Key points are not available for this paper at this time.
The present work is based on a parametric reconstruction of the deceleration parameter q (z) in a model for the spatially flat FRW universe filled with dark energy and non-relativistic matter. In cosmology, the parametric reconstruction technique deals with an attempt to build up a model by choosing some specific evolution scenario for a cosmological parameter and then estimate the values of the parameters with the help of different observational datasets. In this paper, we have proposed a logarithmic parametrization of q (z) to probe the evolution history of the universe. Using the type Ia supernova, baryon acoustic oscillation and the cosmic microwave background datasets, the constraints on the arbitrary model parameters q₀ and q₁ are obtained (within 1 and 2 confidence limits) by ^2 -minimization technique. We have then reconstructed the deceleration parameter, the total EoS parameter ₜot, the jerk parameter and have compared the reconstructed results of q (z) with other well-known parametrizations of q (z). We have also shown that two model selection criteria (namely, the Akaike information criterion and Bayesian information criterion) provide a clear indication that our reconstructed model is well consistent with other popular models.
Mamon et al. (Sat,) studied this question.