In order to understand experimental, as well as computational RIXS results, the RIXSPlot is developed as a PythonQt-Interface. RIXSPlot allows plotting of the experimental as well as the calculated RIXS-Maps and can generate the XAS-, XES-, and EnergyLoss-Cuts. For this reason, three subplots will be generated in the main-panel for XAS, XES, and RIXS and the RIXS-cuts can be extracted of each single windows just by clicking on the observed feature. After clicking, the data will be immediately exported as txt-file.
For visualization of the RIXS spectra, the colormap reference of matplotlib is used. In addition to that, RIXSPlot can generate RIXS-Maps with a squared root or logarithmic contrast level, which is advantageous in case of dominating features such an elastic line or very intense rising- edge.
RIXSPlot provides:
- Visualization of RIXS-Maps and their RIXS-cuts
- Exporting of (opt: averaged) XAS- and XES-Spectra from RIXS
- Re-calibrating of the RIXS-Maps
- Natural-Broadening-Interpolation for converting single RIXS-spectra to a complete RIXS-Map
RIXSPlot requires:
Further requirements are the format of the RIXS-data. The ASCII-file should like this:
| Incident Energy | Emission Energy | Intensity |
|---|---|---|
| 0.0 | 0.0 | 0.0 |
| 0.1… | 0.1… | 0.1… |
| ⋮ | ⋮ | ⋮ |
| ⋮ | ⋮ | ⋮ |
| ⋮ | ⋮ | ⋮ |
| #end | #end | #end |
Installing and Running:
python setup.py install
python -m RIXSPlot