Description
Chair: Kyunghyun Cho
In large scale structure cosmology, the information about the cosmological parameters governing the evolution of the universe is contained in the complex and rich structure of dark matter density field. To date, this information was probed using simple human-designed statistics, such as the 2-pt functions, which are not guaranteed or expected to capture the full information content of the LSS maps. I will discuss the recent applications of AI to map-level analysis of large scale structure probes: weak lensing analysis and galaxy clustering. I will present the AI-oriented CosmoGridV1 cosmological simulation set that we recently made available to the community.
