Scalar field description of a parametric model of dark energy
E. M. Barboza Jr., J. S. Alcaniz, B. Santos

TL;DR
This paper explores a time-dependent dark energy model using a scalar field approach, deriving the potential from the equation of state, and compares it with recent cosmological observations to identify preferred dark energy classes.
Contribution
It introduces a novel parameterization of the dark energy EoS that is well-behaved over all redshifts and links it to scalar field potentials, enabling classification of dark energy models.
Findings
Most observational data favor models crossing the phantom divide.
The parameterization effectively distinguishes different dark energy classes.
The scalar field potential can be reconstructed from the EoS parameter.
Abstract
We investigate theoretical and observational aspects of a time-dependent parameterization for the dark energy equation of state (EoS) , which is a well behaved function of the redshift over the entire cosmological evolution, i.e., . By using a theoretical algorithm of constructing the quintessence potential directly from the effective EoS parameter, we derive and discuss the general features of the resulting potential for this function. Since the parameterization here discussed allows us to divide the parametric plane in defined regions associated to distinct classes of dark energy models, we use the most recent observations from type Ia supernovae, baryon acoustic oscillation peak and Cosmic Microwave Background shift parameter to check which class is observationally prefered. We show that the largest portion of the confidence contours lies into the…
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