Holographic dark matter arises from the Ricci cutoff in a baryon-plus-radiation universe, matching observed densities and reversing the sign of pre-existing negative vacuum energy to match observations.
A Holographic Dark Energy Model from Ricci Scalar Curvature
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abstract
Motivated by the holographic principle, it has been suggested that the dark energy density may be inversely proportional to the area of the event horizon of the Universe. However, such a model would have a causality problem. In this paper, we propose to replace the future event horizon area with the inverse of the Ricci scalar curvature. We show that this model does not only avoid the causality problem and is phenomenologically viable, but also naturally solves the coincidence problem of dark energy. Our analysis of the evolution of density perturbations show that the matter power spectra and CMB temperature anisotropy is only slightly affected by such modification.
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HDE models with future event horizon IR cutoff partially ease the Hubble tension while Hubble-scale cutoffs do not, consistent across six models and multiple BAO/SN/CMB combinations.
A new vacuum energy definition using oscillator mass scales set by IR cutoff and black hole entropy bound derives entropic dark energy models.
Bulk viscous fluid models for dark energy yield improved fits to supernova, BAO, and CMB data over LambdaCDM, especially in the interacting non-minimal case.
citing papers explorer
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Dark Matter from Holography
Holographic dark matter arises from the Ricci cutoff in a baryon-plus-radiation universe, matching observed densities and reversing the sign of pre-existing negative vacuum energy to match observations.
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Revisiting the Hubble tension problem in the framework of holographic dark energy
HDE models with future event horizon IR cutoff partially ease the Hubble tension while Hubble-scale cutoffs do not, consistent across six models and multiple BAO/SN/CMB combinations.
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Dissipative Cosmology and the Nature of Dark Energy: Insights from Bulk Viscosity with DESI DR2 observations
Bulk viscous fluid models for dark energy yield improved fits to supernova, BAO, and CMB data over LambdaCDM, especially in the interacting non-minimal case.