Understanding Fundamental Processes through Data Analysis in Space Research

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Space research involves studying fluid dynamics, nonlinear dynamics chaos, and observational studies to understand fundamental processes. Data analysis from satellites in orbit is crucial for understanding the magnetosphere and space weather, which is vital for sustaining technology. Analyzing magnetic fields of other planets is also essential. The field heavily relies on data science, machine learning, and computational models.

The radius of the Earth is over 6,000 kilometers, but the deepest we've ever dug below the surface is only about 12 km. Yet we have a quite reliable idea of the structure of the Earth's interior -- inner core, outer core, mantle, crust -- not to mention pretty good pictures of what's going on inside some other planets. How do we know those things, and what new things are we learning in the exoplanet era? I talk with astrophysicist and planetary scientist Sabine Stanley about how we use gravitation, seismology, magnetic fields, and other tools to learn what's happening inside planets.

Blog post with transcript: https://www.preposterousuniverse.com/podcast/2024/01/29/264-sabine-stanley-on-whats-inside-planets/

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Sabine Stanley received a Ph.D. in geophysics from Harvard University. She is currently a Bloomberg Distinguished Professor at Johns Hopkins University. She has been awarded the William Gilbert Award from the American Geophysical Union. Her recent book is What's Hidden Inside Planets?

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