Accelerated Forward Modeling
Using deep learning to create rapid emulators and inference tools
People
Leads: Deaglan Bartlett, Laurence Perreault-Levasseur
Members: Tara Akhound-Sadegh, Deaglan Bartlett, Adrian Bayer, Antoine Bourdin, Carolina Cuesta Lazaro, Rachel Darlinger, Noé Dia, Yashar Hezaveh, Matthew Ho, Shirley Ho, Christian Jespersen, Ronan Legin, Francisco Maion, Shivam Pandey, Nicolas Payot, Lucia Perez, Laurence Perreault-Levasseur, Siamak Ravanbakhsh, Samuel Sharief, Hadi Sotoudeh, Ce Sui, Benjamin Wandelt, Justine Zeghal, Yao Zhang,
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.