Accelerated Forward Modeling
Using deep learning to create rapid emulators and inference tools
People
Leads: Deaglan Bartlett, Laurence Perreault-Levasseur
Members: Antoine Bourdin, Carolina Cuesta-Lazaro, Christian Jespersen, Deaglan Bartlett, Hadi Sotoudeh, Laurence Perreault-Levasseur, Lucia Perez, Marine Prunier, Matthew Ho, Nicolas Payot, Pablo Lemos, Ronan Legin, Shirley Ho, Shivam Pandey,
Description
The Accelerated Forward Model group employs machine learning techniques to develop fast emulators of cosmological simulations. This includes both summary statistics and field level information of hydrodynamical simulations, N-body simulations, and semi-analytic models.