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Azimuthal integration
For spotty diffraction patterns, it is useful to integrate diffraction image for the azimuthal ranges where spots are more clear. For weak peaks, if you integrate over the entire azimuthal range, these weak diffraction lines cannot be clearly resolved in 1D diffraction pattern.
Sometimes you have a few diffraction spots from a course grained polycrystalline samples. Although they are intense locally in the cake
image, if you have only a few of them, the integration for the entire azimuthal angle range is not ideal because those peaks will become very weak in the 1D pattern. In this case, it is desirable to integrate for the azimuthal angle ranges where the diffraction spots exist.
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Activate zoom mode and choose an area for the azimuthal integration. It will zoom in to the area.
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In the
Cake2
tab, click theAdd
button. Repeat this until you include all the areas for integration. As shown above, the selected areas will be highlighted with blue rectangles.
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Highlight the range you want to remove in the list table.
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Click the
Remove
button.
The Save
button will allow you to save the azimuthal ranges in a text file. Later you can load the azimuthal ranges into your analysis. You can also load the azimuthal ranges used for other files. In addition, you can use this azimuthal range file to keep track of some features across different cake images.
If you want to see where a range in the table actually exists in the cake image, you can highlight the range in the table and click Highlight
button. You will see red rectangle highlighting the range you chose.
If you have too many areas to choose for integration but much smaller area to exclude from integration, it would be easier to choose the region to exclude. You first choose regions to exclude and then press the Invert
button. You will see the inversion of the selected regions.
Once you are finished in choosing areas, click the Integrate
button for integration. It will produce a new CHI file. It will also ask you if you want to add the new CHI file in the waterfall list.
(Note) I strongly recommend to maintain your_original_chi_filename.process_info.chi
format for any processed data from an original chi file. If you do so, later when you open these files and make them to base pattern, PeakPo
will still open the correct image file: your_original_chi_filename.tif
for example.
Data types and functions
Plot and sidebars
Toolbars
Base pattern
Waterfall patterns
Background subtraction
Setup
Control gray scale
Azimuthal integration
JCPDSs
JCPDS, control the view
Make a jcpds from cif
Workflow
Tweak
Save Tweak to JCPDS
Get Tweak result
Peak fitting
Unit-cell fitting
Session
Output files
Publication-ready Cake plot
Illustrator-ready PeakPo plot
Install in anaconda
Update
Run PeakPo in python
Update history
Issues and Suggestions
Environments | FBS setup | APS setups
PeakPo with Jupyter