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README.md

Exoplanet population inference

This repository contains the code and text for the paper Exoplanet population inference and the abundance of Earth analogs from noisy, incomplete catalogs by Daniel Foreman-Mackey, David W. Hogg, and Timothy D. Morton and submitted to ApJ.

The code lives in the code directory and the LaTeX source code for the paper is in document.

Code

The meat of the probabilistic model is implemented in population.py. Then there are a set of scripts that you can use to generate the figures from the paper. You should look at the docstrings for details but the summary is:

  • simulate.py generates synthetic catalogs from known occurrence rate density functions,
  • main.py does the MCMC analysis on either real or simulated catalogs, and
  • results.py analyzes the results of the MCMC, makes some figures, and thins the chain to the published form.

Results

Our simulated catalogs and results are available online on figshare.

Attribution

This code is associated with and written specifically for our paper. If you make any use of it, please cite:

@article{exopop,
   author = {{Foreman-Mackey}, D. and {Hogg}, D.~W. and {Morton}, T.~D.},
    title = {Exoplanet population inference and the abundance of
             Earth analogs from noisy, incomplete catalogs},
  journal = {ArXiv --- submitted to ApJ},
     year = 2014,
   eprint = {1406.3020}
}

License

Copyright 2014 Daniel Foreman-Mackey

The code in this repository is made available under the terms of the MIT License. For details, see the LICENSE file.

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