Trigger system needs to reconstruct events online at high data rates. Focusing on the Time Projection Chamber we present two pattern recognition methods under investigation: the sequential approach (cluster finding, track follower) and the iterative approach (Hough Transform, cluster assignment, re-fitting). The implementation of the former in hardware indicates that we can reach the designed inspection rate for p-p collisions of 1 kHz with 98% efficiency.oai:cds.cern.ch:6249802003
spellingShingle Detectors and Experimental Techniques
Bramm, R
Helstrup, H
Lien, J A
Lindenstruth, V
Loizides, C
Röhrich, D
Skaali, B
Steinbeck, T M
Stock, Reinhard
Ullaland, K
Vestbø, A S
Wiebalck, A
Online pattern recognition for the ALICE high level trigger
title Online pattern recognition for the ALICE high level trigger
title_full Online pattern recognition for the ALICE high level trigger
title_fullStr Online pattern recognition for the ALICE high level trigger
title_full_unstemmed Online pattern recognition for the ALICE high level trigger
title_short Online pattern recognition for the ALICE high level trigger
title_sort online pattern recognition for the alice high level trigger
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1016/S0168-9002(03)00464-9
http://cds.cern.ch/record/624980
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