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Welcome to FLERCNN

Fast Low Energy Reconstruction using a Convolutional Neural Network

FLERCNN is a regression CNN use for predicting reconstructed variables for IceCube DeepCore events. It is optimized to reconstruct the energy and cosine zenith of events with energies mainly in the 10s of GeV. It uses DeepCore and the inner most IceCube strings to summarize the data per event with summary variables per DOM (charge and times of pulses).

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