A parametric reconstruction of the cosmological jerk from diverse observational data sets
Abstract
A parametric reconstruction of the jerk parameter, the third order derivative of the scale factor expressed in a dimensionless way, has been discussed. Observational constraints on the model parameters have been obtained by Maximum Likelihood Analysis of the models using Supernova Distance Modulus data (SNe), Observational Hubble Data (OHD), Baryon Acoustic Oscillation (BAO) data and CMB shift parameter data (CMBShift). The present value of the jerk parameter has been kept open to start with, but the plots of various cosmological parameter like deceleration parameter , jerk parameter , dark energy equation of state parameter indicate that the reconstructed models are very close to a CDM model with a slight inclination towards a non-phantom behaviour of the evolution.
Keywords
Cite
@article{arxiv.1601.05172,
title = {A parametric reconstruction of the cosmological jerk from diverse observational data sets},
author = {Ankan Mukherjee and Narayan Banerjee},
journal= {arXiv preprint arXiv:1601.05172},
year = {2016}
}
Comments
12 pages, 44 figures; Accepted for publication in Phys. Rev. D