Speaker
Description
To detect ultra-high energy neutrinos, experiments such as the Askaryan Radio Array (ARA) and the Radio Neutrino Observatory in Greenland (RNO-G) rely on radio antennas deployed in ice to detect particle cascades. This requires characterizing the in-ice radio emission from cosmic rays, which constitutes both a calibration source and a major background in the search for neutrinos. The accurate modeling of this emission currently relies on computationally expensive Monte-Carlo simulations such as FAERIE, which prohibits efficient exploration of the full parameter space. We present a semi-analytical modeling of in-ice cosmic-ray-induced radio emission. Our method combines a dedicated library of FAERIE simulations with scaling laws that capture the dependence of the signal amplitude, polarization and frequency on shower parameters. This approach will enable fast estimates of cosmic ray emission, opening the path towards shower reconstruction and event-rate predictions for in-ice radio detectors.
