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notebooks/tab_laboratories.ipynb

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