How to Find Exoplanets with Python + Lightkurve
⭐ Learn how to find your own exoplanets with Python and Lightkurve. We’ll go through the basic steps of analyzing stellar timeseries data from TESS (Transiting Exoplanet Survey Satellite) to find periodic changes in brightness which may indicate the presence of a planet in orbit of a star. There’s about 9.5 million stars to look at in the TESS dataset so perhaps you can find an exoplanet that’s never been discovered before.
00:00 Intro
01:08 What the lightcurve of an exoplanet orbiting a star should look lke
08:05 Finding stars to analyze
13:10 Recap and Summary
⭐Get all the code used in the tutorial with the Google Colab notebook here:
https://colab.research.google.com/dri...
🗺️ Learn more about Lightkurve:
https://docs.lightkurve.org/
✳️ Great videos on finding exoplanets from Anton Petrov
https://www.youtube.com/watch?v=J2yD9...
I’ve been basing this tutorial heavily on the Lightkurve documentation and Anton’s nice videos - check them out!
⚗️ More about the science behind exoplanet discovery
• How can we determine the size of a planet ...
✨Strange young stars orbiting the galactic centre
http://blackholes.stardate.org/resear...
🌌 The Manifesto of the Committee to Abolish Outer Space (NSFW):
https://rentry.co/space_manifesto](https://rentry.co/space_manifesto
👍 Subscribe for more friendly explorations in code
/ @mikaelcodes
#Python #Lightkurve #NASA #MIT #Astronomy #Exoplanets #Stars #Stargazing #Coding #Colab #Science #Space #Programming