Probing scalar tensor theories for gravity in redshift space

Abstract

We present measurements of the spatial clustering statistics in redshift space of various scalar field modified gravity simulations. We utilise the two-point and the three-point correlation functions to quantify the spatial distribution of dark matter halos within these simulations and thus discern between the models. We compare $\Lambda$CDM simulations to various modified gravity scenarios and find consistency with previous work in terms of 2-point statistics in real and redshift-space. However using higher order statistics such as the three-point correlation function in redshift space we find significant deviations from $\Lambda$CDM hinting that higher order statistics may prove to be a useful tool in the hunt for deviations from General Relativity.

7 pages, 4 figures, updated to match published version, accepted in A&A

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• Testing the theory of gravity with DESI: estimators, predictions and simulation requirements
• Dark matter haloes in modified gravity and dark energy: interaction rate, small-, and large-scale alignment
• Graph Database Solution for Higher Order Spatial Statistics in the Era of Big Data
• On the streaming model for redshift-space distortions
• Using the Mark Weighted Correlation Functions to Improve the Constraints on Cosmological Parameters
• Cosmological Constraints from Fourier Phase Statistics
• Deep learning for cosmological parameter inference from a dark matter halo density field
• Improving Constraint on ${\Omega }_m$ from SDSS Using Marked Correlation Functions
• Improving SDSS cosmological constraints through $\beta$-skeleton weighted correlation functions
• An Optimal In-Situ Multipole Algorithm for the Isotropic Three-Point Correlation Functions
• Cosmological constraints from the density gradient weighted correlation function