Speaker
Thomas Vuillaume
(LAPP, Univ. Savoie Mont-Blanc, CNRS)
Description
GammaLearn is a project developing deep learning solutions for the Cherenkov Telescope Array Observatory (CTAO) data analysis. Its first application is event reconstruction based on images acquired by the Large-Sized Telescope (LST-1), currently under commissioning at La Palma.
In this talk, we present a review of the project: the architecture $\gamma$-PhysNet we have developed to tackle this multi-task problem, the results obtained on simulated and real data, as well as solutions developed to compensate for some of the issues arising from data vs simulation discrepancies.
| Type of Contribution | talk |
|---|
Primary authors
Thomas Vuillaume
(LAPP, Univ. Savoie Mont-Blanc, CNRS)
Dr
Michaël Dell'aiera
(LAPP, Univ. Savoie Mont-Blanc, CNRS)
Dr
Alexandre Benoit
(LISTIC, Univ. Savoie Mont-Blanc)
