Comments (3)
Unfortunately the answer is no. The current examples cover only parts of what you want to achieve. In particular there are some examples which cover how to set up the goniometer and area detector parts. see for example https://github.com/dkriegner/xrayutilities/blob/main/examples/xrayutilities_example_plot_3D_ESRF_ID01.py
For finding the orientation matrix for your case there are no examples.
If you generate a nice example it would be worth to add it to the collection of examples.
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@dkriegner , thanks for the reply. I can try to set up an example like this. Could you point me to the functions related with finding the orientation matrix, and transform into reciprocal space?
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There is not much regarding the orientation matrix. The biggest problem I see here is that you will have to identify and index your peaks. There is nothing in xrayutilities which particularly is suited for that.
Once you have your peaks identified its rather straight forward. see for example https://github.com/dkriegner/xrayutilities/blob/main/examples/xrayutilities_orientation_matrix.py
the transformation to reciprocal space you find in the example i mentioned in my previous report. you will have to define your goniometer and detector parameters. this part should be the easy one.
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Related Issues (20)
- make it possible to show different planes in reciprocal space (xu.materials.show_reciprocal_space_plane)
- Clarification of `Experiment` parameters `ndir`, `idir` and `sampleor` HOT 1
- Implementation of the anisotropic Poisson ratio
- Implementation of multiprocessing for simpack.DynamicalModel HOT 6
- installation with pyproject.toml produce a warning about the data HOT 4
- 1.7.4 warning during the Debian build process (test) HOT 1
- C-code does not respect the xrayutilities.config.VERBOSITY
- add doctest integration in the azure pipelines
- implementation of FitModel is very weird
- _area_detector_calib_fit is an empty function? HOT 2
- Testdata for Mythen Detector HOT 3
- numpy 1.25 deprecation warnings
- Stacking orientation of non-cubic layers HOT 8
- Loading .ras Files HOT 5
- Import error with numpy.core.multiarray HOT 3
- Positional arguments in KinematicalModel.simulate() HOT 3
- multiprocessing not using multiple threads HOT 1
- Exceptions in thread during Convolve gets stuck waiting for results instead of throwing an error in the main function call HOT 6
- lmfit 1.3.0 breaks simpack.FitModel HOT 2
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