We use a particular machine learning approach, called the genetic algorithms (GAs), in
order to place constraints on deviations from general relativity (GR) via a possible evolution …

The EG statistic is a powerful probe for detecting deviations from general relativity by
combining weak lensing (WL), real-space clustering, and redshift space distortion (RSD) …

In this review, we outline the expected tests of gravity that will be achieved at cosmological
scales in the upcoming decades. We focus mainly on constraints on phenomenologically …

The EG statistic is a discriminating probe of gravity developed to test the prediction of
general relativity (GR) for the relation between gravitational potential and clustering on the …

Recent analyses of the Planck data and quasars at high redshifts have suggested possible
deviations from the flat Λ cold dark matter model (ΛCDM), where Λ is the cosmological …

One of the main goal of large-scale structure surveys is to test the consistency of general
relativity at cosmological scales. In the Λ CDM model of cosmology, the relations between …

We propose a novel method to measure the EG statistic from clustering alone. The EG
statistic provides an elegant way of testing the consistency of General Relativity by …

The main science driver for the coming generation of cosmological surveys is understanding
dark energy that relies on testing general relativity on the largest scales. Once we move …

We use the Equation of State (EoS) approach to study the evolution of the dark sector in
Horndeski models, the most general scalar-tensor theories with second order equations of …

Today, thanks in particular to the results of the ESA Planck mission, the concordance
cosmological model appears to be the most robust to describe the evolution and content of …