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Using Deep Convolutional Neural Networks to Reconstruct Cosmic Ray Events
The goal of this study to evaluate and assess the use of Convolutional Neural Networks in the reconstruction of Cosmic Ray Events.
Characterizing the Effects of Model Parameters on Performance of Convolutional Neural Networks for Cosmic Ray Shower Reconstruction
In collaboration with IceCube South Pole Neutrino Observatory, data from over 400,000 cosmic ray energy shower events recorded by IceTop, the surface component of IceCube, were used to train an array of convolutional neural ...