@misc{10481/103127,
year = {2025},
month = {2},
url = {https://hdl.handle.net/10481/103127},
abstract = {Gamma/hadron discrimination in ground-based gamma-ray observatories at the sub-TeV 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 a state-of-the-art pretrained vision transformer. The resilience of the method to background noise, such as atmospheric muons and low-energy proton showers, along with its adaptability to different zenith angles and array configurations, demonstrates its potential for application in current and future ground-based gamma-ray observatories.},
organization = {Fundacao para a Ciencia e a Tecnologia (FCT)
	PTDC/FIS-PAR/4320	
	PRT/BD/151553/2021},
organization = {Spanish Government
	PID2019 - 104676 GB-C32	
	PID2023-147949NB-C53},
publisher = {American Physical Society},
title = {Discriminating sub-TeV gamma and hadron-induced showers through their footprints},
doi = {10.1103/PhysRevD.111.043047},
author = {Conceição, R. and González, B. S. and Guillén Perales, Alberto and Pimenta, M. and Tomé, B.},
}