General Toolkit for Modeling Radial Velocities.

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 is available here

With RadVel you can

• Optimize
  • leverages the suite of minimizers in scipy.optimize
• Run MCMC
  • leverages emcee package for MCMC exploration of posterior
• 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

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