Update README.md

doc/README.md

@@ -861,7 +861,7 @@ For the second part of the <code>phase_calibration</code> function, an in-depth
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-In the PySSPFM application, users can concretely assign the desired phase values for both forward and reverse directions using the <code>pha_fwd</code> and <code>pha_rev</code> parameters. It is essential for the user to identify whether they are dealing with a predominant electrostatic component in the on field mode through the <code>main_electrostatic</code> parameter. Additionally, they can opt to specify the sign for the electrostatic component's slope with the parameter <code>locked_elec_slope</code>. The user should also provide information about the piezoelectric coefficient sign of the material in the measurement record. With these provided parameters and the calibration protocol, phase values can be attributed to the two peaks in the histogram.
+In the PySSPFM application, users can concretely assign the desired phase values for both forward and reverse directions using the <code>pha_fwd</code> and <code>pha_rev</code> parameters. It is essential for the user to identify whether they are dealing with a predominant electrostatic component in the on field mode through the <code>main_electrostatic</code> parameter. The value of this parameter can vary from one file to another and can therefore be read from a file that contains a list of these parameter values, across <code>main_elec_file_path</code>, read with <code>extract_main_elec_tab</code> function of <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/utils/nanoloop_to_hyst/file.py">utils/nanoloop_to_hyst/file.py</a></code> script. dont le chemin est spécifié par le Additionally, they can opt to specify the sign for the electrostatic component's slope with the parameter <code>locked_elec_slope</code>. The user should also provide information about the piezoelectric coefficient sign of the material in the measurement record. With these provided parameters and the calibration protocol, phase values can be attributed to the two peaks in the histogram.
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