Les IA Classification of VHF images through Machine Learning
Baptiste Hubert, Irfu/Dap; Stéphane Schanne, Irfu/Dap
Lundi 9 février à 11h30, CEA-Saclay, Orme-des merisiers, salle kepler
The SVOM satellite mission, launched in June 2024 is dedicated to Gamma-Ray Burst (GRBs) studies. The ECLAIRs trigger onboard SVOM, which reorients the satellite for GRB follow-up observations, also provides a real-time Alert Sequence for each detected GRB, transmitted to ground over the SVOM VHF receiver network. One of the two trigger algorithms, the Image Trigger (IMT) transmits at the end of each Alert Sequence a Sub-Image centered on the detected source, which is currently used by the trigger team on ground to manually identify a true point-like source from a false alert, by observing the shape in the Sub-Image. We study multiple machine learning algorithms, such as pre-trained Convolutional Neural Networks (CNNs), to perform the automatic classification of the transmitted Sub-Image and rapid identification of False Alerts. This algorithm is intended to be first used on ground at the SVOM French Science Center, and in a later stage may be implemented on board in a future flight software update.
