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[ascl:1805.027] MontePython 3: Parameter inference code for cosmology

MontePython 3 provides numerous ways to explore parameter space using Monte Carlo Markov Chain (MCMC) sampling, including Metropolis-Hastings, Nested Sampling, Cosmo Hammer, and a Fisher sampling method. This improved version of the Monte Python (ascl:1307.002) parameter inference code for cosmology offers new ingredients that improve the performance of Metropolis-Hastings sampling, speeding up convergence and offering significant time improvement in difficult runs. Additional likelihoods and plotting options are available, as are post-processing algorithms such as Importance Sampling and Adding Derived Parameter.

Code site:
https://github.com/brinckmann/montepython_public
Appears in:
http://adsabs.harvard.edu/abs/2018arXiv180407261B
Bibcode:
2018ascl.soft05027B

Views: 660

ascl:1805.027
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