Year: 2025
Type: conference-paper
Abstract: The Low Frequency Array’s (LOFAR) dense core of antenna fields makes it an ideal tool for studying the radio emission of extensive air showers, sensitive to energies between $10^{16.5}$ eV and $10^{18}$ eV. Each air shower is recorded using a small particle detector array and hundreds of antennas. We present the current state of development of a new reconstruction approach using Information Field Theory (IFT) that incorporates all available information within the data, and combines both particle detector and antenna data. This method uses probabilistic forward modeling of the radio signal and offers a physics-informed, simulation-independent reconstruction. Additionally, by treating the signal as a random field, IFT simultaneously provides uncertainty quantification.
DOI: 10.22323/1.501.0413
Authors: Karen Terveer, Sjoerd Bouma, Arthur Corstanje, Vital De Henau, Mitja Desmet, Lucas van Dongen, Torsten A. Enlin, Brian M. Hare, Jörg Hörandel, Tim Huege, Philipp Laub, Katharine Mulrey, Anna Nelles, Olaf Scholten, Stuti Sharma, Christopher Sterpka, Simon Strähnz, Sander ter Veen, Gia Trinh, Paulina Turekova, Keito Watanabe
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4414451540
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