Séminaire Univers / |
| « A new vocabulary for patterns and its cosmological applications, or, CNN without training » |
|
Sihao Cheng |
|
Textures and patterns are ubiquitous in astronomical data but challenging for quantitative analysis. I will present a new tool, called the “scattering transform”. It borrows ideas from convolutional neural nets (CNNs) while sharing advantages of traditional statistical estimators. As an example, I will show its application to weak lensing maps for constraining cosmological parameters and show that it outperforms classic statistics. It is a powerful new approach in astrophysics and beyond.
|
|
mardi 1 décembre 2020 - 14:00 Webinaire Institut d'Astrophysique de Paris |
| Pages web du séminaire / Seminar's webpage |