Speaker
Description
Reconstructing ultra high energy neutrinos from radio signals is challenging in low signal to noise environments, as encountered in HERON, a next generation radio array designed to detect Earth skimming UHE neutrinos using phased stations and individual antennas in a large sparse network. HERON’s phased array provides triggers for individual antennas, where the signal to noise ratio is often below 2, making conventional reconstruction difficult.
Interferometric techniques are commonly used to overcome this challenge by enhancing weak signals through coherence across the array. However, standard interferometric reconstruction relies solely on timing information, which can lead to degeneracies in the reconstructed direction and limits the achievable angular resolution.
We present an interferometric reconstruction approach that additionally exploits the expected signal footprint across the antenna array. This combined treatment significantly improves angular resolution while reducing the impact of noise.
The method achieves an angular resolution of 0.2° under realistic conditions, even for signal to noise ratios below 0.5, and we explore its potential for extracting physical observables such as the electromagnetic energy.