benelson / FML

FML

This is a repository for a tutorial on computing a fully marginalized likelihood with importance sampling. Methodological and science details can be found at this arXiv link.

Prerequisites

The tutorial uses common modules from a standard Anaconda installation. There are a few other modules you will have to install separately through e.g. pip. Those are

pip install corner

for creating corner plots,

pip install emcee

for performing a Markov chain Monte Carlo for a specified dataset and model, and

pip install rebound

for integrating the planetary system and thus computing the model evaluations.

Attribution

Please cite this if you use this method in your research.