Hybrid: FA32 and Zoom: https://stockholmuniversity.zoom.us/j/62320153507
I will present the status of radio detection of ultra-high energy neutrinos (UHE, E > 10^16 eV) and how we use deep learning to improve the trigger system and event reconstruction. UHE neutrinos are connected to the most energetic phenomena in our universe and neutrino astronomy is a powerful tool to study the high-energy universe. Their small flux and cross-section require the instrumentation of huge volumes which can be achieved with a sparse array of radio detector stations installed in polar ice sheets.
I will give an overview of the landscape of radio-neutrino experiments and explain the detection principle. I will report on the results from the pilot arrays ARA and ARIANNA, the status of the Radio Neutrino Observatory in Greenland (RNO-G) that is currently being constructed and the plans for IceCube-Gen2. I will briefly discuss the challenges of event reconstruction and how we use deep learning to improve reconstruction as well as the low-level triggering.