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Intelligence Elements and Performance of the FPGA-based DAQ of the COMPASS Experiment
Using FPGA technology for event building tasks in high-energy physics experiments reduces costs and increases reliability of DAQ systems. In 2014, the COMPASS experiment at the Super Proton Synchrotron at CERN commissioned a novel, intelligent, FPGA-based DAQ in which event building is entirely perf...
Autores principales: | , , , , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
SISSA
2018
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.22323/1.313.0127 http://cds.cern.ch/record/2314733 |
_version_ | 1780958197748596736 |
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author | Huber, Stefan Konorov, Igor Levit, Dmytro Bodlák, Martin Jarý , Vladimir Květoň, Antonin Nový, Josef Šubrt, Ondřej Tomsa, Jan Virius, Miroslav Frolov, Vladimir Steffen, Dominik |
author_facet | Huber, Stefan Konorov, Igor Levit, Dmytro Bodlák, Martin Jarý , Vladimir Květoň, Antonin Nový, Josef Šubrt, Ondřej Tomsa, Jan Virius, Miroslav Frolov, Vladimir Steffen, Dominik |
author_sort | Huber, Stefan |
collection | CERN |
description | Using FPGA technology for event building tasks in high-energy physics experiments reduces costs and increases reliability of DAQ systems. In 2014, the COMPASS experiment at the Super Proton Synchrotron at CERN commissioned a novel, intelligent, FPGA-based DAQ in which event building is entirely performed by FPGA cards. The highly scalable system is designed to cope with an on-spill data rate of 1.5 GB/s and a sustained data rate of 500 MB/s. Its intelligent and highly reliable hardware event builder is able to handle and detect front-end errors and automatically take corrective action. In September 2017, it reached an uptime of 99.63%. The paper gives an overview of system details, performance, and running experience. |
id | oai-inspirehep.net-1665061 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
publisher | SISSA |
record_format | invenio |
spelling | oai-inspirehep.net-16650612019-10-15T15:22:23Zdoi:10.22323/1.313.0127http://cds.cern.ch/record/2314733engHuber, StefanKonorov, IgorLevit, DmytroBodlák, MartinJarý , VladimirKvětoň, AntoninNový, JosefŠubrt, OndřejTomsa, JanVirius, MiroslavFrolov, VladimirSteffen, DominikIntelligence Elements and Performance of the FPGA-based DAQ of the COMPASS ExperimentDetectors and Experimental TechniquesUsing FPGA technology for event building tasks in high-energy physics experiments reduces costs and increases reliability of DAQ systems. In 2014, the COMPASS experiment at the Super Proton Synchrotron at CERN commissioned a novel, intelligent, FPGA-based DAQ in which event building is entirely performed by FPGA cards. The highly scalable system is designed to cope with an on-spill data rate of 1.5 GB/s and a sustained data rate of 500 MB/s. Its intelligent and highly reliable hardware event builder is able to handle and detect front-end errors and automatically take corrective action. In September 2017, it reached an uptime of 99.63%. The paper gives an overview of system details, performance, and running experience.SISSAoai:inspirehep.net:16650612018 |
spellingShingle | Detectors and Experimental Techniques Huber, Stefan Konorov, Igor Levit, Dmytro Bodlák, Martin Jarý , Vladimir Květoň, Antonin Nový, Josef Šubrt, Ondřej Tomsa, Jan Virius, Miroslav Frolov, Vladimir Steffen, Dominik Intelligence Elements and Performance of the FPGA-based DAQ of the COMPASS Experiment |
title | Intelligence Elements and Performance of the FPGA-based DAQ of the COMPASS Experiment |
title_full | Intelligence Elements and Performance of the FPGA-based DAQ of the COMPASS Experiment |
title_fullStr | Intelligence Elements and Performance of the FPGA-based DAQ of the COMPASS Experiment |
title_full_unstemmed | Intelligence Elements and Performance of the FPGA-based DAQ of the COMPASS Experiment |
title_short | Intelligence Elements and Performance of the FPGA-based DAQ of the COMPASS Experiment |
title_sort | intelligence elements and performance of the fpga-based daq of the compass experiment |
topic | Detectors and Experimental Techniques |
url | https://dx.doi.org/10.22323/1.313.0127 http://cds.cern.ch/record/2314733 |
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