small bug-fixes and greek alphabet for paired peaks

docs/macros/belts_tuning.md

@@ -25,7 +25,7 @@ Then, call the `COMPARE_BELTS_RESPONSES` macro and look for the graphs in the re
 
 ### Belts frequency profiles
 
-On these graphs, **you want both curves to look similar and overlap to form a single curve**: try to make them fit as closely as possible in frequency **and** in amplitude. Usually a belt graph is composed of one or two main peaks (more than 2 peaks can hint about mechanical problems). It's acceptable to have "noise" around the main peaks, but it should be present on both curves with a comparable amplitude. Keep in mind that when you tighten a belt, its peaks should move diagonally toward the upper right corner, changing significantly in amplitude and slightly in frequency. Additionally, the magnitude order of the main peaks *should typically* range from ~500k to ~2M on most machines.
+On these graphs, **you want both curves to look similar and overlap to form a single curve**: try to make them fit as closely as possible in frequency **and** in amplitude. Usually a belt graph is composed of one or two main paired peaks (more than 2 peaks can hint about mechanical problems). It's acceptable to have "noise" around the main peaks, but it should be present on both curves with a comparable amplitude. Keep in mind that when you tighten a belt, its peaks should move diagonally toward the upper right corner, changing significantly in amplitude and slightly in frequency. Additionally, the magnitude order of the main peaks *should typically* range from ~500k to ~2M on most machines.
 
 Aside from the actual belt tension, the resonant frequency/amplitude of the curves depends primarily on three parameters:
   - the *mass of the toolhead*, which is identical on CoreXY, CrossXY and H-Bot machines for both belts. So this will unlikely have any effect here
@@ -40,7 +40,7 @@ The Cross-Belts plot is an innovative cool way to compare the frequency profiles
 
 The good zone, wider at the bottom (low-amplitude regions where the deviation doesn't matter much) and narrower at the top right (high-energy region where the main peaks lie), represents acceptable deviations. So **you want all points to be close to the ideal center line and as many as possible within the green zone**, as this means that the bands are well tuned and behave similarly.
 
-Paired peaks of exactly the same frequency will be on the same point (labeled A1/A2, ...) and the distance from the center line will show the difference in energy. For paired peaks that also have a frequency delta between them, they are displayed as two points (labeled A1 and A2, ...) and the additional distance between them along the plotted line represents their frequency delta.
+Paired peaks of exactly the same frequency will be on the same point (labeled α1/α2, β1/β2, ...) and the distance from the center line will show the difference in energy. For paired peaks that also have a frequency delta between them, they are displayed as two points (labeled α1 and α2, ...) and the additional distance between them along the plotted line represents their frequency delta.
 
 ### Estimated similarity and mechanical issues indicator
 

shaketune/measurement/axes_input_shaper.py

@@ -57,6 +57,7 @@ def axes_shaper_calibration(gcmd, config, st_thread: ShakeTuneThread) -> None:
         point = (x, y, z)
 
     toolhead.manual_move(point, feedrate_travel)
+    toolhead.dwell(0.5)
 
     # Configure the graph creator
     creator = st_thread.get_graph_creator()

shaketune/measurement/belts_comparison.py

@@ -56,6 +56,7 @@ def compare_belts_responses(gcmd, config, st_thread: ShakeTuneThread) -> None:
         point = (x, y, z)
 
     toolhead.manual_move(point, feedrate_travel)
+    toolhead.dwell(0.5)
 
     # Configure the graph creator
     motors_config_parser = MotorsConfigParser(config, motors=None)

shaketune/measurement/static_freq.py

@@ -50,6 +50,7 @@ def excitate_axis_at_freq(gcmd, config) -> None:
         point = (x, y, z)
 
     toolhead.manual_move(point, feedrate_travel)
+    toolhead.dwell(0.5)
 
     min_freq = freq - 1
     max_freq = freq + 1

shaketune/post_processing/graph_belts.py

@@ -22,7 +22,7 @@ matplotlib.use('Agg')
 from ..helpers.common_func import detect_peaks, parse_log, setup_klipper_import
 from ..helpers.console_output import ConsoleOutput
 
-ALPHABET = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'  # For paired peaks names
+ALPHABET = 'αβγδεζηθικλμνξοπρστυφχψω'  # For paired peak names (using the Greek alphabet to avoid confusion with belt names)
 
 PEAKS_DETECTION_THRESHOLD = 0.1  # Threshold to detect peaks in the PSD signal (10% of max)
 DC_MAX_PEAKS = 2  # Maximum ideal number of peaks
@@ -524,7 +524,7 @@ def belts_calibration(
 
     # Adding Shake&Tune version in the top right corner
     if st_version != 'unknown':
-        fig.text(0.995, 0.985, st_version, ha='right', va='bottom', fontsize=8, color=KLIPPAIN_COLORS['purple'])
+        fig.text(0.995, 0.980, st_version, ha='right', va='bottom', fontsize=8, color=KLIPPAIN_COLORS['purple'])
 
     return fig
 

shaketune/post_processing/graph_creator.py

@@ -111,6 +111,7 @@ class BeltsGraphCreator(GraphCreator):
         )
         fig = belts_calibration(
             lognames=[str(path) for path in lognames],
+            kinematics=self._kinematics,
             klipperdir=str(self._config.klipper_folder),
             accel_per_hz=self._accel_per_hz,
             st_version=self._version,

shaketune/post_processing/graph_shaper.py

@@ -381,9 +381,9 @@ def shaper_calibration(
         title_line4 = ''
         title_line5 = ''
     fig.text(0.12, 0.957, title_line2, ha='left', va='top', fontsize=16, color=KLIPPAIN_COLORS['dark_purple'])
-    fig.text(0.58, 0.965, title_line3, ha='left', va='top', fontsize=10, color=KLIPPAIN_COLORS['dark_purple'])
+    fig.text(0.58, 0.963, title_line3, ha='left', va='top', fontsize=10, color=KLIPPAIN_COLORS['dark_purple'])
-    fig.text(0.58, 0.951, title_line4, ha='left', va='top', fontsize=10, color=KLIPPAIN_COLORS['dark_purple'])
+    fig.text(0.58, 0.948, title_line4, ha='left', va='top', fontsize=10, color=KLIPPAIN_COLORS['dark_purple'])
-    fig.text(0.58, 0.919, title_line5, ha='left', va='top', fontsize=10, color=KLIPPAIN_COLORS['dark_purple'])
+    fig.text(0.58, 0.933, title_line5, ha='left', va='top', fontsize=10, color=KLIPPAIN_COLORS['dark_purple'])
 
     # Plot the graphs
     plot_freq_response(