radvel

General Toolkit for Modeling Radial Velocities

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

To Do

• Bundle up examples in convenient test cases
• Release publically (future)

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