In this series of papers we present an emulator-based halo model for the non-linear clustering of galaxies in modified gravity cosmologies. In the first paper, we present emulators for the following halo properties: the halo mass function, concentration-mass relation and halo-matter cross-correlation function. The emulators are trained on data extracted from the \textsc{FORGE} and \textsc{BRIDGE} suites of N-body simulations, respectively for two modified gravity (MG) theories: f(R) gravity and the DGP model, varying three standard cosmological parameters Ωm0,H0,σ8, and one MG parameter, either fˉR0 or rc. Our halo property emulators achieve an accuracy of ≲1% on independent test data sets. We demonstrate that the emulators can be combined with a galaxy-halo connection prescription to accurately predict the galaxy-galaxy and galaxy-matter correlation functions using the halo model framework.
@article{arxiv.2301.02970,
title = {An emulator-based halo model in modified gravity -- I. The halo concentration-mass relation and density profile},
author = {Cheng-Zong Ruan and Carolina Cuesta-Lazaro and Alexander Eggemeier and Baojiu Li and Carlton M. Baugh and Christian Arnold and Sownak Bose and César Hernández-Aguayo and Pauline Zarrouk and Christopher T. Davies},
journal= {arXiv preprint arXiv:2301.02970},
year = {2023}
}