bilby

Contents:

  • Installation
  • Acknowledging/Citing Bilby
  • Code overview
  • Examples
  • Basics of parameter estimation
  • Priors
  • Likelihood
  • Sampling
  • Array API Support
  • Dynesty Guide
  • Bilby MCMC Guide
  • Random number generation
  • Bilby and Parameters
  • Plugins
  • Bilby output
  • Compact binary coalescence parameter estimation
  • Transient gravitational wave data I/O
  • Transient Gravitational wave priors
  • Transient gravitational wave reference information
  • Writing documentation
  • Hyper-parameters
  • Using Containers
  • Contributing to bilby
  • Frequently Asked Questions

Examples:

  • Prior Distributions with Bilby
  • Compare samplers
  • Fitting a model to data with both x and y errors with Bilby
  • Visualising the results

API:

  • bilby.core
  • bilby.gw
  • bilby.hyper
  • bilby.bilby_mcmc
bilby
  • Welcome to bilby’s documentation!
  • View page source

Welcome to bilby’s documentation!

Bilby

Bilby: a user-friendly Bayesian inference library.

The aim of bilby is to provide a user-friendly interface to perform parameter estimation. It is primarily designed and built for inference of compact binary coalescence events in interferometric data, but it can also be used for more general problems.

The code, and many examples are hosted at https://github.com/bilby-dev/bilby. For installation instructions see https://bilby-dev.github.io/bilby/installation.html.

Contents:

  • Installation
  • Acknowledging/Citing Bilby
  • Code overview
  • Examples
  • Basics of parameter estimation
  • Priors
  • Likelihood
  • Sampling
  • Array API Support
  • Dynesty Guide
  • Bilby MCMC Guide
  • Random number generation
  • Bilby and Parameters
  • Plugins
  • Bilby output
  • Compact binary coalescence parameter estimation
  • Transient gravitational wave data I/O
  • Transient Gravitational wave priors
  • Transient gravitational wave reference information
  • Writing documentation
  • Hyper-parameters
  • Using Containers
  • Contributing to bilby
  • Frequently Asked Questions

Examples:

  • Prior Distributions with Bilby
  • Compare samplers
  • Fitting a model to data with both x and y errors with Bilby
  • Visualising the results

API:

core

gw

hyper

bilby_mcmc

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© Copyright 2019, Greg Ashton.

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