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6da5288d90
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3
measurement-data/.gitignore
vendored
3
measurement-data/.gitignore
vendored
@ -1 +1,4 @@
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.ipynb_checkpoints/*
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.ipynb_checkpoints/*
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*.pdf
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Analog_Measurement_Analysis_files
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*.tex
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@ -75,22 +75,6 @@
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" return temp"
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" return temp"
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]
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]
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},
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Description of ADC Value"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(constant_sampling['adc_results.pa2_raw'].describe())"
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]
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},
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{
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{
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"cell_type": "markdown",
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {},
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@ -124,7 +108,7 @@
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"cell_type": "markdown",
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {},
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"source": [
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"source": [
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"# Histograms -- Starting from Index 100 (Uncalibrated)"
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"# Histograms (Uncalibrated)"
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]
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]
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},
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},
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{
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{
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@ -155,7 +139,8 @@
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" #Plot textbox\n",
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" #Plot textbox\n",
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" textstr = '\\n'.join((\n",
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" textstr = '\\n'.join((\n",
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" r'$\\mu=%.2f$' % (mu, ),\n",
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" r'$\\mu=%.2f$' % (mu, ),\n",
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" r'$\\sigma=%.2f$' % (sigma, )))\n",
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" r'$\\sigma=%.2f$' % (sigma, ),\n",
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" r'$N_{Sa} =%d$' % (len(data_df[sig[0]][start_idx:], ))))\n",
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" props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)\n",
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" props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)\n",
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" ax.text(0.05, 0.95, textstr, transform=ax.transAxes, fontsize=14,\n",
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" ax.text(0.05, 0.95, textstr, transform=ax.transAxes, fontsize=14,\n",
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" verticalalignment='top', bbox=props)\n",
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" verticalalignment='top', bbox=props)\n",
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7
measurement-data/hidecode.tplx
Normal file
7
measurement-data/hidecode.tplx
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((*- extends 'article.tplx' -*))
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((* block input_group *))
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((*- if cell.metadata.get('nbconvert', {}).get('show_code', False) -*))
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((( super() )))
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((*- endif -*))
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((* endblock input_group *))
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