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This repository was archived by the owner on Nov 10, 2022. It is now read-only.

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Name		Name	Last commit message	Last commit date
1a - Plotting y vs. error on y.ipynb		1a - Plotting y vs. error on y.ipynb
1b - Plotting between restricted ranges.ipynb		1b - Plotting between restricted ranges.ipynb
2a - Area under tallest peak.ipynb		2a - Area under tallest peak.ipynb
2b - Correcting areas with linear background.ipynb		2b - Correcting areas with linear background.ipynb
3 - Rolling average.ipynb		3 - Rolling average.ipynb
4 - Peak identification.ipynb		4 - Peak identification.ipynb
5 - Gaussian and Lorentzian fitting.ipynb		5 - Gaussian and Lorentzian fitting.ipynb
README.md		README.md
ZnO.xye		ZnO.xye

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Diffraction Pattern Python Analysis

About Analysis

This project builds fundamental and repeatable applications for diffraction pattern analysis. The functions created can be extended to different datasets with easy adjustments.

Very grateful to Tom Wood for his infinite coding knowledge and his numpy tutorials which were used as a basis for this project. https://github.com/tom-wood/numpy-tutorials

Deployment

To explore this analysis, first download the ZnO.xye file and any of the python files you wish to view into the same folder. The python files can then by loaded in Anaconda's Jupyter Notebook.