Online Pattern Recognition for the ALICE High Level Trigger

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The ALICE High Level Trigger has to process data online, in order to select interesting (sub)events, or to compress data efficiently by modeling techniques.Focusing on the main data source, the Time Projection Chamber (TPC), we present two pattern recognition methods under investigation: a sequentia...

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Detalles Bibliográficos
Autores principales: Lindenstruth, V, Loizides, C, Röhrich, D, Skaali, B, Steinbeck, T M, Stock, Reinhard, Tilsner, H, Ullaland, K, Vestbø, A S, Vik, T
Lenguaje:eng
Publicado: 2003
Materias:
Other Fields of Physics
Acceso en línea:http://cds.cern.ch/record/629797
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author Lindenstruth, V
Loizides, C
Röhrich, D
Skaali, B
Steinbeck, T M
Stock, Reinhard
Tilsner, H
Ullaland, K
Vestbø, A S
Vik, T
author_facet Lindenstruth, V
Loizides, C
Röhrich, D
Skaali, B
Steinbeck, T M
Stock, Reinhard
Tilsner, H
Ullaland, K
Vestbø, A S
Vik, T
author_sort Lindenstruth, V
collection CERN
description The ALICE High Level Trigger has to process data online, in order to select interesting (sub)events, or to compress data efficiently by modeling techniques.Focusing on the main data source, the Time Projection Chamber (TPC), we present two pattern recognition methods under investigation: a sequential approach "cluster finder" and "track follower") and an iterative approach ("track candidate finder" and "cluster deconvoluter"). We show, that the former is suited for pp and low multiplicity PbPb collisions, whereas the latter might be applicable for high multiplicity PbPb collisions, if it turns out, that more than 8000 charged particles would have to be reconstructed inside the TPC. Based on the developed tracking schemes we show, that using modeling techniques a compression factor of around 10 might be achievable
id cern-629797
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2003
record_format invenio
spelling cern-6297972019-09-30T06:29:59Zhttp://cds.cern.ch/record/629797engLindenstruth, VLoizides, CRöhrich, DSkaali, BSteinbeck, T MStock, ReinhardTilsner, HUllaland, KVestbø, A SVik, TOnline Pattern Recognition for the ALICE High Level TriggerOther Fields of PhysicsThe ALICE High Level Trigger has to process data online, in order to select interesting (sub)events, or to compress data efficiently by modeling techniques.Focusing on the main data source, the Time Projection Chamber (TPC), we present two pattern recognition methods under investigation: a sequential approach "cluster finder" and "track follower") and an iterative approach ("track candidate finder" and "cluster deconvoluter"). We show, that the former is suited for pp and low multiplicity PbPb collisions, whereas the latter might be applicable for high multiplicity PbPb collisions, if it turns out, that more than 8000 charged particles would have to be reconstructed inside the TPC. Based on the developed tracking schemes we show, that using modeling techniques a compression factor of around 10 might be achievablephysics/0307102oai:cds.cern.ch:6297972003-07-21
spellingShingle Other Fields of Physics
Lindenstruth, V
Loizides, C
Röhrich, D
Skaali, B
Steinbeck, T M
Stock, Reinhard
Tilsner, H
Ullaland, K
Vestbø, A S
Vik, T
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 Other Fields of Physics
url http://cds.cern.ch/record/629797
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AT loizidesc onlinepatternrecognitionforthealicehighleveltrigger
AT rohrichd onlinepatternrecognitionforthealicehighleveltrigger
AT skaalib onlinepatternrecognitionforthealicehighleveltrigger
AT steinbecktm onlinepatternrecognitionforthealicehighleveltrigger
AT stockreinhard onlinepatternrecognitionforthealicehighleveltrigger
AT tilsnerh onlinepatternrecognitionforthealicehighleveltrigger
AT ullalandk onlinepatternrecognitionforthealicehighleveltrigger
AT vestbøas onlinepatternrecognitionforthealicehighleveltrigger
AT vikt onlinepatternrecognitionforthealicehighleveltrigger

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