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Update README.md
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yudgugger authored May 22, 2024
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Expand Up @@ -1665,13 +1665,8 @@ The measurement parameters are extracted from the SSPFM measurement sheet, and e
#### VIII.2.c) Figures

<p align="center" width="100%">
<img align="center" width="100%" src=https://github.com/CEA-MetroCarac/PySSPFM/blob/main/doc/_static/phase_offset_analyzer_histo.PNG> <br>
<em>Histogram of phase values for On Field measurements, after applying the phase offset determined by the script <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/toolbox/phase_offset_analyzer.py">toolbox/phase_offset_analyzer.py</a></code> (figure generated with <code>refocused_phase_histo</code> function of <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/utils/nanoloop/plot_phase.py">utils/nanoloop/plot_phase.py</a></code> script). Both On and Off Field phase histogram figure are plotted.</em>
</p>

<p align="center" width="100%">
<img align="center" width="60%" src=https://github.com/CEA-MetroCarac/PySSPFM/blob/main/doc/_static/phase_offset_analyzer_graph.PNG> <br>
<em>Graph showing the evolution of the phase offset determined by the script <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/toolbox/phase_offset_analyzer.py">toolbox/phase_offset_analyzer.py</a></code> as a function of the index of the raw SSPFM measurement files (figure generated with <code>generate_graph_offset</code> function of <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/toolbox/phase_offset_analyzer.py">toolbox/phase_offset_analyzer.py</a></code> script).</em>
<img align="center" width="100%" src=https://github.com/CEA-MetroCarac/PySSPFM/blob/main/doc/_static/phase_variation_with_voltage.PNG> <br>
<em>Detection of phase inversion with phase variation with voltage (figure generated with <code>plot_phase_bias_grad</code> function of <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/utils/nanoloop/plot_phase.py">utils/nanoloop/plot_phase.py</a></code> script)</em>
</p>

### VIII.3) Loop clustering (K-Means or GMM)
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