- Open Access
Interpretation of the binned SNe Ia master sample data via a scalar quintessence component: Phantom transition?
Phys. Rev. D 114, 043512 – Published 11 August, 2026
DOI: https://doi.org/10.1103/xthk-9854
Abstract
We study a modified cosmological scenario for the late Universe, involving an evolutionary dark energy model associated with the dynamics of a self-interacting scalar field in a potential-dominated regime. Through the analogy with a fluid energy-momentum tensor, we introduce a viscous contribution to the scalar dynamics, accounting for effective nonequilibrium behavior of the self-interacting scalar cluster. The resulting picture is that of an intrinsic quintessence contribution that, due to the bulk viscosity, admits an effective equation of state parameter that can also take values below . Within this framework, we set up the diagnostic tool of the so-called “effective running Hubble constant,” which allows us to trace possible deviations from a standard model. We then compare this theoretical function with binned data from the master sample of Supernovae Ia [1], constructed assuming a model in the Markov Chain Monte Carlo procedure performed in each bin. We show that the self-interacting scalar field corresponding to the best fit satisfies a slow-rolling condition, since the kinetic energy remains small compared to the potential contribution throughout the redshift interval. The key finding is that, when limiting the model to specific regions of the parameter space and fitting it to the data, the transition only occurs at redshifts significantly lower than the value identified by the DESI Collaboration [2,3]. Furthermore, for the parameter values ensuring the best fit, no quintessence-to-phantom transition occurs (i.e., the effective equation of state parameter remains below across the whole redshift domain). In other words, supernova data alone provide no indication of a change in the nature of the dark energy.
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