Holographic dark energy models: A comparison from the latest observational data

TL;DR

This paper compares three holographic dark energy models using the latest observational data, finding that the original holographic dark energy (HDE) model fits the data best among them.

Contribution

The study provides a comprehensive observational comparison of HDE, ADE, and RDE models, highlighting the HDE model's superior fit based on chi-squared and Bayesian evidence.

Findings

HDE has the lowest chi-squared value among the models.

Bayesian evidence favors the HDE model over ADE and RDE.

The analysis supports the holographic principle as a viable dark energy framework.

Abstract

The holographic principle of quantum gravity theory has been applied to the dark energy (DE) problem, and so far three holographic DE models have been proposed: the original holographic dark energy (HDE) model, the agegraphic dark energy (ADE) model, and the holographic Ricci dark energy (RDE) model. In this work, we perform the best-fit analysis on these three models, by using the latest observational data including the Union+CFA3 sample of 397 Type Ia supernovae (SNIa), the shift parameter of the cosmic microwave background (CMB) given by the five-year Wilkinson Microwave Anisotropy Probe (WMAP5) observations, and the baryon acoustic oscillation (BAO) measurement from the Sloan Digital Sky Survey (SDSS). The analysis shows that for HDE, $\chi_{min}^{2}=465.912$; for RDE, $\chi_{min}^{2}=483.130$; for ADE, $\chi_{min}^{2}=481.694$. Among these models, HDE model can give the smallest $\chi^2_{min}$. Besides, we also use the Bayesian evidence (BE) as a model selection criterion to make a comparison. It is found that for HDE, ADE, and RDE, $\Delta \ln \mathrm{BE}= -0.86$, -5.17, and -8.14, respectively. So, it seems that the HDE model is more favored by the observational data.