The Aemulus Project. VI. Emulation of Beyond-standard Galaxy Clustering Statistics to Improve Cosmological Constraints
There is untapped cosmological information in galaxy redshift surveys in the nonlinear regime. In this work, we use the Aemulus suite of cosmological N-body simulations to construct Gaussian process emulators of galaxy clustering statistics at small scales (0.1–50 h-1 Mpc) in order to constrain cosmological and galaxy bias parameters. In addition to standard statistics—the projected correlation function wp(rp), the redshift-space monopole of the correlation function ξ0(s), and the quadrupole ξ2(s)—we emulate statistics that include information about the local environment, namely the underdensity probability function PU(s) and the density-marked correlation function M(s). This extends the model of Aemulus III for redshift-spacemore »