Neural posterior estimation reconstructs neutrino energy, direction, and flavor from radio signals in ice detectors, reporting median resolutions of 0.30 log(E) and 18 sq deg (shallow) and 0.08 log(E) and 28 sq deg (deep) for NC events at 1 EeV.
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A reconstruction algorithm using the radio emission maximum X_radio_max distinguishes deeply developing neutrino-induced air showers from cosmic rays, enhancing sensitivity above 1 EeV for inclined events.
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Event Reconstruction for Radio-Based In-Ice Neutrino Detectors with Neural Posterior Estimation
Neural posterior estimation reconstructs neutrino energy, direction, and flavor from radio signals in ice detectors, reporting median resolutions of 0.30 log(E) and 18 sq deg (shallow) and 0.08 log(E) and 28 sq deg (deep) for NC events at 1 EeV.
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Downward ultra-high-energy neutrino detection in the air with radio antennas at ground-based observatories
A reconstruction algorithm using the radio emission maximum X_radio_max distinguishes deeply developing neutrino-induced air showers from cosmic rays, enhancing sensitivity above 1 EeV for inclined events.