Status on bidimensional dark energy parameterizations using SNe Ia JLA and BAO datasets

Abstract

Using current observations of forecast type Ia supernovae (SNe Ia) Joint Lightcurve Analysis (JLA) and baryon acoustic oscillations (BAO), in this paper we investigate six bidimensional dark energy parameterizations in order to explore which has more constraining power. Our results indicate that for parameterizations that contain z2-terms, the tension (s-distance) between these datasets seems to be reduced and their behaviour is < 1σ compatible with the concordance model (LCDM). Also, the results obtained by performing their Bayesian evidence show a striking evidence in favour of the LCDM model, but only one parameterization can be distinguished by around 1% from the other models when the combination of datasets are considered.