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T: Fachverband Teilchenphysik

T 40: Cosmic Rays II

T 40.6: Talk

Tuesday, March 17, 2026, 17:30–17:45, KS 00.006

Bayesian Inference to Reconstruct Current Densities from Radio Emission of Extensive Air Showers — •Stefanie Girod, Maximilian Straub, and Martin Erdmann — RWTH Aachen University, Physics Institute 3A, Otto-Blumenthal-Str., 52074 Aachen, Germany

We are developing an approach to image extensive air showers based on Bayesian Inference. This approach aims to reconstruct the atmospheric current densities that induce radio emissions. The reconstruction requires a forward model with a generator capable of producing current densities in extensive air showers. To ensure differentiability and computational efficiency, we employ Gaussian processes to generate the current densities. We extract the current densities from air showers simulated by the Monte Carlo code CORSIKA to tune the generator's hyperparameters. With a tuned generator capable of sampling the parameter space of realistic air showers, we can apply the reconstruction on realistic scenarios.

Keywords: Bayesian Inference; Air Shower; Radio