From Lagrangians to large scale structure

Abstract: I will present a comprehensive mapping from general theoretical descriptions of the Universe to its large scale structure over a wide range of physical distance scales. I will also describe publicly available neural networks trained on these theoretical mappings, which put us in a position to greatly constrain most conceivable departures from concordance cosmology using galaxy surveys. If time and interest permit, I can give a short tutorial on using these codes to constrain any new physics you may be interested in.