Description
Large-scale structure data contain a wealth of cosmological information on small scales that is difficult to model with theoretical approaches based on perturbation theory. I will present progress on our efforts to construct simulation-based emulators for galaxy clustering within the context of the Dark Energy Spectroscopic Instrument. These emulators encompass a wide variety of summary statistics, including standard two-point measurements (projected galaxy correlation function and multipole decompositions), as well as the bispectrum and other beyond-2PT alternative clustering statistics, such as cosmic voids, density-split statistics, wavelets, and Minkowski functionals.