Neural network reconstructs cosmic-ray trajectories to better than 1.4° angular resolution and separates charges to >95% accuracy for Z≤8 using Geant4-simulated data for the RadMap Telescope.
1 21 Meyer-Hetling et al.: A Neural-Network Framework for the RadMap Telescope Allison, J., K
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A Neural-Network Framework for Tracking and Identification of Cosmic-Ray Nuclei in the RadMap Telescope
Neural network reconstructs cosmic-ray trajectories to better than 1.4° angular resolution and separates charges to >95% accuracy for Z≤8 using Geant4-simulated data for the RadMap Telescope.