135 lines
32 KiB
Plaintext
135 lines
32 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": 16,
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"id": "75466c80",
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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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"0.14999999999999997\n",
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"0.45\n",
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"0.6749999999999997\n",
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"0.8999999999999998\n",
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"1.2149999999999996\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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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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}
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],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"\n",
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"\n",
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"\n",
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"#U_0 = 0.15 muV\n",
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"\n",
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"I_Cu = [0] * 5\n",
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"U_Cu = [0] * 5\n",
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"\n",
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"#0.2 A\n",
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"I_Cu[0] = [0, 0.2, 0.4, 0.6, 0.8, 1]\n",
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"U_Cu[0] = [0, 0.03, 0.06, 0.09, 0.12, 0.15]\n",
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"\n",
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"#0.4 A\n",
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"I_Cu[1] = [0.2, 0.4, 0.6, 0.8, 1]\n",
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"U_Cu[1] = [0.09, 0.18, 0.27, 0.36, 0.45]\n",
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"\n",
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"#0.6 A\n",
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"I_Cu[2] = [0.2, 0.4, 0.6, 0.8, 1]\n",
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"U_Cu[2] = [0.15, 0.27, 0.39, 0.54, 0.69]\n",
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"\n",
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"#0.8 A\n",
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"I_Cu[3] = [0.2, 0.4, 0.6, 0.8, 1]\n",
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"U_Cu[3] = [0.18, 0.30, 0.57, 0.78, 0.84]\n",
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"\n",
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"#1.0 A\n",
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"I_Cu[4] = [0.2, 0.4, 0.6, 0.8, 1]\n",
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"U_Cu[4] = [0.24, 0.54, 0.78, 0.99, 1.23]\n",
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"\n",
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"I_Cu_back = [0.2, 0.4, 0.6, 0.8, 1]\n",
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"U_Cu_back = [0.24, 0.51, 0.78, 1.02, 1.17]\n",
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"\n",
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"#U_Cu_34 = 495 muV l = 9 mm L34 = 10 mm a = 0.05 mm\n",
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"\n",
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"k = [0] * 5\n",
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"b = [0] * 5\n",
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"\n",
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"I = np.linspace(0, 1)\n",
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"U = [0] * 5\n",
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"k[0], b[0] = np.polyfit(I_Cu[0], U_Cu[0], deg = 1)\n",
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"k[1], b[1] = np.polyfit(I_Cu[1], U_Cu[1], deg = 1)\n",
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"k[2], b[2] = np.polyfit(I_Cu[2], U_Cu[2], deg = 1)\n",
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"k[3], b[3] = np.polyfit(I_Cu[3], U_Cu[3], deg = 1)\n",
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"k[4], b[4] = np.polyfit(I_Cu[4], U_Cu[4], deg = 1)\n",
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"U[0] = k[0] * I + b[0]\n",
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"U[1] = k[1] * I + b[1]\n",
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"U[2] = k[2] * I + b[2]\n",
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"U[3] = k[3] * I + b[3]\n",
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"U[4] = k[4] * I + b[4]\n",
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"\n",
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"plt.grid()\n",
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"plt.plot(I, U[0])\n",
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"plt.plot(I, U[1])\n",
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"plt.plot(I, U[2])\n",
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"plt.plot(I, U[3])\n",
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"plt.plot(I, U[4])\n",
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"plt.scatter(I_Cu[0], U_Cu[0])\n",
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"plt.scatter(I_Cu[1], U_Cu[1])\n",
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"plt.scatter(I_Cu[2], U_Cu[2])\n",
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"plt.scatter(I_Cu[3], U_Cu[3])\n",
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"plt.scatter(I_Cu[4], U_Cu[4])\n",
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"\n",
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"plt.xlabel('B, Тл')\n",
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"plt.ylabel('U, мкВ')\n",
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"\n",
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"for i in range(5):\n",
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" print(k[i])"
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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": "a98a4e12",
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"metadata": {},
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"outputs": [],
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"source": []
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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 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.12"
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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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