RadVel

General Toolkit for Modeling Radial Velocities. Version 0.9.4

Attribution

Written by BJ Fulton and Erik Petigura, Fulton and Petigura (in prep.).

Please cite the following DOI if you wish to make use of this software in any publication.

Documentation

Documentation is available on ReadTheDocs.org: http://radvel.readthedocs.io

Features

• Object-oriented (i.e. models, likelihoods, priors, and posteriors are defined as objects)
• Extensible (i.e. naturally define new likelihoods, priors, parameterizatoins)
• Convenient API to fix/float parameters
• Easily plugs in to the the suite of scipy.optimize routines for max-likelihood fitting
• Works with emcee MCMC
• parameters are represented as dicts not arrays
• Can handle data from multiple telescopes
• Easily convert between different parameterizations
• Computation of Kepler's equation (numerically intensive) written in C

Future Improvements...

• Bundle up examples in convenient test cases
• PERF: Optimizations for low eccentricity orbits
• Streamline API

Tutorials

Follow examples in

• radvel/tests/SyntheticData.ipynb
• radvel/tests/EPIC-2037_Fitting+MCMC.ipynb
• radvel/tests/164922_Fitting+MCMC.ipynb

You'll need the following dependencies

• emcee
• corner
• pandas (to read in hdf5)
• matplotlib-1.5.0
• cython (tested with 0.22)
• pdflatex installed and in your system's path