Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber

We present several studies of convolutional neural networks applied to data coming from the MicroBooNE detector, a liquid argon time projection chamber (LArTPC). The algorithms studied include the classification of single particle images, the localization of single particle and neutrino interactions...

Полное описание

Библиографические подробности
Главные авторы: Bugel, Leonard G., Conrad, Janet Marie, Hen, Or, Jones, Benjamin James Poyner, Wongjirad, Taritree
Другие авторы: Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Формат: Статья
Опубликовано: IOP Publishing 2019
Online-ссылка:http://hdl.handle.net/1721.1/120970
https://orcid.org/0000-0003-3837-3921
https://orcid.org/0000-0002-6393-0438
https://orcid.org/0000-0002-4890-6544
https://orcid.org/0000-0001-6243-1453
https://orcid.org/0000-0002-6358-6235