20–22 nov. 2024
IPHC, Strasbourg
Fuseau horaire Europe/Paris

GammaLearn : deep learning applied to CTAO event reconstruction

21 nov. 2024, 09:00
25m
Amphi Grïnewald (IPHC, Strasbourg)

Amphi Grïnewald

IPHC, Strasbourg

Batiment 27, BP28, 67037 Cedex 2, 23 Rue du Loess, 67200 Strasbourg
Analysis : event classification, statistical analysis and inference, anomaly detection Thursday morning

Orateur

Dr Thomas Vuillaume (LAPP, Univ. Savoie Mont-Blanc, CNRS)

Description

GammaLearn is a project to develop deep learning solutions for Imaging Atmospheric Cherenkov Telescopes data analysis and in particular for the Cherenkov Telescope Array Observatory (CTAO) currently under construction. Its first application is event reconstruction based on the images or videos recorded by Cherenkov telescopes.
In this talk, I will present the recent results obtained applying domain adaptation to compensate for some of the issues arising from data vs simulation discrepancies. I will also present the associated DIRECTA project that aims at applying DL in real-time.

Auteur principal

Dr Thomas Vuillaume (LAPP, Univ. Savoie Mont-Blanc, CNRS)

Documents de présentation