Initial

notebooks/plot_bell_violation.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "imports",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\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": "plot",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10, 6))\n",
+    "\n",
+    "# Histogram of Bell parameter values\n",
+    "ax.hist(data['Bell Parameter (S)'], bins=20, color='steelblue', alpha=0.7, edgecolor='black')\n",
+    "\n",
+    "# Add classical limit line\n",
+    "ax.axvline(x=2.0, color='red', linestyle='--', linewidth=2, label='Classical limit (S=2)')\n",
+    "\n",
+    "# Add Tsirelson bound\n",
+    "ax.axvline(x=2*np.sqrt(2), color='green', linestyle='--', linewidth=2, label=f'Tsirelson bound (S={2*np.sqrt(2):.2f})')\n",
+    "\n",
+    "ax.set_xlabel('Bell Parameter (S)', fontsize=12)\n",
+    "ax.set_ylabel('Number of Experiments', fontsize=12)\n",
+    "ax.set_title('Distribution of Bell Parameter Values Across All Laboratories', fontsize=14)\n",
+    "ax.legend()\n",
+    "ax.grid(True, alpha=0.3)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.savefig(here() / 'output/plots/bell_violation.png', dpi=300, bbox_inches='tight')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}