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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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Parametric and nonparametric methods hint dark energy evolution 2022.pdf Restricted Access | 5.14 MB | Adobe PDF | View/Open Request a copy |
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