paper

The Aemulus Project VI: Emulation of beyond-standard galaxy clustering statistics to improve cosmological constraints

arXiv:2210.03203 · doi:10.3847/1538-4357/ad0ce8

Abstract

There is untapped cosmological information in galaxy redshift surveys in the non-linear regime. In this work, we use the AEMULUS suite of cosmological -body simulations to construct Gaussian process emulators of galaxy clustering statistics at small scales () in order to constrain cosmological and galaxy bias parameters. In addition to standard statistics -- the projected correlation function , the redshift-space monopole of the correlation function , and the quadrupole -- we emulate statistics that include information about the local environment, namely the underdensity probability function and the density-marked correlation function . This extends the model of AEMULUS III for redshift-space distortions by including new statistics sensitive to galaxy assembly bias. In recovery tests, we find that the beyond-standard statistics significantly increase the constraining power on cosmological parameters of interest: including and improves the precision of our constraints on by 27%, by 19%, and the growth of structure parameter, , by 12% compared to standard statistics. We additionally find that scales below contain as much information as larger scales. The density-sensitive statistics also contribute to constraining halo occupation distribution parameters and a flexible environment-dependent assembly bias model, which is important for extracting the small-scale cosmological information as well as understanding the galaxy-halo connection. This analysis demonstrates the potential of emulating beyond-standard clustering statistics at small scales to constrain the growth of structure as a test of cosmic acceleration.

Published in the Astrophysical Journal; updated to match journal version

The Aemulus Project VI: Emulation of beyond-standard galaxy clustering statistics to improve cosmological constraints · wovepaper