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Spheric images (Quantification of directional dependence of ordering)

I decided to put our discussion here. If you go to misc/ and run run.py
You expect to see the following images.

image

image

The idea is the following
1, convert each hkl to a spherical coordinates (theta, phi)
2, generate 10000 mesh grids to evenly sample the sphere
3, for each hkl, we place a Gaussian on the unit sphere according to the intensity and a sigma value
4, use plotly to show the interctive image
5, use Matplotlib to show the static image (here I used the spherical harmonic expansion)

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