Model-independent constraints on modified gravity from current data and from the Euclid and SKA future surveys
Laura Taddei, Matteo Martinelli, Luca Amendola

TL;DR
This paper investigates constraints on modified gravity using current and future cosmological data, accounting for additional free parameters to achieve a more model-independent analysis, and explores potential exclusion regions for specific gravity models.
Contribution
It introduces a more flexible, model-independent approach to constrain modified gravity parameters using current and forecasted data, including scale-dependent effects.
Findings
Constraints weaken when additional free parameters are included.
Current data provide limited bounds on the Poisson parameter Y.
Future surveys like Euclid and SKA can improve constraints and exclude certain gravity models.
Abstract
The aim of this paper is to constrain modified gravity with redshift space distortion observations and supernovae measurements. Compared with a standard LCDM analysis, we include three additional free parameters, namely the initial conditions of the matter perturbations,the overall perturbation normalization, and a scale-dependent Y parameter modifying the Poisson equation, in an attempt to perform a more model-independent analysis. First, we constrain the Poisson parameter Y (also called Geff ) by using currently available fsigma_8 data and the recent SN catalog JLA. We find that the inclusion of the additional free parameters makes the constraints significantly weaker than when fixing them to the standard cosmological value. Second, we constrain Y by using forecast growth-rate data for Euclid and SKA missions. Here again we point out the weakening of the constraints when the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
