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: [email protected]
- 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
Additionally, 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.
Samplers
Gravitational-wave tools
Plotting
- corner for generating corner plot
- matplotlib for general plotting routines
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