dfm / araa-gps

Souce code for our ARA&A review of Gaussian process regression for astronomical time-series
MIT License
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Gaussian Process regression for astronomical time-series

Suzanne Aigrain & Daniel Foreman-Mackey

This is the source code for our submitted Annual Review of Astronomy & Astrophysics titled "Gaussian Process regression for astronomical time-series". Most of the figures in this submission are generated using scripts in this repository via the showyourwork workflow. To set up your environment, you can use the conda environment defined in environment.yml, and then run the Jupyter notebooks in src/scripts to generate the figures. To re-build the full manuscript, take a look at the showyourwork documentation.