Cosmological constraints from supernova data set with corrected redshift

TL;DR

This paper reanalyzes supernova data with corrected redshift and light curve adjustments, revealing that estimates of dark energy and matter density are highly sensitive to data selection and fitting methods, challenging the necessity of dark energy.

Contribution

It introduces a modified redshift correction and demonstrates that cosmological parameter estimates depend heavily on analysis procedures and sample selection.

Findings

Dark energy estimate varies from 60% to none depending on data and method.

Omega_m ranges from 0.7 to 1 based on sample selection.

The Einstein-de Sitter model cannot be conclusively ruled out.

Abstract

Observations of distant type Ia supernovae (SNe Ia), used as standard candles, support the notion that the Cosmos is filled with a mysterious form of energy, the dark energy. The constraints on cosmological parameters derived from data of SNe Ia and the measurements of the cosmic microwave background anisotropies indicate that the dark energy amounts to roughly 70% of all the energy contained in the Universe. In the hypothesis of a flat Universe, we investigate if the dark energy is really required in order to explain the SNe Ia experimental data, and, in this case, how much of such unknown energy is actually deduced from the analysis of these data and must be introduced in the LambdaCDM model of cosmology. In particular we are interested in verifying if the Einstein-de Sitter model of the expanding Universe is really to be ruled out. By using a fitting procedure based on the Newton method search for a minimum, we reanalyzed the "Union compilation" reported by Kowalski et al. (2008) formed by 307 SNe, obtaining a very different estimate of the dark energy, that is roughly 60%. Furthermore, in order to balance the correction of the apparent magnitude of SNe Ia, due to the dilation or stretching of the corresponding light curve width, we introduce a suitable modified redsfhit. Taking into account this correction, we refitted the Union compilation dataset after a selection cut. The main result that emerges from our analysis is that the values of Omega_m and Omega_Lambda strongly depend on the fitting procedure and the selected sample. In particular, the constraint we obtain on the mass density, normalized by the critical mass density, is Omega_m = 0.7 for a sample of 252, and Omega_m = 1 for a sample of 242 SNe Ia respectively. The latter case does not imply the existence of any additional form of dark energy.