Add new source data for TIA measurements + plotting

2024-08-06 16:52:24 +02:00 · 2024-08-06 16:52:24 +02:00 · 77f5ef1b67
commit 77f5ef1b67
parent 1f629bbadd
45 changed files with 542843 additions and 11 deletions
--- a/Images/Datavis/V1_Measurements/V1.1-a1/120M/bandwidth.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/120M/bandwidth.csv
@ -0,0 +1,202 @@
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--- a/Images/Datavis/V1_Measurements/V1.1-a1/120M/gauss_12.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/120M/gauss_12.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/120M/gauss_120.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/120M/gauss_120.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/120M/gauss_20.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/120M/gauss_20.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/120M/gauss_200.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/120M/gauss_200.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/120M/gauss_40.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/120M/gauss_40.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/120M/noise.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/120M/noise.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/120M/square.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/120M/square.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/20M/bandwidth.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/20M/bandwidth.csv
@ -0,0 +1,202 @@
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--- a/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/gauss_120us.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/gauss_120us.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/gauss_12us.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/gauss_12us.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/gauss_200us.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/gauss_200us.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/gauss_20us.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/gauss_20us.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/gauss_40us.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/gauss_40us.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/noise.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/noise.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/square.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/47M_cap/square.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/82M/bandwidth.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/82M/bandwidth.csv
@ -0,0 +1,152 @@
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--- a/Images/Datavis/V1_Measurements/V1.1-a1/82M/gauss_12.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/82M/gauss_12.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/82M/gauss_120.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/82M/gauss_120.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/82M/gauss_20.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/82M/gauss_20.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/82M/gauss_200.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/82M/gauss_200.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/82M/gauss_40.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/82M/gauss_40.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/82M/noise.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/82M/noise.csv
--- a/Images/Datavis/V1_Measurements/V1.1-a1/82M/square.csv
+++ b/Images/Datavis/V1_Measurements/V1.1-a1/82M/square.csv
--- a/Images/Datavis/V1_Measurements/bandwidth_120M.csv
+++ b/Images/Datavis/V1_Measurements/bandwidth_120M.csv
@ -0,0 +1,152 @@
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+691830.9709189363,-13.70235124973561,-57.92000331525642,3.56683652274662
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+782227.9563860029,-15.79461191867175,-58.7222515783269,9.117332135447839
+831763.7711026708,-18.13175585706541,-60.55777793722299,8.864058862663146
+884436.5191385999,-18.19003876027928,-60.72619066489779,7.506695489990205
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+1000000,-19.42065597666273,-61.96570515856421,5.646295765553811
--- a/Images/Datavis/V1_Measurements/noise_120M.csv
+++ b/Images/Datavis/V1_Measurements/noise_120M.csv
--- a/Images/Datavis/V1_Measurements/noise_20M.csv
+++ b/Images/Datavis/V1_Measurements/noise_20M.csv
--- a/Images/Datavis/V1_Measurements/noise_47M.csv
+++ b/Images/Datavis/V1_Measurements/noise_47M.csv
--- a/Images/Datavis/V1_Measurements/unshielded_47M.csv
+++ b/Images/Datavis/V1_Measurements/unshielded_47M.csv
--- a/Images/Datavis/generate_plot.py
+++ b/Images/Datavis/generate_plot.py
@ -1,4 +1,5 @@

+import os 
 import sys
 import io
 import re
@ -12,7 +13,6 @@ from matplotlib.ticker import EngFormatter

 import colorsys

-import os 
 SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))

 class Re(object):
@ -40,6 +40,73 @@ def setup_step(plot_data, key):
    plot_data[key] = next_step;
    plot_data['steps'].append(next_step);

+def read_simplecsv(filename, plot_config):
+    print(f"Reading CSV file {filename}...");
+
+    series_values = plot_config.get('load_values', ['x', 'y']);
+    series_tags = plot_config.get('load_tags', None);
+
+    plot_data = {
+        'steps': []
+    };
+
+    with io.open(filename, mode='r') as file:
+        column_names = file.readline().rstrip("\n").split(',');
+
+        for line in file:
+            line = line.rstrip("\n").split(',');
+
+            line_data = {};
+            for entry in enumerate(line):
+                column = column_names[entry[0]];
+
+                if(column in series_values):
+                    line_data[column] = float(entry[1]);
+                elif(column in (series_tags or [])):
+                    line_data[column] = entry[1];
+
+            series_name = "default"
+            if(not (series_tags is None)):
+                series_name = ""
+                for tag in series_tags:
+                    series_name = series_name + ' ' + line_data[tag];
+            
+            if(not (series_name in plot_data)):
+                new_series = { "step": series_name };
+                for value_name in series_values:
+                    new_series[value_name] = [];
+
+                plot_data[series_name] = new_series;
+                plot_data['steps'].append(new_series);
+
+            series = plot_data[series_name];
+
+            for value_name in series_values:
+                series[value_name].append(line_data[value_name]);
+
+    return plot_data
+
+def read_multicsv(plot_config):
+    series_collection = {
+        'steps': []
+    }
+
+    print("Reading multiple CSV files...")
+    print(plot_config['load'])
+
+    plot_list = plot_config['load']
+
+    for plot_key in plot_list:
+        single_plot_data = read_simplecsv(os.path.join(YAML_DIR, plot_list[plot_key]), plot_config)
+        single_plot_data = single_plot_data['steps'][0]
+
+        single_plot_data['step'] = plot_key
+
+        series_collection[plot_key] = single_plot_data
+        series_collection['steps'].append(single_plot_data)
+
+    return series_collection
+
 def read_ltspice_file(filename, plot_config):
    print(f"Reading LTSpice .txt file {filename}...");

@ -100,9 +167,14 @@ def decorate_ax(ax, plot_config):
        ax.set_xscale(plot_config['xscale']);

    if('xmin' in plot_config):
-        ax.set_xlim(left=plot_config['xmin']);
+        ax.set_xlim(left=plot_config['xmin'])
    if('xmax' in plot_config):
-        ax.set_xlim(right=plot_config['xmax']);
+        ax.set_xlim(right=plot_config['xmax'])
+
+    if('ymin' in plot_config):
+        ax.set_ylim(bottom=plot_config['ymin']);
+    if('ymax' in plot_config):
+        ax.set_ylim(top=plot_config['ymax']);

    if('xformatter' in plot_config):
        if('engineering' == plot_config['xformatter']):
@ -124,6 +196,24 @@ def decorate_ax(ax, plot_config):

    ax.grid(True);

+def plot_single_graph(fig, plot_config, plot_data):
+    ax = fig.add_subplot();
+    
+    x_key = plot_config['x_key'] or 'x'
+    y_key = plot_config['y_key'] or 'y'
+
+    plot_data = plot_data['steps'][0]
+
+    x_data = plot_data[x_key];
+    y_data = plot_data[y_key];
+
+    ax.plot(x_data, y_data);
+
+    if(not 'xformatter' in plot_config):
+        plot_config['xformatter'] = 'engineering';
+
+    decorate_ax(ax, plot_config)
+
 def plot_lt_sweep(fig, plot_config, plot_data):
    step_keys = plot_data.keys();

@ -139,17 +229,18 @@ def plot_lt_sweep(fig, plot_config, plot_data):
        y_key = plot_config['y_key'];
    
    if(y_key == None):
-        raise RuntimeError("No Y-Data Key (`y_key`) specified for plot!");
+        raise RuntimeError("No Y-Data Key (`y_key`) specified for plot!")

-    num_steps = len(plot_data['steps']);
-    cmap = plt.cm.coolwarm;

-    custom_lines = [matplotlib.lines.Line2D([0], [0], color=cmap(0.), lw=4),
-                matplotlib.lines.Line2D([0], [0], color=cmap(.5), lw=4),
-                matplotlib.lines.Line2D([0], [0], color=cmap(1.), lw=4)];
+    if(plot_config.get('colourmap', 'coolwarm') == 'coolwarm'):
+        num_steps = len(plot_data['steps'])
+        cmap = plt.cm.coolwarm

-    for idx, step in enumerate(plot_data['steps']):
-        ax.plot(step[x_key], step[y_key], color=cmap(idx/(num_steps-1)), label=step['step']);
+        for idx, step in enumerate(plot_data['steps']):
+            ax.plot(step[x_key], step[y_key], color=cmap(idx/(num_steps-1)), label=step['step']);
+    else:
+        for idx, step in enumerate(plot_data['steps']):
+            ax.plot(step[x_key], step[y_key], label=step['step']);

    if(not 'xformatter' in plot_config):
        plot_config['xformatter'] = 'engineering';
@ -163,6 +254,22 @@ def plot_lt_sweep(fig, plot_config, plot_data):

    decorate_ax(ax, plot_config);

+def perform_bandwidth_normalization(plot_data, plot_config):
+    print("Normalizing bandwidth for all steps...")
+
+    for step in plot_data['steps']:
+        y_data = step[plot_config['y_key']]
+        new_y_data = []
+
+        for datapoint in y_data:
+            new_y_data.append(datapoint - y_data[0])
+
+        step[plot_config['y_key']] = new_y_data
+
+def perform_processing_step(data_process_step, plot_data, plot_config):
+    if(data_process_step == 'normalize_bandwidth'):
+        perform_bandwidth_normalization(plot_data, plot_config)
+
 def generate_plot(plot_config):
    global YAML_DIR;

@ -174,14 +281,28 @@ def generate_plot(plot_config):
        if(plot_config['loadtype'] == 'ltspice'):
            plot_data = read_ltspice_file(os.path.join(YAML_DIR, plot_config['load']), plot_config);

+        if(plot_config['loadtype'] == 'simplecsv'):
+            plot_data = read_simplecsv(os.path.join(YAML_DIR, plot_config['load']), plot_config);
+
+        if(plot_config['loadtype'] == 'multicsv'):
+            plot_data = read_multicsv(plot_config)
+
+    for data_process_step in plot_config.get('data_processing_steps', []):
+        perform_processing_step(data_process_step, plot_data, plot_config)
+
    fig = plt.figure();

    if(plot_config['type'] == 'lt_sweep'):
        plot_lt_sweep(fig, plot_config, plot_data);

+    if(plot_config['type'] == 'single'):
+        plot_single_graph(fig, plot_config, plot_data);
+
    fig.subplots_adjust(0.15, 0.12, 0.96, 0.9)

    fig.savefig(os.path.join(YAML_DIR, plot_config['ofile']), dpi=plot_config.get('dpi', 300));
+
+    matplotlib.pyplot.close()
    


--- a/Images/Datavis/plots.yml
+++ b/Images/Datavis/plots.yml
@ -7,6 +7,233 @@ defaults:
    Cin: $C_{in}$

 plots:
+  - loadtype: multicsv
+    load:
+      20M: V1_Measurements/V1.1-a1/20M/noise.csv
+      47M: V1_Measurements/V1.1-a1/47M_cap/noise.csv
+      82M: V1_Measurements/V1.1-a1/82M/noise.csv
+      120M: V1_Measurements/V1.1-a1/120M/noise.csv
+
+    ylabel: Rauschlevel ($V/\sqrt{Hz}$)
+
+    load_values: ["Frequency (Hz)","Trace 1 (VHz)"]
+
+    type: lt_sweep
+    colourmap: default
+    x_key: Frequency (Hz)
+    y_key: "Trace 1 (VHz)"
+    
+    xmin: 500
+    # xmax: 1000000
+    ymin: 0
+    ymax: 0.0001
+
+    yformatter: engineering
+    yplaces: 2
+
+    ofile: V1_Measurements/V1.1-a1/noises.png
+  - loadtype: multicsv
+    load:
+      20M: V1_Measurements/V1.1-a1/20M/bandwidth.csv
+      47M: V1_Measurements/V1.1-a1/47M_cap/bandwidth.csv
+      82M: V1_Measurements/V1.1-a1/82M/bandwidth.csv
+      120M: V1_Measurements/V1.1-a1/120M/bandwidth.csv
+
+    
+    data_processing_steps:
+      - normalize_bandwidth
+
+    ylabel: Normalisierte Verstärkung (dB)
+
+    load_values: ["Frequency (Hz)","Channel 1 Magnitude (dB)"]
+
+    type: lt_sweep
+    colourmap: default
+    x_key: Frequency (Hz)
+    y_key: "Channel 1 Magnitude (dB)"
+    
+    xmin: 100
+    xmax: 1000000
+    ymin: -25
+
+    ofile: V1_Measurements/V1.1-a1/bandwidths.png
+
+  - loadtype: multicsv
+    load:
+      "20M": V1_Measurements/noise_20M.csv
+      "47M": V1_Measurements/noise_47M.csv
+      "120M": V1_Measurements/noise_120M.csv
+  
+    ylabel: Rauschlevel ($V/\sqrt{Hz}$)
+
+    load_values: ["Frequency (Hz)","Trace 1 (VHz)"]
+
+    type: lt_sweep
+    colourmap: default
+    x_key: Frequency (Hz)
+    y_key: "Trace 1 (VHz)"
+    
+    xmin: 500
+    # xmax: 1000000
+    ymin: 0
+    ymax: 0.00004
+
+    yformatter: engineering
+    yplaces: 2
+
+    ofile: V1_Measurements/noises.png
+
+  - loadtype: multicsv
+    load:
+      "20M": V1_Measurements/noise_20M.csv
+      "47M": V1_Measurements/noise_47M.csv
+      "120M": V1_Measurements/noise_120M.csv
+  
+    ylabel: Rauschlevel ($V/\sqrt{Hz}$)
+
+    load_values: ["Frequency (Hz)","Trace 2 (VHz)"]
+
+    type: lt_sweep
+    colourmap: default
+    x_key: Frequency (Hz)
+    y_key: "Trace 2 (VHz)"
+    
+    xmin: 500
+    # xmax: 1000000
+    ymin: 0
+    ymax: 0.00004
+
+    yformatter: engineering
+    yplaces: 2
+
+    ofile: V1_Measurements/noises_ch2.png
+
+  - loadtype: multicsv
+    load:
+      "x0.6": V1_Measurements/compensation_47M_under.csv
+      "x1": V1_Measurements/compensation_47M_OK.csv
+      "x1.4": V1_Measurements/compensation_47M_over.csv
+    
+    data_processing_steps:
+      - normalize_bandwidth
+
+    ylabel: Normalisierte Verstärkung (dB)
+
+    load_values: ["Frequency (Hz)","Channel 1 Magnitude (dB)"]
+
+    type: lt_sweep
+    colourmap: default
+    x_key: Frequency (Hz)
+    y_key: "Channel 1 Magnitude (dB)"
+
+    ofile: V1_Measurements/compensation.png
+
+  - loadtype: multicsv
+    load:
+      20M: V1_Measurements/bandwidth_20M.csv
+      47M: V1_Measurements/bandwidth_47M.csv
+      120M: V1_Measurements/bandwidth_120M.csv
+    
+    data_processing_steps:
+      - normalize_bandwidth
+
+    ylabel: Normalisierte Verstärkung (dB)
+
+    load_values: ["Frequency (Hz)","Channel 1 Magnitude (dB)"]
+
+    type: lt_sweep
+    colourmap: default
+    x_key: Frequency (Hz)
+    y_key: "Channel 1 Magnitude (dB)"
+    
+    xmin: 100
+    xmax: 500000
+    ymin: -25
+
+    ofile: V1_Measurements/bandwidth.png
+
+  - loadtype: multicsv
+    load:
+      20M: V1_Measurements/bandwidth_20M.csv
+      47M: V1_Measurements/bandwidth_47M.csv
+      120M: V1_Measurements/bandwidth_120M.csv
+    
+    data_processing_steps:
+      - normalize_bandwidth
+
+    ylabel: Normalisierte Verstärkung (dB)
+
+    load_values: ["Frequency (Hz)","Channel 2 Magnitude (dB)"]
+
+    type: lt_sweep
+    colourmap: default
+    x_key: Frequency (Hz)
+    y_key: "Channel 2 Magnitude (dB)"
+    
+    xmin: 100
+    xmax: 500000
+    ymin: -25
+
+    ofile: V1_Measurements/bandwidth_ch2.png
+  - loadtype: multicsv
+    load:
+      Ungefiltert: V1_Measurements/bandwidth_47M.csv
+      Gefiltert: V1_Measurements/bandwidth_47M_filter.csv
+    
+    data_processing_steps:
+      - normalize_bandwidth
+
+    ylabel: Normalisierte Verstärkung (dB)
+
+    load_values: ["Frequency (Hz)","Channel 1 Magnitude (dB)"]
+
+    type: lt_sweep
+    colourmap: default
+    x_key: Frequency (Hz)
+    y_key: "Channel 1 Magnitude (dB)"
+    
+    xmin: 100
+    xmax: 500000
+    ymin: -25
+
+    ofile: V1_Measurements/bandwidth_filter_compare.png
+
+  - load: V1_Measurements/unshielded_47M.csv
+    loadtype: simplecsv
+
+    load_values: ["Time (s)", "Channel 1 (V)"]
+
+    type: single
+
+    x_key: Time (s)
+    y_key: Channel 1 (V)
+
+    xlabel: Zeit (s)
+    xformatter: engineering
+    xplaces: 0
+    xmin: -0.001
+    xmax: 0.001
+
+
+    ylabel: Ausgangsspannung (V)
+
+    ofile: V1_Measurements/unshielded_47M.png
+
+  - load: V1_Measurements/1G_47M_Linearity.csv
+    loadtype: simplecsv
+
+    load_values: ["Setpoint", "Measurement"]
+
+    type: single
+
+    y_key: Measurement
+    x_key: Setpoint
+
+    xlabel: Eingangsstrom (nA)
+    ylabel: Ausgangsspannung (V)
+
+    ofile: V1_Measurements/1G_47M_Linearity.png
+
  - load: Parasitics/Rf_series_noshield.txt
    loadtype: ltspice
    step_parameter: $C_{f,g}$