On holographic dark-energy models
Sergio del Campo, J\'ulio.C. Fabris, Ram\'on Herrera, Winfried, Zimdahl

TL;DR
This paper compares various holographic dark-energy models using observational data, finding that while the $\\Lambda$CDM model is statistically favored, some holographic models remain competitive depending on the criteria and priors used.
Contribution
It provides a unifying analysis of different holographic dark-energy models and evaluates their viability against observational data using Bayesian statistical methods.
Findings
The $\\Lambda$CDM model is strongly favored by BIC.
Holographic models with Hubble and Ricci cutoffs are competitive under AIC.
Priors reducing free parameters can make holographic models more viable.
Abstract
Different holographic dark-energy models are studied from a unifying point of view. We compare models for which the Hubble scale, the future event horizon or a quantity proportional to the Ricci scale are taken as the infrared cutoff length. We demonstrate that the mere definition of the holographic dark-energy density generally implies an interaction with the dark-matter component. We discuss the relation between the equation-of-state parameter and the energy density ratio of both components for each of the choices, as well as the possibility of non-interacting and scaling solutions. Parameter estimations for all three cutoff options are performed with the help of a Bayesian statistical analysis, using data from supernovae type Ia and the history of the Hubble parameter. The CDM model is the clear winner of the analysis. According to the Bayesian Information Criterion (),…
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