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Free-running data acquisition system for the AMBER experiment

<!--HTML-->Triggered data acquisition systems provide only limited possibilities of triggering methods. In our paper, we propose a novel approach that completely removes the hardware trigger and its logic. It introduces an innovative free-running mode instead, which provides unprecedented poss...

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Detalles Bibliográficos
Autor principal: Zemko, Martin
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2767255
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author Zemko, Martin
author_facet Zemko, Martin
author_sort Zemko, Martin
collection CERN
description <!--HTML-->Triggered data acquisition systems provide only limited possibilities of triggering methods. In our paper, we propose a novel approach that completely removes the hardware trigger and its logic. It introduces an innovative free-running mode instead, which provides unprecedented possibilities to physics experiments. We would like to present such system, which is being developed for the AMBER experiment at CERN. It is based on an intelligent data acquisition framework including FPGAs modules and advanced software processing. The system provides the triggerless mode that allows to gain more time for the data filtration and implement more complex algorithms. Moreover, it utilises a custom data protocol optimized for needs of the free-running system. The filtration procedure takes place in a server farm playing the role of the high-level trigger. For this purpose, we introduce a high-performance filtration framework providing optimized algorithms and load balancing to cope with excessive data rates. Furthermore, this paper also describes the filtration pipeline as well as the simulation chain that is being used for production of artificial data, for testing, and validation.
id cern-2767255
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
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spelling cern-27672552022-11-02T22:25:37Zhttp://cds.cern.ch/record/2767255engZemko, MartinFree-running data acquisition system for the AMBER experiment25th International Conference on Computing in High Energy & Nuclear PhysicsConferences<!--HTML-->Triggered data acquisition systems provide only limited possibilities of triggering methods. In our paper, we propose a novel approach that completely removes the hardware trigger and its logic. It introduces an innovative free-running mode instead, which provides unprecedented possibilities to physics experiments. We would like to present such system, which is being developed for the AMBER experiment at CERN. It is based on an intelligent data acquisition framework including FPGAs modules and advanced software processing. The system provides the triggerless mode that allows to gain more time for the data filtration and implement more complex algorithms. Moreover, it utilises a custom data protocol optimized for needs of the free-running system. The filtration procedure takes place in a server farm playing the role of the high-level trigger. For this purpose, we introduce a high-performance filtration framework providing optimized algorithms and load balancing to cope with excessive data rates. Furthermore, this paper also describes the filtration pipeline as well as the simulation chain that is being used for production of artificial data, for testing, and validation.oai:cds.cern.ch:27672552021
spellingShingle Conferences
Zemko, Martin
Free-running data acquisition system for the AMBER experiment
title Free-running data acquisition system for the AMBER experiment
title_full Free-running data acquisition system for the AMBER experiment
title_fullStr Free-running data acquisition system for the AMBER experiment
title_full_unstemmed Free-running data acquisition system for the AMBER experiment
title_short Free-running data acquisition system for the AMBER experiment
title_sort free-running data acquisition system for the amber experiment
topic Conferences
url http://cds.cern.ch/record/2767255
work_keys_str_mv AT zemkomartin freerunningdataacquisitionsystemfortheamberexperiment
AT zemkomartin 25thinternationalconferenceoncomputinginhighenergynuclearphysics