Reconstructing Air Shower Parameters with MGMR3D

Pragati Mitra, Stijn Buitink, Arthur Corstanje, Mitja Desmet, Tim Huege, Godwin Komla Krampah, Hershal Pandya, Olaf Scholten, Krijn De Vries, Katharine Mulrey, Thi Ngoc Gia Trinh, Jhansi Bhavani , H. Falcke, Brian M. Hare, Jorg Horandel, N. Karastathis, K. Mulrey, Anna Nelles, S. Thoudam, S. ter Veen

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Measuring the radio emission from cosmic ray particle cascades has proven to be a very efficient method to determine their properties such as the mass composition. Efficient modeling of the radio emission from air showers is crucial in order to extract the cosmic ray physics parameters from the measured radio emission. MGMR3D is a fast semi-analytic code that calculates the complete radio footprint, i.e.\ intensity, polarization, and pulse shapes, for a parametrized shower-current density and can be used in a chi-square optimization to fit a given radio data. It is many orders of magnitude faster than its Monte Carlo counterparts. We provide a detailed comparative study of MGMR3D to Monte Carlo simulations, where, with improved parametrizations, the shower maximum $\Xmax$ is found to have very strong agreement with a small dependency on the incoming zenith angle of the shower. Another interesting feature we observe with MGMR3D is sensitivity to the shape of the longitudinal profile in addition to $\Xmax$. This is achieved by probing the distinguishable radio footprint produced by a shower having a different longitudinal profile than usual. Furthermore, for the first time, we show the results of reconstructing shower parameters for LOFAR data using MGMR3D, and obtaining a $\Xmax$ resolution of 22 g/cm$^2$ and energy resolution of 19\%.
Originele taal-2English
Aantal pagina's14
TijdschriftPhysical Review D
Nummer van het tijdschrift8
StatusPublished - 27 okt 2023

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© 2023 American Physical Society.


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