Space Science with Python - Concepts 2: Orbital Elements
In our following Python related tutorial videos we will dive into a new major topic: Orbits.
But before we dive into astro-dynamics, miscellaneous derivatives, equations and data scientific insights; it is important to get an understanding of the basic concepts: the orbital (Kepler) elements.
Instead of presenting some "math-heavy" theory video we get a first impression and feeling of the values by using an interactive visualisation tool that is provided by NASA (in the future, we will use Python with Flask, SPICE and Plotly to create a similar interactive dashboard!).
Let's take a look!
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NASA's orbit visualisation tool: https://ssd.jpl.nasa.gov/tools/orbit_...
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Content:
0:00 Introduction
2:03 NASA's orbit visualisation tool
5:56 Perihelion
7:18 Eccentricity
10:08 Inclination
11:57 Longitude of ascending node
13:35 Argument of perihelion
15:35 Further data
16:30 Summary & Outlook
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There is a lot to do and to learn and I hope you will join the journey. Meanwhile, if you have questions or ideas, reach out to me via:
Twitter: / mrastrothomas
Reddit: / mrastrothomas
GitHub: https://github.com/ThomasAlbin
Or drop a comment!
Talk to you later,
Thomas