Testing Quasi-Linear Coasting Cosmologies with Late-Time Large-Scale Structure Growth
D\'avid A. K\"odm\"on, P\'eter Raffai

TL;DR
This study tests quasi-linear coasting cosmologies against late-time large-scale structure data, comparing their fit and predictive power to the standard Lambda-CDM model, and examines their potential to resolve the S8 tension.
Contribution
It provides analytical expressions for growth factors in coasting models, fits these models to data, and compares their statistical performance and tension resolution capabilities with Lambda-CDM.
Findings
All models fit the data well, but Lambda-CDM is statistically favored.
Coasting models show higher S8 values, reducing tension with Planck data.
Lambda-CDM achieves higher predictive accuracy but may overfit.
Abstract
We derive analytical expressions for the growth factor, , and density-weighted growth rate, , for cosmologies in which at late times. We fit to data from redshift-space distortion measurements in the redshift range using the `dynesty` implementation of nested sampling. Three coasting models, with curvature parameters in units, and a flat CDM model are tested. We evaluate each model's consistency with the data by applying the Anderson--Darling test for normality on the normalized residuals. We obtained } and for the coasting models, while for CDM…
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Taxonomy
TopicsGeophysics and Gravity Measurements · Cosmology and Gravitation Theories · Computational Physics and Python Applications
