Context-Enriched Identification of Particles with a Convolutional Network for Neutrino Events
Context-Enriched Identification of Particles with a Convolutional Network for Neutrino Events
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Author / Creator
Psihas, F , Niner, E , Groh, M , Murphy, R , Aurisano, A , Himmel, A , Lang, K , Messier, M D , Radovic, A and Sousa, A
Publisher
Ithaca: Cornell University Library, arXiv.org
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Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
Particle detectors record the interactions of subatomic particles and their passage through matter. The identification of these particles is necessary for in-depth physics analysis. While particles can be identified by their individual behavior as they travel through matter, the full context of the interaction in which they are produced can aid the...
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Full title
Context-Enriched Identification of Particles with a Convolutional Network for Neutrino Events
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Record Identifier
TN_cdi_proquest_journals_2234819625
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2234819625
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.1906.00713