A denoising autoencoder followed by a U-Net reconstructs incident gamma spectra from measured positron spectra in a Monte Carlo-optimized spectrometer for multi-MeV to GeV energies.
Compact high energy x-ray spectrometer based on forward Compton scattering for high intensity laser plasma experiments,
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Neural network-based deconvolution for GeV-Scale Gamma-Ray Spectroscopy
A denoising autoencoder followed by a U-Net reconstructs incident gamma spectra from measured positron spectra in a Monte Carlo-optimized spectrometer for multi-MeV to GeV energies.