title: Subhalo Abundance Matching in f(R) Gravity.
abstract: Using the liminality N-body simulations of Shi et al., we present the first predictions for galaxy clustering in f(R) gravity using subhalo abundance matching. We find that, for a given galaxy density, even for an f(R) model with f_{R0}=-10^{-6}, for which the cold dark matter clustering is very similar to the cold dark matter model with a cosmological constant (ΛCDM), the predicted clustering of galaxies in the f(R) model is very different from ΛCDM. The deviation can be as large as 40% for samples with mean densities close to that of L_{*} galaxies. This large deviation is testable given the accuracy that future large-scale galaxy surveys aim to achieve. Our result demonstrates that galaxy surveys can provide a stringent test of general relativity on cosmological scales, which is comparable to the tests from local astrophysical observations.
authors.affiliation: Institute for Computational Cosmology, Department of Physics, Durham University, Durham DH1 3LE, United Kingdom.
authors.forename: Jian-Hua
authors.initials: JH
authors.lastname: He
authors.affiliation: Institute for Computational Cosmology, Department of Physics, Durham University, Durham DH1 3LE, United Kingdom.
authors.forename: Baojiu
authors.initials: B
authors.lastname: Li
authors.affiliation: Institute for Computational Cosmology, Department of Physics, Durham University, Durham DH1 3LE, United Kingdom.
authors.forename: Carlton M
authors.initials: CM
authors.lastname: Baugh