https://github.com/anselmoo/rixsplot
Visualization of Hard- and Soft-X-Ray-RIXS
Science Score: 20.0%
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Low similarity (13.0%) to scientific vocabulary
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Visualization of Hard- and Soft-X-Ray-RIXS
Basic Info
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- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 1
- Releases: 0
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Metadata Files
README.md
RIXSPlot
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: * PyQt5 * numpy * scipy * matplotlib
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
Owner
- Name: Anselm Hahn
- Login: Anselmoo
- Kind: user
- Location: Switzerland
- Repositories: 100
- Profile: https://github.com/Anselmoo
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| Name | Commits | |
|---|---|---|
| Anselm Hahn | A****n@g****m | 62 |
| Anselm Hahn | A****n@c****e | 1 |
| ImgBotApp | I****p@g****m | 1 |
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Last synced: 11 months ago
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- Total pull requests: 19
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- Average comments per issue: 0
- Average comments per pull request: 0.05
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- Anselmoo (17)
- imgbot[bot] (1)
- sourcery-ai[bot] (1)