Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/104348
Title: Parametric and nonparametric methods hint dark energy evolution
Authors: Bernardo, Reginald Christian
Grandón, Daniela
Said, Jackson
Cárdenas, Víctor H.
Keywords: Dark energy (Astronomy)
Nonparametric statistics
Dark matter (Astronomy)
Equations of state
Issue Date: 2022
Publisher: Elsevier
Citation: Bernardo, R. C., Grandón, D., Said, J. L., & Cárdenas, V. H. (2022). Parametric and nonparametric methods hint dark energy evolution. Physics of the Dark Universe, 36, 101017.
Abstract: We study dark energy through the viewpoints of parametric and nonparametric analyses of late-time cosmological data. We consider four Hubble parameter priors reflecting the Hubble tension and make use of two phenomenological functions, namely, a normalized dark energy density and a compactified dark energy equation of state. We predict the shape of both functions and present new constraints on the dark energy equation of state. The results hint at dark energy evolution regardless of the choice of the method and of the priors. The fact that similar evolutions for the dark energy densities are found through drastically different approaches suggests that the features found in this paper are driven by the data, and are not artifact of the reconstruction methods applied.
URI: https://www.um.edu.mt/library/oar/handle/123456789/104348
Appears in Collections:Scholarly Works - InsSSA

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