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Novel usage of deep learning and high-performance computing in long-baseline neutrino oscillation experiments
Deep-learning methods are playing a crucial role in numerous scientific and industrial applications. Over the past two decades, these techniques have helped in the collection, reconstruction, and analysis of large data samples in particle physics experiments. The main topic of this PhD research is t...
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| Lenguaje: | eng |
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2021
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| Acceso en línea: | http://cds.cern.ch/record/2751646 |