Interacting dark energy from redshift-space galaxy clustering
Pedro Carrilho, Chiara Moretti, Benjamin Bose, Katarina Markovi\v{c},, Alkistis Pourtsidou

TL;DR
This paper evaluates non-linear modeling approaches for interacting dark energy using galaxy clustering data, demonstrating the importance of accurate models for constraining dark sector parameters with future surveys.
Contribution
It compares perturbation theory models (TNS and EFTofLSS) for non-linear galaxy clustering in interacting dark energy scenarios, identifying the most effective approach for future data analysis.
Findings
EFTofLSS model performs best in describing mock data
Forecasted uncertainties: σ_w=0.06, σ_A≈1.1-2.0 b/GeV
Incorrect modeling could lead to false detections of dark energy interactions
Abstract
Interacting dark energy models have been proposed as attractive alternatives to CDM. Forthcoming Stage-IV galaxy clustering surveys will constrain these models, but they require accurate modelling of the galaxy power spectrum multipoles on mildly non-linear scales. In this work we consider a dark scattering model with a simple 1-parameter extension to CDM - adding only , which describes a pure momentum exchange between dark energy and dark matter. We then provide a comprehensive comparison of three approaches of modeling non-linearities, while including the effects of this dark sector coupling. We base our modeling of non-linearities on the two most popular perturbation theory approaches: TNS and EFTofLSS. To test the validity and precision of the modelling, we perform an MCMC analysis using simulated data corresponding to a CDM fiducial cosmology and Stage-IV…
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