ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

Cobaya: Bayesian analysis in cosmology

Discussion topics for individual codes
Ada Coda
ASCL Robot
Posts: 1435
Joined: Thu May 08, 2014 5:37 am

Cobaya: Bayesian analysis in cosmology

Postby Ada Coda » Thu Oct 31, 2019 6:48 pm

Cobaya: Bayesian analysis in cosmology

Abstract: Cobaya (Code for BAYesian Analysis) provides a framework for sampling and statistical modeling and enables exploration of an arbitrary prior or posterior using a range of Monte Carlo samplers, including the advanced MCMC sampler from CosmoMC (ascl:1106.025) and the advanced nested sampler PolyChord (ascl:1502.011). The results of the sampling can be analyzed with GetDist (ascl:1910.018). It supports MPI parallelization and is highly extensible, allowing the user to define priors and likelihoods and create new parameters as functions of other parameters.

It includes interfaces to the cosmological theory codes CAMB (ascl:1102.026) and CLASS (ascl:1106.020) and likelihoods of cosmological experiments, such as Planck, Bicep-Keck, and SDSS. Automatic installers are included for those external modules; Cobaya can also be used as a wrapper for cosmological models and likelihoods, and integrated it in other samplers and pipelines. The interfaces to most cosmological likelihoods are agnostic as to which theory code is used to compute the observables, which facilitates comparison between those codes. Those interfaces are also parameter-agnostic, allowing use of modified versions of theory codes and likelihoods without additional editing of Cobaya’s source.

Credit: Torrado, Jesús; Lewis, Antony

Site: https://pypi.org/project/cobaya/
https://ui.adsabs.harvard.edu/abs/2019JCAP...09..028A

Bibcode: 2019ascl.soft10019T

ID: ascl:1910.019

Return to “Astrophysics Source Code Library”

Who is online

Users browsing this forum: MSN [Bot] and 7 guests

cron