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authorChristian Kolset <christian.kolset@gmail.com>2025-11-14 16:44:37 -0700
committerChristian Kolset <christian.kolset@gmail.com>2025-11-14 16:44:37 -0700
commit1873d28735e18866f7e0167045611440e4cbe20e (patch)
treee02fa642255bcc115e2a601a9d492863fe537caf /tutorials/module_4/4.4 Statistical Analysis.md
parentbda9939b6e93e06f61d5a51d90d6fb4a75d4aab8 (diff)
First draft of OOP tutorial complete AND worked on spectroscopy problem
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>Takeaway: Statistical distributions aren’t just for data analysis they guide how reliable we make our products.
-## Spectroscopy
+## Practical Application: Spectroscopy
### Background
Spectroscopy is the study of how matter interacts with electromagnetic radiation, including the absorption and emission of light and other forms of radiation. It examines how these interactions depend on the wavelength of the radiation, providing insight into the physical and chemical properties of materials. This is how NASA determines the composition of planetary surfaces and atmospheres. It's also applied in combustion and thermal analysis where spectroscopy measure plasma temperature and monitors exhaust composition in rocket engines.