Abstract
ABSTRACT We carry out ‘full-physics’ hydrodynamical simulations of galaxy formation in the normal-branch Dvali–Gabadadze–Porrati (nDGP) braneworld model using a new modified version of the arepo code and the IllustrisTNG galaxy formation model. We simulate two nDGP models (N5 and N1) that represent, respectively, weak and moderate departures from general relativity (GR), in boxes of sizes $62$ and $25\, h^{-1}{\rm Mpc}$ using 2 × 5123 dark matter particles and initial gas cells. This allows us to explore, for the first time, the impact of baryonic physics on galactic scales in braneworld models of modified gravity and to make predictions on the stellar content of dark matter haloes and galaxy evolution through cosmic time in these models. We find significant differences between the GR and nDGP models in the power spectra and correlation functions of gas, stars and dark matter of up to ∼25 per cent on large scales. Similar to their impact in the standard cosmological model (Λ cold dark matter), baryonic effects can have a significant influence over the clustering of the overall matter distribution, with a sign that depends on scale. Studying the degeneracy between modified gravity and galactic feedback in these models, we find that these two physical effects on matter clustering can be cleanly disentangled, allowing for a method to accurately predict the matter power spectrum with baryonic effects included, without having to run hydrodynamical simulations. Depending on the braneworld model, we find differences compared with GR of up to ∼15 per cent in galaxy properties such as the stellar-to-halo-mass ratio, galaxy stellar mass function, gas fraction, and star formation rate density. The amplitude of the fifth force is reduced by the presence of baryons in the very inner part of haloes, but this reduction quickly becomes negligible above ∼0.1 times the halo radius.
Highlights
Cosmological simulations of galaxy formation are an important instrument to understand the origin, evolution, distribution, and properties of galaxies in the Universe
We present an extension of the Simulating HYdrodynamics BeyONd Einstein (SHYBONE) simulations (Arnold et al 2019) by exploring galaxy formation in the normal-branch Dvali–Gabadadze–Porrati (nDGP) model with an identical expansion history to CDM (Schmidt 2009b). To carry out these simulations, we extended the AREPO code (Springel 2010) to include the nDGP model and employed its AMR modified gravity solver together with the IllustrisTNG (TNG) galaxy formation model (Weinberger et al 2017; Pillepich et al 2018a)
The clustering of stars is less affected by modified gravity than gas and dark matter, for which we find differences of 5 per cent for both N5 and N1 models and all redshifts, except at z = 2 for the L62 box where the clustering of stars shows an increased clustering of > 10 per cent for both nDGP models
Summary
Cosmological simulations of galaxy formation are an important instrument to understand the origin, evolution, distribution, and properties of galaxies in the Universe. The first numerical simulations of the DGP model were performed by Schmidt (2009a, b), followed by simulations for both the selfaccelerated and the normal branches of the DGP model carried out with the adaptive-mesh-refinement (AMR) code ECOSMOG-V (Li, Zhao & Koyama 2013) The performance of both codes was tested by Winther et al (2015), who found excellent agreement for the prediction of the dark matter distribution and halo statistics over cosmic time. We present an extension of the Simulating HYdrodynamics BeyONd Einstein (SHYBONE) simulations (Arnold et al 2019) by exploring galaxy formation in the nDGP model with an identical expansion history to CDM (Schmidt 2009b) To carry out these simulations, we extended the AREPO code (Springel 2010) to include the nDGP model and employed its AMR modified gravity solver together with the IllustrisTNG (TNG) galaxy formation model (Weinberger et al 2017; Pillepich et al 2018a).
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