A supervised convolutional autoencoder trained on GEANT4 simulations reconstructs photon impact points in a BGO calorimeter to sub-crystal precision and estimates particle energies with a spread of roughly 75 MeV.
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Cluster Reconstruction in Electromagnetic Calorimeters Using Machine Learning Methods
A supervised convolutional autoencoder trained on GEANT4 simulations reconstructs photon impact points in a BGO calorimeter to sub-crystal precision and estimates particle energies with a spread of roughly 75 MeV.