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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…
Reconstruction of highly inclined extensive air showers in GRAND
Oscar Macias, Aurélien Benoit-Lévy, Valentin Decoene +8
The Giant Radio Array for Neutrino Detection (GRAND) aims to detect highly inclined extensive air showers (EAS) with down-going and up-going trajectories. Several working groups in…
Next-Generation Triggering: A Novel Event-Level Approach
Jelena Köhler, Aurélien Benoit-Lévy, Pablo Correa +6
Large-scale cosmic-ray detectors like the Giant Radio Array for Neutrino Detection (GRAND) are pushing the boundaries of our ability to identify air shower events. Existing trigger…
Analytical planar wavefront reconstruction and error estimates for radio detection of extensive air showers
Arsène Ferrière, Simon Prunet, Aurélien Benoit-Lévy +3
When performing radio detection of ultra-high energy astroparticles, the planar wavefront model is often used as a first step to evaluate the arrival direction of primary particles…
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…
Reconstructing Robust Background IFU spectra using Machine Learning
Carter Lee Rhea, Julie Hlavacek-Larrondo, Justine Giroux +6
In astronomy, spectroscopy consists of observing an astrophysical source and extracting its spectrum of electromagnetic radiation. Once extracted, a model is fit to the spectra to…