diff --git a/ajusteCosmico.ipynb b/ajusteCosmico.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..a43bae583e9096a64c680a1e4399a57dfd683b3b --- /dev/null +++ b/ajusteCosmico.ipynb @@ -0,0 +1,494 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 73, + "id": "070f5975-9704-4f88-9c6e-231e1e4fa51a", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "from scipy.optimize import curve_fit\n", + "from __future__ import print_function\n", + "from scipy.stats import linregress\n", + "from PIL import Image\n", + "import urllib.request\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "3269b767-46e7-4532-8941-98c615625dd1", + "metadata": {}, + "outputs": [], + "source": [ + "plt.rc('axes', labelsize=20)\n", + "plt.rc('xtick', labelsize=20)\n", + "plt.rc('ytick', labelsize=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 271, + "id": "5e64722b-5c9d-4995-8660-768886c31d98", + "metadata": {}, + "outputs": [], + "source": [ + "histo=pd.read_csv(\"/home/laurab/Descargas/cerogrados.txt\",sep=\"\\t\")" + ] + }, + { + "cell_type": "code", + "execution_count": 272, + "id": "e27f397b-bb02-4c54-b412-807de527a6ce", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "<class 'pandas.core.frame.DataFrame'>\n", + "RangeIndex: 30 entries, 0 to 29\n", + "Data columns (total 2 columns):\n", + " # Column Non-Null Count Dtype\n", + "--- ------ -------------- -----\n", + " 0 Frecuencia 30 non-null int64\n", + " 1 counts 30 non-null int64\n", + "dtypes: int64(2)\n", + "memory usage: 608.0 bytes\n" + ] + } + ], + "source": [ + "histo.info()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 273, + "id": "da360b01-bcd9-4300-8877-040bcab0e944", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + "\n", + " .dataframe tbody tr th {\n", + " vertical-align: top;\n", + " }\n", + "\n", + " .dataframe thead th {\n", + " text-align: right;\n", + " }\n", + "</style>\n", + "<table border=\"1\" class=\"dataframe\">\n", + " <thead>\n", + " <tr style=\"text-align: right;\">\n", + " <th></th>\n", + " <th>Frecuencia</th>\n", + " <th>counts</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>0</th>\n", + " <td>50814</td>\n", + " <td>2</td>\n", + " </tr>\n", + " <tr>\n", + " <th>1</th>\n", + " <td>51110</td>\n", + " <td>3</td>\n", + " </tr>\n", + " <tr>\n", + " <th>2</th>\n", + " <td>51405</td>\n", + " <td>8</td>\n", + " </tr>\n", + " <tr>\n", + " <th>3</th>\n", + " <td>51701</td>\n", + " <td>6</td>\n", + " </tr>\n", + " <tr>\n", + " <th>4</th>\n", + " <td>51996</td>\n", + " <td>15</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Frecuencia counts\n", + "0 50814 2\n", + "1 51110 3\n", + "2 51405 8\n", + "3 51701 6\n", + "4 51996 15" + ] + }, + "execution_count": 273, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "histo.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 274, + "id": "60ce0754-0df2-4cbd-8f1d-ad8af7691fcc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 720x576 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "\n", + "counts = histo['counts']\n", + "frecuencia = histo['Frecuencia']\n", + "\n", + "\n", + "\n", + "\n", + "# Configurar tÃtulos y etiquetas de los ejes\n", + "plt.figure(figsize=(10,8))\n", + "\n", + "# Generar el histograma\n", + "plt.step(histo['Frecuencia'], histo['counts'], color='#F2AB6D')\n", + "\n", + "plt.title('Histograma de frecuencia del flujo de rayos cosmicos para 0 grados', fontsize=22)\n", + "plt.xlabel('Frecuencia')\n", + "plt.ylabel('Conteos')\n", + "\n", + "# Mostrar el histograma\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 275, + "id": "af53cdb1-eadc-4312-9ee9-bba174458266", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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83kzOuZ/M7Fv8yXcLYGYVYqrMkwmGVxgT/op+GdDFzOo551bg12MxMNU590UtxhirC77E+gvn3JcJpnkTOBm/XW+PGVdK/P0o8pBc7H7SO3h/sIbHI+CfQwH2xZdUtcCXWoD/TlC7+9xD+GM6VnW2b7aLrKvRCcY/iL8z1yvJ5e2OP1e87+I8zO2ce9bMfsffzYy2J/6c97xzbkGCZb8J7I/ff59NMh6AX51z71Y0gZm1Dpa9Jb4UMlLnduPgvQM+CY+4H58kDDKz85xzS4Pl7Izft2ax9vHUFV/i/ZNz7tXYz3fOLTKzZ/HVInvhEyjwv39bA4+Y2dX49Zrwd6QC3fAJzzznXLzjfC3B+miPT3zHxYl3lZk9DFwQxBupn/0h/ji6x8z+ja8OtTKJ+N5wzq2K+Ywy8/27NCP+uSnhb1gCkXPWM865hUlMvxt+X37POfdN7Mjgd/8D/P64O2uvg9rMWSBO/ffAOGAIcY7PGpxTU3G8pI35Z0/a4S/IHo0dHxxrr1LxMwOvRY7pCj5ne3xLdW3x+WEkV1sFtDCzDZxzvwXDIufZ55xvaCHWOPxdtFiR+Z51zi2J811eMrOf8du0Kz7PWBgcN9uZ2c34i8IqP+xe1cT/OufclEQjzXeaU5XE/yR8Sc/g4FViZh/i63ePdc5VdJERT6vg/YcE42fjT3b18CecBVHz/Jhgnsi4LpWMj8vMNsInm7skmgZ/cCUSryOVZRWMix5fLyaWDvjboRU9pFNRLLFaB+8Vre942gfvj1vlz1O2oHYT/0TbKhLTR0nE1Az/fMJmwf+pbmUiEts2VnnHNS3iDPvZxWnpyDn3R/Bd68aMqrXvZWY98LcxW1cwWTr3uaps32xX2flwVsx0lals3YM/vprEDIus+/2ruf9WpKLzNmZ2OXAhFf/WrbX/OeeWBInvsfjfpbuCUScF73c758qjZqlsPUP8dX0BvjrWfsFruZlNw1cBGuecm0VyIsfrOglsApEYfq7gAjdevDfiE+Z/4Z8JWBk8GPom8JBz7rMEy6rsd2qd8c65ZQnOTYlU9ZyV7DbrwdrroLZzlopimB28r3XurOE5tdaPlwosi/q7IfFbHlsveK8wEY8Sve+uTjBNhd+xovFmth7+Qizug9VR1sdXrYVKzovOud/NrARoHDMq2X2wJWvvg0Pw1QfPBM40s4X4Zzdexh+Hlbbwlq52/ONyzn1lZlvir1z/iS8V3xNf7eRSMzssmRKMeIuu5XnKKxgH/sHKRO7HJ/1T8aVIM4DfnXOrzawYX1UkcVBr/8BUNa5YE/FJ/zP4OqlfASVB6UsH/A9HjVs2SUKkBOF5/G23iiyu5c9OtK0iMT2Kf7ipIpFtVuPS8DjitbQViW0+/gemIvF++Kq6n9TK9zLfKsZT+MKAB/DPC3wHLHXOlZvZPviTVTr3uaps30xT3VbYUrGfVkVk3X+D/4GqyAdVXHbCc6/5VmYuwScVZ+IT6p+dc38F4x/Bl8LH2/9uxyf+w4G7zLfK83/4fefBBB9ZpfXsnPvFzLrhS3T3xv/+7YwvYb7YzE5wziX6rGp/bnXnc77Zz72COx+98fH2wMd8rpld6py7Is6slZ1/qnp+ihteOuZLYc6SlFo4p6bqeFlHULD0G/6Zic3wDy/HirQeNTuZZUYvvoJxNcnXrsUn/V/inz+chn/+YDWAmf2ET8Rr8zerqvvg22bWDjgAf+7YJfj7QOAyM9vHOfdxRcsINfEHCFboc8ELM9sAuBQ4Db9jJ1saBT4x2hJfwvR6nPFt8T+eK/APFIGvOw1rSgziaVuFGP5mvvOKPvjbUgc4536PmeQf1VluNWPZEt8qwwJ8Ry2xt5SrE8t8oCOJ10+i4XOD+e52zj1fjc9Nhbn4dXBlFartzAneO1bhcyK3vNdLMD7efjg3eP/ZOTesCp9VXXPwF4gd8a1FVNfu+B+o6c65Y+OMr+4+1x6/b8XrO6Btgvmqs33TrTr7RkXmA5vj11e8ddU+arpklwcVnw8r2n8/S9P+G3F48H6hc+7+OOMT7n/OuU/N7C1gdzPbHeiOv4M6Os5t+ch6aVdBLHHXdVCwMzl4RX4zTsE/j3anmU10lfcFUdXzUCSGTcysboLqOgn3DefcBwQXaEHh1QB8y3aXmdmj8arOpEF110H7CqZJtM1qM2eByn8/oz8/FefUiGofLxX4H/4O0Y7ET/x3Ct4rTFSjRPK1TcysToJS/7ZVinBtkXVwhHPu8+gRwbG58bqzVHxeNLMmrFvaHz1fdfbB5fi7Po8Fn9ESX/XsCOBOKq5hkp52/KsiqDd1Dv6qbRML2qsPRH4YE12wRNpyH5Jg/FHB+ztRVR+m4R88axPcQltLkDBvl2T4sRrj1/HSOEk/+C6s0yXS/uxPCeqRVieWyPpONG+i4S8G74cnGB+G6sQ0Gf+wzy6WfBvHkQN4y9gRQbWweO1Af4i/87G9maXjYjHSe+fRlkS9mApE9rm5CcZXpx3/XNrnYlW0b9Qn+br4EcmeD6ckuby38aVTPcxsnR8rM9ufdav5gL9LtRpfWhxvfKok3P+C43X7SuaPPCtzCr5VLfA/qrEiz4e0MrN/xfmsZvjSOKhkXTvn/nTOXY+v/lKP5BLZ6fg7p63NbN/KJnbOzcNXISjAN/EcG28d1hxHlcW7yjk3Gn8nx4DOScSbCpFz1sFm1jyJ6SP7cvfgbvdagv1jZ3we8lZFC6okZ0lGZeeyKVHDUnFOrXTZSR4v8UwK3uP1oVCIb10M/F2MSjnn5uCr6hQS51xuvp39vasRZ0RF63cA8Uv6I+fZA8wsXjWoRNs3Mt+BwcXjWoJjuSX+3DI9YcSAc+5n4KLg30rz1dASf/OdSJyZ4CDZHx/bH/gnpSMiP4yJkqz78LepdjWzETGftzv+6WqAmyPDgyunyO3UkRbV0YqZNcKf6Ku7nn7F1wNrYjEda5hZb/zttHT5Fn9i2jZYF9GxHIW/hVdVD+BbOdjTzI6LWWY/4j/YC3Av/sAaar4zjXU6SjGzdma2zo9SCt2I398uNN+Z2ToXl+Y7hvv7OwUPKt6D3z+eiP0BMbNCMzswZjGRO1EnB1fpkWmb4h9KX6e0NyjVuBJ/snvazHaKncbMis3soOBCtabux5es7ALcbv5BsujPamFmuyaxnEi1o39Gx2VmBWZ2Cf42eVXdid+PB5tZn+gRZnYG/kHHeKq8fUMQ2TcGm9nfCV+Q9N+Nb1WnKkbiH+w+0mI61DOzw/FVV1YT/8GzdTjnZuOrCRYCdwclYJHlbQLclGC+X/HbrQnwTLx91HxHSgOCi9/aEtn/jgtKpiOftSH+WKvsjvfT+PPU4fjS/I+cc9NiJwqqQtwT/HtbzHFdD7/t1sM/vDs1atzZFqejrKD6T0v8fp4owYv+/NX4KgrgO7dc6/xg3p5mFl3q+J/g/cqYY7MQXw20DT7Bmhg17qTo/TJqeHt8s4VQef3qlAiqNjyLb6TiqehtAH47WFQHns65H/GtzhUA/41eN8HF6X+DcY855+YGw6uTsyRjx+DcFR1vH/xFWRm+xbaIVJxTY5dd3eMlnlH4BmH2NLOTY8Zdh78j+TFrCmaSEbkgv9rM/r7DGMQ8ksR3TJMRWQcnRQ8Mjslr150c8BeRn+DPb7dZVOejwQXTv+PN5Jx7G9/fRiP83b26UfO1wjeBC3BH5Fkc852EHZvgAiOSa1R+DLokmv4hBe34ByvJ4X+YPsbfspgQrAiHP+nFtg3fhTVNbL2MTzzvJ6p5KnyHEJEOqSIdYkyh4g681mdNO96/468+J+KbSPuONc1jDoiZb3S87xszzVmsacrpXdbu4OrqyLg488UdHozrRZwmC6PGX0b85qwinVeV4UurIx0fOeAaKmiCsILvFzk5OfxV6SP40h9H5R14RZqMW4zvL+FhfGIR6TDk/SrEUdk6iezDbStYxp6s6XDkJ3xb5Q/jn0WItI88IWae6PbwV+NLhx7Bl3LG68CrmDWdbi3B/1i9HPz9ebDvxd2notanwz8r8iT+mHmbNU2Y9Y6avm1l27SC/a9bJH58aeIkfP3496laB17PBsNX4E/uE/DVTlazponNuNusgpgvYM054p1gG30a7Ie3JVpmNbfv6ETbo4L4KlzvFS0zan39iW/t5Dn8D+dPrGlHOva4HkbM+TVq3EmsaY74/eD7Rs4/ZcRpLriS77YJ/mE0x5oOvJ4J9r/3qbgDr0dZc86fhj/nPxrEEzlnb5lkHL0q23fwt8l/D6abE8T6HL5w6EsqONbi7GsOGFrBdNEdeC0L1smjrGmG90fW7cArEtuX+CQ00qFg5Hx6bTLrIliW4Qu+IsdFpLO2l0jcgdcjwfCV+HPQeNY087mEdTvw+iQY9z3+fPAw/mJ1ZTA8ts37y+Ltr1Hjp8TbV5I4NyUa3pQ17aL/hT++I7//vxG/A6/I79/iYBs8EXx3R0wHXlQjZ6lkm0W+f6QDrxlBvJEOzhxwTgXniKTPqaTpeEmw3D3wtSoc/rgfz5rOphYSpznVSpZXFOyvLljuc/hjbS7+tyrSDOqFVdkfg2n6Ra37T1jTAVwZfn+fTfzfuW1Z89vyY7BNXiK5Drwifeb8FHyPSIeIDp9HRPel0YU1x+wHwec8hs8dHL5WzDpNd6/zPZNc0ZGg4x6gcXbkYTHDh7Fu4l+Ev306AX+VVRJsxG+DFRy3U59gw7zPmnaR433etvgmlOYHK2Ix/gDpU0HsjfAHzQ/BSp2HL6lpHqx8B+wTM8/oeJ8fZ9mH4Xs3LMGXCLxL0D5y5DvEmSfu8GQOYhIn/gX4dn7/F+xYvwXfrTdJJIkVfL9ewXKWBq/3gu1U4TLxVaEuCLZnSdR6fw+4ggS9/VVznUT24baVLGdj/AXZJ8F3WRHMOwX/sE+89ssjt8xfx/9orAq+x6vASXGmb4pvKSSyf/6Ir5+3fmX7FL6O53j8iXkl/kT9Ff44GgA0jJq20m1ayX62Ib6U43P8sbkM38LSKNbtJCju+sVf6JwXLOMv/In+Gfxt9Aq3WSXb6VD8cfRnsO+8jn/YrrL9oErbt7LtkeAzKlzvFS0Tn0Beiz8PrcL/GDwQxH0ZFSf+oxJ8Xk/8ReKv+OTgV/yPUY9kv1PM8lpE7b8rg1hvwLfcMYWKk7kD8SXpP7Hm3Px5sE/1JabjnOoe71HTtcMfL3NZ07v6zfhzT6XbljX9OywiTg/rMdPWwd9VjvSMugL/23Y90CzO9AODGD7Hnzf+wlfBeZqY35oqbJsD8InQgmD9/oy/mDgnNn588j8YX1jxe9S2vIuotutjln0PPuldGEw/B9/Cz+Gs20ll3P01anxl+0p1fhvr4qtmTcWfF1bgz6/PEKdHU3zp8MX4goPlwWsGvmWbhjHTVitnqWBb/f39gb3whXEl+HPaVKBvgvmqfE5NNLy2j5cKltsxWEe/RO039wAtq7mfF+Nzh6+D5f0aLL8tvjDYEVOoUdn+GLOuJuPPTcuC/f1U/O/8bBLkEcG6G4c/9iLHfqSFpIrma44/f34TzLcUn9SfzLodiTXC97PzdLDfLcPnlF/h71Il1YGcBQuTBIJbgLPwT6Zv5JJrI1hEJC3M7CR8VZq7nHOxt9OlBszsFvwP7Q3OufNCDkdyiPnmz/cA9nQVNJMuyQuqcH6Ov9Do5pyrsG58vsq4h3vDYmZdzawgZlgzfElUU3znM0r6RSTTdA/ew2hNJWcF9e+Pw5ec31HJ5CKSJmbWJboufTCsIb6Of0d8C2JK+hMIvTnPDDIJKDKzz/G3zlrin2JfH19t45QQYxMRWYv5nhu74x/CXkbiXomlCszsOnynPHvjqy/d6IIHPEUkI9yB79ByBr46Wwt8azbN8dXWjko8qyjxX+Nm/IPB2+BL+Evx9R2fA25Wab+IZJhD8c9hvIV/kO3nkOPJFf3xrdr8jK+fH7dVDhEJzb34Z9q2xT/bAP65hMfwF+qzQ4orK6iOv4iIiIhIHlCJf4Zr3ry5a9u2bdhhiIiIiFRq+vTpi5xzVe3ITNJEiX+Ga9u2LdOmrdNnjIiIiEjGMbNQOnKT5KhVHxERERGRPKDEX0REREQkDyjxFxERERHJA6rjLyIiIrVu9erVzJs3jxUrVoQdiqRAvXr1aN26NXXq1Kl8YskYSvxFRESk1s2bN49GjRrRtm1bzCzscKQWOedYvHgx8+bNo127dmGHI1Wgqj4iIiJS61asWEGzZs2U9OcgM6NZs2a6m5OFlPiLiIhISijpz13attlJib+IiIiISB5Q4i8iIiI5qbCwkC5durDNNtuw3XbbcfPNN1NeXl7hPLNnz+aRRx5JU4Qi6aXEX0RERHJS/fr1+eSTT/jiiy949dVXefHFF7n88ssrnEeJv+QyteojIiIiKbXikyco/31+rS6zoEkr6nU5LOnpN9xwQ+6991523HFHLrvsMn788UcGDx7Mn3/+CcAdd9zBLrvswvnnn89XX31Fly5dGDp0KMOHD2f48OFMmzaNoqIi/vOf/7DnnnvyxRdfcNRRR7Fq1SrKy8t54okn2GKLLWr1O4rUNiX+IiIikhfat29PWVkZCxYsYMMNN+TVV1+lXr16fPvttxx55JFMmzaN6667jptuuonnnnsOgJtvvhkz47PPPuPrr79mn332YebMmdxzzz2cdtppDBw4kFWrVlFWVhbytxOpnBJ/ERERSamqlMyny+rVqznllFP45JNPKCwsZObMmXGne+eddzj11FMB2HLLLdlss82YOXMmPXr04Oqrr2bevHkceuihKu2XrKA6/iIiIpIXZs2aRWFhIRtuuCG33HILG220ETNmzGDatGmsWrWqSssaMGAAzzzzDPXr16dPnz5Mnjw5RVGL1B4l/iIiIpLzFi5cyIknnsgpp5yCmVFSUkLLli0pKChg3Lhxf1fVadSoEUuXLv17vt12242HH34YgJkzZzJnzhw6duzIrFmzaN++PSNGjODggw/m008/DeV7iVSFqvqIiIhITvrrr7/o0qULq1evpqioiMGDB3PmmWcCcNJJJ3HYYYcxduxYevfuTcOGDQHo3LkzhYWFbLfddgwbNoyTTjqJ4cOH06lTJ4qKihg9ejR169blscceY9y4cdSpU4eNN96YCy+8MMyvKpIUc86FHYNUoFu3bm7atGlhhyEiIlIlX331FVtttVXYYUgKxdvGZjbdOdctpJCkEirxFxGpBatmTaV0zvQaL6eoTVeK2/eshYhERETWpjr+IiK1oHTOdMpKatZOeVnJ/Fq5eBAREYlHJf4iIrWksHErGvQaUe35l08ZWYvRiIiIrE0l/iIiIiIieUCJv4iIiIhIHlDiLyIiIiKSB5T4i4iISM56+umnMTO+/vrrv4f99NNP9OvXr1rLGz16ND/99FNthZcyNfmOkruU+IuIiEjOGj9+PLvuuivjx4//e9gmm2zCxIkTq7W8bEn8a/IdJXcp8RcREZHUOv106NWrdl+nn17pxy5btox33nmHBx54gAkTJvw9fPbs2Wy77baAT+RPOeWUv8cdcMABTJkyhbKyMoYNG8a2225Lp06duOWWW5g4cSLTpk1j4MCBdOnShb/++ovp06ezxx570LVrV/bdd19+/vnndeL4/vvv6d69O506deLiiy9mvfXW+zu+f/3rX+ywww506tSJSZMmrRMfwE033cRll10GwMiRI9l6663p3Lkz/fv3B+DNN9+kS5cudOnShe23356lS5eutYzZs2ez2267scMOO7DDDjvw7rvvAjBlyhR69epFv3792HLLLRk4cCCRjl1ff/11tt9+ezp16sTRRx/NypUrK13fkvnUnKeIiIjkpEmTJtG7d286dOhAs2bNmD59Ol27dk1q3k8++YT58+fz+eefA/D777/TpEkT7rjjDm666Sa6devG6tWrOfXUU5k0aRItWrTg0Ucf5aKLLuLBBx9ca1mnnXYap512GkceeST33HPP38Pr1avHU089xfrrr8+iRYvo3r07Bx10UIVxXXfddfzwww/UrVuX33//HfAXBnfeeSc9e/Zk2bJl1KtXb615NtxwQ1599VXq1avHt99+y5FHHsm0adMA+Pjjj/niiy/YZJNN6NmzJ1OnTqVbt24MGzaM119/nQ4dOjBkyBDuvvtuTk/iYksymxJ/ERERSa1bbw3lY8ePH89pp50GQP/+/Rk/fnzSiX/79u2ZNWsWp556Kvvvvz/77LPPOtN88803fP755+y9994AlJWV0bJly3Wme++993j66acBGDBgAGeffTYAzjkuvPBC3nrrLQoKCpg/fz6//vprhXF17tyZgQMH0rdvX/r27QtAz549OfPMMxk4cCCHHnoorVu3Xmue1atXc8opp/DJJ59QWFjIzJkz/x630047/T19ly5dmD17No0aNaJdu3Z06NABgKFDh3LnnXcq8c8BSvxFREQk5yxZsoTJkyfz2WefYWaUlZVhZtx4441rTVdUVER5efnf/69YsQKADTbYgBkzZvDyyy9zzz338Nhjj61Tku+cY5tttuG9996rVowPP/wwCxcuZPr06dSpU4e2bduyYsWKhDEBPP/887z11ls8++yzXH311Xz22Wecf/757L///rzwwgv07NmTl19+ea1S/1tuuYWNNtqIGTNmUF5evta4unXr/v13YWEhpaWl1foukh1Ux19ERERyzsSJExk8eDA//vgjs2fPZu7cubRr14633357renatm3LJ598Qnl5OXPnzuXDDz8EYNGiRZSXl3PYYYdx1VVX8b///Q+ARo0asXTpUgA6duzIwoUL/078V69ezRdffLFOLN27d+eJJ54AWOtZg5KSEjbccEPq1KnDG2+8wY8//gjARhttxIIFC1i8eDErV67kueeeA/g7xj333JPrr7+ekpISli1bxvfff0+nTp0477zz2HHHHddqwSjyOS1btqSgoIBx48ZRVlZW4brr2LEjs2fP5rvvvgNg3Lhx7LHHHkmsdcl0SvxFREQk54wfP55DDjlkrWGHHXbY3637mBngq8m0a9eOrbfemhEjRrDDDjsAMH/+fHr16kWXLl0YNGgQ1157LQDDhg3jxBNPpEuXLpSVlTFx4kTOO+88tttuO7p06fL3g7PRbr31Vv7zn//QuXNnvvvuOxo3bgzAwIEDmTZtGp06dWLs2LFsueWWANSpU4dLLrmEnXbaib333vvv4WVlZQwaNIhOnTqx/fbbM2LECJo0acKtt97KtttuS+fOnalTpw777bffWp9/0kknMWbMGLbbbju+/vprGjZsWOG6q1evHqNGjeLwww+nU6dOFBQUcOKJJ1Zp/UtmssjT25KZunXr5iIP4IhI5lo+ZSQADXqNCHUZIpniq6++Yquttgo7jLimT5/OmWeeyZtvvpmWz1u+fDn169fHzJgwYQLjx4//uwWfbBZvG5vZdOdct5BCkkqojr+IiIjkjWnTpjFgwACuu+66tH3m9OnTOeWUU3DO0aRJk3WeFRBJFyX+IiIikje6deu2Vqs26bDbbrsxY8aMtH6mSDyq4y8iIiIpoerEuUvbNjsp8RcREZFaV69ePRYvXqwEMQc551i8ePE6HYVJ5lNVHxEREal1rVu3Zt68eSxcuDDsUCQF6tWrt05HYZL5lPiLiIhIratTpw7t2rULOwwRiaKqPiIiIiIieUCJv4iIiIhIHlDiLyIiIiKSB5T4i4iIiIjkASX+IiIiIiJ5QK36iIhkgpUrsZ8XY4v/gIK3oLAQNtwQWrWCBg3Cjk5ERHKAEn8RkTCsXg1TpsCkSTB1Knz2GfXLyoKRt66Zzgy22gp69IADD4S999aFgIiIVIsSfxGRdJo3D+66C+67DxYt8kn8LrvAeeexsvQHXLPG1Ot2uL8wWLAAvv8epk2DiRPhgQegUSMYOhROOQU6doz7EatmTaV0zvQah1rUpivF7XvWeDkiIpIZlPiLiKTDggVw9dVwzz1QWgoHHQRHHeVL8OvXB6Bsykg/ba9/rjt/5A7B2LFw773+4mHQILj8cmjbdq1JS+dMp6xkPoWNW1U73LKS+TAHJf4iIjlEib+ISCo5B2PGwJlnwh9/+GT/oovWSdYrVaeOv0jYe2+4+Wa44Qa48054/HG45BK//OLivycvbNyKBr1GVDvs5ZGLEBERyRlq1UdEJFXmz4d99/XJ/jbbwGef+So+VU36Y224Idx0E8ycCfvtBxdc4J8B+O67WglbRERykxJ/EZFUmDIFdtgB3n3XV8t5803/kG5t2nRTeOIJeOop+OEH/3njx9fuZ4iISM5Q4i8iUttuvRX22guaNoUPP4Thw6Eghafbvn3hk0+gc2cYMIA69z0L5eWp+zwREclKeZn4m1k/M7vdzN42sz/MzJnZQ5XMs4uZvWBmS8zsLzP71MxON7PCCuY5wMymmFmJmS0zsw/MbGjtfyMRyQjl5XD22XDGGXDwwT7p33rr9Hx2mzb+LsMJJ1DnkdcovnocrFyZns8WEZGskK8P914MbAcsA+YBW1Y0sZkdDDwBrAAeBZYABwK3AD2Bw+PMcwpwO7AYeAhYBfQDRptZJ+fc2bX1ZUQkA5SWUXzDeHj1I9/U5m23pbaUP56iIrj7bla5nyi+91nYf3945hm1+y8iIkCelvgDZwAdgPWB4RVNaGbrA/cBZUAv59wxzrlzgC7Ae0A/M+sfM09b4Cb8BUI359zJzrkzgM7A98BZZtajVr+RiISnrIzia8ZR9OpHcOWVMHJk+pP+CDNKj9yLlRcMgjfe8M2GLl8eTiwiIpJR8jLxd8694Zz71jnnkpi8H9ACmOCcmxa1jBX4Owew7sXD0UBd4A7n3OyoeX4Drgn+PbGa4YtIJikvh2OPpeiNj1l14sFw8cW+t92Qle2zI4weDZMn+2pHf/0VdkgiIhKyvEz8qyjSk85Lcca9BSwHdjGzuknO82LMNCKSrZyDESNg9GhWDetN6REZdlgPHuyT/9df9519lZWFHZGIiIQoX+v4V0XH4H1m7AjnXKmZ/QBsA7QHvkpinp/N7E+gtZk1cM7pHrxItrr5Zt+J1llnUbr/pmFHE9+QIbBkiX/g+MwzfYtDSd6RKCuZXysdeRW16aoegEVEMoBK/CvXOHgvSTA+MrxJNeZpHG+kmR1vZtPMbNrChQuTjVNE0umpp+Dcc+Hww30vuhlQvSeh00/3if/IkXDLLUnNUtSmK4WNW9X4o8tK5lM6Z3qNlyMiIjWnEv8M5Jy7F7gXoFu3bsk8hyAi6TR9OgwcCDvvDGPGhPcgb1XcdBPMmQPnnAPbbgv77FPh5MXte9ZKKX1t3DEQEZHakQW/VqGrsHQ+avjv1Zgn0R0BEclUixfDYYdBixbw9NNQv37YESWnoMBfpGyzDfTvD7NmhR2RiIikmRL/yn0TvHeIHWFmRUA7oBSYleQ8LYGGwDzV7xfJMuXl/iHZn3+GiRNho43CjqhqGjb0VZQADjkE/vwz3HhERCStlPhXbnLw3jvOuN2BBsC7zrnoLjIrmme/mGlEJFtceSW89JLvnGvHHcOOpno23xzGj4fPPvN1/0VEJG8o8a/cRGAR0N/MukUGmlk94Krg37tj5hkFrAROCTrzisyzAXBh8O89qQpYRFLg7bfh8st9if8JJ4QdTc3suy9ccAHcfz889ljY0YiISJrk5cO9ZtYX6Bv8u3Hw3sPMRgd/L3LOnQ3gnPvDzI7DXwBMMbMJ+B55D8I32zkReDR6+c65H8zsHGAkMM3MHgVW4TsDaw3c7Jx7LzXfTkRq3R9/+Dbx27WDu+7K7BZ8knXZZb5zr+OPh512grZtw45IRERSLC8Tf6ALMDRmWPvgBfAjcHZkhHPuaTPbA7gIOAyoB3wHnAmMjNcDsHPudjObHSxnCP7uypfAxc65MbX5ZUQkxUaMgLlz4Z13oFGjsKOpHXXqwCOPQJcu/i7Gm29CYWHYUYmISArlZeLvnLsMuKyK80wF+lRxnmeBZ6syj4hkmCee8K3h/Pvf0KNH2NHUrnbtfAdkgwf7Nv7POCPsiEREJIVUx19EJJFffvFVYXbc0Sf+uWjgQDjwQLjwQvj227CjERGRFFLiLyKSyGmn+SYvx471VWNykRnccw/UqwdHH+2bLBURkZykxF9EJJ7nnvMt3lx8MWy5ZdjRpNYmm8Ctt/pnGO64I+xoREQkRZT4i4jEWroUhg+HbbeFc88NO5r0GDIE+vSB88+H2bPDjkZERFJAib+ISKyLLoL58+G++6C4OOxo0iNS5cdMHXuJiOQoJf4iItE+/NBXdzn5ZOjePexo0mvTTeGSS2DSJHj++bCjERGRWqbEX0QkorwcTjkFNtoIrr467GjCccYZsNVWcOqp8NdfYUcjIiK1SIm/iEjE2LHw0Udwww2w/vphRxOO4mLftv8PP8C114YdjYiI1KK87MBLRHLDqllTKZ0zvcbLKWrTleJm2/oHW3v08G3b57M994QBA+D66/1Dv//4R9gRiYhILVCJv4hkrdI50ykrmV+jZZSVzPcXD1deCQsW+B5sC3Rq5KabfN8F550XdiQiIlJLVOIvIlmtsHErGvQaUe35l08Zic35FW67DY45Brp1q8XosljLlj7pv+QSePtt2G23sCMSEZEaUrGWiOS9Ov99Bho0yN8HehM56yxo1QrOPFM9+oqI5AAl/iKS1wo++56idz/39fs33DDscDJLgwb+Ad9p02D8+LCjERGRGlLiLyL5yznq/PcZyps3htNOCzuazDRwIHTtChdcoOY9RUSynBJ/EclfkyZR+MVsVg/bz5duy7oKCuDmm2HuXP/gs4iIZC093CsiaVdbzXCWlcynsHGr6s1cWgoXXEB5m41Y1aM1ZVNqltTWKJZMt8ce0KePb97zxBOhceOwIxIRkWpQib+IpF1tNMMJvkWfojZdqzfzqFHw9deUXXg6hU03DTeWbHDVVfDbb770X0REspJK/EUkFDVthrNGli+HSy+FXXahzvHnUccsnDiyyfbbw+GHwy23wKmnQosWYUckIiJVpBJ/Eck/d94JP//sq64o6U/eFVf4i6brrgs7EhERqQYl/iKSX/78E264AfbdF3bdNexossuWW8Lgwf7CaX7Nq2qJiEh6KfEXkfxy112waJGv6iNVd+mlvjOvq64KOxIREakiJf4ikj+WLVtT2t+jR9jRZKd27eC44+D++2HWrLCjERGRKlDiLyL5I1Laf9llYUeS3S66yLfvf/31YUciIiJVoMRfRPLDsmVw443Quzd07x52NNltk03gmGN8k6hz54YdjYiIJEmJv4jkhzvvVGl/bTrvPHDOX0yJiEhWUOIvIrkvUtq/336w885hR5MbNtsMhgyB++6DX34JOxoREUmCEn8RyX333w+LF8Mll4QdSW45/3xYtUq9+YqIZAkl/iKS2yKJaa9eqttf27bYAvr3h7vv9tWoREQkoynxF5Hc9vDDMG+eL52W2nfRRb5TtFtvDTsSERGphBJ/Ecld5eW+ycntt4d99gk7mty09dZw2GFw++1QUhJ2NCIiUgEl/iKSu55+Gr75xpf2m4UdTe664AL44w+4996wIxERkQoo8ReR3OQcXHcdbL65L5GW1OnaFfbcE267zT9TISIiGUmJv4jkpjfegI8+gnPPhcLCsKPJfeecA/Pnw/jxYUciIiIJKPEXkdx03XXQsiUMHRp2JPmhd2/Ydlu46SZ/t0VERDKOEn8RyT0zZsCrr8Jpp0HdumFHkx/MfKn/55/DSy+FHY2IiMShxF9Ecs+tt0KDBnD88WFHkl/694dWrXwvySIiknGU+ItIbvnlF3jkETj6aNhgg7CjyS/FxXD66f75iunTw45GRERiKPEXkdxy112werWv5iPpd/zxsP76KvUXEclASvxFJHf89RfcfTccdBD84x9hR5Of1l/fJ/8TJ8LcuWFHIyIiUZT4i0jueOghWLQIzjgj7Ejy2ymn+JZ97ror7EhERCSKEn8RyQ3OwS23wPbbw+67hx1NfttsM+jb1/fku0IdeomIZAol/iKSG15+Gb76Cs480zctKeE67TRYsoTC16aFHYmIiASU+ItIbvjPf3yHXf/3f2FHIgC77QZdulDniTfVoZeISIZQ4i8i2e/zz32HXaee6puUlPCZwWmnUTD7Fwr+NzPsaEREBCX+IpILbr8d6tVTh12Zpn9/XJP1KHryrbAjERERlPiLSLb7/Xffms+AAdCsWdjRSLR69Sg9sCeF730B338fdjQiInlPib+IZLcxY2D5cjj55LAjkThKD+oJBebvyoiISKiU+ItI9iov923Fd+8OO+wQdjQSh2vemLJe28ODD8Iff4QdjohIXlPiLyLZ6/XXYeZMlfZnuNLD9oClS2HcuLBDERHJa0r8RSR73XEHtGgBhx8ediRSgfKtNoOuXeHuu9W0p4hIiJT4i0h2+vFHeO45OO44qFs37GikMsOHwxdfwDvvhB2JiEjeUuIvItnpnnv8+wknhBuHJOfII6FxY/9MhoiIhEKJv4hknxUr4P774aCDoE2bsKORZDRoAMOGwRNPwK+/hh2NiEheUuIvItnn8cdh0SI91JttTjwRVq/2LfyIiEjaKfEXkexzxx3QsSP8619hRyJVseWW8M9/wn//C2VlYUcjIpJ3lPiLSHaZNg0+/NCX9puFHY1U1fDh/sHsF18MOxIRkbyjxL8KzGx/M3vFzOaZ2V9mNsvMHjezHgmm38XMXjCzJcH0n5rZ6WZWmO7YRXLGPff4+uJDhoQdiVTHwQdDy5a+aU8REUkrJf5JMrPrgeeAHYCXgNuA/wEHA1PNbFDM9AcDbwG7A08BdwDFwC3AhPRFLpJD/vgDxo9f00KMZJ86deDYY32J/w8/hB2NiEheKQo7gGxgZhsDZwO/Ap2dcwuixu0JTAauAB4Khq0P3AeUAb2cc9OC4f8Opu1nZv2dc7oAEKmKRx6B5cvh+OPDjiRlykrms3zKyBovo7Bxq1qKKAWOPx6uuQbuvReuvTbsaERE8oZK/JOzGX5dfRCd9AM4594AlgItogb3C/6fEEn6g2lXABcH/w5PacQiucY5/1DodtvBjjuGHU1KFLXpWisJe2HjVhS16VoLEaVI69Zw4IG+SdaVK8OORkQkb6jEPznfAquAncysuXNuUWSEme0ONAKejpr+n8H7S3GW9RawHNjFzOo65/SrJ5KM6dPhk0/gzjtz9qHe4vY9KW7fM+ww0mP4cHj6aXjySV91S0REUk4l/klwzi0BzgM2Ar40s3vN7Fozewx4BXgViO4+tGPwPjPOskqBH/AXXe1TGrhILrn3XqhfHwYODDsSqQ177QXt2sF994UdiYhI3lDinyTn3K3AofiE/TjgfOBwYC4wOqYKUOSpw5IEi4sMbxJvpJkdb2bTzGzawoULaxi5SA5YutTX7+/fXw/15oqCAv+Q7xtvwHffhR2NiEheUOKfJDM7F5gIjAY2BxoCXYFZwMNmdkNtfZZz7l7nXDfnXLcWLVpUPoNIrhs/Hv78M6cf6s1Lw4ZBYSE88EDYkYiI5AUl/kkws17A9cAzzrkznXOznHPLnXP/Aw4B5gNnmVmk6k6kRD9R0WRk+O+piVgkx9x7L3TqBDvvHHYkUps22QT23x9GjYLVq8OORkQk5ynxT84BwfsbsSOcc8uBD/Hrcvtg8DfBe4fY6c2sCGgHlOLvFohIRf73P/9g7/HH5+xDvXnt2GPh11/h+efDjkREJOcp8U9O3eA9Ub2byPBVwfvk4L13nGl3BxoA76pFH5Ek3Hcf1KsHgwZVPq1kn/328yX/eshXRCTllPgn5+3g/XgzW6uRbTPbD+gJrADeDQZPBBYB/c2sW9S09YCrgn/VX71IZZYtg4cfhiOOgCZNwo5GUqGoCI4+Gl56CebODTsaEZGcpsQ/OROB1/DNeX5lZmPM7HozewZ4HjDgfOfcYgDn3B/4ln8KgSlmdn/w8O8nQI9geY+m/2uIZJlHH/Ut+uih3tx29NFQXu7r+ouISMoo8U+Cc64c6AOcAXyJf6D3LKA78AKwr3Putph5ngb2wHfYdRhwKrAaOBPo75xz6YpfJGvdey9ssw306BF2JJJK7drB3nv71n3KysKORkQkZ6nn3iQ551YDtwavZOeZir9gEJGq+vRT+PBDuPVWPdSbD4491lfpeu012HffsKMREclJKvEXkcz04INQXKyHevPFwQdD8+Z6yFdEJIWU+ItI5lm5Eh56CPr2hWbNwo5G0qFuXRg6FCZNggULKp9eRESqTIm/iGSeZ5+FxYvhqKPCjkTS6ZhjoLQUxowJOxIRkZykxF9EMs+DD0KrVv6BT8kfW20Fu+7qq/uo/QMRkVqnxF9EMsv8+fDyyzBsGBQWhh2NpNuxx8K338LUqWFHIiKSc5T4i0hmGTvWt+k+bFjYkUgY+vWD9dZTm/4iIimgxF9EModzvprP7rvDP/4RdjQShoYN4f/+Dx57DP78M+xoRERyihJ/Eckc77wD333ne3KV/HXUUbBsGUycGHYkIiI5RYm/iGSOUaN8NY9+/cKORMLUs6e/46PqPiIitUqJv4hkhqVLffWO/v19dQ/JX2b+GY8334RZs8KORkQkZyjxF5HM8Pjjvk632u4XgCFD/AXA6NFhRyIikjOU+ItIZnjwQejYEXr0CDsSyQSbbur7cRgzxrfyJCIiNabEX0TCN3Omb7f96KN9Ka8I+Ls/c+bAG2+EHYmISE5Q4i8i4Rs1ynfWNXhw2JFIJunbF5o00UO+IiK1RIm/iISrtNRX59hvP2jZMuxoJJPUqwdHHglPPAElJWFHIyKS9ZT4i0i4Xn4Zfv5ZbfdLfMOGwYoV8OijYUciIpL1lPiLSLhGjYIWLWD//cOORDLRjjvC1luruo+ISC1Q4i8i4Vm0CJ55BgYNguLisKORTGTmH/J9/3346quwoxERyWpK/EUkPOPHw+rVvjqHSCKDBvmHv9Wmv4hIjRSFHYCIZJdVs6ZSOmd6jZZRVjKfwsatYOxY6NIFOneuneAkN228MfTp4/eXq6+GIv10iYhUh0r8RaRKSudMp6xkfo2WUdi4FUUrm8K0ab6HVpHKHHUU/PILvPJK2JGIiGQtFZuISJUVNm5Fg14jaraQ88/31TcGDKidoCS37b8/NG/uH/Lt0yfsaEREspJK/EUk/crK4KGHoHdv2GijsKORbFBcDAMHwqRJsHhx2NGIiGQlJf4ikn5vvAHz56uaj1TNsGH+YXC16S8iUi1K/EUk/caOhcaN4aCDwo5Essl220GnTn7/ERGRKlPiLyLptXQpPPEEHHEE1KsXdjSSTcz8XaIPPoBvvgk7GhGRrKPEX0TS68knYflyVfOR6hk4EAoKYNy4sCMREck6SvxFJL3GjoXNN4dddgk7EslGLVvCPvv4xL+8POxoRESyihJ/EUmfOXP8g71DhvhqGyLVMWSI35fefDPsSEREsooSfxFJn4ceAudg0KCwI5FsdvDB0KiRHvIVEakiJf4ikh7O+URtt92gffuwo5Fs1qABHH44TJwIf/4ZdjQiIllDib+IpMdHH/mWWIYODTsSyQVDhsCyZfD002FHIiKSNZT4i0h6jBnjm+/s1y/sSCQX7LYbtG2r6j4iIlWgxF9EUm/lSpgwAfr29R13idRUQQEMHgyvveZ7gRYRkUop8ReR1HvhBViyRNV8pHYNHuyb9Hz44bAjERHJCkr8RST1xo6FjTeGvfYKOxLJJVtsAT16+GpkzoUdjYhIxlPiLyKptWgRPP+873G1qCjsaCTXDB0KX34JH38cdiQiIhlPib+IpNaECbB6tW+FRaS2/d//QXGxHvIVEUmCEn8RSa2xY6FLF+jcOexIJBdtsAEcdBA88oi/wBQRkYSU+ItI6nz1lW+/X6X9kkpDhsDChfDSS2FHIiKS0ZT4i0jqjB0LhYUwYEDYkUgu690bWrRQdR8RkUoo8ReR1Cgrg4ce8knZRhuFHY3ksjp1/MXlM8/Ab7+FHY2ISMbK+MTfzNqaWR8zaxg1rMjMLjezGWb2rpkdEmaMIhLHlCkwb56q+Uh6DBkCq1bBY4+FHYmISMbK+MQfuBQYB6yMGnYx8G+gE9AdeMzMuocQm4gkMmaM76X3oIPCjkTywfbbwzbbqLqPiEgFsiHx7wG87pwrBTCzAuAk4GugDbAT8CdwRmgRisjali2DJ56AI46AevXCjkbygZkv9X/3Xfj227CjERHJSNmQ+G8E/Bj1fxegOXCnc26ec24aMAnYMYTYRCSeJ5+E5ctVzUfSa+BAKCiAcePCjkREJCNlQ+JfB4jui71n8P/kqGHzgJbpDEpEKjB2LLRvD7vsEnYkkk9atYK99vKJf3l52NGIiGScbEj85wHRPf/0ARY5576KGrYh8EdaoxKR+ObOhcmTfWm/WdjRSL4ZMgRmz4Z33gk7EhGRjJMNif9zwN5mdpOZXQXsDTwTM00H1q4OJCJheeghcA4GDw47EslHffvCeuvpIV8RkTiyIfG/AfgBOBO4EPgZ39IPAGa2If4B4LdCiU5E1nDOJ1y77ear+oikW8OG0K+fb9Zz+fKwoxERySgZn/g75xbgm+08KHht7Zz7KWqS5sA5wP0hhCci0aZNg6+/1kO9Eq4hQ2DpUpg0KexIREQySlHYASTDOfcXvspPvHFfAl+mNyIRiWvMGN985+GHhx2J5LM99oA2bfzdpyOPDDsaEZGMkfEl/tHMrLWZHWhmg83sIDNrHXZMIhJYtQrGj/d1rBs3DjsayWcFBf4Zk1degZ9/DjsaEZGMkRWJv5ltZmYv4R/gfRoYDTwF/GhmL5lZ2/CiExEAXngBlixRNR/JDIMH+yY9H3447EhERDJGxlf1MbONgXeAVsBs/EO8P+Pb7d8N2Ad4x8y6Oed+CStOkbw3dixsvDHsvXfYkUiOWTVrKqVzpld5vrpbt8Xu+g8rutYBM4radKW4fc8URCgikh2yocT/3/ik/zxgC+fcMOfcBc65YfhmPM8FNgEuDi9EkTy3eDE895zvObUo48sTJMuUzplOWcn8Ks9Xts+OFPzwM/b9fMpK5lfr4kFEJJdkwy/0/sArzrkbY0c458qAm8xsL+AA4JR0ByciwIQJsHq1qvlIyhQ2bkWDXiOqNlPnQXDXJOp/sZrlB7dLTWAiIlkkG0r8NwYqK6aZHkyXcmb2LzN7ysx+MbOVZvaTmb1sZn3iTLuLmb1gZkvM7C8z+9TMTjezwnTEKpI2Y8fCdttB586VTyuSLk2bwoEHwiOPQGlZ2NGIiIQuGxL/EmCzSqZpE0yXUmZ2A/Aa0A3fe/DNwPNAC6BXzLQH459H2B3/IPIdQDFwCzAh1bGKpM3XX8OHH8LQoWFHIrKuIUNgwQIKPvo67EhEREKXDVV93gH6mdldzrl3Y0ea2c7A4fgEPGXM7Dh8R2FjgOOdc6tixteJ+nt94D6gDOjlnJsWDP83MBn/ffo753QBINlv7FgoLFR76ZKZeveG5s0pevlDVvXYJuxoRERClQ0l/lcH72+a2TgzO9rM9jOzo8xsDPB2MP6aVAVgZnWDOOYQJ+kHcM6tjvq3H/4uwIRI0h9Ms4I1DyEPT1W8ImlTVgbjxsG++/oWfUQyTXExDBhA4bufw9LlYUcjIhKqjC/xd879z8z64UvaBwIDokYbsAQ42jmXyuYa9sYn8rcC5Wa2P7AtsAL40Dn3Xsz0/wzeX4qzrLeA5cAuZlbXObcyNSGLpMGUKTBvHtx8c9iRSAYrK5nP8ikjazR/YeNW1Q9gyBBs5EiK3vgYDqz+YkREsl3GJ/4AzrnnzKwNcDCwA9AYX6f/Y+Bp59yfKQ5hx+B9RfCZ20aPNLO3gH7OuYXBoI7B+8zYBTnnSs3sB2AboD3wVew0ZnY8cDxAmzZtaiN+kdQYO9b30nugsimJr6hNV3+vtAYKG7fyy6muHXagfLONKXzlo5oFIiKS5bIi8QcIkvtHgle6bRi8nwN8ie847BOgHXATvhOxx1nzgG/j4D3RA8eR4U3ijXTO3QvcC9CtWzdX7ahFUmnZMnjiCRgwAOrXDzsayVDF7XuG32mWGaX77kTxvc/Ad9/BP/4RbjwiIiHJhjr+azGzDcxs0zR/bGQ9lQIHOefecc4tc859BhwCzAP2MLMeaY5LJDxPPgl//qnWfCQrlO3VFWfm71KJiOSprEj8zWw9M7vZzH4BFgE/RI3bOWgrf4cUhvB78P6xc2529Ajn3HLg5eDfnYL3SIl+Y+KLDP89wXiRzDd2LGy+OeyyS9iRiFTKtWhCedcO/mH08vKwwxERCUXGJ/5m1hh4DzgD+AlfJ96iJvkMX/UmlW0JfhO8/55g/G/Be6S+Q2T6DrETmlkRvopQKTCrluITSStb8BtMnuzbSDerfAaRDFC6z04weza8807YoYiIhCLjE3/gIvyDsMOcczvg69L/LShxfxP4VwpjeB1wwNZmFm+dRR72jdyJmBy8944z7e5AA+Bdtegj2arw1WngHAwaFHYoIkkr27UTrLcejBkTdigiIqHIhsT/UOBl51xFFTN/BGrQ1lvFnHM/As/iewg+LXqcme0D7Iu/GxBpvnMivkpSfzPrFjVtPeCq4N+7UxWvSEo5R9HLH8Juu0H79mFHI5K8+nWhXz94/HFYrjb9RST/ZEPi3xr4tJJplpG4Pn1tORmYC/zHzF4zsxvNbCLwAr6H3mOdcyUAzrk/gOOAQmCKmd1vZjfgWwLqgb8weDTF8YqkRMHXcyiYu0AP9Up2GjIEli6FSZPCjkREJO2yIfFfyprmNBNphy9hTxnn3DygK3AHsAW+5L8X/k5AT+fcEzHTPw3sge+w6zDgVGA1cCbQ3zmnZjolKxW+8hGuuI4vORXJNnvsAW3aqLqPiOSlbGjH/yPgADNr5JxbGjvSzFoCfYDnUh1I0EHXqcErmemn4mMTyQ0rV1I0eTplu3aiqHGqb7KJpEBBAQweDNdeCz/9BJtsEnZEIiJpkw0l/rcBzYAXzGyr6BHB/48D9YDq9wcvIsl54QXsj+WU7rtT5dOKZKrBg32Tno+E0R+kiEh4Mj7xd869DFwO9AQ+By4AMLNFwf+7ABc4594NLUiRfDF2LK7p+r49dJFs1bEjdO/uq/uo1qWI5JGMT/wBnHOX45vrfAbfZn4ZvnnNF4C9nHM3hhieSH5YtAief57SvbpCYWHY0YjUzJAh8Pnn8MknYUciIpI2WZH4Azjn3nDOHeKca+mcK3bOtXDOHeicm1z53CJSYxMmwOrVquYjueGII6C42PdALSKSJzI+8TezIWbWuZJpOpnZkHTFJJKXxoyBLl1w7fUwpOSApk3hwAPh4Ydh9eqwoxERSYuMT/yB0UDfSqY5CBiV8khE8tWXX8K0ab56hEiuGDIEFi6El18OOxIRkbTIhsQ/GYX4Ov8ikgrjxvl6/QMGhB2JSO3p3RuaN1d1HxHJG7mS+HfAP/QrIrWtrMwn/r17w0YbhR2NSO0pLvYXs5MmwW/6CRGR3JeRHXiZ2YMxg/qaWds4kxYCbYDdgOdTHZdIXnrjDZg/H265JexIRGrfkCEwciQ89hiccELY0YiIpFRGJv7AsKi/HdAleMXjgA+AM1IakUi+GjMGGjf2D0KK5JoddoCtt/bVfZT4i0iOy9SqPu2CV3vAgFujhkW/2gDrO+d2cc7NCidUkRy2dCk8+aRv+rBevbCjEal9ZjB0KLz7Lnz7bdjRiIikVEYm/s65H4PXbHyvvU9HDYt+zXPO/RlyuCK568knYflynxiJ5KqBA/0FwLhxYUciIpJSGZn4R3POXe6ceyvsOETy0pgxsPnm0KNH2JGIpE6rVrDXXj7xLy8POxoRkZTJ1Dr+6zCzQqAjsAH+od516AJBpBbNnu0f7L38cl8aKpLLhg6FQYPg7bdhjz3CjkZEJCWyIvE3s3/jH95tXMmkcS8IRARWzZpK6ZzpSU9fNOZF6pixokM5bsrIv4eXlcynsHGrVIQoEp6+fWG99fxDvkr8RSRHZXzib2bn4uv5lwDjgLlAaahBiWSh0jnTk0/ay8speulDyrffArdx07VGFTZuRVGbrimKUiQkDRtCv37w+ONw++3QoEHYEYmI1LqMT/yB44D5wA7OuYVhByOSzQobt6JBrxGVT/jGG/DLErhpJA16DUx9YCKZYOhQGD3aP9Q+aFDY0YiI1LqMf7gX2BTfqo+SfpF0GT0a1l8fDjkk7EhE0mf33aFdOxg1KuxIRERSIhsS/1/JjjsTIrlh6VKYOBH691d1B8kvBQVw1FEweTL88EPY0YiI1LpsSPwfA/Y2s7phByKSFx57zLfdP2xY2JGIpN/Qob4VqzFjwo5ERKTWZUPifynwMzDRzNqFHYxIzhs1Cjp2hO7dw45EJP3atPFt+o8erTb9RSTnZEMVms+BOsAmQB8zKwF+jzOdc85tns7ARHLOzJkwdSpcd53a7pecU1Yyn+VRTdMmUrhzS+q++iorbjmV8q4d1xlf1KYrxe17piJEEZGUyoYS/wJ8851zglcJYHFe2fBdRDLb6NG+nvPgwWFHIlKritp0Tbr/ibJdO+HWq0/RSx+sO65kfpX6wxARySQZX+LvnGsbdgwieaGszHde1Ls3bLJJ2NGI1Kri9j2rVko/eBZFo0ZR1GUINGny9+Bk7hiIiGQqlZKLiPfqqzB/vm/VRCTfHX00rFgBjz4adiQiIrUm6xJ/M2tkZpua2fphxyKSU0aPhqZN4cADw45EJHxdu8K228KDD4YdiYhIrcmKxN/MiszsfDP7Dv9g72zgNzP7Lhie8VWWRDLab7/B00/DgAFQVy3nimDmS/0//BC++CLsaEREakXGJ/5mVgy8AlwNtAXmAh8G722D4a8F04lIdYwfDytXqpqPSLRBg6CoSD35ikjOyPjEHzgT6AU8D2zlnGvrnOsRPPTbEXgW2C2YTkSqY9Qo6NwZtt8+7EhEMkeLFr7q27hxsHp12NGIiNRYNiT+A/Bt+fd1zn0bPcI59z1wKPAFMDCE2ESy3+efw7RpvrRfbfeLrO2oo2DBAnjhhbAjERGpsWxI/P8BvOici9uFYjD8RUCdd4lUx6hRvjrDQF07i6xjv/1g441V3UdEckI2JP6rgPUqmaYhoPuwIlW1ahU89BAccICv1iAiaysq8h3aPfcc/Ppr2NGIiNRINiT+nwL9zCxuVmJmzYF+wIy0RiWSC557zldjOPbYsCMRyVxHHeU7uHvoobAjERGpkWxI/O8AWgAfmtkxZtbezOqbWTszOwr4IBh/R6hRimSj+++HVq1g333DjkQkc221FXTv7tv0dy7saEREqi3jE3/n3GPAdcBmwL3At8Ay4DvgfqAdcGMwnYgka+5ceOkl31Z5kbrCEKnQ0UfDl19S8PWcsCMREam2jE/8AZxzFwK7AA8CHwOzgvcHgZ7OufNDDE8kO0V6JD366HDjEMkGRxwB9etT+OL7YUciIlJtWVPM55x7H9AZV6Q2lJX5xH+vvaBt27CjEcl8668P/fpR9MRjrB7eN+xoRESqJSNL/M2s2Mw+NLPXzaxOJdO9bmbvVzSdiMR47TWYM0cP9YpUxXHHYctXUjjl47AjERGploxM/IFBQFfgZudcwmY6nXOrgBuBnVAHXiLJu/9+aNYMDj447EhEsseuu1LeZiOKnn8v7EhERKolUxP/Q4FZzrlKu0p0zr2Ef+D38JRHJZILFiyASZNg6FCoWzfsaESyhxml+/eg8IvZvsdrEZEsk6mJ//bAlCpM/xbQJSWRiOSaceNg9Wo45piwIxHJOqX77oirUwj33Rd2KCIiVZapiX9zoCpdJP4KNEtRLCK5wzmfsOyyC2y9ddjRiGSfxutRtmtnfwG9YkXY0YiIVEmmJv5/AetVYfr1AJ2BRSpR8Pks+OYbPdQrUgOlB+wCv/0GTzwRdigiIlWSqYn/XKBbFabvBqhXFZFKFD3/PjRqBP/3f2GHIpK1yrv8AzbfXNV9RCTrZGriPwXoYWaVJv9m1hXfudcbqQ5KJKst+4vCKR/DgAHQsGHY0Yhkr4ICf9fszTf9HTQRkSyRqYn/HYADHjezrRJNZGZbAo8DZcBdaYpNJCsVTZ6OrVytaj4itWHYMCgq8k3jiohkiYxM/J1z3wBXAJsBH5vZQ2Z2tJntE7yOMrOHgI+BtsDlwTwikkDh8+9Tvnkr6No17FBEst/GG8NBB8Ho0bByZdjRiIgkJSMTfwDn3BXAxYABA4D7gBeD1/3BsALgIufcVWHFKZIVPv6YwplzKd2/B5iFHY1IbjjuOFi0yPeLISKSBTI28Qdwzl0DdACuxNfh/zp4vYG/I9DBOXdteBGKZIl77sHVrUPp3irtF6k1e+8NbdroIV8RyRpFYQdQGefcj8ClYcchkrX++AMefpiyf+4A6zUIOxqR3FFY6DvCu/RSmDUL2rcPOyIRkQpldIm/iNSChx6CP/+k9KCeYUciknuOPtq38vPAA2FHIiJSKSX+IrnMObjnHujalfItNws7GpHc07o19OkDDz4Iq1eHHY2ISIWU+Ivksvfeg88+gxNPDDsSkdx1/PHwyy/w7LNhRyIiUiEl/iK57O67Yf31oX//sCMRyV19+viHfO9SdzIiktmU+IvkqkWL4PHHYfBgWG+9sKMRyV2FhXDCCfD66/D112FHIyKSkBJ/kVw1ZozvWEjVfERS75hjoE4d/0yNiEiGUuJfA2Y2yMxc8Do2wTQHmNkUMysxs2Vm9oGZDU13rJJnyst9ArLrrrDttmFHI5L7NtoI+vXzPfn++WfY0YiIxKXEv5rMbFPgDmBZBdOcAjwLbAs8hO99eBNgtJndlI44JU9NngzffafSfpF0Gj4cSkpgwoSwIxERiUuJfzWYmQGjgMVA3Pu6ZtYWuAlYAnRzzp3snDsD6Ax8D5xlZj3SE7HknXvugWbN4LDDwo5EJH9E7rDddZdvSldEJMMo8a+eEcA/gaOARPd0jwbqAnc452ZHBjrnfgOuCf5VcazUvp9+gqefhqOOgnr1wo5GJH+YwUknwf/+Bx99FHY0IiLrUOJfRWa2FXAdcJtz7q0KJv1n8P5SnHEvxkwjUnseeADKynwrIyKSXoMG+Va01LSniGQgJf5VYGZFwDhgDnBhJZN3DN5nxo5wzv2Mv1PQ2swa1GqQkt9KS+G++2DvveEf/wg7GpH806iRb0J3wgRYvDjsaERE1qLEv2ouAbYHhjnn/qpk2sbBe0mC8SUx0/3NzI43s2lmNm3hwoXVi1Ty0zPPwNy5vrqBiIRj+HDflO6oUWFHIiKyFiX+STKznfGl/Dc7595L5Wc55+51znVzznVr0aJFKj9Kcs3tt8Nmm8GBB4YdiUj+6tQJdtvNP2RfXh52NCIif1Pin4Sgis9YfLWdfyc5W8IS/Zjhie4IiFTNZ5/BlCm+tL+wMOxoRPLb8OHw/ffw6qthRyIi8jcl/slZD+gAbAWsiOq0ywGXBtPcFwy7Nfj/m+C9Q+zCzKwl0BCY55xbntrQJW/ccYdvxeeYY8KOREQOPRQ23BDuvDPsSERE/lYUdgBZYiXwQIJxO+Dr/b+DT/Yj1YAmAz2B3lHDIvaLmkak5n77DR56CAYO9O33i0i46taF446Da66BH36Adu3CjkhERCX+yXDO/eWcOzbeC3gmmGxMMOzR4P9R+AuGU4LOvAAwsw1Y0yJQ3M6/RKrswQdh+XI45ZSwIxGRiOHDfbW7O+4IOxIREUAl/injnPvBzM4BRgLTzOxRYBXQD2hNGh4SltyxatZUSudMjz+yrJx6/7kW16k9K39/C6bE716irGQ+hY1bpTBKkfxQVjKf5VNGJjVt8e6dKfzv3fy118ZQv+7fw4vadKW4fc9UhSgiEpdK/FPIOXc7cBDwBTAEOB74Bd8c6NlhxibZpXTOdMpK5scdV/DhlxT8tJjSQ3avcBmFjVtR1KZrKsITyRtFbbpW6QK69NDdsT//oujlD/8eVlYyP/GFvIhICplzLuwYpALdunVz06ZNCzsMCVmkdLFBrxHrjtx3X/jiC1+PuE6dNEcmIhVyDnbeGf74A778EgoKKj6eRbKcmU13znULOw6JTyX+Itnsm2/glVfgxBOV9ItkIjM47TR/rKppTxEJmRJ/kWx2xx1QXAzHHx92JCKSyOGHw8Ybw223hR2JiOQ5Jf4i2aqkBMaMgSOO8O2Fi0hmKi72Lfy8+KIv+RcRCYkSf5Fs9cADsHSpr0YgIpnthBP8BYCa9hSRECnxF8lGpaW+2sAee0BXtdQjkvE22gj694fRo2HZX2FHIyJ5Som/SDZ68kmYMwfOPDPsSEQkWSNGwLJlFL30QdiRiEieUuIvkm2cg5tvhn/8Aw44IOxoRCRZXbtCz54UPfUWlJWHHY2I5CH13CuSQhX2uFsFa/W6+9578OGHcOedUKBrd5GscuaZFBx2GIXvfAr/CjsYEck3yhpEUqiiHnerYq1ed//zH9hgAxg6tMbLFZE0O/hgyjdpTtGjk/3dOxGRNFKJv0iKFTZuVXs9dM6aBU89BeeeCw0b1s4yRSR9CgspPbwXxbdNhHffhZ49w45IRPKISvxFssnIkb56zymnhB2JiFRTae+dces3hJtuCjsUEckzSvxFssXvv/u2+/v3h1atwo5GRKqrXjGlB+8KkybBzJlhRyMieUSJv0i2uO8+WLYMzjgj7EhEpIZW993Vd+h1yy1hhyIieUSJv0g2WL3aV/Pp1Qt22CHsaESkppquD0OG+A69FiwIOxoRyRNK/EWywYQJMG8enHVW2JGISG0580xYsQLuuivsSEQkTyjxF8l05eVw/fWw7bbQp0/Y0YhIbdlySzjwQN8nx/LlYUcjInlAib9IpnvhBfjiC9+EpzrsEsktZ58NixbB2LFhRyIieUBZhEimu+46aNPGt+YjIrllt91gxx3h5puhrCzsaEQkxynxF8lk77wDU6f6UsE6dcKORkRqm5m/m/fdd/DEE2FHIyI5Tom/SCa7/npo3hyOOSbsSEQkVQ45BDp2hGuuAefCjkZEcpgSf5FM9dln8NxzMGIENGgQdjQikiqFhXDBBTBjhn+mR0QkRZT4i2SqG26Ahg3h5JPDjkREUm3AANhsM7j6apX6i0jKKPEXyUQ//gjjx8Pxx0PTpmFHIyKpVqeOr+v/3nvw5pthRyMiOUqJv0gmuvFG/9DfGWeEHYmIpMtRR8FGG/m6/iIiKaDEXyTT/PQT3H8/DBsGm24adjQiki716/veuV99FT76KOxoRCQHKfEXyTQ33gilpf5hPxHJLyeeCBtsoFJ/EUkJJf4imeSXX+Cee2DwYGjfPuxoRCTdGjXyLXk9/bTvsVtEpBYp8RfJJDffDKtWwYUXhh2JiIRlxAjfote114YdiYjkGCX+Ipli4UK46y448kjYYouwoxGRsDRtCsOH+5a9vv027GhEJIcUhR2ASKZaNWsqpXOm12gZZSXzKWzcKrmJb7kF/voLLrqoRp8pIjng7LPhzjvhyith7NiwoxGRHKESf5EESudMp6xkfo2WUdi4FUVtulY+4ZIlcPvt8H//B1ttVaPPFJEcsNFGvvO+hx+Gb74JOxoRyREq8RepQGHjVjToNSL1H3TrrbBsGVx8ceo/S0Sywznn+Op/V1zhLwBERGpIJf4iYVuyBG67DQ49FLbdNuxoRCRTbLghnHqqr+v/1VdhRyMiOUCJv0jYbrwRli6Fyy4LOxIRyTRnn+1b+Ln88rAjEZEcoMRfJEy//AIjR8IRR0CnTmFHIyKZpnlz37znY4/B55+HHY2IZDkl/iJhuu46WLlSpXkikthZZ8F66+k8ISI1psRfJCxz58Ldd8PQodChQ9jRiEimatoUTjsNJk6EGTPCjkZEspgSf5GwXHklOAeXXBJ2JCKS6c48Exo3hn//O+xIRCSLKfEXCcN338GDD8IJJ8Bmm4UdjYhkug02gHPPhWefhXfeCTsaEclSSvxFwnDZZVBcrF56RSR5p50GG28M55/v7xaKiFSREn+RdPviC3jkEd8+98Ybhx2NiGSLhg3h0kth6lR47rmwoxGRLKTEXyTdLrgAGjXyt+1FRKrimGNgiy38eaSsLOxoRCTLKPEXSac33/R1dC+4AJo1CzsaEck2derAVVf5O4cPPRR2NCKSZYrCDkAkb5SX+144W7f2dXVFJG+Vlcxn+ZSR1Zu5eTl1O2yKnXs6pTttSvFW/6zd4EQkZ6nEXyRdHn0Upk3zpXX164cdjYiEpKhNVwobt6r+AgoKWH38gRQs+B1uv73W4hKR3GdOLQNktG7durlp06aFHUZeipTGNeg1ouYLW7kSttzSt8M9fToUFtZ8mSKS18p23JKCmXOx2fN8c58iGcDMpjvnuoUdh8SnEn+RdLjzTpg9G268UUm/iNSKVSccBEv/8ncRRUSSoMRfJNV++83/MO+7L+y9d9jRiEiOcP9oTdl+O/vqPt9+G3Y4IpIFlPiLpNo118Dvv8MNN4QdiYjkmFXH7A9168I554QdiohkASX+Iqn07bcwciQMHQqdO4cdjYjkmqbr+x7AJ02CyZPDjkZEMpwSf5FUOvNMKC72pf4iIqlw+unQti2ccYY69RKRCinxF0mVF1+E556DSy6Bli3DjkZEclW9er4q4aefwoMPhh2NiGQwJf4iqbBqlS+F69BBnXWJSOr16we77goXXwx//BF2NCKSoZT4i6TCyJEwcybcequv6iMikkpm/nyzYAFccUXY0YhIhlLiL1Lbfv4ZLr8c9t8f9tsv7GhEJF907QrHHusvAD7/POxoRCQDKfEXqW0XXOB76r3llrAjEZF8c+21vofwk08G58KORkQyjBL/JJhZMzM71syeMrPvzOwvMysxs3fM7Bgzi7sezWwXM3vBzJYE83xqZqebmbpuzVXvvw9jxvjWfLbYIuxoRCTfNG8O110Hb70FDz0UdjQikmGU+CfncOA+YGfgA+BW4AlgW+B+4DEzs+gZzOxg4C1gd+Ap4A6gGLgFmJCuwCWNVq+GE06AVq18u9oiImE45hjYeWc4+2zfeaCISECJf3JmAgcBrZ1zA51zFzjnjga2BOYChwGHRiY2s/XxFwplQC/n3DHOuXOALsB7QD8z65/m7yCpdtttvjm922+HRo3CjkZE8lVBAdx9Nyxa5Fv5EREJKPFPgnNusnPuWedceczwX4B7gn97RY3qB7QAJjjnpkVNvwKInIWHpy5iSbsff4RLL4UDD4S+fcOORkTy3fbbw0kn+QuA//0v7GhEJEMo8a+51cF7adSwfwbvL8WZ/i1gObCLmdVNZWCSJs7BKaf4v2+/3TerJyIStiuvhBYt4MQT1aOviABK/GvEzIqAIcG/0Ul+x+B9Zuw8zrlS4AegCGif0gAlPZ56yvfQe/nlsNlmYUcjIuI1aQL/+Q989JHvW0RE8p4S/5q5Dv+A7wvOuZejhjcO3ksSzBcZ3iTeSDM73symmdm0hQsX1kqgkiJ//AEjRsB226mHXhHJPEce6fsUuegimDUr7GhEJGRK/KvJzEYAZwFfA4Nrc9nOuXudc92cc91atGhRm4uW2nbOOb7Drv/+F+rUCTsaEZG1mcE990BRERx3nNr2F8lzSvyrwcxOAW4DvgT2dM4tiZkkUqLfmPgiw3+v/egkbV5/He6917fZv/POYUcjIhJf69Zw440weTI8+GDY0YhIiJT4V5GZnQ7cDnyOT/p/iTPZN8F7hzjzFwHt8A8D675rtlq2DI491nfSdcUVYUcjIlKx446DPfaAs86Cn34KOxoRCYkS/yows/PwHXB9gk/6FySYdHLw3jvOuN2BBsC7zrmVtR6kpMf55/smPB98EOrXDzsaEZGKFRTAfffBypW+mU9V+RHJS0r8k2Rm/8Y/zDsd+JdzblEFk08EFgH9zaxb1DLqAVcF/96dqlglxd58E+68E049FXbdNexoRESSE7lDOWkSTFAH8iL5qCjsALKBmQ0FrsD3xPs2MMLWbat9tnNuNIBz7g8zOw5/ATDFzCYAS/C9/3YMhj+anuilVi1bBsccA+3bwzXXhB2NiEjVnHEGPPmkL/XfbTdf/19E8oYS/+S0C94LgdMTTPMmMDryj3PuaTPbA7gIOAyoB3wHnAmMdE73WbPSGWf4JvGmTIGGDcOORkSkaoqKYNw43wTx0UfDSy/5akAikhd0tCfBOXeZc84qefWKM99U51wf59wGzrn6zrlOzrlbnHPqQjEbTZoE998P554Lu+8edjQiItXzj3/4jr1efdVXWxSRvKHEXyQZv/ziW/Hp0kWt+IhI9jv+eOjTxxdkfP112NGISJoo8RepjHP+lviyZfDww1BcHHZEIiI1YwYPPOCrLA4eDKtXhx2RiKSBEn+Rytx9N7z4ou8AZ+utw45GRKR2bLyx74Rw2jS46KKwoxGRNFDiL1IB+26+75m3d284+eSwwxERqV2HHgonnugLNl58MexoRCTFlPiLJLJ8BXUvHwXNmsGYMf7WuIhIrvnPf6BzZxgyBObPDzsaEUkhJf4i8ThH8c2PYj8tgvHjYcMNw45IRCQ16teHRx+F5cth0CAoU8NzIrlKib9IPPffT9Hk/7H6qD5qulNEct+WW8Jdd/k+Sq68MuxoRCRFlPiLxPr0UxgxgrJuHSkdsFfY0YiIpMfQob66zxVX+I69RCTnqOdeyTmrZk2ldM706s38x5/UG34zNCzmr1P2okA9WopIPrn7bvjkExgwwLf207592BGJSC1SViM5p3TOdMpKqvGAWlk5da8ciy38nVVXHEPBZh0oatO19gMUEclUDRrAU0/5/ksOOcTX+xeRnKESf8lJhY1b0aDXiKrNdP75MO1ruO8+6h17bGoCExHJdO3b+0YN+vSB446Dhx5Sq2YiOUIl/iIAjz0G11/v27NW0i8i+a53b/+Q7yOPwK23hh2NiNQSJf4iM2bAUUdBz55w221hRyMikhkuuMBX9zn7bHjhhbCjEZFaoMRf8tv8+bD//tC0KUycCMXFYUckIpIZCgpg3DjYbjs44gjf4pmIZDUl/pK/li2DAw6AkhJ4/nnYeOOwIxIRySwNG8Kzz8L66/vz5S+/hB2RiNSAEn/JT2Vl0L8/fPYZPP64765eRETW1aqVT/4XL4aDD4a//go7IhGpJiX+kn+cg9NP96X8d9zhH2ITEZHEdtgBHn4YPvoIBg70hSciknWU+Ev+uf56n/CfdZZvxUdERCrXt69v4eepp2D4cF+IIiJZRe34S365917fUsWAAXDDDWFHIyJSI2Ul81k+ZWSNllHUpivF7XsmN/GIEfDrr3DNNbDhhnDVVTX6bBFJLyX+kj8ef9yX8PfpA6NH+xYrRESyVFGbrjCnZssoK5kPc0g+8Qef7C9YAFdf7ZP/EVXsLFFEQqPEX/LDK6/4eqk9e/oLgDp1wo5IRKRGitv3rFrCHke17haYwd13+4d9TzsNmjSBIUNqFIeIpIeKPCX3vfmm74Rm6619yxQNGoQdkYhIdisq8r36/utfMGyY/1tEMp4Sf8ltb77pq/a0bQsvv+xLpkREpObq1YNnnoE99oDBg+HRR8OOSEQqocRfcld00j95Mmy0UdgRiYjklgYN/J3Unj19dconngg7IhGpgBJ/yUkFn3ynpF9EJB3WW8/3i7Lzzr5jRJX8i2QsJf6Scwre/4K6598Dm22mpF9EJB0aNYIXX4QePeDII+G++8KOSETiUOIvueWRR6h78f24Nhv5qj5K+kVE0mP99eGll3xv6McfDzfdFHZEIhJDib/kjjvvhEGDKO/UnhW3nAotWoQdkYhIfmnQAJ5+Gg4/HM45By6+WD38imQQteMv2c85uPRSuPJKOOggVp68OxSrnX4RkVAUF8P48f4OwNVXw7x5vtf04uKwIxPJeyrxl+y2YgUMGuST/qOP9i1KKOkXEQlXYaGv53/ZZTBmDOy3H/z+e9hRieQ9Jf6SvRYuhL328h3HXHMN3H+/71RGRETCZ+bvxo4eDW+95Zv8/PHHsKMSyWtK/CU7ffWVbz1i+nR47DG44AL/IyMiIpll6FDfgeL8+bDTTv4iQERCocRfss/Eif7HY+lSeOMN/xCZiIhkrn/+E957z/ee/q9/we2366FfkRCoXoTUilWzplI6Z3qtLKuoTVeK2/dcd0RpKVx4Idx4I3Tv7i8AWrWqlc8UEZEU22or+PBDGDwYRozwd2zvvhvq1w87MpG8oRJ/qRWlc6ZTVjK/xsspK5kf/wLil19gn3180n/SSb6NfiX9IiLZpXFj39xn5KHfHj3gm2/Cjkokb6jEX2pNYeNWNOg1okbLWD5l5LoDn38ejjoKli3zD4kNHVqjzxARkRAVFPiHfnfcEYYMga5dfT8sQ4boWS2RFFOJv2SuFSv87eADDoCWLWHaNCX9IiK5ok8fmDHDXwAMG+arAP3xR9hRieQ0Jf6SmaZP9w/w3n47nHYafPABbL112FGJiEhtatUKXnsNrrjCd/q17bbwyithRyWSs5T4S2ZZtZo69z0LO+/s2+l//nm49VaoVy/syEREJBUKC+Hf/4apU6FhQ9h3XzjuOCgpCTsykZyjxF8yx9Sp1Dv2Buo88pqv6/nll/5WsIiI5L7u3eHjj+G88+DBB33p/4svhh2VSE7Rw70SvsWL4eKL4b//hQ2bsPzSw6FXF5gxrlqLKyuZT2FjtfgjIpIutdWkc1GbrhRfdx0ceqiv99+nj//7llugTZuaByqS51TiL+EpLYW77oIttoD77oNTT6X0lUeh1641Wmxh41YUtelaS0GKiEhlaqNJ57Wac95pJ1/6f801vtR/yy3h6qth5cpaiFYkf6nEX8Lx5pv+od0ZM2DPPeG226BTJ4qBYvYOOzoREamimjbpvE5zznXrwgUXwMCBcOaZ/s7w6NFwww3Qt6+a/hSpBpX4S3p9/LG/ddurF/z2Gzz+OLz+OnTqFHZkIiKSidq08T21v/wyFBX5qj+77OILkESkSpT4S3rMnAn9+8MOO8D778P118NXX0G/fiq1ERGRyu2zD3z2Gdx/P8yd6wuQ9t8fPvkk7MhEsoYSf0mtzz/3nbJsvTU895y/VTtrFpx7LjRoEHZ0IiKSTYqK4Jhj4NtvfZWf996D7bf3HT2++27Y0YlkPCX+khrvvgsHHuir8Dz1lK/P//33cOWV0KRJ2NGJiEg2q18fzjnHFyRddZXv5LFnT38X4JVXwLmwIxTJSHq4V2rP6lLf8+Idd/jEv1kzuPxyOOUUaNo07OhERCSOspL56z5YW41lhNKMcpMmcNFFcPrpvnW4m27yHYBts43/7Rk82HcKJiKASvylNsydS50Hnqf+EZfCgAGwYIFvpefHH+GSS5T0i4hkqKI2XWslYQ+9GeWGDX3y//33MGqUbxFo+HBo1cq3CDRzZnixiWQQc7odltG6devmpk2bFnYY61q+HCZNgrFj4ZVXcM5R1mMbii65CfbeGwp0TSkiIsmL3HWoSZOgf3PO1/+//XbfIlBpqW8JaOhQOOIIaNy45p8hcZnZdOdct7DjkPiU+Ge4dCT+Sfe4WFZOwWffU/TyRxS+9Qm2fCXlG21A2V7dWLl7ewo6bF07J2wREck7y6eMrLUqQ0VtulLcvqf/5+ef4eGH/Z2AL7+EevV8PwCDBsFee/m7A1JrlPhnNtXxl797XIx7sl1dSsHH31L49qcUTf0U+20Zrn5dyvboQum+O1LeeXMoKKAA1FuuiIhUW1GbrjCn5sspK5kPc1iT+LdsCWefDWedBdOn+07AHnkEJkyA9df3DVEcdph/NkCtzUmOU4l/hktHif86t1d//RVeew1eeME3wfnHH7Deer7jrUMOgYMO0slRREQyUlJVhlau9J1HPvEEPP00LFnif9f23Rf228+/t2mTnoBzjEr8M5tK/AVWrqLgs1nwwrm+GbQZM/zwZs18B1uHHOJvh9arF26cIiIitaFuXV+Y1acP3HOP7wX4iSfg+ed9E9QAW20FvXv759Z69vR3B0SynEr8M1zKS/y/+grXZTts1WqoU8ef3PbZx5/ott8eCgtT99kiIiK1rEYPCTsHX31F6cN3Y6+8SsGM77HVpbgCw23eirJO7SnvvDllndpD0+QuBNZ63iAPqMQ/s6nEP99tsQVlR/SmfMdOFB91ga/SIyIiko/MYOutWbX3FpTt1IDCui0o+OIHCj/9noLPZlH0/HvYk28BUN6yGeUdNqW8Q2vKO7ahfIvWsP7afQas87yBSMiU+KeYmbUGrgB6A82An4Gngcudc7+FGJpXVETR2GfCjkJERCSjFDZu5e8a9I4auGoV/O9/8PbbFHz0EQXTp8Obz60Z364dbLut70Bsm234a/lcXN1VaY9dJBEl/ilkZpsD7wIbApOAr4GdgNOA3mbW0zm3OMQQRUREJFnFxdC9u39FLFniLwamTfPvX3wBL74IpaXUB5wZtLsbOnaE9u3XfVVypz3pJreTUNCkFfW6HFYry5LspMQ/te7CJ/0jnHO3Rwaa2X+AM4CrgRNDik1ERERqqmlT3wDGXnutGbZ6NXz7LSsfvwmb/TPFfzbyvQq/+y6UlKw9/4Yb+haENtnE9zQceQX/l856m7KyJRQ2aZ3e7yU5SYl/igSl/fsAs4E7Y0ZfChwPDDazs5xzf6Y5PBEREUmVOnVg660p26ML7NGF4siDxs7Bb7/BrFlrv+bOhR9+gHfe8XcQojQAXGEB1rwFNG8e/9Wsme+NeP31/Sv6b3VQJlGU+KfOnsH7K8658ugRzrmlZjYVf2HQHXg93cGJiIhImpn5OwRNm0K3BA3frFgBP/0E8+fDTz+x6q0JWMmf1GnYDhYt8q+vvvLvixdDWVnFn1m37pqLgEMOgRtvrP3vJVlDiX/qdAzeZyYY/y0+8e+AEn8REZFaU1Yy/+9mPas7f9ze7NMdy0ZQtk8HChu3ok685knLy33VocWLfWebJSX+PdHfrVVdKN8p8U+dxsF7SYLxkeFNYkeY2fH4qkC0Uc+BIiIiSStq0xXm1GwZhY1b+eVkeiwFBbDBBv4lkgQl/hnIOXcvcC/4DrxCDkdERCRrFLfvmTHt5mdSLCIABWEHkMMiJfqNE4yPDP899aGIiIiISL5T4p863wTvHRKM3yJ4T/QMgIiIiIhIrVHinzpvBO/7mNla69nMGgE9geXA++kOTERERETyjxL/FHHOfQ+8ArQFTo4ZfTnQEBinNvxFREREJB30cG9qnQS8C4w0s38BXwE749v4nwlcFGJsIiIiIpJHVOKfQkGpfzdgND7hPwvYHLgN6O6cWxxedCIiIiKST1Tin2LOubnAUWHHISIiIiL5TSX+IiIiIiJ5QIm/iIiIiEgeUOIvIiIiIpIHlPiLiIiIiOQBJf4iIiIiInlAib+IiIiISB5Q4i8iIiIikgeU+IuIiIiI5AEl/iIiIiIieUCJv4iIiIhIHlDiLyIiIiKSB8w5F3YMUgEzWwj8GHYceaw5sCjsIKTWabvmLm3b3KTtmj02c861CDsIiU+Jv0gFzGyac65b2HFI7dJ2zV3atrlJ21Wkdqiqj4iIiIhIHlDiLyIiIiKSB5T4i1Ts3rADkJTQds1d2ra5SdtVpBaojr+IiIiISB5Qib+IiIiISB5Q4i8iIiIikgeU+IuIiIiI5AEl/pIVzGy2mbkEr19ipt3CzM4zs8lmNtfMVpnZr2Y2ycz2rORzhprZh2a2zMxKzGyKmR1QwfSFZnaGmX1qZn+Z2RIze8HMdqlgnvpmdrmZfWNmK8xsgZk9ZmZbVX3NZL+qbNsE898fNf0/EkyTlu1kZk3N7NbgO600s5/M7EEza53c2sgd1dmuwXY61szeMrPfgm01y8weNbMOCebRMZtGVd2uZlbXzE4OttGiYDt9ZWYjzWyzCj5H21UkBfRwr2QFM5sNNAFujTN6mXPupqhpJwBHAF8C7wBLgI7AQUAhcJpzbmScz7gJOAuYB0wEioH+QFPgVOfcHTHTG/AY0A/4Bng2mPYIoB5wmHNuUsw8dYHXgZ7ANGAysClwOLAK+Kdz7oOkVkqOqMq2jTPvgcAzwDJgPWAL59x3MdOkZTuZWTPgXaBDMP1HwJbAwcACoIdzblZF6yKXVHW7mtl6wCTgn8AnwJvACqAVsBtwinPuuZh5dMymWRXPxUXAFPy6+xp4DVgJ7AjsDpQAuzjnvoz5DG1XkVRxzumlV8a/gNnA7CSnHQZsH2f4HvgT+kqgZcy4XQAHfAdsEDW8LbAYn4C0jZnnyGCeqUC9qOE7Bp+xAGgUM88FwTyPAwVRww8Ohn8RPTwfXlXZtjHztQB+ASbgkwsH/CPOdGnZTsB/g3E3xwwfEQx/Kex1ncnbFXg4WE8nJBhfJ+Z/HbMZvl3xSbTDJ/yxx8vlwbgHtV310it9r9AD0EuvZF7VTQ7jLOeV4KR+WMzwscHwo+LMc0Uw7vKY4W8Fw/eMM886ywMM+DEY3i7OPAmXl8uv6m5b4Cl84t+MihP/lG8n/N2G5fg7D7EJRkHwHR3QPuz1nYnbFdghWD8TqrB8HbOZv13PC9bPGRVs82e1XfXSK30v1fGXbFLXzAaZ2YVmdpqZ7WlmhVVcxurgvTRm+D+D95fizPNizDSYWT18ydRy4O1k5gE2B9oAM51zPyQ5T76o0rY1s2FAX3zp8OIKpkvXduoO1AemOueWRk/snCsHXg7+rfAZkxyU7HYdELyPN7PGwTwXmNnxluC5DXTMhinZ7fpF8L6fmcXmG5H6+q/FDNd2FUmhorADEKmCjYFxMcN+MLOjnHNvVjZz8CDZv/A/EG9FDW+Ir0e8zDn3c5xZvw3eox8u3Bz/vMAs51zsRUSieToG7zMThBhvnnyR9LYNtuNtwEMupt5uHOnaTtq28SW7XXcM3jcDvsffxYlwZnY3MMI5VwY6ZjNAstv1eeBJ4FDgMzN7DV/dsiuwK3A7cGdkYm1XkdRTib9ki1H4pH1joCHQCV+nui3wopltV9HMwYNcDwN1gcucc79FjW4cvJckmD0yvEkI8+SDpLdtUGo4Bl+lZkQSy9a2DU9VjtkNg/f/4KttbQU0AvbCXwicBPw7anpt1/AkvV2dcw7/wO3l+GR7BHA2/s7XW8AjMcm6tqtIiinxl6zgnLvcOTfZOferc265c+5z59yJ+EShPnBZonmDW9Dj8K03PAokbCVG0q+K2/YM/EPax8VcvEmGqeJ2jfwWfQ0c4Zz72jm3zDn3Oj5xLAfONLPidH4HWVdVtmtQDedRfAs9JwMt8Ul3H/zdnbfM7OB0fweRfKbEX7LdPcH77vFGBkn/Q/jWJR4DBgWlUNEipTuNiS8y/PcQ5slna21b8+24Xw2Mcs69kOQytG0zT7xj9vfg/dlIdZ4I59wM4Af8HYBI++rarpkn3nY9H3/uvcg591/n3C/OuT+ccy/iL+jq4KvtRWi7iqSYEn/JdguD94axI8ysDjAe3/7zI8CAeHVAnXN/AvOB9cysZZzP2CJ4j64P+j1QBrQP2qpOZp5vgvdE9UbjzZPPYrft1viqWkfFdhyEvwsA8G0wrG/wf7q2k7Zt8uIds5H193uCeSJ3d+qDjtkMFW+7Rh7gfSN24uCC7jdgs6APDG1XkTRQ4i/ZrnvwvlbHSEGVgMfxpU1jgcGxJYkxJgfvveOM2y9mGpxzK/CdNTXAdy5U6Tz4H6g5QAcza5fkPPksdtvOBh5I8Ir0GPp48P9sSOt2eh/4C+hpZo2iJw6eS9gn+HedBCgPxTtmIy27bBs7cfB8TiQRmx01SsdsZom3XesG7y1iJw62a+RYWRU1SttVJJXCbk9UL70qe+Fv7zeMM7wtvvUFB1wYNbwuvjUJB9xPEp2wkLpOY9aPmUedxtRg21awnCnUrAOvGm8n1IFXtbcrvpR4Pj4B3ClmnquC6SfHDNcxm/nb9S7WdOBVN2aea4NxH2q76qVX+l7mXGx1Z5HMYmaX4R8Oewvf6cpSfBNu++O7Y38BOMQ5tyqYfhS+995FrPnhiTXFOTcl5nNuBs5k7W7ij8A3LVhZN/Ff47uJb0bl3cRPxv+4TcN3Gd+GPO0mvqrbtoLlTMFX99nCOfddzLi0bKegusK7+OoDk4EP8YnSwfjEYxfn3PdJrZgsV53tamZ7A88F/z6JvxDYGd/s4wJgV+dcpJnFyDw6ZtOoGufiVvi7Ya3xd2teIrgzBuwU/P0v59x7MZ+j7SqSKmFfeeilV2UvfEI3Hn9C/x3fCddC4FVgCPgL2Kjpp+CT/YpelyX4rGHAR8Cf+B+1N4EDKoitCN/SzGf4H7Hf8D9+u1QwTwN8D5Tf4kujFuJLnbYOe11n+ratYDmRbb5OiX86txPQFP+w4o/45OFn4EGgddjrOhu2K7AdPtFbGKy/OcDdwCYVfJaO2QzervhqPjcBX+FL61cFx8coYEttV730Su9LJf4iIiIiInlAD/eKiIiIiOQBJf4iIiIiInlAib+IiIiISB5Q4i8iIiIikgeU+IuIiIiI5AEl/iIiIiIieUCJv4iIiIhIHlDiLyIiGcPMXNATs4iI1DIl/iIiSQgS0opew8KOUUREpCJFYQcgIpJlLk8w/JN0BpHDtgKWhx2EiEguMudc2DGIiGQ8M3MAzjkLOxYREZHqUFUfEZFaYmZtg2o/o82sg5k9amYLzKzczHpFTbevmb1gZovMbKWZfW9mN5pZkwTLbW1mI83sWzP7y8yWmNmHZvbvmOkS1o8PYnJm1jbOuJ3NbKKZ/WJmq8xsrpn918w2iTPtlGA5RWZ2YRDTymCe682sOMHnb2lmD5rZ7GD6BWb2tpkNr+w7mNkmZnaJmU2NivEnM3vEzLaO93kiIrIuVfUREal9mwMfADOBh4H6wB8AZnYpcBmwBHgOWAB0Bs4G+phZD+fcH5EFmVk34GWgKfAW8CTQANg6WM6VNQnUzI4G7gVWAs8Ac4EtgGOBA82su3NuTpxZHwF2A14Mvlsf4FxgQ+ComM/YH3gcqAu8BIwHmgDbBfPcXUmYuwPnA28ATwDLghj7AQeZWU/n3IyqfG8RkXykxF9EpArM7LI4g2c750ZH/b8rcK1z7sKYeffEJ+vvAX2cc79HjRsGjMI/Q3BGMKwYnzA3BQY65x6JWV7rGn6XDsA9wGxgD+fc/Khx/wJeAW4DDokz++bANs65JcH0FwEzgCFmdoFz7pdgeHP8RUIR8E/n3JvV+A6TgY2cc0tj5t0OmApcB+yXxHJERPKaEn8Rkaq5NM6wN4HRUf//SvyHgEcE78dFJ/0AzrnRZnYaMJAg8QcOBNoCz8Qm/cE886oSeBzDgTrAadFJf7Ds183sGXypf6PYpBs4L5L0B9P/aWYPA5cA3fB3MwCGAusDI2OT/mS/g3NuQYLhM8xsMrCPmdVxzq2ubFkiIvlMib+ISBUk+XDvDOfcyjjDewCrgcPN7PA444uBFmbWzDm3GOgeDH+xetFWqkfwvoeZ7Rhn/IZAIdABmB4zblqc6ecG7xtEDauV7xBUFzoRf1HRnHV/v5oDP9fkM0REcp0SfxGR2vdLguHN8OfdeHcNoq0HLMbXgweYn3jSGmkWvJ+TRDxrib1jESgN3gujhjUJ3qv9HYI7IbcCvwGvAnPwTX46oC/+WYG61V2+iEi+UOIvIlL7ErWTXAIUOOeaJrmc34P3VlX43ETn9SYJ4gFoHP1AcS37PXhvBXxW1ZnNrAj/XMQvwA7OuZ9jxveIN5+IiKxLzXmKiKTP+8AGZrZNFaaH5B9c/Q3YNHagmRUCXSpY/m5JLr86qvodYjXHX7S8GyfpXw/YofqhiYjkFyX+IiLpc0vwfl+CNvIbmln3qEHP4lvcOcjMjowzfWyLOB8Cbcxsn5jhFwObxYnnDvwzB7cELfzELr/YzGp6UTAG39zncDPbPc5nVNaqzwJ8tZ6uQaIfma8OvsWh5jWMT0Qkb6iqj4hImgQt5ZwPXAt8a2YvAD/g69BvBuwBvAP0DqZfFTwE/ArwiJmdgC9BrwdsBfyLtc/jNwH7ApPM7FF8XwG7AO2AKUCvmHi+DtrxfxD4wsxewvc9UAdog78TsBDYsgbfeZGZDQAmAm+Y2YvAp/iWfjrj71C0q2D+cjMbiW/H/zMzm4R/CHpPfDOnbwR/i4hIJZT4i4ikkXPuejObim/ac1fgYHxd+/n4jrQeiZl+mpl1wSe+++ET+aXAd/imM6Onfd3M+gbD+wN/4h+GPYL4zYvinHvIzGYAZ+ET6H2C+X7CJ+uP1sJ3fj7oiOw8/MXKPvhqSV/jL4Iq82/8BcixwAn49fUq/k5G3O8lIiLrMucSPYMmIiIiIiK5QnX8RURERETygBJ/EREREZE8oMRfRERERCQPKPEXEREREckDSvxFRERERPKAEn8RERERkTygxF9EREREJA8o8RcRERERyQNK/EVERERE8sD/A3m8qjgfSDnNAAAAAElFTkSuQmCC\n", + "text/plain": [ + "<Figure size 720x576 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Definir la función de ajuste gaussiano\n", + "def gaussian(x, amplitude, mean, stddev):\n", + " return amplitude * np.exp(-(x - mean)**2 / (2 * stddev**2))\n", + "\n", + "# Ajustar la curva gaussiana a los datos\n", + "popt, pcov = curve_fit(gaussian, histo['Frecuencia'], histo['counts'], p0=[150, 55000, 2345], maxfev=10000, gtol=1e-3)\n", + "\n", + "# Generar el histograma\n", + "plt.figure(figsize=(10, 8))\n", + "plt.step(histo['Frecuencia'], histo['counts'], color='#F2AB6D', label='Datos')\n", + "\n", + "# Generar los valores de x para el ajuste\n", + "x_fit = np.linspace(min(histo['Frecuencia']), max(histo['Frecuencia']), 800)\n", + "\n", + "# Calcular los valores ajustados de y usando la función de ajuste gaussiano y los parámetros optimizados\n", + "y_fit = gaussian(x_fit, *popt)\n", + "plt.plot(x_fit, y_fit, 'r-', label='Ajuste gaussiano')\n", + "\n", + "# Configurar tÃtulos y etiquetas de los ejes\n", + "plt.title('Histograma de frecuencia del flujo de rayos cósmicos para 0 grados', fontsize=22)\n", + "plt.xlabel('Frecuencia')\n", + "plt.ylabel('Conteos')\n", + "plt.legend()\n", + "\n", + "# Mostrar el histograma y el ajuste\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 276, + "id": "8fec24f3-1c87-4f6b-89a0-a8f61056a389", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Parámetros óptimos:\n", + "Amplitude: 103.47607714214499\n", + "Mean: 54682.13882433727\n", + "Stddev: 1380.7345620267724\n" + ] + } + ], + "source": [ + "print(\"Parámetros óptimos:\")\n", + "print(\"Amplitude:\", popt[0])\n", + "print(\"Mean:\", popt[1])\n", + "print(\"Stddev:\", popt[2])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 277, + "id": "f1872542-8fa3-451c-a7a4-c17852f805e9", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_csv(\"/home/laurab/Descargas/datosCosmicos.txt\", sep=\"\\t\")" + ] + }, + { + "cell_type": "code", + "execution_count": 278, + "id": "368e8a36-557d-4144-b3c7-5c067de000e1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "<class 'pandas.core.frame.DataFrame'>\n", + "RangeIndex: 6 entries, 0 to 5\n", + "Data columns (total 3 columns):\n", + " # Column Non-Null Count Dtype\n", + "--- ------ -------------- -----\n", + " 0 angulo 6 non-null int64\n", + " 1 flujo 6 non-null int64\n", + " 2 error 6 non-null int64\n", + "dtypes: int64(3)\n", + "memory usage: 272.0 bytes\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 279, + "id": "2f48cd41-fa13-42e8-b7ba-f0e97d30096b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<div>\n", + "<style scoped>\n", + " .dataframe tbody tr th:only-of-type {\n", + " vertical-align: middle;\n", + " }\n", + 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"</div>" + ], + "text/plain": [ + " angulo flujo error\n", + "0 0 55100 2345\n", + "1 15 54920 2355\n", + "2 30 53366 2523\n", + "3 45 47550 2416\n", + "4 60 47350 2513" + ] + }, + "execution_count": 279, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 286, + "id": "fe6bf50f-0781-4e95-98a4-bb0b793fcaf6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#plt.plot(df[\"angulo\"], df[\"flujo\"])\n", + "plt.errorbar(df[\"angulo\"], df[\"flujo\"], df[\"error\"], capsize = 3, fmt=\"ob\")\n", + "plt.xlabel(\"Ãngulo\")\n", + "plt.ylabel(\"Flujo\")\n", + "plt.title(\"Gráfico de Angulo contra Flujo con errores en cada punto \",fontsize=18)\n", + "plt.grid()" + ] + }, + { + "cell_type": "code", + "execution_count": 288, + "id": "fdbeac4a-7e5e-40b4-abf3-41cec72be2cd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "model1 = np.poly1d(np.polyfit(df[\"angulo\"], df[\"flujo\"], 3))\n", + "\n", + "polyline = np.linspace(1, 75, 100)\n", + "plt.errorbar(df[\"angulo\"], df[\"flujo\"], df[\"error\"], capsize = 3, fmt=\"ob\")\n", + "\n", + "# Añadir lÃneas polinomiales ajustadas al diagrama de dispersión \n", + "plt.plot(polyline, model1(polyline), color='red')\n", + "plt.xlabel(\"Ãngulo\")\n", + "plt.ylabel(\"Flujo\")\n", + "plt.title(\"Gráfico de arrelgo plonomial de grado 3 para la grafica de Angulo contra Flujo \",fontsize=18)\n", + "plt.grid()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "530b88ce-2017-448f-a5f5-e000999fc36b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "adce8647-c62b-45d9-be0f-2c16a0322410", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b88579ea-b182-4d28-a3db-1057bb893c29", + "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": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}