A Nested Sampling Algorithm for Cosmological Model Selection

Details A Nested Sampling Algorithm for Cosmological Model Selection A Nested Sampling Algorithm for Cosmological Model Selection

2005-08-23

arxiv.org/abs/astro-ph/0508461v2

Astrophys.J.638:L51-L54,2006

Astronomy and Astrophysics

Astrophysics

4 pages, 3 figures. Minor updates to match version accepted by Astrophys J Letters

Scientific paper

10.1086/501068

The abundance of new cosmological data becoming available means that a wider range of cosmological models are testable than ever before. However, an important distinction must be made between parameter fitting and model selection. While parameter fitting simply determines how well a model fits the data, model selection statistics, such as the Bayesian Evidence, are now necessary to choose between these different models, and in particular to assess the need for new parameters. We implement a new evidence algorithm known as nested sampling, which combines accuracy, generality of application and computational feasibility, and apply it to some cosmological datasets and models. We find that a five-parameter model with Harrison-Zel'dovich initial spectrum is currently preferred.

Affiliated with

Also associated with

No associations

Rating

A Nested Sampling Algorithm for Cosmological Model Selection does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Nested Sampling Algorithm for Cosmological Model Selection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Nested Sampling Algorithm for Cosmological Model Selection will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-165325