GammaLearn

Deep Learning For Imaging Cherenkov Telescopes Data Analysis

GammaLearn is a project to develop deep learning solutions for Imaging Atmospheric Cherenkov Telescopes data analysis and in particular for the Cherenkov Telescope Array (CTA) currently under construction. Its first application is the event reconstruction (to retrieve events physical properties such as type, energy and incoming direction) based on the images or videos recorded by Cherenkov telescopes.

Participating organisations

Lab
CNRS

Impact

Team

Thomas Vuillaume
Thomas Vuillaume
Project leader
Univ. Savoie Mont Blanc, CNRS, LAPP

Related software

gammalearn

GA

Deep Learning for Imaging Cherenkov Telescopes Data Analysis

Updated 1 week ago
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