Studying deep convolutional neural networks with hexagonal lattices for imaging atmospheric Cherenkov telescope event reconstruction

1 code implementation • 20 Dec 2019 • D. Nieto, A. Brill, Q. Feng, M. Jacquemont, B. Kim, T. Miener, T. Vuillaume

Deep convolutional neural networks (DCNs) are a promising machine learning technique to reconstruct events recorded by imaging atmospheric Cherenkov telescopes (IACTs), but require optimization to reach full performance.

Instrumentation and Methods for Astrophysics