A parametric reconstruction of the cosmological jerk from diverse observational data sets

TL;DR

This paper reconstructs the cosmological jerk parameter using diverse observational data, constraining models that closely resemble the Lambda-CDM paradigm with slight deviations towards non-phantom dark energy behavior.

Contribution

It introduces a parametric method to reconstruct the jerk parameter from multiple observational datasets, providing insights into the universe's expansion dynamics.

Findings

Reconstructed models are very close to Lambda-CDM.

The models show a slight inclination towards non-phantom dark energy.

Observational data constrain the jerk parameter effectively.

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 $q(z)$, jerk parameter $j(z)$, dark energy equation of state parameter $w_{DE}(z)$ indicate that the reconstructed models are very close to a $\Lambda$CDM model with a slight inclination towards a non-phantom behaviour of the evolution.