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From prototypes to large scale detectors: how to exploit the Gaussino simulation framework for detectors studies, with a detour into machine learning

Detalles Bibliográficos
Autor principal: Mazurek, Michal
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2859941
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author Mazurek, Michal
author_facet Mazurek, Michal
author_sort Mazurek, Michal
collection CERN
id cern-2859941
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2023
record_format invenio
spelling cern-28599412023-05-25T19:33:21Zhttp://cds.cern.ch/record/2859941engMazurek, MichalFrom prototypes to large scale detectors: how to exploit the Gaussino simulation framework for detectors studies, with a detour into machine learningTalkLHCb-TALK-2023-110oai:cds.cern.ch:28599412023
spellingShingle Talk
Mazurek, Michal
From prototypes to large scale detectors: how to exploit the Gaussino simulation framework for detectors studies, with a detour into machine learning
title From prototypes to large scale detectors: how to exploit the Gaussino simulation framework for detectors studies, with a detour into machine learning
title_full From prototypes to large scale detectors: how to exploit the Gaussino simulation framework for detectors studies, with a detour into machine learning
title_fullStr From prototypes to large scale detectors: how to exploit the Gaussino simulation framework for detectors studies, with a detour into machine learning
title_full_unstemmed From prototypes to large scale detectors: how to exploit the Gaussino simulation framework for detectors studies, with a detour into machine learning
title_short From prototypes to large scale detectors: how to exploit the Gaussino simulation framework for detectors studies, with a detour into machine learning
title_sort from prototypes to large scale detectors: how to exploit the gaussino simulation framework for detectors studies, with a detour into machine learning
topic Talk
url http://cds.cern.ch/record/2859941
work_keys_str_mv AT mazurekmichal fromprototypestolargescaledetectorshowtoexploitthegaussinosimulationframeworkfordetectorsstudieswithadetourintomachinelearning