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Electron identification in the Emulsion detector of SHiP experiment using machine learning techniques

Detalles Bibliográficos
Autor principal: De Luca, Maria
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:http://cds.cern.ch/record/2753326
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author De Luca, Maria
author_facet De Luca, Maria
author_sort De Luca, Maria
collection CERN
id cern-2753326
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
record_format invenio
spelling cern-27533262021-04-23T09:50:27Zhttp://cds.cern.ch/record/2753326engDe Luca, MariaElectron identification in the Emulsion detector of SHiP experiment using machine learning techniquesDetectors and Experimental TechniquesCERN-THESIS-2021-009oai:cds.cern.ch:27533262021-03-01T12:17:48Z
spellingShingle Detectors and Experimental Techniques
De Luca, Maria
Electron identification in the Emulsion detector of SHiP experiment using machine learning techniques
title Electron identification in the Emulsion detector of SHiP experiment using machine learning techniques
title_full Electron identification in the Emulsion detector of SHiP experiment using machine learning techniques
title_fullStr Electron identification in the Emulsion detector of SHiP experiment using machine learning techniques
title_full_unstemmed Electron identification in the Emulsion detector of SHiP experiment using machine learning techniques
title_short Electron identification in the Emulsion detector of SHiP experiment using machine learning techniques
title_sort electron identification in the emulsion detector of ship experiment using machine learning techniques
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/2753326
work_keys_str_mv AT delucamaria electronidentificationintheemulsiondetectorofshipexperimentusingmachinelearningtechniques