diff --git a/icaro/analysis/monitoring/MCTruthMonitor.ipynb b/icaro/analysis/monitoring/MCTruthMonitor.ipynb
new file mode 100644
index 0000000..1829339
--- /dev/null
+++ b/icaro/analysis/monitoring/MCTruthMonitor.ipynb
@@ -0,0 +1,205 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# This notebook produces meaningful plots of the MC true information to monitor MC production "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "\n",
+    "import os\n",
+    "import sys\n",
+    "\n",
+    "import numpy             as np\n",
+    "import tables            as tb\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas            as pd\n",
+    "\n",
+    "from invisible_cities.io.mchits_io           import load_mchits\n",
+    "from invisible_cities.io.mchits_io           import load_mcparticles\n",
+    "\n",
+    "from invisible_cities.database               import load_db\n",
+    "\n",
+    "from invisible_cities.icaro.hst_functions    import hist\n",
+    "from invisible_cities.icaro.hst_functions    import hist2d\n",
+    "from invisible_cities.icaro.hst_functions    import hist2d_profile\n",
+    "from invisible_cities.icaro.hst_functions    import labels\n",
+    "\n",
+    "from invisible_cities.core.system_of_units_c import units"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "DetGeo = load_db.DetectorGeo()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "energies = []\n",
+    "Xorigin = []\n",
+    "Yorigin = []\n",
+    "Zorigin = []\n",
+    "partE = []\n",
+    "numpart = []\n",
+    "for number in range(0,1):\n",
+    "    for p in range(0,1):\n",
+    "\n",
+    "        PATH_IN = \"/path/to/data/dst_NEXT_v1_00_05_Tl_ACTIVE_{0}_{1}_7bar_PMP_10000.h5\".format(number, p)\n",
+    "        print('Analyzing file {}'.format(PATH_IN))\n",
+    "        try:\n",
+    "            load_mchits(PATH_IN)\n",
+    "        except ValueError:\n",
+    "            continue\n",
+    "        except OSError:\n",
+    "            continue\n",
+    "        hit_dict = load_mchits(file_name)\n",
+    "        for _, hits in hit_dict.items():\n",
+    "            e = 0.\n",
+    "            for hit in hits:\n",
+    "                # Check that only the hits of the ACTIVE volume are considered\n",
+    "                if hit.pos[2] < DetGeo.ZMAX[0] and hit.pos[0] < DetGeo.XMAX[0] and hit.pos[0] > DetGeo.XMIN[0]:\n",
+    "                    e += hit.E\n",
+    "                    Xorigin.append(hit.pos[0])  \n",
+    "                    Yorigin.append(hit.pos[1])  \n",
+    "                    Zorigin.append(hit.pos[2]) \n",
+    "            energies.append(e)\n",
+    "        particle_dict = load_mcparticles(PATH_IN)\n",
+    "        \n",
+    "        for ide, particles in particle_dict.items():\n",
+    "            numpart.append(len(particles))\n",
+    "            for _, p in particles.items():\n",
+    "                partE.append(p.E)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Total energy of events"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = plt.figure();\n",
+    "fig.set_figwidth(16.0)\n",
+    "fig.set_figheight(12.0)\n",
+    "plt.hist(energies, bins=1000, range=((0.,3)), label='Event energy')\n",
+    "plt.xlabel('Energy (MeV)')\n",
+    "plt.ylabel('Counts/bin')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## XY position of hits"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = plt.figure();\n",
+    "ax1 = fig.add_subplot(111);\n",
+    "fig.set_figheight(10.0)\n",
+    "fig.set_figwidth(13.0)\n",
+    "\n",
+    "plt.hist2d(Xorigin,Yorigin, bins=100)\n",
+    "plt.colorbar()\n",
+    "        \n",
+    "plt.xlabel(\"x (mm)\");\n",
+    "plt.ylabel(\"y (mm)\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## XZ position of hits "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = plt.figure();\n",
+    "ax1 = fig.add_subplot(111);\n",
+    "fig.set_figheight(10.0)\n",
+    "fig.set_figwidth(13.0)\n",
+    "\n",
+    "plt.hist2d(Xorigin,Zorigin, bins=100)\n",
+    "plt.colorbar()\n",
+    "        \n",
+    "plt.xlabel(\"x (mm)\");\n",
+    "plt.ylabel(\"z (mm)\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Number of particles per event"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.hist(numpart, bins=30, label='Number of particles')\n",
+    "plt.xlabel('Number of particles in one event')\n",
+    "plt.ylabel('Counts/bin')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/icaro/docs/monitoring/MCTruthMonitor.ipynb b/icaro/docs/monitoring/MCTruthMonitor.ipynb
new file mode 100644
index 0000000..d2b6289
--- /dev/null
+++ b/icaro/docs/monitoring/MCTruthMonitor.ipynb
@@ -0,0 +1,277 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# This notebook produces meaningful plots of the MC true information to monitor MC production "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "\n",
+    "import os\n",
+    "import sys\n",
+    "\n",
+    "import numpy             as np\n",
+    "import tables            as tb\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas            as pd\n",
+    "\n",
+    "from invisible_cities.io.mchits_io           import load_mchits\n",
+    "from invisible_cities.io.mchits_io           import load_mcparticles\n",
+    "\n",
+    "from invisible_cities.database               import load_db\n",
+    "\n",
+    "from invisible_cities.icaro.hst_functions    import hist\n",
+    "from invisible_cities.icaro.hst_functions    import hist2d\n",
+    "from invisible_cities.icaro.hst_functions    import hist2d_profile\n",
+    "from invisible_cities.icaro.hst_functions    import labels\n",
+    "\n",
+    "from invisible_cities.core.system_of_units_c import units"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "DetGeo = load_db.DetectorGeo()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Analyzing file /Users/paola/Software/ic_data/TlMC/dst_NEXT_v1_00_05_Tl_ACTIVE_0_0_7bar_PMP_10000.h5\n"
+     ]
+    }
+   ],
+   "source": [
+    "energies = []\n",
+    "Xorigin = []\n",
+    "Yorigin = []\n",
+    "Zorigin = []\n",
+    "partE = []\n",
+    "numpart = []\n",
+    "for number in range(0,1):\n",
+    "    for p in range(0,1):\n",
+    "\n",
+    "        PATH_IN = \"/path/to/data/dst_NEXT_v1_00_05_Tl_ACTIVE_{0}_{1}_7bar_PMP_10000.h5\".format(number, p)\n",
+    "        print('Analyzing file {}'.format(PATH_IN))\n",
+    "        try:\n",
+    "            load_mchits(PATH_IN)\n",
+    "        except ValueError:\n",
+    "            continue\n",
+    "        except OSError:\n",
+    "            continue\n",
+    "        hit_dict = load_mchits(file_name)\n",
+    "        for _, hits in hit_dict.items():\n",
+    "            e = 0.\n",
+    "            for hit in hits:\n",
+    "                # Check that only the hits of the ACTIVE volume are considered\n",
+    "                if hit.pos[2] < DetGeo.ZMAX[0] and hit.pos[0] < DetGeo.XMAX[0] and hit.pos[0] > DetGeo.XMIN[0]:\n",
+    "                    e += hit.E\n",
+    "                    Xorigin.append(hit.pos[0])  \n",
+    "                    Yorigin.append(hit.pos[1])  \n",
+    "                    Zorigin.append(hit.pos[2]) \n",
+    "            energies.append(e)\n",
+    "        particle_dict = load_mcparticles(PATH_IN)\n",
+    "        \n",
+    "        for ide, particles in particle_dict.items():\n",
+    "            numpart.append(len(particles))\n",
+    "            for _, p in particles.items():\n",
+    "                partE.append(p.E)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Total energy of events"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.text.Text at 0x11ba5a240>"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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rq+obRsbcvapeXVW3VdXnBvt78ATfAwAAgI5NEoTXkvxca+3mXXzeviTXJXl+kuMb9P9M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\nNKz8CVGJIZDPGPNPAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x12841b6a0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure();\n",
+    "fig.set_figwidth(16.0)\n",
+    "fig.set_figheight(12.0)\n",
+    "plt.hist(energies, bins=1000, range=((0.,3)), label='Event energy')\n",
+    "plt.xlabel('Energy (MeV)')\n",
+    "plt.ylabel('Counts/bin')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## XY position of hits"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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jA7003OziU3RnxuOKK7bCqxms3LabxlNO1Zri0Uu8/a54+5ev4xUXWBUWAGiW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GlmW9+LfTeAHwDww2iYtnQD+NCmmct1uaPvzLv7JBqvudwKnkKj896Il96bfyOAji3/fgrAr5jZ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\nd74AAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11c53a358>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure();\n",
+    "ax1 = fig.add_subplot(111);\n",
+    "fig.set_figheight(10.0)\n",
+    "fig.set_figwidth(13.0)\n",
+    "\n",
+    "plt.hist2d(Xorigin,Yorigin, bins=100)\n",
+    "plt.colorbar()\n",
+    "        \n",
+    "plt.xlabel(\"x (mm)\");\n",
+    "plt.ylabel(\"y (mm)\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## XZ position of hits "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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o42JLFGKdEwJKJs6txvgaop6zGnNM+AkARS8xWyAixFtRdPNxWwxv4W05v9I/os0ouDA7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\nSInQxbmIiIiISInQxbmIiIiISIn4/3s5mOgFYqfdAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11cd0ec18>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure();\n",
+    "ax1 = fig.add_subplot(111);\n",
+    "fig.set_figheight(10.0)\n",
+    "fig.set_figwidth(13.0)\n",
+    "\n",
+    "plt.hist2d(Xorigin,Zorigin, bins=100)\n",
+    "plt.colorbar()\n",
+    "        \n",
+    "plt.xlabel(\"x (mm)\");\n",
+    "plt.ylabel(\"z (mm)\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Number of particles per event"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.text.Text at 0x13db51d30>"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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M1t56SZK3bKDd/kk+upFrAQA7MGtUAQAkD6+qvee2PTbh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\nYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x140a9cfd0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.hist(numpart, bins=30, label='Number of particles')\n",
+    "plt.xlabel('Number of particles in one event')\n",
+    "plt.ylabel('Counts/bin')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}