6 citations · 8 across the 9 of their papers we have counts for
4 papers · 1 filter
Towards the Giant Radio Array for Neutrino Detection (GRAND): the GRANDProto300 and GRAND@Auger prototypes
GRAND Collaboration, Jaime Álvarez-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…
Denoising radio pulses from air showers using machine-learning methods
Aurélien Benoit-Lévy, Zhisen Lai, Oscar Macias +1
The Giant Radio Array for Neutrino Detection (GRAND) aims to detect radio signals from extensive air showers (EAS) caused by ultra-high-energy (UHE) cosmic particles. Galactic, har…
The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 10th International Workshop on Acoustic and Radio EeV Neutrino Detection Activities (ARENA 2024)
Rafael Alves Batista, Aurélien Benoit-Lévy, Teresa Bister +121
This is an index of the contributions by the Giant Radio Array for Neutrino Detection (GRAND) Collaboration to the 10th International Workshop on Acoustic and Radio EeV Neutrino De…
GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND)
GRAND Collaboration, Rafael Alves Batista, Aurélien Benoit-Lévy +112
The operation of upcoming ultra-high-energy cosmic-ray, gamma-ray, and neutrino radio-detection experiments, like the Giant Radio Array for Neutrino Detection (GRAND), poses signif…