Lightkurve v1.0 is a new Python package which offers a user-friendly way to work with the pixel and lightcurve products produced by the Kepler and TESS pipelines. The package aims to lower the barrier for both students, astronomers, and citizen scientists interested in analyzing Kepler and K2 data by providing high-quality tools that are accompanied by tutorials.
Detailed installation instructions are available on the documentation webpages.
The first version of lightkurve is accompanied by the following tutorials:
- 1. Introduction to Lightkurve:
- 2. Science examples:
- 3. Extracting light curves:
- 4. Correcting systematics:
- 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”)?
Additional video tutorials are available on our YouTube channel.
The animation below illustrates some of the features provided by lightkurve: