Is CPL dark energy a mirage?
Mikel Artola, Ismael Ayuso, Ruth Lazkoz, Vincenzo Salzano
TL;DR
The paper assesses whether the CPL dark energy parameterization is a mirage by proposing two sigmoid-based two-parameter extensions that mimic CPL locally but soften early-time phantom behavior. Using DESI BAO, Pantheon+ SNeIa, and compressed CMB shift parameters, the authors perform MCMC and Bayesian model comparison, finding that the CPL form remains statistically competitive and that the alternatives are not decisively favored or ruled out. They show that current data partially constrain the late-time evolution of w(a) but are insufficient to sharply distinguish CPL from smooth sigmoid deformations, especially as n grows and the models converge to CPL. The work highlights the robustness of CPL within the probed redshift range and outlines how non-linear, high-redshift DE dynamics could still be explored with future precision data.
Abstract
Recent observations from the Dark Energy Spectroscopic Instrument (DESI) raise doubts about the standard cosmological model, $Λ$CDM, suggesting a preference for an inherently dynamical dark energy component. The Chevallier-Polarski-Linder (CPL) parameterization -- a widely used two-parameter model for the dark energy equation of state -- displays marked early-time phantom behavior and a recent crossing of the phantom divide. These features suggest the convenience to check observationally the robustness of such evolution. To address this, we design two alternative families of two-parameter dark energy parameterizations which remain close to the original CPL but aim to soften its phantom character. Specifically, these models reproduce CPL-like behavior at low redshift but mitigate early phantom behavior through the use of smooth sigmoid transitions, yielding a more gradual evolution. By combining recent DESI data with constraints from the cosmic microwave background and Type Ia supernovae, we assess the viability of these models. Our analysis shows that CPL remains a strong and competitive parameterization, with the proposed alternatives only marginally favored or disfavored. We conclude that current observational data lack the statistical precision to decisively distinguish between CPL and similarly constructed parameterizations across the redshift range probed by late-time observables.
