pith. machine review for the scientific record. sign in

arxiv: 0708.1817 · v2 · submitted 2007-08-14 · 🌌 astro-ph

Recognition: unknown

Dark energy and cosmic curvature: Monte-Carlo Markov Chain approach

Authors on Pith no claims yet
classification 🌌 astro-ph
keywords cosmiccurvaturedarkenergydatachainconstraintessence
0
0 comments X
read the original abstract

We use the Monte-Carlo Markov Chain method to explore the dark energy property and the cosmic curvature by fitting two popular dark energy parameterizations to the observational data. The new 182 gold supernova Ia data and the ESSENCE data both give good constraint on the DE parameters and the cosmic curvature for the dark energy model $w_0+w_a z/(1+z)$. The cosmic curvature is found to be $|\Omega_k|\la 0.03$. For the dark energy model $w_0+w_a z/(1+z)^2$, the ESSENCE data gives better constraint on the cosmic curvature and we get $|\Omega_k|\leq 0.02$.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.