data: add fancy new measurements for 2.4M TIA

Images/Datavis/generate_plot.py

@@ -194,9 +194,6 @@ def decorate_ax(ax, plot_config):
             row.mode= "expand"
             row.align="right"
 
-    if('legend_title' in plot_config):
-        legend.set_title(plot_config['legend_title']);
-
     ax.grid(True);
 
 def plot_single_graph(fig, plot_config, plot_data):
@@ -210,7 +207,7 @@ def plot_single_graph(fig, plot_config, plot_data):
     x_data = plot_data[x_key];
     y_data = plot_data[y_key];
 
-    ax.plot(x_data, y_data, linewidth=plot_config.get('linewidth'));
+    ax.plot(x_data, y_data);
 
     if(not 'xformatter' in plot_config):
         plot_config['xformatter'] = 'engineering';
@@ -234,19 +231,16 @@ def plot_lt_sweep(fig, plot_config, plot_data):
     if(y_key == None):
         raise RuntimeError("No Y-Data Key (`y_key`) specified for plot!")
 
-    num_steps = len(plot_data['steps'])
-    
-    for idx, step in enumerate(plot_data['steps']):
-        plot_params = dict()
-        plot_params['label'] = step['step']
 
     if(plot_config.get('colourmap', 'coolwarm') == 'coolwarm'):
+        num_steps = len(plot_data['steps'])
         cmap = plt.cm.coolwarm
-            plot_params['color'] = cmap(idx/(num_steps-1))
 
-        plot_params['linewidth'] = plot_config.get('linewidth');
+        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']);
-        ax.plot(step[x_key], step[y_key], **plot_params)
+    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';
@@ -272,45 +266,9 @@ def perform_bandwidth_normalization(plot_data, plot_config):
 
         step[plot_config['y_key']] = new_y_data
 
-def perform_peak_normalization(plot_data, plot_config):
-    print("Normalizing peak height to 1")
-
-    for step in plot_data['steps']:
-        y_data = step[plot_config['y_key']]
-        new_y_data = []
-
-        y_max = max(y_data)
-        y_min = min(y_data)
-
-        scaling_factor = 0.1 + 0.9*(y_max if (y_max > (-y_min)) else y_min)
-
-        for datapoint in y_data:
-            new_y_data.append(datapoint / scaling_factor)
-
-        step[plot_config['y_key']] = new_y_data
-
-def perform_offset_removal(plot_data, plot_config):
-    print("Removing offset")
-
-    for step in plot_data['steps']:
-        y_data = step[plot_config['y_key']]
-        new_y_data = []
-
-        offset_value = np.percentile(y_data, 30) * 0.8
-
-        for datapoint in y_data:
-            new_y_data.append(datapoint - offset_value)
-
-        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)
-    if(data_process_step == 'remove_offset'):
-        perform_offset_removal(plot_data, plot_config)
-    if(data_process_step == 'normalize_peak'):
-        perform_peak_normalization(plot_data, plot_config)
 
 def generate_plot(plot_config):
     global YAML_DIR;

Images/Datavis/plots.yml

@@ -7,56 +7,6 @@ defaults:
     Cin: $C_{in}$
 
 plots:
-  - loadtype: multicsv
-    load:
-      Gemitiv:  IMS Measurements/Spectrum_7.csv
-      HighTIME: IMS Measurements/Spectrum_23.csv
-
-    load_values: ["time", "voltage"]
-
-    type: lt_sweep
-
-    data_processing_steps:
-      - normalize_peak
-      - remove_offset
-      - normalize_peak
-
-    y_key: voltage
-    x_key: time
-
-    xscale: linear
-
-    xlabel: Zeit (s)
-    ylabel: Normalisierter Messwert (a.u.)
-
-    linewidth: 1
-
-    ofile: IMS Measurements/averaged_compare.png
-  - loadtype: multicsv
-    load:
-      Gemitiv:  IMS Measurements/Spectrum_59.csv
-      HighTIME: IMS Measurements/Spectrum_37.csv
-
-    load_values: ["time", "voltage"]
-
-    type: lt_sweep
-
-    data_processing_steps:
-      - normalize_peak
-      - remove_offset
-      - normalize_peak
-
-    y_key: voltage
-    x_key: time
-
-    xscale: linear
-
-    xlabel: Zeit (s)
-    ylabel: Normalisierter Messwert (a.u.)
-
-    linewidth: 0.8
-
-    ofile: IMS Measurements/raw_compare.png
   - load: Parasitics/SingleStage_noise_example.txt
     loadtype: ltspice
     type: single
@@ -79,6 +29,7 @@ plots:
     xscale: log
 
     ofile: Parasitics/SingleStage_noise_example.png
+
   - load: 
       47M N.1: V1_Measurements/V1.1-a1/47M_cap/linearity_1.csv
       47M N.2: V1_Measurements/V1.1-a1/47M_cap/linearity_2.csv
@@ -740,7 +691,6 @@ plots:
     y_key: V(n002) dB
 
     title: Verstärkung bei variiertem GBWP
-    legend_title: GBWP
     ylabel: Normalisierte Verstärkung (dB)
 
   - load: DesignEstimate/CompositeStage_ADA4817_StageAmpSweep_bandwidth.txt

TeX/Arbeit.tex

@@ -32,7 +32,7 @@
 %\documentclass[12pt, a4paper, openany, DIV=16, BCOR=20mm, bibliography=totoc, captions=tableheading, numbers=noenddot]{scrbook}
 
 %Book - Digitalversion (doppelseitig)
-\documentclass[12pt, a4paper, openany,                     bibliography=totoc, captions=tableheading, numbers=noenddot]{scrreport}
+\documentclass[12pt, a4paper, openany,                     bibliography=totoc,,captions=tableheading, numbers=noenddot]{scrbook}
 
 
 

TeX/Kapitel/Grundlagen.tex

@@ -348,7 +348,7 @@ Somit wird die Verstärkung der Schaltung in $\Omega$ angegeben. Die grundlegend
     \centering
     \includegraphics[scale=0.2]{grundlagen/OpAmp_TIA.drawio.png}
     \caption[Grundlegender Schaltkreis eines Transimpedanzverstärkers,
-    eigene Darstellung]{
+    eigene Darstellung nach \cite{Reinecke2018Oct} und \cite[S.S. 233]{Horowitz:1981307}]{
         \label{fig:example_tia_circuit}Grundlegender Schaltkreis eines Transimpedanzverstärkers,
         eigene Darstellung nach \cite{Reinecke2018Oct} und \cite[S.S. 233]{Horowitz:1981307}.}
 \end{figure}