Lugovtsov/6.11.5-tunnel-diode/plots.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "65a1d145-551e-436d-977f-0b9e15aa66a3",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# %load /home/glebi/git/experiment-automation/processing_tools.py\n",
    "import numpy as np\n",
    "from scipy.optimize import curve_fit\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "import scienceplots\n",
    "\n",
    "plt.style.use(['science', 'russian-font'])\n",
    "\n",
    "matplotlib.rcParams.update({\n",
    "    'figure.figsize': [6, 4],\n",
    "    'savefig.facecolor': 'white',\n",
    "    'figure.dpi': 150.0,\n",
    "    'font.size': 12.0,\n",
    "})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "027f3055-bd02-4cf0-9f6a-8ca35e6b36c8",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"data.csv\")\n",
    "cols = df.columns\n",
    "\n",
    "U = df[cols[0]] # +- 0.01 mV\n",
    "I = df[cols[1]] # +- 0.001 mA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "1a1b6e09-f30a-4e32-b1c3-1097d9d0295c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f526dba2d70>]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtsAAAH9CAYAAADLbbAeAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAABcSAAAXEgFnn9JSAAA/aklEQVR4nO3db2wb+Z3n+Y+qVJXEJcyybceDBEvcmUb2fECwDZAdBH3zJw8srWeuj4c8kKaB7d191hbOOGAR4Fp0T9CTztQF07IOGAxw0K3cDxb3x4fplnEYrOBLdJIfzOwguaCbBLQzwAnTMB0cgc2cI9vEncvJqlzFe6AUm6JIFimRxX/vF0AkJin/frR+LX7407e+v5larVYTAAAAgL4zhj0BAAAAYFIRtgEAAIABIWwDAAAAA0LYBgAAAAaEsA0AAAAMCGEbAAAAGBDCNgAAADAgs71+QaFQUKlUUiqVkiQtLy9rfn6+3/MCAAAAxl7XYbtcLmthYUGFQkGrq6v1+5eWlpTJZJTJZDp+fRiG+tWvfqXZ2VnNzMycfsYAAADAiKjVanr58qW++MUvyjBaFI3UuvDs2bNaKpWqbWxsHLt/c3OzJqm2uroa+3d4nleTxI0bN27cuHHjxo3bxN08z2uZgbva2f6TP/kTnT9/Xjdu3Dh2fyqVUiqVUjabjf07ZmePhvI8T5Zlyfd9OY5T//MgJTnWpI/HaxvP8XhtjDdqYyU9Hq9tPMeb5NeW9Hi8tsGNF/05yrrNYsN2tVrV7du3tbKycuKx+fl5PXv2rKuJRaUjlmUd+4do/vMgJTnWpI/HaxvP8XhtjDdqYyU9Hq9tPMeb5NeW9Hi8tsGN165MOrYbyZ07dyRJCwsLfZrarwc2DH3ve99rXdsy5pJ+bUmON8mvLWl838ZvrGGY5H/LSX5tSeL7Nr7jJWmS/y1H/bXN1Gq1WqcnLCwsaHd3Vw8fPlSpVNInn3yiCxcu6OHDh1pYWNDi4mJXA/m+L9u2dXh4mOinjmGPjfHBOkE3WCfoBusE3WCdTIa472NsGcmnn34qSdrd3VUmkznWieTKlSva2dnRxsZGTxNqZhiGTNPs+u8AAAAAkhYEgcIwPHZfq2zbKHb/u1qtSpIePnx4op/2xsaG7ty5o93d3a4n6TiObNs+dnNdt+uvP41J/rUQ+od1gm6wTtAN1gm6wToZP67rnsixjuN0/JrYMpKo2HtnZ6fl4TUzMzPKZrMqFosdB4q22FtdKcrONgAAAEZdu51tx3FOX0aSSqVUrVbbHlqTSqVUKpW6nmTSV4oCAAAA/WCaZs8bxLG/t4g7GTISlZsAAAAAOBIbtqPSkbgwnUql+jEfAAAAYGLEhu0333xTklQul1s+Xq1WuzpBEgAAAJg2sWE7m80qm83qo48+OvHYvXv3JEkffvhh/2cGAAAAjLmues1sbm5qd3e3Hq6lox3tQqGg1dVVdrYBAACAFmJb/0XK5bIKhcKx+5aXl1u2A2yFU5IAAABwVuvb+8rn0kpf7NzfunLgaatY0c3rVwc6n7iM23XYHvREAAAAgE7Wt/dVuFvS5Utzun/rWtvAXTnw9MYHD/To8XOtvpUdaOCOy7gcWQQAAICxkM+ldfnSnB49fq43PnigyoF34jmNQfvypTnlc+khzPRzhG0AAACMhfRFR/dvXWsbuJuDdqfd76QQtgEAADA22gXuUQza0hBqtj3Pk2VZMgyj5+MuAQAAAOn4LrZlHu0f+0GYWNAOgkBhGMr3fTmOMzo1247jyLZtua6b9NAAAACYENEOt2Ua8oNQfhDKMo3EdrRd15Vt23KczmOxsw0AAICxVDnw9Oo7W/KDUJJkmYb21vKJhO2R3dm2LEuWZRG0AQAAcGpRGUm0ox3tcLfrUtJvpmnWc20nXCAJAACAsdJ8MeTeWl57a/nYtoDDQNgGAADA2GjXdSSuLeCwELYBAAAwFuLa+41i4CZsAwAAYCxsFSuxfbSbA/dWsTKEmX4u8W4k7a7UBAAAAOKsb+8rn0vHdhypHHjaKlZ08/rVgc4nLuMStgEAAIBTisu4lJEAAAAAA0LYBgAAAAaEsA0AAAAMCGEbAAAAGBDCNgAAADAgs0kP6Pu+JMkwDJmmmfTwAAAAwJkFQaAwDOvZtp3Ed7Ydx5Ft23JdN+mhAQAAgL5wXVe2bctxOvf7TrzPtud5siyLnW0AAACMrcadbcdx2vbZTryMxLIsDrUBAADAWDNNs6uNYy6QBAAAAAaEsA0AAAAMCGEbAAAAGBDCNgAAADAghG0AAABgQAjbAAAAwIAQtgEAADCy1rf3VTnwYp9XOfC0vr2fwIx6Q9gGAADASFrf3lfhbklvfPCgY+CuHHh644MHKtwtjVzgJmwDAABgJOVzaV2+NKdHj5+3DdxR0H70+LkuX5pTPpcewkzbI2wDAABgJKUvOrp/61rbwN0ctO/fuqb0RWeIMz5pplar1ZIYyPd92bYtz/NkWZYMw+jqiEsAAABMt1ahWtJQg3YQBArDUL7vy3EcHR4eyrKsE89LfGfbcRzZti3XdZMeGgAAAGOoeYf71Xe29Oo7W0Pd0XZdV7Zty3E6j8vONgAAAMZC5cDTq+9syQ9CSZJlGtpbyw+ldKTbne3ZpCdmWVbLiQAAAADjwjTNrjaOuUASAAAAIy+q2/aDUJZpyDIN+UEY2xZw2AjbAAAAGGnNF0jureW1t5aPbQs4CgjbAAAAGFnt2vvFtQUcFYRtAAAAjKS4PtrjELgJ2wAAABhJW8VKbHu/5sC9VawMYabtJd76r11bFAAAAKDZ+va+8rl0bHu/yoGnrWJFN69fTWhmR+IyLmEbAAAAOKW4jEsZCQAAADAghG0AAABgQAjbAAAAwIAQtgEAAIABmU16QN/3JUmGYXR1njwAAAAwaoIgUBiG9WzbTuI7247jyLZtua6b9NAAAABAX7iuK9u25TidWxIm3vrP8zxZlsXONgAAAMZW48624zhtW/8lXkZiWRZ9tgEAADDWTNPsauOYCyQBAACAASFsAwAAAANC2AYAAAAGpKuwffv2bS0tLenevXsql8uSpHK5rEKhoIWFhYFOEAAAABhXXV8gee/ePd27d+/YfZlMRsVise+TAgAAACZB12F7cXFR5XJZ1WpV2WxWCwsLunHjxiDnBgAAAIy1rsP26uqqMpnMIOcCAAAATBQukAQAAAAGhLANAAAADEjXZSTValW3b9/WkydP6n9eWFjQ4uLiwCYHAAAAjLOuw3ahUNDm5qZSqVT9vitXrqhcLmtlZaXrAX3fP3GfYRhdHXcJAAAADEsQBArD8Nh9rbJto67KSBYXF7Wzs3MsaEtHAbxQKKhUKnU9ScdxZNv2sZvrul1/PQAAADAMruueyLGO43T8mplarVY77YDlcllXrlzR4uKiNjc3Oz7X933Zti3P82RZ1rHH2NkGAADAqGu3s+04jg4PD09kXKmHMpJWzp8/L0k97WxbltVyIgAAAMAoM02z5w3i2DKS27dv65VXXqkf097K06dPexoUAAAAmAaxYXtnZ0fValXVavXEY1HIfu211/o+MQAAAGDcxYbtbDarYrGobDZ74rHd3V1J0sLCQv9nBgAAAIy52LC9vLysjz76qOVjm5ubymQyPbX+AwAAAKZFbNjOZDK6cOGCbt++fez+QqGgTz/9NLYLCQAAADCtum79t7u7q83NTT19+lTValWZTEarq6snem+3E7X+a9cWBf2xvr2vfC6t9MXOPR8rB562ihXdvH41oZkBAABMnriMe6Y+2/2cCM5ufXtfhbslXb40p/u3rrUN3JUDT2988ECPHj/X6ltZAjcAAMApxWXcrk6QxOhb395XLnNBly/N6dHj53rjgweqHHgnnvfTz36h3/6jH+rR4+e6fGlO+Vx6CLMFAACYDoTtCRDtaL+98RN9uPx628D9089+od/7wa6ePj/U+Tm74+43AAAAzo6wPQHyuXQ9YLcL3FHQfhnWNGvM6OPvfIugDQAAMGDUbE+Ixjrsy5fm9OHy63p74yd69Pi5Zs0ZvQyOvs2zxox+9N15ffNrXx7yjAEAAMbfyNV
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(U, I, \"x\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "048c8b91-5acd-4705-9989-a543d212c68c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xi = 4.26e+18\n",
      "En_max = 4.26e+18\n"
     ]
    }
   ],
   "source": [
    "Up = 46e-3\n",
    "Ip = 4.8e-3\n",
    "Uv = 340.6e-3\n",
    "Iv = 0.5e-3\n",
    "e = 1.6e-19\n",
    "\n",
    "xi = 2*Uv/e\n",
    "En_max = xi - Up*e\n",
    "print(f\"xi = {xi:.2e}\\nEn_max = {En_max:.2e}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a4878798-dbe1-47f5-adae-cc6a2e58bf27",
   "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}