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Marked clustering statistics in f(R) gravity cosmologies

Hernández-Aguayo, César; Baugh, Carlton M.; Li, Baojiu

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Authors

César Hernández-Aguayo

Carlton M. Baugh



Abstract

We analyse the two-point and marked correlation functions (mCFs) of haloes and galaxies in three variants of the chameleon f(R) gravity model using N-body simulations, and compare to a fiducial Λ cold dark matter model based on general relativity (GR). Using a halo occupation distribution (HOD) prescription, we populate dark matter haloes with galaxies, where the HOD parameters have been tuned such that the galaxy number densities and the real-space galaxy two-point correlation functions in the modified gravity models match those in GR to within 1–3 per cent. We test the idea that since the behaviour of gravity is dependent on environment, mCFs may display a measurable difference between the models. For this we test marks based on the density field and the Newtonian gravitational potential. We find that the galaxy mCF shows significant differences measured in different models on scales smaller than r ≲ 20 h−1 Mpc. Guided by simulations to identify a suitable mark, this approach could be used as a new probe of the accelerated expansion of the Universe.

Journal Article Type Article
Acceptance Date Jul 5, 2018
Online Publication Date Jul 7, 2018
Publication Date Oct 1, 2018
Deposit Date Jul 23, 2018
Publicly Available Date Jul 25, 2018
Journal Monthly Notices of the Royal Astronomical Society
Print ISSN 0035-8711
Electronic ISSN 1365-2966
Publisher Royal Astronomical Society
Peer Reviewed Peer Reviewed
Volume 479
Issue 1
Pages 4824-4835
DOI https://doi.org/10.1093/mnras/sty1822
Public URL https://durham-repository.worktribe.com/output/1325403
Related Public URLs https://arxiv.org/abs/1801.08880

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Copyright Statement
This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ©: 2018 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.






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