B. L. Lago

From cosmic deceleration to acceleration: new constraints from SN Ia and BAO/CMB

We use type Ia supernovae (SN Ia) data in combination with recent baryonic acoustic oscillations (BAO) and cosmic microwave background (CMB) observations to constrain a kink-like parametrization of the deceleration parameter (q). This q-parametrization can be written in terms of the initial (qi) and present (q0) values of the deceleration parameter, the redshift of the cosmic transition from deceleration to acceleration (zt) and the redshift width of such transition (τ). By assuming a flat space geometry, qi = 1/2 and adopting a likelihood approach to deal with the SN Ia data we obtain, at the 68% confidence level (C.L.), that: zt = 0.56+0.13−0.10, τ = 0.47+0.16−0.20 and q0 = −0.31+0.11−0.11 when we combine BAO/CMB observations with SN Ia data processed with the MLCS2k2 light-curve fitter. When in this combination we use the SALT2 fitter we get instead, at the same C.L.: zt = 0.64+0.13−0.07, τ = 0.36+0.11−0.17 and q0 = −0.53+0.17−0.13. Our results indicate, with a quite general and model independent approach, that MLCS2k2 favors Dvali-Gabadadze-Porrati-like cosmological models, while SALT2 favors ΛCDM-like ones. Progress in determining the transition redshift and/or the present value of the deceleration parameter depends crucially on solving the issue of the difference obtained when using these two light-curve fitters.

Type Ia supernova parameter estimation: a comparison of two approaches using current datasets

We compare the traditional χ 2 and complete-likelihood approaches for determining parameter constraints from type Ia supernovae (SNe Ia) when the magnitude dispersion is to be estimated as well. The dataset we used was sample combination “e” from Kessler (2009, ApJS, 185, 32), comprising the first-year SDSS-II Supernova Survey together with ESSENCE, SNLS, HST, and a compilation of nearby SNe Ia. We considered cosmological constant + cold dark matter (ΛCDM) and spatially flat, constant w dark energy + cold dark matter (FwCDM) cosmological models and show that, for current data, there is a small difference in the best-fit values and a difference of about 30% in confidence contour areas if the MLCS2k2 light-curve fitter is adopted. For the SALT2 light-curve fitter the differences in area are less significant (<13%). In both cases the likelihood approach gives more restrictive constraints. We argue for using the complete likelihood instead of the χ 2 approach when dealing with parameters in the expression for the variance.

Investigating the transition from cosmic deceleration to acceleration

By using type Ia supernovae (SN Ia) data in combination with recent baryonic acoustic oscillations (BAO) and cosmic microwave background (CMB) observations we constrain a kink-like parametrization of the deceleration parameter (q). By adopting a likelihood approach to deal with the SN Ia data we constrain the model parameters and show that, in combination with BAO/CMB, SN Ia data processed with the MLCS2k2 fitter favors Dvali-Gabadadze-Porrati-like cosmological models, while SALT2 fitter favors ΛCDM-like ones.