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orix

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  • API reference
  • Contributing
  • Changelog
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  • User guide
  • API reference
  • Contributing
  • Changelog
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Getting started

  • Installation

Usage

  • Tutorials
    • Crystal reference frame
    • Visualizing point groups
    • Crystal directions
    • Inverse pole figures
    • Uniform sampling of orientation space
    • Stereographic projection
    • Sampling unit vectors
    • Visualizing Crystal Poles in the Pole Density Function
    • Clustering across fundamental region boundaries
    • Clustering orientations
    • Clustering misorientations
    • Crystal map
  • Examples
    • Crystal maps
      • Create empty crystal map
      • Select and modify data
    • Inverse pole figures
      • Inverse pole density function
    • Misorientations
      • Misorientation from aligning directions
    • Orientations
      • Orientation from aligning directions
    • Plotting
      • Subplots
      • Interactive crystal map plot
    • Rotations
      • Rotating z-vector to high-symmetry crystal directions
      • Rotations mapping the fundamental sector on S2
      • Combining rotations
    • Stereographic projection
      • Wulff net
      • Plot symmetry operations
      • Restrict to fundamental sector
      • Zoom region inset

Resources

  • Bibliography
  • Applications
  • Related projects
  • License
  • User guide
  • Related projects

Related projects#

This is a non-exhaustive list of related, open-source projects that users of orix might find useful:

  • pyxem: Python library for multi-dimensional diffraction microscopy. pyxem depends on orix for handling of crystal orientations.

  • diffsims: Python library for simulating diffraction. diffsims depends on orix for orientation sampling and handling of crystal orientations and directions.

  • kikuchipy: Python library for processing and analysis of electron backscatter diffraction (EBSD) patterns. kikuchipy depends on orix for orientation sampling and handling of crystal orientations and directions.

  • MTEX: MATLAB toolbox for analyzing and modelling crystallographic textures by means of EBSD or pole figure data.

  • DefDAP: Python package for correlating EBSD and high-resolution digital image correlation data.

  • numpy-quaternion: Python package that adds a built in quaternion data dtype to numpy. orix depends on numpy-quaternion for quaternion multiplication.

  • texture: Python scripts for analysis of crystallographic texture.

  • pymicro: Python package to work with material microstructures and 3D data sets.

  • DREAM.3D: C++ library to reconstruct, instatiate, quantify, mesh, handle and visualize multidimensional (3D), multimodal data (mainly EBSD orientation data).

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