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PeakPo
conducts rapid analysis of a large powder X-ray diffraction dataset. It is designed particularly for synchrotron diffraction data measured in the diamond-anvil cell.
The key functions include:
- Quick navigation through a large dataset
- Comparison of diffraction images and patterns
- Overlay of expected peak positions for candidate phases at given pressures and temperatures
- Visual adjustment of unit-cell parameters to match diffraction peak positions
- Peak fitting
- Unit-cell parameter fitting
- Preparation of publication-ready plots
The analysis results can be saved in a *.dpp
file. A *.dpp
file can be used as a template for analyzing a large set of data with common features.
A range of output files are also generated in [your chi data file name]-param
folder, which allows for plotting unrolled images and processed diffraction patterns together with unit-cell fit results in other softwares and python coding in Jupyter.
PeakPo itself can save high-quality publication-ready plots in a pdf
format which can be read from vector graphics softwares such as illustrator for further modifications.
- This wiki is to provide introduction on basic functions available in
PeakPo
, together with installation and execution of the software.
- Please feel free to email me comments, recommendations, and bug report.
- When you report bugs or errors to me, please send me the error messages as well.
- Feel free to email me, if you want to see wiki on particular subjects on
PeakPo
.
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