11 papers
Radio Morphing: Fast computation of inclined air shower radio emission
Simon Chiche, Olivier Martineau-Huynh, Matias Tueros +1
The preparation of the next-generation of large-scale radio experiments requires running a large number of simulations to explore multiple detector configurations over vast areas a…
Deep ensemble graph neural networks for probabilistic cosmic-ray direction and energy reconstruction in autonomous radio arrays
Arsène Ferrière, Aurélien Benoit-Lévy, Olivier Martineau-Huynh +1
Using advanced machine learning techniques, we developed a method for reconstructing precisely the arrival direction and energy of ultra-high-energy cosmic rays from the voltage tr…
Towards the Giant Radio Array for Neutrino Detection (GRAND): the GRANDProto300 and GRAND@Auger prototypes
GRAND Collaboration, Jaime Ãlvarez-Muniz, Rafael Alves Batista +118
The Giant Radio Array for Neutrino Detection (GRAND) is a proposed multi-messenger observatory of Ultra-High-Energy (UHE) particles of cosmic origin. Its main goal is to find the l…
Simulation-Based Inference for Direction Reconstruction of Ultra-High-Energy Cosmic Rays with Radio Arrays
Oscar Macias, Zachary Mason, Matthew Ho +3
Ultra-high-energy cosmic-ray (UHECR) observatories require unbiased direction reconstruction to enable multi-messenger astronomy with sparse, nanosecond-scale radio pulses. Explici…
Deep-Learning Denoising of Radio Signals for Ultra-High-Energy Cosmic-Ray Detection
Zhisen Lai, Oscar Macias, Aurélien Benoit-Lévy +5
Extensive air showers initiated by ultra-high-energy cosmic rays (UHECRs) produce broadband radio pulses detectable over large areas, but Galactic and instrumental backgrounds limi…
Uncertainties in the Estimation of Air Shower Observables from Monte Carlo Simulation of Radio Emission
Carlo S. Cruz Sanchez, Patricia M. Hansen, Matias Tueros +2
The detection of extensive air showers (EAS) induced by cosmic rays via radio signals has undergone significant advancements in the last two decades. Numerous ultra-high energy cos…