Reconstruction of inclined cosmic ray properties with GRAND data

Radio-detection is now an established technique for studying ultra-high-energy (UHE) cosmic rays with energies exceeding $\sim 10^{17}$ eV. The next generation of radio experiments, such as the Giant Radio Array for Neutrino Detection (GRAND), aims to expand this technique to the observation of Earth-skimming UHE neutrinos, which requires the detection of very inclined extensive air showers (EAS). Currently, GRAND is validating its detection principle —autonomous radio detection —in particular through the prototype array GRANDProto300, deployed in the Gobi Desert. In this phase, the array is limited to detecting inclined EAS from cosmic rays. Neutrinos cannot be observed because of the restricted detector size. We present a method to reconstruct the arrival direction and energy of EAS with zenith angles above $60^\circ$, applicable as well to upward-going trajectories. The approach combines a point-source-like description of the radio wavefront with the so-called Angular Distribution Function (ADF), a phenomenological model describing the angular pattern of radio signal amplitudes in the 50–200 MHz band. Applied directly to the voltage traces, this method enables efficient event selection with accurate direction reconstruction and a first-order energy estimate. We validate the approach with both simulations and experimental data, and reconstruct the first cosmic-ray candidates detected by GRANDProto300.

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Publication Details

Published
2025-09-23
DOI
https://doi.org/10.22323/1.501.0278
Citations
1
Primary Topic
Astrophysics and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
1.87

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Reconstruction of inclined cosmic ray properties with GRAND data

Mauricio Bustamante, Valentin Decoene, O. Martineau‐Huynh, Marion Guelfand et al.
1 citations
Astrophysics and Cosmic Phenomena
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article

Reconstruction of inclined cosmic ray properties with GRAND data

Mauricio Bustamante, Valentin Decoene, O. Martineau‐Huynh, Marion Guelfand, Pauline Fritsch
article en
1 citations

Abstract

Radio-detection is now an established technique for studying ultra-high-energy (UHE) cosmic rays with energies exceeding $\sim 10^{17}$ eV. The next generation of radio experiments, such as the Giant Radio Array for Neutrino Detection (GRAND), aims to expand this technique to the observation of Earth-skimming UHE neutrinos, which requires the detection of very inclined extensive air showers (EAS). Currently, GRAND is validating its detection principle —autonomous radio detection —in particular through the prototype array GRANDProto300, deployed in the Gobi Desert. In this phase, the array is limited to detecting inclined EAS from cosmic rays. Neutrinos cannot be observed because of the restricted detector size. We present a method to reconstruct the arrival direction and energy of EAS with zenith angles above $60^\circ$, applicable as well to upward-going trajectories. The approach combines a point-source-like description of the radio wavefront with the so-called Angular Distribution Function (ADF), a phenomenological model describing the angular pattern of radio signal amplitudes in the 50–200 MHz band. Applied directly to the voltage traces, this method enables efficient event selection with accurate direction reconstruction and a first-order energy estimate. We validate the approach with both simulations and experimental data, and reconstruct the first cosmic-ray candidates detected by GRANDProto300.

National Science Foundation, Villum Fonden, Deutsche Forschungsgemeinschaft, Agence Nationale de la Recherche, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Chinese Academy of Sciences, Centre National d’Etudes Spatiales, Conselho Nacional de Desenvolvimento Científico e Tecnológico, China Scholarship Council, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Centre National de la Recherche Scientifique, Narodowa Agencja Wymiany Akademickiej, Sorbonne Université, Institut National de Physique Nucléaire et de Physique des Particules, National Astronomical Observatories, Chinese Academy of Sciences
Openalex Percentile: Top 12%
Astrophysics and Cosmic Phenomena
1.87
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