SLAC, Building 048, Redwood C/D
The next generation of surveys, including the Dark Energy Spectroscopic Instrument (DESI), Rubin Observatory and CMB S4, holds the potential to probe the fundamental nature of dark energy, dark matter, neutrinos and inflation. The unprecedented precision afforded by these surveys poses new and interesting challenges, and exploiting these surveys will require exquisite control of systematics. Our best hope of controlling these systematics will come by combining spectroscopy, photometry and the CMB. In this talk, I will discuss my work developing the methods necessary to exploit these combined analyses. First, I will describe new simulation based modeling techniques that make use of synergies with perturbation theory to overcome long-standing cosmological modeling challenges.I will then describe how machine-learning-accelerated simulations can provide a means to understand and remove observational systematics in cosmic survey data. Together these techniques will unlock the full power of combined analyses of DESI, Rubin Observatory and the CMB to probe fundamental physics.