skip to primary navigationskip to content
 

CosmoClust

CosmoClust Software

Clustered Nested Sampling: Efficient Bayesian Inference for Cosmology

CosmoClust is an efficient implementation of John Skilling’s method of nested sampling which calculates the Bayesian evidence for cosmological model selection. It is incorporated into the popular CosmoMC parameter space sampler for convenience.

We have implemented CosmoClust into the latest version of CosmoMC, the archive file for which is available here.

Download the paper astro-ph/0701867.

RSS Feed Latest news

Nobel Prize in Physics for Didier Queloz

Oct 08, 2019

Nobel Prize in Physics awarded to Prof Didier Queloz from Cavendish Astrophysics

View all news