88 lines
2.3 KiB
Plaintext
88 lines
2.3 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "imports",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"from pyprojroot import here"
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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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"id": "load",
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"metadata": {},
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"outputs": [],
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"source": [
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"data = pd.read_csv(here() / 'data/base/data.csv')"
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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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"id": "create-table",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Group by detector type and calculate statistics\n",
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"detector_stats = data.groupby('Detector Type').agg({\n",
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" 'Study ID': 'count',\n",
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" 'Bell Parameter (S)': ['mean', 'std'],\n",
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" 'Entanglement Fidelity': ['mean', 'std'],\n",
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" 'Detection Efficiency A (%)': 'mean'\n",
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"}).round(3)\n",
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"\n",
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"detector_stats.columns = ['N', 'Bell S (mean)', 'Bell S (std)', \n",
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" 'Fidelity (mean)', 'Fidelity (std)', 'Efficiency (%)']"
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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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"id": "save-latex",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Convert to LaTeX\n",
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"latex_table = r'''\\begin{table}[h]\n",
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"\\centering\n",
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"\\caption{Performance Metrics by Detector Type}\n",
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"\\label{tab:laboratories}\n",
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"\\begin{tabular}{lcccccc}\n",
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"\\toprule\n",
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"\\textbf{Detector} & \\textbf{N} & \\textbf{Bell S} & \\textbf{$\\sigma$} & \\textbf{Fidelity} & \\textbf{$\\sigma$} & \\textbf{Eff (\\%)} \\\\\n",
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"\\midrule\n",
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"'''\n",
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"\n",
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"for idx, row in detector_stats.iterrows():\n",
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" latex_table += f\"{idx} & {int(row['N'])} & {row['Bell S (mean)']:.3f} & {row['Bell S (std)']:.3f} & \"\n",
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" latex_table += f\"{row['Fidelity (mean)']:.4f} & {row['Fidelity (std)']:.4f} & {row['Efficiency (%)']:.1f} \\\\\\\\\\n\"\n",
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"\n",
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"latex_table += r'''\\bottomrule\n",
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"\\end{tabular}\n",
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"\\end{table}\n",
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"'''\n",
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"\n",
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"# Save to file\n",
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"with open(here() / 'output/tables/laboratories.tex', 'w') as f:\n",
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" f.write(latex_table)\n",
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"\n",
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"print(\"Laboratories table saved\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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