R. Conceição, A. Guillén, B. S. González, M. Pimenta, B. Tomé
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Gamma/hadron discrimination through the analysis of the shower footprint at low energies
Gamma/hadron discrimination in ground-based gamma-ray observatories at the
GeV energy range is challenging as traditional muon-based methods become less
effective at lower energies. This work explores a novel gamma/hadron
discrimination method for Extensive Air Shower arrays that analyzes the shower
signal footprint patterns using advanced Vision Transformer (ViT) models. The
robustness of this method against noise, including atmospheric muons and
low-energy proton showers, demonstrates its potential for application in future
gamma-ray observatories.