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Revisiting Metastable Dark Energy and Tensions in the Estimation of Cosmological Parameters

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arxiv 1904.03790 v2 pith:4RMIW7R6 submitted 2019-04-08 astro-ph.CO

classification astro-ph.CO
keywords datadarkdifferentenergymodelscosmologicalmetastablemodel
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abstract

We investigate constraints on some key cosmological parameters by confronting metastable dark energy models with different combinations of the most recent cosmological observations. Along with the standard $\Lambda$CDM model, two phenomenological metastable dark energy models are considered: (\romannumeral1) DE decays exponentially, (\romannumeral2) DE decays into dark matter. We find that: (1) when considering the most recent supernovae and BAO data, and assuming a fiducial $\Lambda$CDM model, the inconsistency in the estimated value of the $\Omega_{\rm{m,0}}h^2$ parameter obtained by either including or excluding Planck CMB data becomes very much substantial and points to a clear tension~\citep{sahni2014model,zhao2017dynamical}; (2) although the two metastable dark energy models that we study provide greater flexibility in fitting the data, and they indeed fit the SNe Ia+BAO data substantially better than $\Lambda$CDM, they are not able to alleviate this tension significantly when CMB data are included; (3) while local measurements of the Hubble constant are significantly higher relative to the estimated value of $H_0$ in our models (obtained by fitting to SNe Ia and BAO data), the situation seems to be rather complicated with hints of inconsistency among different observational data sets (CMB, SNe Ia+BAO and local $H_0$ measurements). Our results indicate that we might not be able to remove the current tensions among different cosmological observations by considering simple modifications of the standard model or by introducing minimal dark energy models. A complicated form of expansion history, different systematics in different data and/or a non-conventional model of the early Universe might be responsible for these tensions.

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Cited by 6 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. Dark Energy Bubble as Dynamical Dark Energy: Properties and CMB Constraints

    astro-ph.CO 2026-07 conditional novelty 6.0 of 10

    A late-time bubble of lower dark energy density can mimic DESI BAO features, but CMB dipole, kSZ, and sound-horizon constraints exclude the required parameters.

  3. Interacting phantom dark energy: new accelerating scaling attractors

    gr-qc 2024-11 conditional novelty 5.0 of 10

    Interacting phantom dark energy with two previously underused potentials admits new stable late-time accelerating solutions in which dark matter and dark energy coexist.

  4. Dark Neutrino interactions phase out the Hubble tension

    hep-ph 2019-08 conditional novelty 5.0 of 10

    Dark matter-neutrino interactions that block neutrino free streaming shift CMB acoustic peaks and reduce the Hubble tension from about 3.8σ to about 2.1σ in a fit to Planck and WiggleZ data.

  5. 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.

  6. 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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