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Latest Observational Constraints to the Ghost Dark Energy Model by Using Markov Chain Monte Carlo Approach by Feng, Chao-Jun; Li, Xin-Zhou; Shen, Xian-Yong is a scholarly article available to read on EtoBox.

What is Latest Observational Constraints to the Ghost Dark Energy Model by Using Markov Chain Monte Carlo Approach about?

Recently, the vacuum energy of the QCD ghost in a time-dependent background is proposed as a kind of dark energy candidate to explain the acceleration of the universe. In this model, the energy density of the dark energy is proportional to the Hubble parameter $H$, which is the Hawking temperature on the Hubble horizon of the Friedmann-Robertson-Walker (FRW) universe. In this paper, we perform a constraint on the ghost dark energy model with and without bulk viscosity, by using the Markov Chain Monte Carlo (MCMC) method and the combined latest observational data from the type Ia supernova compilations including Union2.1(580) and Union2(557), cosmic microwave background, baryon acoustic oscillation, and the observational Hubble parameter data.

Author

Feng, Chao-Jun; Li, Xin-Zhou; Shen, Xian-Yong

Published

2012

Language

EN