Karlsruhe 2024 – scientific programme

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T: Fachverband Teilchenphysik

T 85: Methods in astroparticle physics 4

T 85.3: Talk

Thursday, March 7, 2024, 16:30–16:45, Geb. 20.30: 2.067

Interpolating Antenna Calibration Data from Sparse Measurements with Information Field Theory — •Maximilian Straub, Martin Erdmann, and Alex Reuzki for the Pierre-Auger collaboration — Physics Institute III A RWTH Aachen

In order to measure radio emissions from cosmic-ray induced air showers, Short Aperiodic Loaded Loop Antennas (SALLAs) are being installed at the Pierre Auger Observatory. The antennas’ directional response is being determined using a drone carrying a reference signal. Information Field Theory, a Bayesian method, is used to interpolate the point measurements into a full pattern in both the direction and frequency domain. This allows to incorporate all knowledge on the measurement and learn local correlation structures to fill in the unseen directions and frequencies. Given the Bayesian nature, the resulting map provides a good estimate of the resulting pattern’s uncertainties. We apply the approach to simulation data and to measurements conducted in situ at the Pierre Auger Observatory.

Keywords: Information Field Theory; Drone; Calibration; Pierre Auger Observatory; Radio Antennas