The Atlas Experiment On-Line Monitoring And Filtering As An Example Of Real-Time Application
The ATLAS detector, recording LHC particles’ interactions, produces events with rate of40 MHz and size of 1.6 MB. The processes with new and interesting physics phenomena arevery rare, thus an efficient on-line filtering system (trigger) is necessary. The asynchronouspart of that system relays on fe...
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doaj-fbe8ad6607254d74b5c08a1532bb3b652020-11-25T01:47:11ZengAGH University of Science and Technology PressComputer Science1508-28062008-01-0197710.7494/csci.2008.9.3.77The Atlas Experiment On-Line Monitoring And Filtering As An Example Of Real-Time ApplicationK. Korcyl0T. Szymocha1W. Funika2J. Kitowski3R. Słota4K. Balos5L. Dutka6K. Guzy7T. Kryza8J. Pieczykolan9Institute of Nuclear Physics Polish Academy of SciencesInstitute of Nuclear Physics Polish Academy of SciencesAGH University of Science and TechnologyInstitute of Nuclear Physics Polish Academy of SciencesInstitute of Nuclear Physics Polish Academy of SciencesACC CYFRONET AGHInstitute of Nuclear Physics Polish Academy of SciencesInstitute of Nuclear Physics Polish Academy of SciencesInstitute of Nuclear Physics Polish Academy of SciencesInstitute of Nuclear Physics Polish Academy of SciencesThe ATLAS detector, recording LHC particles’ interactions, produces events with rate of40 MHz and size of 1.6 MB. The processes with new and interesting physics phenomena arevery rare, thus an efficient on-line filtering system (trigger) is necessary. The asynchronouspart of that system relays on few thousands of computing nodes running the filtering software.Applying refined filtering criteria results in increase of processing times what may lead tolack of processing resources installed on CERN site. We propose extension to this part ofthe system based on submission of the real-time filtering tasks into the Grid.http://journals.agh.edu.pl/csci/article/download/160/118high energy physics; real-time procesing; trigger system; remote farms |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
K. Korcyl T. Szymocha W. Funika J. Kitowski R. Słota K. Balos L. Dutka K. Guzy T. Kryza J. Pieczykolan |
spellingShingle |
K. Korcyl T. Szymocha W. Funika J. Kitowski R. Słota K. Balos L. Dutka K. Guzy T. Kryza J. Pieczykolan The Atlas Experiment On-Line Monitoring And Filtering As An Example Of Real-Time Application Computer Science high energy physics; real-time procesing; trigger system; remote farms |
author_facet |
K. Korcyl T. Szymocha W. Funika J. Kitowski R. Słota K. Balos L. Dutka K. Guzy T. Kryza J. Pieczykolan |
author_sort |
K. Korcyl |
title |
The Atlas Experiment On-Line Monitoring And Filtering As An Example Of Real-Time Application |
title_short |
The Atlas Experiment On-Line Monitoring And Filtering As An Example Of Real-Time Application |
title_full |
The Atlas Experiment On-Line Monitoring And Filtering As An Example Of Real-Time Application |
title_fullStr |
The Atlas Experiment On-Line Monitoring And Filtering As An Example Of Real-Time Application |
title_full_unstemmed |
The Atlas Experiment On-Line Monitoring And Filtering As An Example Of Real-Time Application |
title_sort |
atlas experiment on-line monitoring and filtering as an example of real-time application |
publisher |
AGH University of Science and Technology Press |
series |
Computer Science |
issn |
1508-2806 |
publishDate |
2008-01-01 |
description |
The ATLAS detector, recording LHC particles’ interactions, produces events with rate of40 MHz and size of 1.6 MB. The processes with new and interesting physics phenomena arevery rare, thus an efficient on-line filtering system (trigger) is necessary. The asynchronouspart of that system relays on few thousands of computing nodes running the filtering software.Applying refined filtering criteria results in increase of processing times what may lead tolack of processing resources installed on CERN site. We propose extension to this part ofthe system based on submission of the real-time filtering tasks into the Grid. |
topic |
high energy physics; real-time procesing; trigger system; remote farms |
url |
http://journals.agh.edu.pl/csci/article/download/160/118 |
work_keys_str_mv |
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