Neural network real time event selection for the DIRAC experiment

The neural network first level trigger for the DIRAC experiment at CERN is presented. Both the neural network algorithm used and its actual hardware implementation are described. The system uses the fast plastic scintillator information of the DIRAC spectrometer. In 210 ns it selects events with two...

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Detalles Bibliográficos
Autores principales: Kokkas, P, Steinacher, M, Tauscher, Ludwig, Vlachos, S
Lenguaje:eng
Publicado: 2001
Materias:
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1063/1.1405264
http://cds.cern.ch/record/536831
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author Kokkas, P
Steinacher, M
Tauscher, Ludwig
Vlachos, S
author_facet Kokkas, P
Steinacher, M
Tauscher, Ludwig
Vlachos, S
author_sort Kokkas, P
collection CERN
description The neural network first level trigger for the DIRAC experiment at CERN is presented. Both the neural network algorithm used and its actual hardware implementation are described. The system uses the fast plastic scintillator information of the DIRAC spectrometer. In 210 ns it selects events with two particles having low relative momentum. Such events are selected with an efficiency of more than 0.94. The corresponding rate reduction for background events is a factor of 2.5. (10 refs).
id cern-536831
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2001
record_format invenio
spelling cern-5368312020-08-28T08:04:55Zdoi:10.1063/1.1405264http://cds.cern.ch/record/536831engKokkas, PSteinacher, MTauscher, LudwigVlachos, SNeural network real time event selection for the DIRAC experimentDetectors and Experimental TechniquesThe neural network first level trigger for the DIRAC experiment at CERN is presented. Both the neural network algorithm used and its actual hardware implementation are described. The system uses the fast plastic scintillator information of the DIRAC spectrometer. In 210 ns it selects events with two particles having low relative momentum. Such events are selected with an efficiency of more than 0.94. The corresponding rate reduction for background events is a factor of 2.5. (10 refs).oai:cds.cern.ch:5368312001
spellingShingle Detectors and Experimental Techniques
Kokkas, P
Steinacher, M
Tauscher, Ludwig
Vlachos, S
Neural network real time event selection for the DIRAC experiment
title Neural network real time event selection for the DIRAC experiment
title_full Neural network real time event selection for the DIRAC experiment
title_fullStr Neural network real time event selection for the DIRAC experiment
title_full_unstemmed Neural network real time event selection for the DIRAC experiment
title_short Neural network real time event selection for the DIRAC experiment
title_sort neural network real time event selection for the dirac experiment
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1063/1.1405264
http://cds.cern.ch/record/536831
work_keys_str_mv AT kokkasp neuralnetworkrealtimeeventselectionforthediracexperiment
AT steinacherm neuralnetworkrealtimeeventselectionforthediracexperiment
AT tauscherludwig neuralnetworkrealtimeeventselectionforthediracexperiment
AT vlachoss neuralnetworkrealtimeeventselectionforthediracexperiment

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