Latest data constraint of some parameterized dark energy models by Jing Yang et al. on Wednesday 30 November

Using various latest cosmological datasets including Type-Ia supernovae,

cosmic microwave background radiation, baryon acoustic oscillations, and

estimations of the Hubble parameter, we test some dark energy models with

parameterized equations of state and try to distinguish or select

observation-preferred models. We obtain the best fitting results of the six

models and calculate their values of the Akaike Information Criteria and Bayes

Information Criterion. And we can distinguish these dark energy models from

each other by using these two information criterions. However, the $\Lambda

$CDM model remains the best fit model. Furthermore, we perform geometric

diagnostics including statefinder and Om diagnostics to understand the

geometric behaviour of the dark energy models. We find that the six DE models

can be distinguished from each other and from $\Lambda$CDM, Chaplygin gas,

quintessence models after the statefinder and Om diagnostics were performed.

Finally, we consider the growth factor of the dark energy models with

comparison to $\Lambda $CDM model. Still, we find the models can be

distinguished from each other and from $\Lambda $CDM model through the growth

factor approximation.

arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2211.15881v1