https://github.com/dfm/araa-gps

Souce code for our ARA&A review of Gaussian process regression for astronomical time-series
https://github.com/dfm/araa-gps

Last synced: about 1 year ago
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Souce code for our ARA&A review of Gaussian process regression for astronomical time-series

• Host: GitHub
• URL: https://github.com/dfm/araa-gps
• Owner: dfm
• License: mit
• Created: 2022-08-08T19:50:39.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2025-03-03T20:05:58.000Z (about 1 year ago)
• Last Synced: 2025-03-25T06:18:26.430Z (about 1 year ago)
• Language: TeX
• Size: 25.6 MB
• Stars: 30
• Watchers: 4
• Forks: 6
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: 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](https://www.annualreviews.org/journal/astro) 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](https://github.com/showyourwork/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](https://show-your.work).