Observational constraints on the non-flat $\Lambda CDM$ model and a null test using the transition redshift

TL;DR

This paper investigates observational constraints on non-flat ΛCDM models, focusing on the transition redshift and introducing a null test using Gaussian processes, revealing consistency with the standard model under Planck data but potential discrepancies with Riess H0 values.

Contribution

It introduces a new null test based on the transition redshift difference between flat and non-flat models, utilizing Gaussian processes and observational data.

Findings

No evidence of disagreement with flat ΛCDM using Planck data.

Potential disagreement with standard model when using Riess H0 values.

Large errors in Hubble parameter data limit statistical robustness.

Abstract

A natural extension of the standard cosmological model are models that include curvature as a free parameter. In this work we study in detail the observational constraints on the non-flat $\Lambda CDM$ model using the two main geometric tests: SNIa and Hubble parameter measurements. In general we show that the observational constraints on the parameters of the $\Lambda CDM$ model strongly depend on the curvature parameter. In particular, we study the constraints on the transition redshift ($z_{t}$) of a universe dominated by matter for a universe dominated by the cosmological constant. Using this observable we construct a new null test defining $\zeta = z_{t, flat}-z_{t, non flat}$. This test depends only on the data of the Hubble parameter, the Hubble constant and the matter density parameter. However, it does not depend on derivative of an observable as generally many tests in the literature. To reconstruct this test, we use the Gaussian process method. When we use the best-fit parameters values of $PLANCK/2018$, we find no evidence of a disagreement between the data and the standard model (flat $\Lambda CDM$), but if we use the value $H_{0}$ from $RIESS/2018$ we found a disagreement with respect at the standard model. However, it is important to note that the Hubble parameter data has large errors for a solid statistical analysis.