84 lines
18 KiB
Plaintext
84 lines
18 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "22af19e1",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"-0.5099999999999999\n"
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]
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},
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{
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"data": {
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import matplotlib.pyplot as plt\n",
|
|
"import numpy as np\n",
|
|
"\n",
|
|
"#I = 0.81 A\n",
|
|
"I_Zn = [0.2, 0.4, 0.6, 0.8, 1]\n",
|
|
"U_Zn = [-0.09, -0.18, -0.30, -0.42, -0.48]\n",
|
|
"\n",
|
|
"k, b = np.polyfit(I_Zn, U_Zn, deg = 1)\n",
|
|
"\n",
|
|
"U = []\n",
|
|
"for i in range(5):\n",
|
|
" U.append(k * I_Zn[i] + b) \n",
|
|
"\n",
|
|
"#U_Zn_34 = 204 muV l = 10 mm L34 = 4 mm a = 0.08 mm\n",
|
|
"\n",
|
|
"plt.scatter(I_Zn, U_Zn)\n",
|
|
"plt.grid()\n",
|
|
"plt.plot(I_Zn, U)\n",
|
|
"plt.xlabel('B, Тл')\n",
|
|
"plt.ylabel('U, мкВ')\n",
|
|
"print(k)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "2ae67d3e",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.9.12"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|