Terveer K, Bouma S, Buitink S, Corstanje A, De Henau V, Desmet M, van Dongen L, Enßlin TA, Hare B, Hörandel JR, Huege T, Laub P, Mulrey K, Nelles A, Scholten O, Sharma S, Sterpka C, Strähnz S, ter Veen S, Trinh TN, Turekova P, Watanabe K (2025)
Publication Type: Conference contribution
Publication year: 2025
Publisher: Sissa Medialab Srl
Book Volume: 501
Conference Proceedings Title: Proceedings of Science
Event location: Geneva, CHE
DOI: 10.22323/1.501.0413
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 1016.5 eV and 1018 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.
APA:
Terveer, K., Bouma, S., Buitink, S., Corstanje, A., De Henau, V., Desmet, M.,... Watanabe, K. (2025). Reconstructing air showers using probabilistic forward modelling for LOFAR. In Proceedings of Science. Geneva, CHE: Sissa Medialab Srl.
MLA:
Terveer, Karen, et al. "Reconstructing air showers using probabilistic forward modelling for LOFAR." Proceedings of the 39th International Cosmic Ray Conference, ICRC 2025, Geneva, CHE Sissa Medialab Srl, 2025.
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