Speaker
Description
Cosmological survey data in the 2020s will be characterized by multi-wavelength information from thousands of square degrees of overlapping sky. This opens up the exciting prospect of a new era of multi-wavelength cosmological analyses that use all datasets simultaneously. I will refer to this ambitious program as Cross-Survey Cross-Correlation Cosmology (CSC3). The power of CSC3 will come from maximally utilizing information from multi-survey, same-sky observations across the full range of spatial scales. In this talk, I will give an overview of a new approach to cosmological inference that has potential to achieve the aims of CSC3 by unlocking the predictive power of the world’s largest cosmological simulations through targeted application of AI.
