BayesPSD

Bayesian power spectral analysis tools

Requires

• python 2.7 or later
• numpy
• scipy
• matplotlib

Recommended

• emcee (for efficient MCMC): https://github.com/dfm/emcee
• ipython notebooks (for running the demo): http://ipython.org/notebook.html
• acor: https://github.com/dfm/acor
• statsmodels (for estimating the inverse covariance, unless using BFGS): https://github.com/statsmodels/statsmodels
• seaborn (for pretty plotting)

Installation

1. Clone this repository in a directory on your home system:

   /my/directory/$> git clone https://github.com/dhuppenkothen/BayesPSD.git

2. add /my/directory/ to your $PYTHONPATH variablym either in .profile or .bashrc; this depends on your system!

3. Congratulations, you should now be able to use the code in the repository.

You can either

• start with the Demo notebook in ./docs/
• run the code on multiple bursts using ./code/run_bursts.py
• use any of the other code in the repo for your purposes.