[HTML][HTML] Reconstructing the neutrino energy for in-ice radio detectors

JA Aguilar, P Allison, JJ Beatty, H Bernhoff… - The European Physical …, 2022 - Springer
Abstract Since summer 2021, the Radio Neutrino Observatory in Greenland (RNO-G) is
searching for astrophysical neutrinos at energies\({> 10}\) PeV by detecting the radio …

Geometric variational inference

P Frank, R Leike, TA Enßlin - Entropy, 2021 - mdpi.com
Efficiently accessing the information contained in non-linear and high dimensional
probability distributions remains a core challenge in modern statistics. Traditionally …

Measuring the polarization reconstruction resolution of the ARIANNA neutrino detector with cosmic rays

A Anker, P Baldi, SW Barwick, J Beise… - … of Cosmology and …, 2022 - iopscience.iop.org
The ARIANNA detector is designed to detect neutrinos with energies above 10 17 eV. Due
to the similarities in generated radio signals, cosmic rays are often used as test beams for …

Radio detection of high energy neutrinos in ice

SW Barwick, C Glaser - The Encyclopedia of Cosmology: Set 2 …, 2024 - World Scientific
Radio-based detection of high-energy particles is growing in maturity. In this chapter, we
focus on the detection of neutrinos with energies in excess of 10 PeV that interact in the …

Information field theory and artificial intelligence

T Enßlin - Entropy, 2022 - mdpi.com
Information field theory (IFT), the information theory for fields, is a mathematical framework
for signal reconstruction and non-parametric inverse problems. Artificial intelligence (AI) and …

Re-envisioning numerical information field theory (NIFTy. re): A library for Gaussian processes and variational inference

G Edenhofer, P Frank, J Roth, RH Leike… - arXiv preprint arXiv …, 2024 - arxiv.org
Imaging is the process of transforming noisy, incomplete data into a space that humans can
interpret. NIFTy is a Bayesian framework for imaging and has already successfully been …

Reconstructing the arrival direction of neutrinos in deep in-ice radio detectors

I Plaisier, S Bouma, A Nelles - The European Physical Journal C, 2023 - Springer
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 …

Neutrino direction and flavor reconstruction from radio detector data using deep convolutional neural networks

S Stjärnholm, O Ericsson, C Glaser - … ICRC), July 12-23, 2021, Online, 2022 - diva-portal.org
The radio technique is a cost-efficient way to obtain sensitivity to ultra-high energy (UHE)
neutrinos around energies of 1018 eV. A sparse array of radio detector stations installed …

An information field theory approach to Bayesian state and parameter estimation in dynamical systems

K Hao, I Bilionis - Journal of Computational Physics, 2024 - Elsevier
Dynamical system state estimation and parameter calibration problems are ubiquitous
across science and engineering. Bayesian approaches to the problem are the gold standard …

Developing new analysis tools for near surface radio-based neutrino detectors

A Anker, P Baldi, SW Barwick, J Beise… - … of Cosmology and …, 2023 - iopscience.iop.org
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 …