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Metastable dark energy models in light of Planck 2018: Alleviating the $H_0$ tension

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arxiv 2001.04307 v3 pith:MW3GA3GN submitted 2020-01-10 astro-ph.CO gr-qc

classification astro-ph.COgr-qc
keywords modelsplanckdarkenergymetastabletensionalleviatefinal
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abstract

We investigate the recently introduced metastable dark energy (DE) models after the final Planck 2018 legacy release. The essence of the present work is to analyze their evolution at the level of perturbations. Our analyses show that both the metastable dark energy models considered in this article, are excellent candidates to alleviate the $H_0$ tension. In particular, for the present models, Planck 2018 alone can alleviate the $H_0$ tension within 68\% CL. Along with the final cosmic microwave background data from the Planck 2018 legacy release, we also include external cosmological datasets in order to asses the robustness of our findings.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Revisiting Metastable Dark Energy in Light of DESI DR2 BAO and DESI DR1 Full-Shape Measurements

    astro-ph.CO 2026-08 conditional novelty 6.0 of 10

    Metastable dark energy, where the vacuum energy decays at a constant rate, fits the data but is not required: some combinations show 2-3 sigma hints of decay, none decisively beats the cosmological constant.

  2. Interacting dark energy in the early 2020s: a promising solution to the $H_0$ and cosmic shear tensions

    astro-ph.CO 2019-08 conditional novelty 5.0 of 10

    An interacting dark energy model with coupling proportional to the dark energy density alleviates the H0 and S8 tensions in Planck 2018 data but is not preferred once BAO and supernova data are included.

  3. An overview of what current data can (and cannot yet) say about evolving dark energy

    astro-ph.CO 2025-02 conditional novelty 4.0 of 10

    The apparent preference for evolving dark energy depends strongly on which supernova catalog and which BAO survey are used, and is not robust across all independent data combinations.

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