arXiv · 2603.14693
Background-level reconstruction of scalar-field potentials from dark-energy histories and comparison with analytic potential families
Abstract
We present a unified \emph{background-level} framework that maps a prescribed late-time dark-energy density history $\rho_{\rm de}(z)$ onto an effective scalar-field description in a spatially flat FLRW universe. Working directly with $\rho_{\rm de}(z)$, we reconstruct the associated field trajectory $\phi(z)$, and field-space potential $V(\phi)$, together with a null energy condition (NEC) consistency check. We apply the method to three benchmark histories: (i) the Chevallier--Polarski--Linder (CPL) form; (ii) a smooth mirror AdS$\rightarrow$dS sign-switching profile in which $\rho_{\rm de}$ crosses zero at $z_\dagger$, interpolating between a positive late-time plateau and a negative high-$z$ plateau ($\Lambda_{\rm s}$CDM-like at the background level); and (iii) a shifted-$\tanh$ emergent profile that remains positive definite and approaches $\rho_{\rm de}\to 0^{+}$ at high redshift. Finally, treating the reconstructed potential, $V_{\rm tar}(\phi)$, as a target, we perform Bayesian model comparison directly in \emph{potential space} and rank representative analytic potential families by their Bayesian evidence. For CPL (restricting to the single-valued phantom branch for the potential-space comparison), the exponential potential has the highest evidence in the baseline analysis, while the shifted-$\tanh$ and hilltop quartic forms remain close competitors; for the sign-switching $\tanh$ target, the shifted-$\tanh$ potential is strongly preferred, and the emergent profile yields the same qualitative ranking. These results provide a practical dictionary between phenomenological expansion histories and the scalar-field potential shapes required to reproduce them at the background level.
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Shahnawaz A. Adil, Miguel A. Zapata, Özgür Akarsu, J. Alberto Vazquez. 2026-03-16. Background-level reconstruction of scalar-field potentials from dark-energy histories and comparison with analytic potential families. https://doi.org/10.1016/j.dark.2026.102387
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