2 papers
astro-ph.HE2025
Convolution and Graph-based Deep Learning Approaches for Gamma/Hadron Separation in Imaging Atmospheric Cherenkov Telescopes
Abhay Mehta, Dan Parsons, Tim Lukas Holch +2
The identification of -rays from the predominant hadronic-background is a key aspect in their ground-based detection using Imaging Atmospheric Cherenkov Telescopes (IACTs). Whi…
astro-ph.HE2024
High-Statistics Measurement of the Cosmic-Ray Electron Spectrum with H.E.S.S
F. Aharonian, F. Ait Benkhali, J. Aschersleben +144
Owing to their rapid cooling rate and hence loss-limited propagation distance, cosmic-ray electrons and positrons (CRe) at very high energies probe local cosmic-ray accelerators an…