Joint reconstructions of growth and expansion histories from stage-IV surveys with minimal assumptions. II. Modified gravity and massive neutrinos
Rodrigo Calder\'on, Benjamin L'Huillier, David Polarski, Arman, Shafieloo, Alexei A. Starobinsky

TL;DR
This paper presents a model-independent method to reconstruct deviations from General Relativity using stage-IV survey data, accounting for massive neutrinos and highlighting the importance of accurate background modeling.
Contribution
It introduces a Gaussian process-based reconstruction of $G_{eff}(z)$ from growth data, incorporating neutrino effects and emphasizing the impact of background assumptions.
Findings
Upcoming surveys like DESI can detect deviations from GR.
Massive neutrinos do not significantly affect the reconstruction under current constraints.
Incorrect background assumptions bias the reconstruction and parameter estimates.
Abstract
Based on a formalism introduced in our previous work, we reconstruct the phenomenological function describing deviations from General Relativity (GR) in a model-independent manner. In this alternative approach, we model as a Gaussian process and use forecasted growth-rate measurements from a stage-IV survey to reconstruct its shape for two different toy models. We follow a two-step procedure: (i) we first reconstruct the background expansion history from Supernovae (SNe) and Baryon Acoustic Oscillation (BAO) measurements; (ii) we then use it to obtain the growth history , that we fit to redshift-space distortions (RSD) measurements to reconstruct . We find that upcoming surveys such as the Dark Energy Spectroscopic Instrument (DESI) might be capable of detecting deviations from GR, provided the dark energy behavior…
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Taxonomy
TopicsCosmology and Gravitation Theories · Particle physics theoretical and experimental studies · Neutrino Physics Research
