Hello world! Welcome to the documentation for
orbitize, a Python
package for fitting orbits of directly imaged planets.
orbitize packages two back-end algorithms into a consistent API.
It’s written to be fast, extensible, and easy-to-use. The tutorials below will walk
you through the code and introduce some technical stuff, but we suggest learning about
the Orbits for the Impatient (OFTI) algorithm
and MCMC algorithms (we use this one) before diving in.
Our contributor guidelines
document will point you to more useful resources.
orbitize is designed to meet the needs of the exoplanet imaging community, and we
encourage community involvement. If you find a bug, want to request a feature, etc. please
create an issue on GitHub.
orbitize is patterned after and inspired by radvel.
If you use
orbitize in your work, please cite our forthcoming
paper and the following DOI:
If you use the OFTI algorithm, please also cite Blunt et al (2017).
- Detailed API Documentation
orbitize is under active development, and we’ve still got a lot to do! To get involved,
check out our contributor guidelines,
look over our issues list, and/or reach out to
Sarah. We’d love to have
you on our team!
- Some major planned updates:
fit orbits of multiple objects in one system
fit Gaia astrometry & RVs
marginalize over instrumental uncertainties
API change to lay the groundwork for dynamical mass calculation.
JeffreysPrior -> LogUniformPrior
Added some informative error messages for input tables.
Bugfix for RA/Dec inputs to the OFTI sampler (Issue #108).
Add ability to customize date of tau definition.
Sampler now saves choice of tau reference with results.
Default tau value is now Jan 1, 2020.
Add custom likelihood function.
Add progress bar for
Add customizable color axis for orbit plots.
Add sep/PA panels to orbit plot.
GaussianPriornow operates on only positive numbers by default.
Expand input reading functionality.
Bugfixes for MCMC.
Bugfix for building on CentOS machines.