Braneworld Dark Energy in light of DESI DR2
Swagat S. Mishra, William L. Matthewson, Varun Sahni, Arman Shafieloo, Yuri Shtanov
TL;DR
This paper addresses DESI DR2 tensions with ΛCDM by modeling dark energy as a thawing scalar field propagating on a ghost-free (4+1)-D phantom braneworld. The authors solve the braneworld cosmological equations for a range of potentials (quadratic, quartic, symmetry-breaking, exponential, and axion) and show that the effective DE EoS undergoes a phantom-divide crossing, with Om diagnostics and Hubble evolution matching DESI DR2 observations. Using MCMC against DESI DR2, Union 3 supernovae, and CMB priors, they find χ^2 values for all models that are remarkably close to the CPL parametrisation, demonstrating a good fit to the data. The results provide a physically well-motivated mechanism for dynamical dark energy within higher-dimensional gravity, and point to future work on perturbations and ISW/growth signals to further test the scenario.
Abstract
Recent observational results from the DESI collaboration reveal tensions with the standard $Λ$CDM model and favour a scenario in which dark energy (DE) decays over time. The DESI DR2 data also suggest that the DE equation of state (EoS) may have been phantom-like ($w < - 1$) in the past, evolving to $w > - 1$ at present, implying a recent crossing of the phantom divide at $w = - 1$. Scalar field models of DE naturally emerge in ultraviolet-complete theories such as string theory, which is typically formulated in higher dimensions. In this work, we investigate a broad class of $thawing~scalar~field~models$, including the simple quadratic, quartic, exponential, symmetry-breaking and axion potentials, propagating on a (4+1)-dimensional ghost-free phantom braneworld, and demonstrate that their effective EoS exhibits a phantom-divide crossing. Alongside the Hubble parameter and EoS of DE, we also analyse the evolution of the $Om$ diagnostic, and demonstrate that the time dependence of these quantities is in excellent agreement with the DESI DR2 observations. Furthermore, we perform a comprehensive parameter estimation using Markov Chain Monte Carlo sampling, and find that the $χ^2$ values for all our models are remarkably close to that of the widely used CPL parametrisation, indicating that our models fit the data very well.
