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https://github.com/anselmoo/rixsplot

Visualization of Hard- and Soft-X-Ray-RIXS
https://github.com/anselmoo/rixsplot

python3 qt5-gui rixs science spectroscopy synchrotron

Last synced: 10 days ago
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Visualization of Hard- and Soft-X-Ray-RIXS

Host: GitHub
URL: https://github.com/anselmoo/rixsplot
Owner: Anselmoo
License: mit
Created: 2019-09-11T17:20:19.000Z (about 5 years ago)
Default Branch: master
Last Pushed: 2020-08-14T17:28:22.000Z (about 4 years ago)
Last Synced: 2024-05-11T22:45:47.671Z (6 months ago)
Topics: python3, qt5-gui, rixs, science, spectroscopy, synchrotron
Language: Python
Homepage:
Size: 562 KB
Stars: 0
Watchers: 3
Forks: 0
Open Issues: 1
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

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# RIXSPlot

In order to understand experimental, as well as computational [RIXS](https://en.wikipedia.org/wiki/Resonant_inelastic_X-ray_scattering) 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.

![User-Interface](https://github.com/Anselmoo/RIXSPlot/blob/master/doc/userinterface.001.png)

For visualization of the RIXS spectra, the colormap reference of [`matplotlib`](https://matplotlib.org/gallery/color/colormap_reference.html#sphx-glr-gallery-color-colormap-reference-py) 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

  ![Naturual-Broadening-Interpolation](https://github.com/Anselmoo/RIXSPlot/blob/master/doc/GaussianInter.png)

**RIXSPlot** requires:

  * [PyQt5](https://riverbankcomputing.com/software/pyqt/intro)

  * [numpy](https://github.com/numpy/numpy)

  * [scipy](https://github.com/scipy/scipy)

  * [matplotlib](https://github.com/matplotlib/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