65 citations · 299 across the 52 of their papers we have counts for
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astro-ph.IM2025
HAWC Performance Enhanced by Machine Learning in Gamma-Hadron Separation
R. Alfaro, C. Alvarez, A. Andrés +92
Improving gamma-hadron separation is one of the most effective ways to enhance the performance of ground-based gamma-ray observatories. With over a decade of continuous operation,…
astro-ph.IM2022★ 1 cited
Validation of standardized data formats and tools for ground-level particle-based gamma-ray observatories
A. Albert, R. Alfaro, J. C. Arteaga-Velázquez +74
Ground-based gamma-ray astronomy is still a rather young field of research, with strong historical connections to particle physics. This is why most observations are conducted by e…