This $457,976 Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program supports research at the University of Chicago to develop novel methods for modeling the distribution of baryonic matter in the universe. The research team will apply a field-level inference framework based on advanced simulations to data from cosmic microwave background (CMB) and galaxy surveys, with the goal of improving understanding of baryonic feedback and resolving tensions between galaxy weak lensing and CMB measurements of cosmological parameters. The award will also support the development of an AI/ML curriculum and new collaborations with the Adler Planetarium for scientific visualizations. This three-year project aims to advance the technical capabilities for modeling the complex astrophysical processes underlying the observed large-scale structure of the universe.
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