Joint reconstructions of growth and expansion histories from stage-IV surveys with minimal assumptions I: Dark Energy beyond $\Lambda$

TL;DR

This paper presents a method to reconstruct the universe's expansion and growth histories using minimal assumptions and Gaussian processes, enabling differentiation of dark energy models from Lambda-CDM at high redshifts.

Contribution

It introduces a novel Gaussian process approach with minimal assumptions for reconstructing cosmological histories from future survey data.

Findings

Successfully reconstructs expansion history up to high redshifts.

Can differentiate dark energy models from Lambda-CDM at over 2 sigma.

Method is robust with minimal cosmological assumptions.

Abstract

Combining Supernovae, Baryon Acoustic Oscillations and Redshift-Space Distortions data from the next generation of (Stage-IV) cosmological surveys, we aim to reconstruct the expansion history up to large redshifts using forward-modeling of $f_{\mathrm DE}(z) = \rho_\mathrm{DE}(z)/\rho_\mathrm{DE,0}$ with Gaussian processes (GP). In order to reconstruct cosmological quantities at high redshifts where few or no data are available, we adopt a new approach to GP which enforces the following minimal assumptions: a) Our cosmology corresponds to a flat Friedman-Lema\^itre-Robertson-Walker (FLRW) universe; b) An Einstein de Sitter (EdS) universe is obtained on large redshifts. This allows us to reconstruct the perturbations growth history from the reconstructed background expansion history. Assuming various DE models, we show the ability of our reconstruction method to differentiate them from $\Lambda$CDM at $\gtrsim2\sigma$.