A user-friendly Bayesian inference library
A user-friendly Bayesian inference library. Fulfilling all your Bayesian dreams.
Online material to help you get started:
If you need help, find an issue, or just have a question/suggestion you can
Join our Slack workspace (you may need to email the support desk to request an invite)
Email our support desk: firstname.lastname@example.org
Ask questions (or search through other users questions and answers) on StackOverflow using the bilby tag
For www.git.ligo.org users, submit issues directly through the issue tracker
For www.chat.ligo.org users, join the #bilby-help or #bilby-devel channels
We encourage you to contribute to the development of bilby. This is done via a merge request. For help in creating a merge request, see this page or contact us directly. For advice on contributing, see the contributing guide.
If you use
bilby in a scientific publication, please cite
Bilby: A user-friendly Bayesian inference library for gravitational-wave astronomy
Bayesian inference for compact binary coalescences with BILBY: validation and application to the first LIGO-Virgo gravitational-wave transient catalogue
The first of these papers introduces the software, while the second introduces advances in the sampling approaches and validation of the software.
If you use the
bilby_mcmc sampler, please additionally cite
bilby builds on a number of open-source packages. If you
make use of this functionality in your publications, we recommend you cite them
as requested in their associated documentation.
corner for generating corner plot
matplotlib for general plotting routines
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