GAMMALEARN: DEEP LEARNING APPLIED TO THE CHERENKOV TELESCOPE ARRAY (CTA)
Abstract
The Cherenkov Telescope Array (CTA) is the next generation ground-based observatory for γ-ray astronomy. It will be used to study γ-ray sources, allowing to better understand the Universe. It will generate petabytes of data per year, leading to big data challenges. The GammaLearn project proposes to apply Deep Learning as a part of the analysis of this huge amount of data. Its goal is to separate the γ photons from cosmic particles, and reconstruct the γ photons parameters, from noisy unconventional images (hexagonal grid, non rectangular shape).
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