Speaker
Ginga Imaizumi
(ginga@icrr.u-tokyo.ac.jp)
Description
This presentation introduces three recent peer-reviewed papers related to the Tibet ASγ experiment published in 2025–2026. The first presents a study of the ultra-high-energy γ-ray halo surrounding the Geminga pulsar, providing new constraints on the magnetohydrodynamic turbulence around the source. The second demonstrates the experimental verification of a convolutional neural network (CNN)-based gamma/hadron separation method for TeV gamma-ray observations. The third reports a Monte Carlo simulation study of elemental cosmic-ray energy spectra using the Tibet Air-Shower and Muon Detector Arrays with the Bayesian unfolding method, demonstrating the feasibility of elemental spectrum reconstruction around the knee region.
