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

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...

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Bibliographic Details
Main Authors: Bugel, Leonard G. (Contributor), Conrad, Janet Marie (Contributor), Hen, Or (Contributor), Jones, Benjamin James Poyner (Contributor), Wongjirad, Taritree (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Nuclear Science and Engineering (Contributor), Massachusetts Institute of Technology. Department of Physics (Contributor), Massachusetts Institute of Technology. Laboratory for Nuclear Science (Contributor)
Format: Article
Language:English
Published: IOP Publishing, 2019-03-14T19:21:35Z.
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