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Maximum Likelihood Reconstruction of Water Cherenkov Events With Deep Generative Neural Networks.
Jia, Mo; Kumar, Karan; Mackey, Liam S; Putra, Alexander; Vilela, Cristovao; Wilking, Michael J; Xia, Junjie; Yanagisawa, Chiaki; Yang, Karan.
Afiliação
  • Jia M; Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY, United States.
  • Kumar K; Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY, United States.
  • Mackey LS; Department of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute, Troy, NY, United States.
  • Putra A; Department of Mathematics, BMCC/City University of New York, New York, NY, United States.
  • Vilela C; CERN European Organization for Nuclear Research, Geneva, Switzerland.
  • Wilking MJ; Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY, United States.
  • Xia J; Institute for Cosmic Ray Research, Research Center for Cosmic Neutrinos, University of Tokyo, Chiba, Japan.
  • Yanagisawa C; Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY, United States.
  • Yang K; Department of Science, BMCC/City University of New York, New York, NY, United States.
Front Big Data ; 5: 868333, 2022.
Article em En | MEDLINE | ID: mdl-35782362
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Big Data Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Big Data Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos