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Holographic dark energy through Loop Quantum Gravity inspired entropy

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arxiv 2310.01050 v1 pith:QM4GO4CV submitted 2023-10-02 gr-qc astro-ph.COhep-th

classification gr-qcastro-ph.COhep-th
keywords darkenergyparameterentropyholographicquantumequation-of-stategravity
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We construct a new cosmological holographic dark energy scenario based on Loop Quantum Gravity inspired entropy, instead of the standard Bekenstein-Hawking one. The former is an extended black-hole entropy that arises from non-extensive statistics and quantum geometry and is quantified by a new dimensionless parameter $q$, which possesses standard holographic dark energy as a particular sub-case. In the future event horizon as the Infrared cutoff, we provide a simple differential equation for the dark energy density parameter, as well as an analytical expressions for the corresponding equation-of-state and deceleration parameters. We show that the scenario at hand can describe successfully the usual thermal history of the Universe, with the sequence of matter and dark-energy epochs, while the transition to acceleration takes place at $z\approx 0.6$. Additionally, according to the value of the new entropic parameter $q$, the dark energy equation-of-state parameter can have a rich behavior, and it can be quintessence-like, phantom-like, or experience the phantom-divide crossing.

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Cited by 2 Pith papers

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

  1. Effective matter sectors from modified entropies

    gr-qc 2025-11 conditional novelty 4.0 of 10

    Choosing a modified entropy S(r) fixes a metric f(r)=1-4πM/S'(r), and the Einstein tensor of that metric acts as an anisotropic effective fluid.

  2. Dark energy era with a resolution of Hubble tension in generalized entropic cosmology

    gr-qc 2025-07 reject novelty 4.0 of 10

    A generalized-entropy dark energy model with one fitted extra parameter returns H0 near 73 km/s/Mpc on some datasets, but the reported model-comparison statistics do not favor it over LambdaCDM.

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