65 lines
1.7 KiB
Plaintext
65 lines
1.7 KiB
Plaintext
{
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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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"import matplotlib.pyplot as plt\n",
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"import numpy as np\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": "plot",
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"metadata": {},
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"outputs": [],
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"source": [
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"fig, ax = plt.subplots(figsize=(10, 6))\n",
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"\n",
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"# Histogram of Bell parameter values\n",
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"ax.hist(data['Bell Parameter (S)'], bins=20, color='steelblue', alpha=0.7, edgecolor='black')\n",
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"\n",
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"# Add classical limit line\n",
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"ax.axvline(x=2.0, color='red', linestyle='--', linewidth=2, label='Classical limit (S=2)')\n",
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"\n",
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"# Add Tsirelson bound\n",
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"ax.axvline(x=2*np.sqrt(2), color='green', linestyle='--', linewidth=2, label=f'Tsirelson bound (S={2*np.sqrt(2):.2f})')\n",
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"\n",
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"ax.set_xlabel('Bell Parameter (S)', fontsize=12)\n",
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"ax.set_ylabel('Number of Experiments', fontsize=12)\n",
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"ax.set_title('Distribution of Bell Parameter Values Across All Laboratories', fontsize=14)\n",
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"ax.legend()\n",
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"ax.grid(True, alpha=0.3)\n",
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"\n",
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"plt.tight_layout()\n",
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"plt.savefig(here() / 'output/plots/bell_violation.png', dpi=300, bbox_inches='tight')"
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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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