Ultrahigh-energy (UHE) neutrinos, with EeV-scale energies, carry with them unique insight
into fundamental open questions in astrophysics and particle physics. For 50 years, they …

The next generation of radio telescopes will be sensitive to low-scale quantum gravity by
measuring ultrahigh-energy neutrinos. In this work, we demonstrate for the first time that …

In-ice radio detectors are a promising tool for the discovery of EeV neutrinos. For
astrophysics, the implications of such a discovery will rely on the reconstruction of the …

The ARIANNA experiment is an Askaryan radio detector designed to measure high-energy
neutrino induced cascades within the Antarctic ice. Ultra-high-energy neutrinos above 10 16 …

Generative adversarial networks constitute a powerful approach to generative modeling.
While generated samples often are indistinguishable from real data, there is no guarantee …

We present the first method to probabilistically predict 3D direction in a deep neural network
model. The probabilistic predictions are modeled as a heteroscedastic von Mises-Fisher …

We present a deep learning method based on Convolutional Neural Networks (CNN) to
reconstruct the shower axis of isotropic electrons in a three-dimensional (3D) imaging …

The ARIANNA in-ice radio detector explores the detection of UHE neutrinos with shallow
detector stations on the Ross Ice Shelf and the South Pole. Here, we present recent results …

The ARIANNA experiment is an Askaryan detector designed to record radio signals induced
by neutrino interactions in the Antarctic ice. Because of the low neutrino flux at high energies …

The planned in-ice radio array of IceCube-Gen2 at the South Pole will provide
unprecedented sensitivity to ultra-high-energy (UHE) neutrinos in the EeV range. The ability …