IceCube events are encoded as 72x72x3 images and processed by ResNet18 to reach 1.10 rad mean angular error in neutrino direction reconstruction.
Abbasi, et al., A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory, JINST 16 (2021) P07041
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Recent high and ultrahigh energy neutrino detections open a new observational window to the universe by revealing sources and processes inaccessible via photons.
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Neutrino Fingerprints: Image-Based Encodings of IceCube Events for CNN Direction Reconstruction
IceCube events are encoded as 72x72x3 images and processed by ResNet18 to reach 1.10 rad mean angular error in neutrino direction reconstruction.
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Particle Astrophysics with High and Ultrahigh Energy Neutrinos
Recent high and ultrahigh energy neutrino detections open a new observational window to the universe by revealing sources and processes inaccessible via photons.