dfm / araa-gps

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

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Article status Article tarball Read the article

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.

About

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

License:MIT License


Languages

Language:TeX 83.7%Language:Jupyter Notebook 16.1%Language:Python 0.2%