Constraints on the Holographic Dark Energy Model from Type Ia Supernovae, WMAP7, Baryon Acoustic Oscillation and Redshift-Space Distortion
Lixin Xu

TL;DR
This study constrains the holographic dark energy model using combined geometric and growth rate data from supernovae, CMB, BAO, and RSD, revealing parameter ranges that suggest a phantom-like universe but also allowing quintessence behavior.
Contribution
It provides the first joint constraints on holographic dark energy parameters using multiple observational probes with Markov Chain Monte Carlo analysis.
Findings
Best-fit parameter c ≈ 0.75 with uncertainties
Best-fit σ8 ≈ 0.76 with uncertainties
Current data favor a phantom-like dark energy but allow quintessence within 3σ
Abstract
In this paper, we use the joint measurement of geometry and growth rate from matter density perturbations to constrain the holographic dark energy model. The geometry measurement includes type Ia supernovae (SN Ia) Union2.1, full information of cosmic microwave background (CMB) from WMAP-7yr and baryon acoustic oscillation (BAO). For the growth rate of matter density perturbations, the results measured from the redshift-space distortion (RSD) in the galaxy power spectrum are employed. Via the Markov Chain Monte Carlo method, we try to constrain the model parameters space. The jointed constraint shows that and with regions. After marginalizing the other irrelevant model parameters, we show the evolution of the equation of state…
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