Constraining the dark energy and smoothness-parameter with supernovae

TL;DR

This study uses supernovae data to constrain dark energy and matter distribution parameters, showing that inhomogeneities influence cosmological tests and confirming the necessity of dark energy with high statistical confidence.

Contribution

It introduces a method to incorporate inhomogeneities via the smoothness parameter in supernovae distance measurements, refining constraints on cosmological parameters.

Findings

The Einstein-de Sitter model is strongly ruled out.

Dark energy is necessary to explain observations.

Inhomogeneities affect the estimation of matter density.

Abstract

The presence of inhomogeneities modifies the cosmic distances through the gravitational lensing effect, and, indirectly, must affect the main cosmological tests. Assuming that the dark energy is a smooth component, the simplest way to account for the influence of clustering is to suppose that the average evolution of the expanding Universe is governed by the total matter-energy density whereas the focusing of light is only affected by a fraction of the total matter density quantified by the $\alpha$ Dyer-Roeder parameter. By using two different samples of SNe type Ia data, the $\Omega_m$ and $\alpha$ parameters are constrained by applying the Zeldovich-Kantowski-Dyer-Roeder (ZKDR) luminosity distance redshift relation for a flat ($\Lambda$CDM) model. A $\chi^{2}$-analysis using the 115 SNe Ia data of Astier {\it et al.} sample (2006) constrains the density parameter to be $\Omega_m=0.26_{-0.07}^{+0.17}$($2\sigma$) while the $\alpha$ parameter is weakly limited (all the values $\in [0,1]$ are allowed even at 1$\sigma$). However, a similar analysis based the 182 SNe Ia data of Riess {\it et al.} (2007) constrains the pair of parameters to be $\Omega_m= 0.33^{+0.09}_{-0.07}$ and $\alpha\geq 0.42$ ($2\sigma$). Basically, this occurs because the Riess {\it et al.} sample extends to appreciably higher redshifts. As a general result, even considering the existence of inhomogeneities as described by the smoothness $\alpha$ parameter, the Einstein-de Sitter model is ruled out by the two samples with a high degree of statistical confidence ($11.5\sigma$ and $9.9\sigma$, respectively). The inhomogeneous Hubble-Sandage diagram discussed here highlight the necessity of the dark energy, and a transition deceleration/accelerating phase at $z\sim 0.5$ is also required.