73 lines
2.1 KiB
Plaintext
73 lines
2.1 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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"import matplotlib.pyplot as plt\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, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 5))\n",
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"\n",
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"# Separate room temp and cryogenic\n",
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"room_temp = data[data['Temperature (K)'] > 200]\n",
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"cryo = data[data['Temperature (K)'] <= 200]\n",
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"\n",
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"# Box plot comparison\n",
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"box_data = [room_temp['Entanglement Fidelity'], cryo['Entanglement Fidelity']]\n",
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"bp = ax1.boxplot(box_data, labels=['Room Temp', 'Cryogenic'],\n",
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" patch_artist=True, notch=True)\n",
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"bp['boxes'][0].set_facecolor('coral')\n",
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"bp['boxes'][1].set_facecolor('steelblue')\n",
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"ax1.set_ylabel('Entanglement Fidelity', fontsize=12)\n",
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"ax1.set_title('Fidelity: Room Temperature vs Cryogenic', fontsize=13)\n",
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"ax1.grid(True, alpha=0.3, axis='y')\n",
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"\n",
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"# Dark counts comparison\n",
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"box_data2 = [room_temp['Dark Count Rate A (Hz)'], cryo['Dark Count Rate A (Hz)']]\n",
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"bp2 = ax2.boxplot(box_data2, labels=['Room Temp', 'Cryogenic'],\n",
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" patch_artist=True, notch=True)\n",
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"bp2['boxes'][0].set_facecolor('coral')\n",
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"bp2['boxes'][1].set_facecolor('steelblue')\n",
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"ax2.set_ylabel('Dark Count Rate (Hz)', fontsize=12)\n",
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"ax2.set_title('Dark Counts: Room Temperature vs Cryogenic', fontsize=13)\n",
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"ax2.grid(True, alpha=0.3, axis='y')\n",
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"\n",
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"plt.tight_layout()\n",
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"plt.savefig(here() / 'output/plots/temperature_effects.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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