A Propagator-Based Approach to Mitigate Cosmic Variance in Cosmological Large-Scale Structure

Explore a propagator-based hybrid methodology for reducing cosmic variance in cosmological simulations through this 21-minute conference lecture. Learn how to combine perturbation theory with numerical simulations to achieve more accurate predictions of expectation values in large-scale structure statistics. Discover the innovative "stitching" method that connects tree-level perturbation theory predictions with fully-nonlinear simulation results by leveraging propagators - the response functions of final fields to initial conditions that can be measured with minimal cosmic variance. Examine applications to biased tracers in redshift space and understand how this approach incorporates crucial physical effects including baryon acoustic oscillation (BAO) damping and potentially nonlinear redshift-space distortions (RSD). Gain insights into addressing one of the key challenges in cosmological modeling where controlling cosmic variance is essential for making precise theoretical predictions that match observational data.