Journal
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
Volume -, Issue 2, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/1475-7516/2012/02/048
Keywords
dark energy experiments; dark energy theory
Funding
- STFC [ST/H002774/1]
- NSERC
- European Research Council
- National Natural Science Foundation of China [11033005, 10803001, 10975142]
- 973 program [2010CB833000]
- Science and Technology Facilities Council [ST/H002774/1, ST/I001204/1] Funding Source: researchfish
- STFC [ST/I001204/1, ST/H002774/1] Funding Source: UKRI
Ask authors/readers for more resources
We develop an efficient, non-parametric Bayesian method for reconstructing the time evolution of the dark energy equation of state w(z) from observational data. Of particular importance is the choice of prior, which must be chosen carefully to minimise variance and bias in the reconstruction. Using a principal component analysis, we show how a correlated prior can be used to create a smooth reconstruction and also avoid bias in the mean behaviour of w(z). We test our method using Wiener reconstructions based on Fisher matrix projections, and also against more realistic MCMC analyses of simulated data sets for Planck and a future space-based dark energy mission. While the accuracy of our reconstruction depends on the smoothness of the assumed w(z), the relative error for typical dark energy models is less than or similar to 10% out to redshift z = 1.5
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available