Data science approach for CROME (CERN RadiatiOn Monitoring Electronics) project developement.

The following master thesis presents the data science approach for the development of the radiation monitors at CERN (the European Organization for Nuclear Research). A strong focus was put into the research of the possibility of the neural networks application. The goal is to create a model efficie...

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Autor principal: Szumega, Jaroslaw Mikolaj
Lenguaje:eng
Publicado: 2021
Materias:
Computing and Computers
Engineering
Acceso en línea:http://cds.cern.ch/record/2779664
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author Szumega, Jaroslaw Mikolaj
author_facet Szumega, Jaroslaw Mikolaj
author_sort Szumega, Jaroslaw Mikolaj
collection CERN
description The following master thesis presents the data science approach for the development of the radiation monitors at CERN (the European Organization for Nuclear Research). A strong focus was put into the research of the possibility of the neural networks application. The goal is to create a model efficient enough to replace the solution used currently for the compensation of the femtoamperes current measurements. The additional optimization was made to comply with the requirements of a real–time system.
id cern-2779664
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
record_format invenio
spelling cern-27796642021-09-13T20:51:16Zhttp://cds.cern.ch/record/2779664engSzumega, Jaroslaw MikolajData science approach for CROME (CERN RadiatiOn Monitoring Electronics) project developement.Computing and ComputersEngineeringThe following master thesis presents the data science approach for the development of the radiation monitors at CERN (the European Organization for Nuclear Research). A strong focus was put into the research of the possibility of the neural networks application. The goal is to create a model efficient enough to replace the solution used currently for the compensation of the femtoamperes current measurements. The additional optimization was made to comply with the requirements of a real–time system.CERN-THESIS-2018-489oai:cds.cern.ch:27796642021-08-31T09:03:16Z
spellingShingle Computing and Computers
Engineering
Szumega, Jaroslaw Mikolaj
Data science approach for CROME (CERN RadiatiOn Monitoring Electronics) project developement.
title Data science approach for CROME (CERN RadiatiOn Monitoring Electronics) project developement.
title_full Data science approach for CROME (CERN RadiatiOn Monitoring Electronics) project developement.
title_fullStr Data science approach for CROME (CERN RadiatiOn Monitoring Electronics) project developement.
title_full_unstemmed Data science approach for CROME (CERN RadiatiOn Monitoring Electronics) project developement.
title_short Data science approach for CROME (CERN RadiatiOn Monitoring Electronics) project developement.
title_sort data science approach for crome (cern radiation monitoring electronics) project developement.
topic Computing and Computers
Engineering
url http://cds.cern.ch/record/2779664
work_keys_str_mv AT szumegajaroslawmikolaj datascienceapproachforcromecernradiationmonitoringelectronicsprojectdevelopement

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