SMuK 2023 – wissenschaftliches Programm
Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
T: Fachverband Teilchenphysik
T 63: ML Methods III
T 63.4: Vortrag
Mittwoch, 22. März 2023, 16:35–16:50, HSZ/0405
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 University
Extensive air showers are induced in the Earth’s atmosphere by ultra-high-energy cosmic rays. These air showers are measured at the Pierre Auger Observatory using various detection techniques, including radio antennas. As part of the Pierre Auger Observatory’s AugerPrime upgrade, so-called Short Aperiodic Loaded Loop Antennas (SALLAs) are currently being deployed. These antennas will be calibrated with a remotely-piloted aircraft that carries a known signal source to characterize the direction- and frequency dependent gain, the so-called antenna pattern. With this method, only a finite number of directions and frequencies is probed, limited by i.a. battery life of the aircraft. Information Field Theory (IFT) is a framework for reconstructing field-like structures using Bayesian statistics. With IFT it is possible to leverage local correlation structures to interpolate on the domain product S2 × R, that is direction dependence and frequency dependence at the same time. The multidimensional interpolation is informed by physics and therefore performs better than e.g. a linear interpolation. Using Information Field Theory provides calibration uncertainties resulting from the calibration measurements. Furthermore, by operating directly on the sphere it avoids projection-related distortions and edge effects that stem from the angular periodicity.