SEUSHI is a compact dual-mode instrument that delivers 1-arcmin temperature maps every 5 seconds plus 0.2-nm EUV spectra and photon-counting SXR spectroscopy to study flare initiation and elemental abundances.
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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.
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Solar Extreme Ultraviolet Spectrograph and High-energy Imager (SEUSHI): Design, Development, and Pre-Flight Calibration
SEUSHI is a compact dual-mode instrument that delivers 1-arcmin temperature maps every 5 seconds plus 0.2-nm EUV spectra and photon-counting SXR spectroscopy to study flare initiation and elemental abundances.
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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.