19 citations · 49 across the 4 of their papers we have counts for
4 papers
Deep-learning-based reconstruction of the neutrino direction and energy for in-ice radio detectors
C. Glaser, S. McAleer, S. Stjärnholm +2
Ultra-high-energy (UHE) neutrinos ( eV) can be measured cost-effectively using in-ice radio detection, which has been explored successfully in pilot arrays. A large radio…
Measuring the Polarization Reconstruction Resolution of the ARIANNA Neutrino Detector with Cosmic Rays
ARIANNA Collaboration, A. Anker, P. Baldi +30
The ARIANNA detector is designed to detect neutrinos with energies above eV. Due to the similarities in generated radio signals, cosmic rays are often used as test beams f…
Improving sensitivity of the ARIANNA detector by rejecting thermal noise with deep learning
ARIANNA Collaboration, A. Anker, P. Baldi +30
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 ener…
Triboelectric Backgrounds to radio-based UHE Neutrino Exeperiments
J. A. Aguilar, A. Anker, P. Allison +114
The proposed IceCube-Gen2 (ICG2) seeks to instrument ~500 sq. km of Antarctic ice near the geographic South Pole with radio antennas, in order to observe the highest energy (E>1 Ee…