A simple visualization tool intended to help interpret or predict the azimuthal variation in X-ray powder diffraction data
Project description
ODFex
Orientation Distribution Function Explorer
A simple visualization tool intended to help interpret or predict the azimuthal variation in X-ray powder diffraction data
- 3D visualization of ODF (so far only fibre texture) in relation to the sample orientation
- Visualization of the scattering vector $\vec{Q}$ and the contributing crystallite direction along the preferred orientation direction cone (POD)
- Visualization of the azimuthal intensity variation of reflections at similar $2\theta$-values and their summed contribution
- Easy drag-n-drop import of CIF files
Examples
The images below show the two main windows in ODFex, the main window containing the user input interface and a plot of the azimuthal intensities of the selected reflections, and the 3D sphere window showing the ODF along with several relevant vectors and cone segments.
Acknowledgements
The visuals, naming convention, and underlying math is heavily inspired by Wright et al. (1996)
References
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
odfex-0.0.2.tar.gz
(178.8 kB
view details)
Built Distribution
ODFex-0.0.2-py3-none-any.whl
(178.4 kB
view details)
File details
Details for the file odfex-0.0.2.tar.gz
.
File metadata
- Download URL: odfex-0.0.2.tar.gz
- Upload date:
- Size: 178.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a9802f88bbc6147fdda58e48f07afbd863bf73e332f7a58e34b7b4138ec5475e |
|
MD5 | 0df9ae62d8cd8dc71856744cbc8392fa |
|
BLAKE2b-256 | d855b046a82f2aede1d374f28c2d874e9f037b9485de360db49de5897823804a |
File details
Details for the file ODFex-0.0.2-py3-none-any.whl
.
File metadata
- Download URL: ODFex-0.0.2-py3-none-any.whl
- Upload date:
- Size: 178.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fa4ac511651e5ac4b22a015710dfe1ff686e0072f87e87a6eaa240729b0d8f3a |
|
MD5 | b110953d7ea401547039d9562fc3e4d5 |
|
BLAKE2b-256 | d8cd34d082ae7c2fdc159ae2e7592636df043f7cc369d4dd03751a5cb7b31495 |