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 $\ensuremath{\alpha}$ Dyer-Roeder parameter. By using two different samples of SNe type Ia data, the ${\ensuremath{\Omega}}_{m}$ and $\ensuremath{\alpha}$ parameters are constrained by applying the Zeldovich-Kantowski-Dyer-Roeder luminosity distance-redshift relation for a flat ($\ensuremath{\Lambda}\mathrm{CDM}$) model. A ${\ensuremath{\chi}}^{2}$-analysis using the 115 SNe Ia data of the Astier et al. sample (2006) constrains the density parameter to be ${\ensuremath{\Omega}}_{m}={0.26}_{\ensuremath{-}0.07}^{+0.17}$ ($2\ensuremath{\sigma}$) while the $\ensuremath{\alpha}$ parameter is weakly limited (all the values $\ensuremath{\in}[0,1]$ are allowed even at $1\ensuremath{\sigma}$). However, a similar analysis based the 182 SNe Ia data of Riess et al. (2007) constrains the pair of parameters to be ${\ensuremath{\Omega}}_{m}={0.33}_{\ensuremath{-}0.07}^{+0.09}$ and $\ensuremath{\alpha}\ensuremath{\ge}0.42$ ($2\ensuremath{\sigma}$). Basically, this occurs because the Riess et al. sample extends to appreciably higher redshifts. As a general result, even considering the existence of inhomogeneities as described by the smoothness $\ensuremath{\alpha}$ parameter, the Einstein-de Sitter model is ruled out by the two samples with a high degree of statistical confidence ($11.5\ensuremath{\sigma}$ and $9.9\ensuremath{\sigma}$, respectively). The inhomogeneous Hubble-Sandage diagram discussed here highlights the necessity of the dark energy, and a transition deceleration/accelerating phase at $z\ensuremath{\sim}0.5$ is also required.

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