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Notebook with numerical methods complementing the Note: A “Rosetta Stone” for Studies of Spatial Variation in Astrophysical Data: Power Spectra, Semivariograms, and Structure Functions. See the note on the arXiv:

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The Jupyter notebook takes a while to load in GitHub. We recommend you clone the repository and open it on your own computer. The only dependencies needed are Matplotlib, SciPy, Numpy, and cblind. We don't anticipate version specification to be an issue, but let us know if it is for you by raising an issue in this repo. The six fields you can explore are below and labeled according to their file name in the Data folder.

6 random fields

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Notebook with numerical methods complementing the Note: A “Rosetta Stone” for Studies of Spatial Variation in Astrophysical Data: Power Spectra, Semivariograms, and Structure Functions. See the note on the arXiv:

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