Speaker
Description
The Radio Neutrino Observatory in Greenland (RNO-G) is an in-ice antenna array with 35 planned stations, designed to detect ultra-high-energy (UHE) neutrinos interacting in the ice in Greenland. RNO-G is designed to detect the radio signal from Askaryan radiation produced by UHE neutrinos (either astrophysical or cosmogenic in origin) when they interact in the ice sheet. Neutrinos are excellent messenger particles that can tell us about the highest-energy sources in the universe, as they only interact weakly and are not deflected as they propagate.
Each independent RNO-G station includes 24 antennas, deployed both at the surface of the ice sheet and at depths down to 100m. The first stations were deployed in 2021, and today RNO-G has a total of 8 stations in operation with an accumulated 5 years of physics data. With collaboration progress on various calibration and development efforts, we now have enough data and tools to begin searching our dataset for neutrinos.
This contribution describes simulation progress and strategy for a future neutrino diffuse search using RNO-G data from 2021-2024 by various tools developed in NuRadioMC. This includes the configuration classification of stations within the data period, important simulation tuning to match instrument performance, uncertainty estimations, and the feasibility of a multi-station simulation that matches detector performance.
