GammaLearn is a collaborative project to apply deep learning to the analysis of low-level Imaging Atmospheric Cherenkov Telescopes such as CTA. The project focus both on improving reconstruction performances but also providing an environment for the analysis of CTA data with DL.
Continuation of the project started in 2017: investigation of deep learning applied to the Cherenkov Telescope Array.
CTA specific images are not adapted to deep learning framework
Continuation of the GammaLearn project under ESCAPE2020