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A simple and beautiful package for astronomical flux time series analysis in Python.

Project description

A beautiful package for astronomical flux time series analysis in Python.

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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.

http://lightkurve.keplerscience.org/_images/lightkurve-teaser.gif

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.

Documentation

Read the documentation at http://lightkurve.keplerscience.org.

Quickstart

If you have a working version of Python 2 or 3 on your system, you can simply install this package using pip:

pip install lightkurve

Once installed, visit our quickstart guide at http://lightkurve.keplerscience.org/tutorials/quickstart.html.

Contributing

We welcome community contributions from everyone! Please read the contribution guidelines at http://lightkurve.keplerscience.org/contributing.html.

Citing

If you find this package useful in your research, please cite it and give us a GitHub star! Please read the citation instructions at http://lightkurve.keplerscience.org/citing.html.

Contact

Lightkurve is an open source community project owned by the authors and supported by the Kepler/K2 Guest Observer Office. You can contact us via keplergo@mail.arc.nasa.gov.

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lightkurve-1.0b19.tar.gz (495.8 kB view hashes)

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