Welcome to lightkurve!¶
The lightkurve Python package offers a beautiful and user-friendly way to analyze astronomical flux time series data, in particular the pixels and lightcurves obtained by NASA’s Kepler, K2, and TESS missions.
This package aims to lower the barrier for both students, astronomers, and citizen scientists interested in analyzing Kepler and TESS space telescope data. It does this by providing high-quality building blocks and tutorials which enable both hand-tailored data analyses and advanced automated pipelines.
Lightkurve is an open source community project owned by the authors and supported by NASA’s Kepler/K2 Guest Observer Office. The development takes place on GitHub and everyone is invited to contribute.
- Introduction to lightkurve
- Science with lightkurve
- Extracting lightcurves
- Systematics correction
- Interactively inspecting Target Pixel Files and Lightcurves
- How to remove common systematics using basis vectors (CBVs)
- How to remove K2 motion systematics with SFF?
- How does the SFF method work?
- Replicating Vanderburg & Johnson 2014 using lightkurve
- How to identify time-variable background noise (“rolling bands”)?