Update README.md

doc/README.md

@@ -946,7 +946,7 @@ As an initial step, the <code>nanoloops</code> folder obtained is selected. The
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-Figures resulting from the processing of the first file are generated with <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/utils/nanoloop/plot.py">utils/nanoloop/plot.py</a></code> and <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/utils/nanoloop_to_hyst/plot.py">utils/nanoloop_to_hyst/plot.py</a></code> scripts. Subsequently, each of the files is automatically analyzed without displaying the figures. For each mode (on and off field), a hysteresis loop is selected and associated with each pixel, and a set of ferroelectric properties is extracted. Additional properties on artifacts are obtained through the differential curve (coupled mode) and other properties through signals like height or deflection. The entirety of these properties contributes to the creation of SSPFM mappings.
+Figures resulting from the processing of the first file are generated with <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/utils/nanoloop/plot.py">utils/nanoloop/plot.py</a></code> and <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/utils/nanoloop_to_hyst/plot.py">utils/nanoloop_to_hyst/plot.py</a></code> scripts. Subsequently, each of the files is automatically analyzed without displaying the figures. For each mode (on and off field), a hysteresis loop is selected and associated with each pixel, and a set of ferroelectric properties is extracted. Additional properties on artifacts are obtained through the differential curve (coupled mode) and other properties through signals like height sensor or tip deflection. The entirety of these properties contributes to the creation of SSPFM mappings.
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@@ -1562,7 +1562,7 @@ User parameters:
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-The measurement parameters are extracted from the SSPFM measurement sheet, and each of the raw SSPFM measurement files is subsequently analyzed within the <code>multi_script</code> function. The <code>single_script</code> function analyzes a single raw SSPFM data file by following these steps: measurements are extracted from the file and calibrated if necessary. They are then segmented and processed into PFM data for each segment. The PFM phase signal is analyzed using the <code>phase_offset_determination</code> function of the <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/utils/nanoloop/phase.py">utils/nanoloop/phase.py</a></code> script, both in On Field and Off Field conditions. During this analysis, a phase offset is determined, and the two main peaks are identified and recentered within the phase measurement range. For instance, if the phase value range extends from -180 to 180°, and the two peaks are spaced by 180°, a phase offset will be calculated to position them at -90 and 90°, respectively. This minimizes phase switching across all measurements. Ideally, the phase offsets determined in On and Off Field conditions should be close. The average offset corresponding to the entire measurement file is determined using the <code>mean_phase_offset</code> function of the <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/utils/nanoloop/phase.py">utils/nanoloop/phase.py</a></code> script. The phase evolution with respect to the measurement file is generated using the <code>generate_graph_offset</code> function. It should be noted that the case of unipolar phase data (a single peak on the phase histogram) can be handled by the script functions.
+The measurement parameters are extracted from the SSPFM measurement sheet, and each of the raw SSPFM measurement files is subsequently analyzed within the <code>multi_script</code> function. The <code>single_script</code> function analyzes a single raw SSPFM data file by following these steps: measurements are extracted from the file and calibrated if necessary. They are then segmented and processed into PFM data for each segment. The PFM phase signal is analyzed using the <code>phase_offset_determination</code> function of the <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/utils/nanoloop/phase.py">utils/nanoloop/phase.py</a></code> script, both in On Field and Off Field conditions. During this analysis, a phase offset is determined, and the two main peaks are identified and recentered within the phase measurement range. For instance, if the phase value range extends from -180 to 180°, and the two peaks are spaced by 180°, a phase offset will be calculated to position them at -90 and 90°, respectively. This minimizes phase switching across all measurements. Ideally, the phase offsets determined in On and Off Field conditions should be close. The average offset corresponding to the entire measurement file is determined using the <code>mean_phase_offset</code> function of the <code><a href="https://github.com/CEA-MetroCarac/PySSPFM/blob/main/PySSPFM/utils/nanoloop/phase.py">utils/nanoloop/phase.py</a></code> script. The phase evolution with respect to the measurement file is generated using the <code>generate_graph_offset</code> function. It should be noted that the case of unipolar phase data (a single peak on the phase histogram) can be handled by the script functions. Typically, this script is used before the first step of processing SSPFM measurements in order to enter a phase offset value to apply to measurement before the treatment processing.
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