paper

Gaussian process reconstruction of scalar field dynamics from recent cosmological data

arXiv:2608.24433

Abstract

We reconstruct the late-time expansion history and dark energy dynamics using available cosmological data. We consider dark energy as an effective minimally coupled canonical scalar field without assuming a specific form for its potential. For reconstruction, we use Gaussian Process (GP) regression with a joint dataset consisting of 32 cosmic chronometer measurements (CC32), DESI DR2 baryon acoustic oscillation data, three Type Ia supernova compilations (Pantheon+, Union3, and DES Y5), and compressed CMB distance priors. From the reconstructed Hubble parameter and its derivatives, we obtain the scalar field kinetic and potential energy densities, the equation of state , and the dimensionless slope parameter of the scalar field potential. The reconstructed potential is nearly constant at late times, with --, close to the dark-energy density in flat CDM. The kinetic term remains small over , while remains close to within the uncertainties. Using only CC32 and DESI DR2, we find a mild () hint of a phantom-divide crossing near . However, this feature depends on the supernova compilation and cannot be regarded as a firm conclusion with current data. The slope parameter shows mild evolution, with present-day central values around --, but large uncertainties due to its dependence on higher-order derivatives of the expansion history. The curvature parameter requires even higher-order derivatives and is not constrained by current data; therefore, we do not report its reconstruction. Allowing small spatial curvature, --, changes the results only slightly and remains within the existing uncertainty bands.

Gaussian process reconstruction of scalar field dynamics from recent cosmological data · wovepaper