https://github.com/sefffal/octofitter.jl

Octofitter is a Julia package for performing Bayesian inference against direct images of exoplanets, relative astrometry, and astrometric acceleration of the host star.
https://github.com/sefffal/octofitter.jl

julia

Last synced: 3 months ago
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Octofitter is a Julia package for performing Bayesian inference against direct images of exoplanets, relative astrometry, and astrometric acceleration of the host star.

• Host: GitHub
• URL: https://github.com/sefffal/octofitter.jl
• Owner: sefffal
• License: mit
• Created: 2021-05-18T16:01:54.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-10-26T18:00:28.000Z (3 months ago)
• Last Synced: 2024-10-26T19:52:28.069Z (3 months ago)
• Topics: julia
• Language: HTML
• Homepage: https://sefffal.github.io/Octofitter.jl/dev
• Size: 2.15 GB
• Stars: 32
• Watchers: 4
• Forks: 2
• Open Issues: 10
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.md

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README

        
# Octofitter.jl

[![](https://img.shields.io/badge/docs-dev-blue.svg)](https://sefffal.github.io/Octofitter.jl/dev)

Octofitter is a Julia package for performing Bayesian inference 

against a wide variety of exoplanet / binary star data.

You can also use Octofitter from Python using [octofitterpy](https://github.com/sefffal/octofitterpy).

**Read the tutorials and documentation [here](https://sefffal.github.io/Octofitter.jl/)**.

![](docs/src/assets/gallery.png)

### Read the paper

In addition to these documentation and tutorial pages, you can read the paper published in the [Astronomical Journal](https://dx.doi.org/10.3847/1538-3881/acf5cc) (open-access).

## Attribution

* If you use Octofitter in your work, please cite [Thompson et al](https://dx.doi.org/10.3847/1538-3881/acf5cc)

* If you use Gaia parallaxes in your work, please cite Gaia DR3 [Gaia Collaboration et al. 2023](https://ui.adsabs.harvard.edu/abs/2023A&A...674A...1G)

* If you use Hipparcos-GAIA proper motion anomaly, please cite [Brandt 2021](https://ui.adsabs.harvard.edu/abs/2021ApJS..254...42B)

* If you use example data in one of the tutorials, please cite the sources listed [Brandt 2021](https://ui.adsabs.harvard.edu/abs/2021ApJS..254...42B)

* If you use one of the included functions for automatically retreiving data from a public dataset, eg HARPS RVBank, please cite the source as appropriate.

* If you adopt the O'Neil et al. 2019 observable based priors, please cite [O'Neil et al. 2019](https://ui.adsabs.harvard.edu/abs/2019AJ....158....4O).

* Please also consider citing the HMC sampler backend, [Xu et al 2020](http://proceedings.mlr.press/v118/xu20a.html)

* If you use RV phase folded plot, please consider citing Makie.jl [Danisch & Krumbiegel, (2021).](https://doi.org/10.21105/joss.03349)

* If you use the pairplot functionality, please cite:

```

@misc{Thompson2023,

  author = {William Thompson},

  title = {{PairPlots.jl} Beautiful and flexible visualizations of high dimensional data},

  year = {2023},

  howpublished = {\url{https://sefffal.github.io/PairPlots.jl/dev}},

}

```

## Ready?

For instructions, see the documentation page:

[![](https://img.shields.io/badge/docs-dev-blue.svg)](https://sefffal.github.io/Octofitter.jl/dev)