
Séminaire
Erwan Allys
2022-2023 FIP/ICFP seminar Program
Scattering Transforms in astrophysics, application to components separation
New statistical descriptions related to the so-called Scattering Transform recently obtained promising results for several astrophysical applications. These statistics share ideas with convolutional neural networks, but do not require to be learned, allowing for a direct characterization of interactions between scales in non-linear processes. In this talk, I will introduce these statistical descriptions, and give an overview of the different results they allowed to obtain recently in astrophysics. In particular, I will discuss their application to the modeling of astrophysical components, as well as to the separation of components of an observational mixture.