Orateur
Simon Dupourqué
(GAHEC)
Description
The 4XMM catalogue contains more than 20 years of X-ray observations. However, exploiting this data on the catalogue scale is not straightforward since most of the automatically extracted sources do not have a precise classification. Our aim is to use machine learning, specifically a variational autoencoder, to embed the sources in a latent space that is more suitable for exploring and classifying the sources and finding exotic objects.
Auteur
Simon Dupourqué
(GAHEC)
