Combined fit to 839048 atmospheric neutrino events from three experiments plus reactor data yields competitive mixing parameters with preference for normal mass ordering.
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WavePID improves cascade purity and classification performance in low-energy IceCube events by adding single-PMT timing observables to a graph neural network morphology classifier.
The report describes the design and goals of DUNE, Hyper-Kamiokande, and PINGU for advancing neutrino flavor physics measurements.
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Future Neutrino Facilities
The report describes the design and goals of DUNE, Hyper-Kamiokande, and PINGU for advancing neutrino flavor physics measurements.