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64k networked multi-threaded processors and their real-time application in high energy physics

Particle physics experiments create large data streams at high rates ranging from kHz to MHz. In a single event the number of created particles can easily exceed 20.000. The architecture of high resolution tracking detectors does not allow to handle the event data stream exceeding 10 TByte/s. Since...

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Detalles Bibliográficos
Autores principales: Schneider, R, Angelov, V, Gutfleisch, M, Gareus, R, Lesser, F, Lindenstruth, V, Reichling, C, Torralba, G
Lenguaje:eng
Publicado: 2002
Materias:
Acceso en línea:http://cds.cern.ch/record/818488
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author Schneider, R
Angelov, V
Gutfleisch, M
Gareus, R
Lesser, F
Lindenstruth, V
Reichling, C
Torralba, G
author_facet Schneider, R
Angelov, V
Gutfleisch, M
Gareus, R
Lesser, F
Lindenstruth, V
Reichling, C
Torralba, G
author_sort Schneider, R
collection CERN
description Particle physics experiments create large data streams at high rates ranging from kHz to MHz. In a single event the number of created particles can easily exceed 20.000. The architecture of high resolution tracking detectors does not allow to handle the event data stream exceeding 10 TByte/s. Since only some rare scenarios are interesting a selection process increases the efficiency by identifying relevant events which are processed afterwards. This trigger has to be fast enough to avoid loss of data. In case of the ALICE experiment at CERN the trigger is created by analyzing data of the transition radiation detector where about 16.000 charged particles cross six independent layers. Nearly 1.2 million analog data channels are digitized at 10 MHz by 10 bit ADCs within 2 mu s. On this data stream of 13 TByte/s a trigger decision has to be made within 6 mu s. (5 refs).
id cern-818488
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2002
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spelling cern-8184882019-09-30T06:29:59Zhttp://cds.cern.ch/record/818488engSchneider, RAngelov, VGutfleisch, MGareus, RLesser, FLindenstruth, VReichling, CTorralba, G64k networked multi-threaded processors and their real-time application in high energy physicsNuclear PhysicsParticle physics experiments create large data streams at high rates ranging from kHz to MHz. In a single event the number of created particles can easily exceed 20.000. The architecture of high resolution tracking detectors does not allow to handle the event data stream exceeding 10 TByte/s. Since only some rare scenarios are interesting a selection process increases the efficiency by identifying relevant events which are processed afterwards. This trigger has to be fast enough to avoid loss of data. In case of the ALICE experiment at CERN the trigger is created by analyzing data of the transition radiation detector where about 16.000 charged particles cross six independent layers. Nearly 1.2 million analog data channels are digitized at 10 MHz by 10 bit ADCs within 2 mu s. On this data stream of 13 TByte/s a trigger decision has to be made within 6 mu s. (5 refs).oai:cds.cern.ch:8184882002
spellingShingle Nuclear Physics
Schneider, R
Angelov, V
Gutfleisch, M
Gareus, R
Lesser, F
Lindenstruth, V
Reichling, C
Torralba, G
64k networked multi-threaded processors and their real-time application in high energy physics
title 64k networked multi-threaded processors and their real-time application in high energy physics
title_full 64k networked multi-threaded processors and their real-time application in high energy physics
title_fullStr 64k networked multi-threaded processors and their real-time application in high energy physics
title_full_unstemmed 64k networked multi-threaded processors and their real-time application in high energy physics
title_short 64k networked multi-threaded processors and their real-time application in high energy physics
title_sort 64k networked multi-threaded processors and their real-time application in high energy physics
topic Nuclear Physics
url http://cds.cern.ch/record/818488
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