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Neutrino Fingerprints: Image-Based Encodings of IceCube Events for CNN Direction Reconstruction

Tori, Floriano et al.
arXiv (All) · Papers
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machine-learning
Reconstructing the direction of incoming neutrinos in the IceCube Neutrino Observatory is an important problem in astrophysics. The public IceCube--Neutrinos in Deep Ice Kaggle competition provided 140 million simulated events to benchmark reconstruction techniques. To address this challenge from a
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