Welcome to the documentation page for Octofitter.jl. This page includes tutorial and an API reference for using this package.
Octofitter is a Julia package for performing Bayesian inference against a wide variety of exoplanet / binary star data.
The package provides a simple but powerful modelling language which is used to generate efficient, differentiable code. You can then plug it into a variety of samplers. The package also contains analysis and visualization tools for understanding your results.
Octofitter is under active development and is only tested against Julia 1.9+
- sample directly from images and interferometric visibilities
- exoplanet astrometry
- stellar astrometric acceleration
- radial velocity
- experimental support for transit data based on Transits.jl
Any and all combinations also work together.
- multiple planets (one or more)
- co-planar, and non-coplanar systems
- arbitrary priors and parameterizations
- link mass to photometry via atmosphere models
Fit astrometry on your laptop in minutes!
- Highly optimized code and derivatives are generated from your model
- Higher order sampler (No U-Turn sampler) which explores the parameter space very efficiently
- Run on a single core, multiple threads, or hundreds of nodes by changing just a single line of code
The package supports only bound, 2-body Keplerian orbits. Support for hyperbolic orbits and multi-body physics are not currently planned. Pull-requests to PlanetOrbits implementing this functionality would be welcome.
In addition to these documentation and tutorial pages, you can read the paper published in the Astronomical Journal (open-access).
Please cite this paper if you use Octofitter in your work.
- Fit Relative Astrometry
- Fit Proper Motion Anomaly
- Fitting Images
- Derived Variables
- Connecting Mass with Photometry