diff --git a/RayosCosmicos.ipynb b/RayosCosmicos.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "1e9e0f71",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import os\n",
+    "\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "054e11a4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.rc('axes', labelsize=20)\n",
+    "plt.rc('xtick', labelsize=20)\n",
+    "plt.rc('ytick', labelsize=20)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "235c5c85",
+   "metadata": {},
+   "source": [
+    "### Lectura de los datos\n",
+    "\n",
+    "- Datos obtenidos para el flujo de rayos cósmicos (muones) usando los equipos CAEN.\n",
+    "- En este caso tenemos dos tipos de datos, sin el centellador y con él."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "73c4c6ff",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/home/christian/MEGA/PostDoc_UIS/Conga_2022/Notebooks_CONGA/RayosCosmicos'"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#A partir de aquí python sabe en que carpeta se encuentran los datos\n",
+    "os.chdir(\"/home/christian/MEGA/PostDoc_UIS/Conga_2022/Notebooks_CONGA/RayosCosmicos/\")\n",
+    "os.getcwd()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "18a64f20",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Lectura de los datos\n",
+    "ds=pd.read_csv(\"RayosCosmicos_Treeshold_ConCentellador.tmp.txt\", sep=\"\\t\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "4bd27abe",
+   "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>Threshold [mV] - Scintillator</th>\n",
+       "      <th>Frequency  [kHz] - Scintillator</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-7</td>\n",
+       "      <td>18,7567</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>-9</td>\n",
+       "      <td>10,03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-11</td>\n",
+       "      <td>5,6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-13</td>\n",
+       "      <td>3,39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-15</td>\n",
+       "      <td>1,74333</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Threshold [mV] - Scintillator Frequency  [kHz] - Scintillator\n",
+       "0                             -7                         18,7567\n",
+       "1                             -9                           10,03\n",
+       "2                            -11                             5,6\n",
+       "3                            -13                            3,39\n",
+       "4                            -15                         1,74333"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ds.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "57e0f701",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 24 entries, 0 to 23\n",
+      "Data columns (total 2 columns):\n",
+      " #   Column                           Non-Null Count  Dtype \n",
+      "---  ------                           --------------  ----- \n",
+      " 0   Threshold [mV] - Scintillator    24 non-null     int64 \n",
+      " 1   Frequency  [kHz] - Scintillator  24 non-null     object\n",
+      "dtypes: int64(1), object(1)\n",
+      "memory usage: 512.0+ bytes\n"
+     ]
+    }
+   ],
+   "source": [
+    "ds.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a6a7ae18",
+   "metadata": {},
+   "source": [
+    "### Relación entre el threeshold y la frecuencia de conteo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "15d0c568",
+   "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": [
+    "from matplotlib.ticker import FormatStrFormatter\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10, 8))\n",
+    "#plt.figure(figsize=(10, 8))\n",
+    "ax.plot(ds[\"Threshold [mV] - Scintillator\"], ds[\"Frequency  [kHz] - Scintillator\"], '--*', color=\"b\", linewidth=1)\n",
+    "ax.invert_xaxis()\n",
+    "ax.invert_yaxis()\n",
+    "plt.xlabel(\"Threshold [mV]\")\n",
+    "plt.ylabel(\"Frequency  [kHz]\")\n",
+    "plt.grid()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "584d870b",
+   "metadata": {},
+   "source": [
+    "### Histogramas del flujo de muones con y sin centelladores"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "59c2ac01",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Lectura de los datos\n",
+    "dh1=pd.read_csv(\"RayosCosmicos_Conteo_SinCentellador.tmp.txt\", sep=\"\\t\")\n",
+    "dh2=pd.read_csv(\"RayosCosmicos_Conteo_ConCentellador.tmp.txt\", sep=\"\\t\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "0f91788c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 40 entries, 0 to 39\n",
+      "Data columns (total 2 columns):\n",
+      " #   Column                            Non-Null Count  Dtype  \n",
+      "---  ------                            --------------  -----  \n",
+      " 0   Frequency [Hz] - NO Scintillator  40 non-null     float64\n",
+      " 1   Counts - NO Scintillator          40 non-null     int64  \n",
+      "dtypes: float64(1), int64(1)\n",
+      "memory usage: 768.0 bytes\n"
+     ]
+    }
+   ],
+   "source": [
+    "dh1.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "03755b1c",
+   "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": [
+    "plt.figure(figsize=(10, 8))\n",
+    "plt.step(dh1[\"Frequency [Hz] - NO Scintillator\"], dh1[\"Counts - NO Scintillator\"], '--b', linewidth=3)\n",
+    "plt.xlabel(\"Frequency [Hz]\")\n",
+    "plt.ylabel(\"Counts\")\n",
+    "plt.title(\"Conteo sin centellador\", fontsize=22)\n",
+    "plt.grid()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "272b4233",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 40 entries, 0 to 39\n",
+      "Data columns (total 2 columns):\n",
+      " #   Column                         Non-Null Count  Dtype  \n",
+      "---  ------                         --------------  -----  \n",
+      " 0   Frequency [Hz] - Scintillator  40 non-null     float64\n",
+      " 1   Counts - Scintillator          40 non-null     int64  \n",
+      "dtypes: float64(1), int64(1)\n",
+      "memory usage: 768.0 bytes\n"
+     ]
+    }
+   ],
+   "source": [
+    "dh2.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "422b7e43",
+   "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": [
+    "plt.figure(figsize=(10, 8))\n",
+    "plt.step(dh2[\"Frequency [Hz] - Scintillator\"], dh2[\"Counts - Scintillator\"], '--b', linewidth=3)\n",
+    "plt.xlabel(\"Frequency [Hz]\")\n",
+    "plt.ylabel(\"Counts\")\n",
+    "plt.title(\"Conteo con centellador\", fontsize=22)\n",
+    "plt.grid()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0c9bb2cc",
+   "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": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/RayosCosmicos_Conteo_ConCentellador.tmp.txt b/RayosCosmicos_Conteo_ConCentellador.tmp.txt
new file mode 100755
index 0000000000000000000000000000000000000000..b0043a49e623673699c5458313f7d2d7f44a683c
--- /dev/null
+++ b/RayosCosmicos_Conteo_ConCentellador.tmp.txt
@@ -0,0 +1,41 @@
+Frequency [Hz] - Scintillator	Counts - Scintillator
+46792.9	1
+47578.8	0
+48364.6	0
+49150.4	2
+49936.2	3
+50722.1	1
+51507.9	0
+52293.8	0
+53079.6	0
+53865.4	0
+54651.2	1
+55437.1	0
+56222.9	0
+57008.8	0
+57794.6	1
+58580.4	1
+59366.2	5
+60152.1	5
+60937.9	10
+61723.8	26
+62509.6	43
+63295.4	60
+64081.2	104
+64867.1	125
+65652.9	129
+66438.7	136
+67224.6	139
+68010.4	148
+68796.2	128
+69582.1	106
+70367.9	94
+71153.7	68
+71939.6	42
+72725.4	49
+73511.2	30
+74297.1	29
+75082.9	27
+75868.7	9
+76654.6	6
+77440.4	6
diff --git a/RayosCosmicos_Conteo_SinCentellador.tmp.txt b/RayosCosmicos_Conteo_SinCentellador.tmp.txt
new file mode 100755
index 0000000000000000000000000000000000000000..9f97e61f85e13493c43e8534f5e13501f97ea85b
--- /dev/null
+++ b/RayosCosmicos_Conteo_SinCentellador.tmp.txt
@@ -0,0 +1,41 @@
+Frequency [Hz] - NO Scintillator	Counts - NO Scintillator
+18008.3	2
+18225	3
+18441.7	2
+18658.3	7
+18875	26
+19091.7	25
+19308.3	41
+19525	50
+19741.7	82
+19958.3	79
+20175	89
+20391.7	83
+20608.3	95
+20825	109
+21041.7	102
+21258.3	78
+21475	74
+21691.7	79
+21908.3	51
+22125	53
+22341.7	56
+22558.3	48
+22775	40
+22991.7	35
+23208.3	43
+23425	28
+23641.7	27
+23858.3	16
+24075	17
+24291.7	11
+24508.3	7
+24725	1
+24941.7	3
+25158.3	1
+25375	1
+25591.7	3
+25808.3	0
+26025	0
+26241.7	1
+26458.3	2
diff --git a/RayosCosmicos_Treeshold_ConCentellador.tmp.txt b/RayosCosmicos_Treeshold_ConCentellador.tmp.txt
new file mode 100755
index 0000000000000000000000000000000000000000..c53686c4bbafb0a393a3a6a3265868615ccd06bd
--- /dev/null
+++ b/RayosCosmicos_Treeshold_ConCentellador.tmp.txt
@@ -0,0 +1,25 @@
+Threshold [mV] - Scintillator	Frequency  [kHz] - Scintillator
+-7	18,7567
+-9	10,03
+-11	5,6
+-13	3,39
+-15	1,74333
+-17	0,793333
+-19	0,496667
+-21	0,236667
+-23	0,15
+-25	0,1
+-27	0,0433333
+-29	0,02
+-31	0,00666667
+-33	0,01
+-35	0,00666667
+-37	0,00333333
+-39	0,00666667
+-41	0,00333333
+-43	0,00333333
+-45	0,00333333
+-47	0,00666667
+-49	0,00333333
+-57	0,00333333
+-69	0,00333333