Cosmonest is an algorithm for calculating the model likelihood (or "Evidence") in a Bayesian framework. It is based on an original concept by John Skilling. It was developed as a code by Pia Mukherjee, David Parkinson and Andrew R. Liddle.
The algorithm and its implementation, together with some applications for Cosmological Model Selection, are described in the following papers:
- "A Nested Sampling Algorithm for Cosmological Model Selection", Mukherjee, Parkinson & Liddle, ApJ (2006), astro-ph/0508461
- "Model selection as a science driver for dark energy surveys", Mukherjee, Parkinson, Corasaniti, Liddle & Kunz, MNRAS (2006), astro-ph/0512484
- "A Bayesian model selection analysis of WMAP3", Parkinson, Mukherjee & Liddle, PRD, in press (2006), astro-ph/0605003
- "Model selection forecasts for the spectral index from the Planck satellite", Pahud, Liddle, Mukherjee & Parkinson, PRD, in press (2006), astro-ph/0605004
See the ReadMe file for program documentation and download.
If you use this software, please reference the first and third papers above.