RadVel

General Toolkit for Modeling Radial Velocities.

Attribution

Written by BJ Fulton, Erik Petigura, Sarah Blunt, and Evan Sinukoff. Fulton et al. (2018)

Please cite the original publication and the following DOI if you make use of this software in your research.

Documentation

Documentation is available here

Features

With RadVel you can

Optimize
- leverages the suite of minimizers in scipy.optimize
Run MCMC
- leverages the emcee package for MCMC exploration of the posterior probability distribution
Visualize
- creates quicklook summary plots and statistics

RadVel is

Flexible
- fix/float parameters that are indexed as strings (emulates lmfit API)
- convert between different parameterizations e.g. e omega <-> sqrtecosw sqrtesinw
- incorporate RVs from multiple telescopes
Extensible
- Object-oriented programing makes adding new likelihoods, priors, etc. easy
Scriptable
- Code can be run through a convenient Command-line Interface (CLI)
Fast
- Kepler's equation solved in C (slower Python solver also included)
- MCMC is multi-threaded

Tutorials

Follow examples in

radvel/docs/tutorials/SyntheticData.ipynb
radvel/docs/tutorials/K2-24_Fitting+MCMC.ipynb
radvel/docs/tutorials/164922_Fitting+MCMC.ipynb
radvel/docs/tutorials/GaussianProcess-tutorial.ipynb