Accelerated Forward Modeling
Using deep learning to create rapid emulators and inference tools
People
Leads: Deaglan Bartlett, Laurence Perreault-Levasseur
Members: Deaglan Bartlett, Antoine Bourdin, Carolina Cuesta-Lazaro, Matthew Ho, Shirley Ho, Christian Jespersen, Ronan Legin, Pablo Lemos, Shivam Pandey, Nicolas Payot, Lucia Perez, Laurence Perreault-Levasseur, Marine Prunier, Hadi Sotoudeh,
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.