diff --git a/notebooks/iMinuit_LSQ.ipynb b/notebooks/iMinuit_LSQ.ipynb
index f6b2535d28ca2d8e65f2ca5ecc4a002c0097cb8f..9e44afce350b4b6d4a1cd6b90fd4cede1a8103b1 100644
--- a/notebooks/iMinuit_LSQ.ipynb
+++ b/notebooks/iMinuit_LSQ.ipynb
@@ -286,7 +286,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7fd0172bcc40>"
+       "<matplotlib.legend.Legend at 0x7fa2aa1b4d30>"
       ]
      },
      "execution_count": 7,
@@ -913,7 +913,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.contour.ContourSet at 0x7fd017f7fd00>"
+       "<matplotlib.contour.ContourSet at 0x7fa2aaf85df0>"
       ]
      },
      "execution_count": 19,
diff --git a/notebooks/leastSquaresFits_bias.ipynb b/notebooks/leastSquaresFits_bias.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..72f999c6c70732d4bb19b8edc62b953b335c5173
--- /dev/null
+++ b/notebooks/leastSquaresFits_bias.ipynb
@@ -0,0 +1,261 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Least squares Fit: the typical bias\n",
+    "\n",
+    "The typical bias: fit skewed data (data with a tail) with a gaussian. An example using the general:\n",
+    "- scipy.stats.rv_continuous.fit\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "from scipy.stats import norm, lognorm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Generate the dataset on a lognorm\n",
+    "This dataset has a positive skewness (tail on the right)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "data: [0.98012845 0.9417804  1.16029326 ... 1.16283386 1.01274264 0.95623936]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Generate the dataset on a lognorm\n",
+    "# positive skewness (tail on the right)\n",
+    "nevts=10000\n",
+    "a, b = 0.25, 0\n",
+    "data = lognorm.rvs(a, b, size=nevts) # see slides on continuous distributions\n",
+    "print (\"data:\", data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "hdata: [   0    0    0    0   17  195  577 1080 1503 1687 1508 1212  826  556\n",
+      "  350  212  123   66   42   19   13    4    4    3    2    0    1    0\n",
+      "    0    0]\n",
+      "bins: [0.  0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.  1.1 1.2 1.3 1.4 1.5 1.6 1.7\n",
+      " 1.8 1.9 2.  2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3. ]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# histogram the data\n",
+    "xmin = 0.\n",
+    "xmax = 3.0\n",
+    "binsize = 0.1\n",
+    "hdata, bins = np.histogram(data, bins=np.arange(xmin, xmax+binsize, binsize))\n",
+    "print (\"hdata:\", hdata)\n",
+    "print (\"bins:\", bins)\n",
+    "\n",
+    "# plot the histogram\n",
+    "# plt.hist(data,bins)# arguments are passed to np.histogram"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "mu = 1.0267 ; sigma = 0.2583\n"
+     ]
+    }
+   ],
+   "source": [
+    "# fit with a gaussian\n",
+    "mu, sigma = norm.fit(data)\n",
+    "print (\"mu = {:1.4f} ; sigma = {:1.4f}\".format(mu, sigma))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95 1.05 1.15 1.25 1.35\n",
+      " 1.45 1.55 1.65 1.75 1.85 1.95 2.05 2.15 2.25 2.35 2.45 2.55 2.65 2.75\n",
+      " 2.85 2.95]\n"
+     ]
+    },
+    {
+     "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": [
+    "# plot the gaussian with the best estimate of the parameters\n",
+    "# gaussian sampled at the centre of the bin\n",
+    "x = bins[:-1]+binsize/2.\n",
+    "print (x)\n",
+    "gauss = norm.pdf(x, mu, sigma)\n",
+    "\n",
+    "# plot the normalized histogram and fit\n",
+    "# plt.hist(data, bins, density=True)# arguments are passed to np.histogram\n",
+    "# plt.plot(x, gauss)\n",
+    "# plt.show()\n",
+    "\n",
+    "# plot the histogram and fit\n",
+    "# plt.hist(data, bins, density=False)# arguments are passed to np.histogram\n",
+    "# plt.plot(x, gauss*nevts*binsize)\n",
+    "# plt.show()\n",
+    "\n",
+    "# plot the histogram and fit (increase number of points to draw the fit)\n",
+    "plt.hist(data, bins, density=False)# arguments are passed to np.histogram\n",
+    "finerbin = 0.01\n",
+    "gbins = np.arange(xmin, xmax+finerbin, finerbin) #take a large number of points to plot a smooth the gaussian\n",
+    "gauss = norm.pdf(gbins, mu, sigma)\n",
+    "plt.plot(gbins, gauss*nevts*binsize)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Fit a subset of the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "events in the new range =  9161\n",
+      "mu = 0.9760 ; sigma = 0.1986\n"
+     ]
+    },
+    {
+     "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": [
+    "# original dataset\n",
+    "plt.hist(data, bins, density = True)\n",
+    "\n",
+    "#fit range\n",
+    "minrange = 0.2\n",
+    "maxrange = 1.4\n",
+    "\n",
+    "# select only the data in the range you want to fit\n",
+    "data_range = [ x for x in data if minrange <= x <= maxrange ]\n",
+    "nevtsrange = len(data_range)\n",
+    "print (\"events in the new range = \", nevtsrange)\n",
+    "\n",
+    "# fit with a gaussian\n",
+    "mu, sigma = norm.fit(data_range)\n",
+    "print (\"mu = {:1.4f} ; sigma = {:1.4f}\".format(mu, sigma))\n",
+    "\n",
+    "# plot the normalized histogram and fit\n",
+    "x = bins[:-1]+binsize/2.\n",
+    "plt.hist(data_range, bins, density=True)# arguments are passed to np.histogram\n",
+    "# print(x)\n",
+    "\n",
+    "# finer binning just to have a smooth curve\n",
+    "finerbin = 0.01\n",
+    "gbins = np.arange(minrange, maxrange+finerbin, finerbin)\n",
+    "gauss = norm.pdf(gbins, mu, sigma)\n",
+    "plt.plot(gbins, gauss)\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "hide_input": false,
+  "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": "3.8.5"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {
+    "height": "calc(100% - 180px)",
+    "left": "10px",
+    "top": "150px",
+    "width": "225.438px"
+   },
+   "toc_section_display": true,
+   "toc_window_display": true
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/leastSquaresFits_gauss.ipynb b/notebooks/leastSquaresFits_gauss.ipynb
index 19a98b729f00f06d14621f8af3a8b4d3e36d3c52..439f6bbd9eb703f625fbf8b45b4638d2a16a3a0c 100644
--- a/notebooks/leastSquaresFits_gauss.ipynb
+++ b/notebooks/leastSquaresFits_gauss.ipynb
@@ -17,12 +17,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
+    "# from __future__ import print_function\n",
     "import numpy as np\n",
     "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
     "from scipy.optimize import curve_fit\n",
-    "from scipy.stats import norm, chi2, lognorm"
+    "from scipy.stats import norm"
    ]
   },
   {
@@ -30,7 +30,7 @@
    "metadata": {},
    "source": [
     "## Fit a gaussian\n",
-    "Consider a Gaussian. We are measuring some feature which has a Gaussian distribution in $x$. This could be an inhomogeneous spectral line for $x=E$ the energy of emitted photons. We are interested in the resonance frequency and the linewidth, i. e. we want to estimate them form our observations."
+    "We have measured some feature that has a Gaussian distribution. This could be a spectral line for $x=E$ the energy of emitted photons. We are interested in the resonance frequency and the linewidth, i. e. we want to estimate them form our observations."
    ]
   },
   {
@@ -53,7 +53,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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innvuKfTXp3bq1IkiRYowceJEt6MYl/nzDLgFsE1Vd6jqWWAc0DlHm87AJ854FcuBciJS1XmcPd9HEWdRr33GON+PAbr48TWYADFlyhSysrIC4iaHcuXK0aFDByZOnGjdECHOnwX4KmC31+NUZ51PbUQkXETWAQeBear6ndOmiqruA3C+XpH/0U2gmThxIrVr16ZBgwZuR/FJ9+7d2b17t3VDhDh/FuDc/g7MeaP0eduoaqaqNgGigBYikqffLBHpLyKrRGSV3bUT3AKp+yFbp06dKFq0KBMmTHA7inGRPwtwKlDd63EUkHOO7ou2UdVfgYVAnLPqgIhUBXC+Hszt4Ko6QlWbq2rzQL3t0/gmu/uhe/fubkfxWbly5Wjfvj2TJk2ybogQ5s8CvBKIFpGaIlIUuBfIOS/LdKCPczXEjcBRVd0nIpVFpByAiEQCdwA/eu3T1/m+LzDNj6/BBICJEydSp06dgOl+yHbPPfewe/duvvvuu4s3NkHJbwVYVTOAQcAcYBMwQVU3iMgAERngNEsCdgDbgJHAQGd9VeBrEVmPp5DPU9XseaZfB2JFZCsQ6zw2IergwYMsWrSI7t27B0z3Q7bsbgi7GiJ0SSiM7dm8eXNdtWqV2zGMH3z00Uf069ePdevW0bhxY7fj5FnHjh3ZuHEjO3bsCLj/QIzvRGS1qjbPud7uhDMBberUqdSsWZNGjRq5HeWSdO3alV27drF+/Xq3oxgXWAE2AevYsWPMnz+fLl26BOzZY2JiIiISFDNlmLyzAmwCVnJyMmfOnKFLly5uR7lkVapUoXXr1laAQ5QVYBOwpk6dSqVKlWjTpo3bUS5L165dWbduHbt27XI7iilgVoBNQDp79iyzZs2iU6dOhIeHux3nsnTu7LlD386CQ48VYBOQFi5cyNGjRwO6+yHbddddR4MGDawAhyArwCYgTZ06lZIlS3LHHXe4HSVfdO3alcWLF/PLL7+4HcUUICvAJuCoKtOnT6dDhw5ERka6HSdfdO7cmaysLJKSktyOYgqQFWATcNatW8eePXtITEx0O0q+adq0KdWqVWPGjBluRzEFyAqwCTgzZ85EREhISHA7Sr4RETp27MicOXM4e/as23FMAbECbALOjBkzaNmyJVdcEVxDQScmJnLs2DG++eYbt6OYAmIF2ASU/fv3s3LlSu688063o+S722+/neLFi1s3RAixAmwCyqxZswCCqv83W4kSJbj99tuZMWMGoTBIlrECbALMzJkzqV69Og0bNnQ7il/ceeed7Ny5k02bNrkdxRQAK8AmYJw+fZq5c+eeG8AmGGV3rVg3RGiwAmwCxsKFCzl58mRQdj9ki4qK4vrrr7cCHCKsAJuAMWvWLCIjI7n11lvdjuJXHTt2ZNmyZRw+fNjtKMbPrACbgKCqJCUlnbtSIJglJCSQlZXF3Llz3Y5i/MwKsAkIW7ZsYceOHUF188X5tGjRgooVK9ptySHACrAJCNnFKBQKcHh4OHFxccyePdumrA9yfi3AIhInIptFZJuIPJ/LdhGRt53t60WkqbO+uoh8LSKbRGSDiDzutc+LIrJHRNY5S/D/RhqSkpKoX78+11xzjdtRCkRCQgK//PILNplscPNbARaRcGA4EA/UA3qKSL0czeKBaGfpD7zvrM8AnlbVusCNwCM59h2qqk2cxf5OC3LHjx9n0aJFIXH2m61Dhw6IiHVDBDl/ngG3ALap6g5VPQuMAzrnaNMZ+EQ9lgPlRKSqqu5T1TUAqnoM2ARc5cesphBbsGAB6enpIVWAK1asyI033mgFOMj5swBfBez2epzKn4voRduISA3geuA7r9WDnC6LUSJSPt8Sm0IpKSmJ0qVLB/zcb3mVkJDAypUrOXDggNtRjJ/4swDndqtSzhvcL9hGREoBk4EnVPU3Z/X7QC2gCbAPeCPXg4v0F5FVIrLq0KFDeYxuCovsy8/at29PkSJF3I5ToLLP+JOTk11OYvzFnwU4Faju9TgK2OtrGxEpgqf4fq6qU7IbqOoBVc1U1SxgJJ6ujj9R1RGq2lxVm1euXPmyX4xxR0pKCqmpqcTHx7sdpcA1adKEKlWqMHv2bLejGD/xZwFeCUSLSE0RKQrcC0zP0WY60Me5GuJG4Kiq7hPPjf7/BTap6pveO4hIVa+HXYEU/70E47bss7+4uDiXkxS8sLAw4uLimDt3LpmZmW7HMX7gtwKsqhnAIGAOng/RJqjqBhEZICIDnGZJwA5gG56z2YHO+jZAb6BdLpebDRGRH0RkPXAb8KS/XoNx3+zZs2nYsCFXXRWan8HGxcVx5MgRVqxY4XYU4wcR/nxy5xKxpBzrPvD6XoFHctnvW3LvH0ZVe+dzTFNIHTt2jG+//ZYnnwzd/2Pbt29PWFgYycnJtGrVyu04Jp/ZnXCm0Prqq69IT08Pye6HbBUqVKBly5bWDxykrACbQmv27NmUKlUq5C4/yykuLo5Vq1ZhV/MEHyvAplBSVWbPns3tt99O0aJF3Y7jqvj4eFTVRkcLQlaATaH0448/8vPPP4fk5Wc5NWvWjEqVKtn1wEHICrAplLL7PEO5/zdbWFgYHTp0YM6cOTY6WpCxAmwKpeTkZOrUqRMyo59dTHx8PIcOHWL16tVuRzH5yAqwKXROnDjBokWLrPvBS/v27RER5syZ43YUk4+sAJtCZ9GiRZw9e9YKsJfKlSvTrFkz6wcOMlaATaGTnJxMZGQkbdu2dTtKoRIXF8eyZcs4cuSI21FMPrECbAqd5ORkbrvttqCffDOv4uLiyMrKYsGCBW5HMfnECrApVLZv387WrVvt6odctGzZkrJly1o3RBC5aAEWkRgRWSAiKc7jRiIy2P/RTCjK/pDJCvCfRUREEBsbS3JyMp5hVEyg8+UMeCTwApAOoKrr8QwtaUy+S05O5tprr+W6665zO0qhFBcXx549e9iwYYPbUUw+8KUAl1DVnGPhZfgjjAltZ86c4auvviIuLg7PkNAmpw4dOgA2S0aw8KUA/yIitXCmChKRbnimAjImXy1ZsoQTJ06cKzLmz6KiomjQoIGNjhYkfCnAjwAfAnVEZA/wBDDggnsYcwlmz55NkSJFaNeundtRCrW4uDgWL17M8ePH3Y5iLpMvBVhV9Q6gMlBHVW/ycT9j8iQ5OZm2bdtSqlQpt6MUanFxcaSnp/P111+7HcVcJl8K6WQAVT2hqsecdZP8F8mEiqHztlDj+VnUeH4WUQPHkJKSwpqsGgydt8XtaIXaTTfdRMmSJa0fOAicd0oiEakD1AfKishdXpvKAHaFvLlsT8bG8GRsDD0+XMaOJUvYAyx+50kaNIhxO1qhVqxYMdq1a8fs2bNRVfvAMoBd6Ay4NnAnUA5I9FqaAv38nsyEhIzMLH4+fJKDJWpSveMj1K5T1+1IASEuLo6dO3eydetWt6OYy3DeM2BVnQZME5FWqrqsADOZEPLmvC0c+O00Uq4a4WWv4K35W3k2ro7bsQq97BtVkpOTiYmxvxgClS99wGtF5BEReU9ERmUvvjy5iMSJyGYR2SYiz+eyXUTkbWf7ehFp6qyvLiJfi8gmEdkgIo977VNBROaJyFbna3mfX60pdJZuTyPLuakrSyJYsj3N3UAB4tprryUmJsb6gQOcLwX4U+BKoAOwCIgCjl1wD0BEwoHhQDxQD+gpIvVyNIsHop2lP/C+sz4DeFpV6wI3Ao947fs8sEBVo4EFzmMToFrXqghZnvt6ikeE0aZWRZcTBYah87awr3Rtkuct4Oqnp5z7MNM+wAwsvhTg61T1f4ETqjoG6Ag09GG/FsA2Vd2hqmeBcUDnHG06A5+ox3KgnIhUVdV9qroGwLnyYhNwldc+Y5zvxwBdfMhiCqmnYmM4vWkhmWk/89BNNXky1v6c9sWTsTGMf+WvaMZZaqT/xK7XO7Lr9Y72/gUYXwpwuvP1VxFpAJQFaviw31XAbq/HqfxeRH1uIyI1gOuB75xVVVR1H4Dz9YrcDi4i/UVklYissum8C6+0Xw5xYOZblDu4jmfj6hARbpeY++qmm2+m/K1/YXdWeYYk/0hGps0XF2h8+Wkf4fSzDgamAxuBf/uwX27XxuQcwumCbUSkFJ7rkJ9Q1d98OObvT6I6QlWbq2rzypUr52VXU0CGzttC/Qc9P0ppFerbn9F59P7i3ZRuloiWqsyoJTvtfQtA570KAkBEwoDfVPUI8A1wbR6eOxWo7vU4CtjraxsRKYKn+H6uqlO82hzI7qYQkarAwTxkMoXIk7ExfPffvSy68kr2jHrUrmfNo6Xb05CIogCcTs9iyfY0nnU5k8mbC54Bq2oWMOgSn3slEC0iNUWkKJ4hLKfnaDMd6ONcDXEjcNQprAL8F9ikqm/msk9f5/u+wLRLzGdclpGRwdy5c230s0vUulZFxPmDMYIs+wAzAPnSBTFPRJ5xLg2rkL1cbCdVzcBTvOfg+RBtgqpuEJEBIpI9mE8SsAPYhmfc4YHO+jZAb6CdiKxzlgRn2+tArIhsBWKdxyYArVixgiNHjtjkm5foqdgYqpaNJP3gDsodXGMfwAWgC3ZBOB50vj7itU7xoTtCVZPwFFnvdR94fa85njd7/bfk3j+MqqYBt180tSn0Zs+eTVhYGLGxsW5HCUgR4WFUr1CCQzu/YeN3s8h47zkiwm2UgEBy0TNgVa2Zy5KXvmBjcjV79mxatWpF+fJ2L01eZQ9k9N3Ow/xWqT6nTp3imj5D7IO4AOPLGbAx+W7//v2sXr2aV1991e0oASl7ICOAkydvo+LMf9Oz2mHrhggwdtGlcUX25JsJCQkXaWkupkSJEtx66602S0YAsgJsXJGUlMSVV15J48aN3Y4SFOLj49myZQvbt293O4rJA1+mpV/gyzpjfJWens6cOXNISEggLMzOAfJDx44dAZg1a5bLSUxenPenX0SKO5ebVRKR8l6XoNUAqhVYQhN0li1bxtGjR88VDXP5atWqRe3atUlKSrp4Y1NoXOj042FgNVDH+Zq9TMMzypkxl2TWrFkUKVKEO+64w+0oQaVjx44sXLiQEydOuB3F+Oi8BVhVh6lqTeAZVb3W6xK0xqr6bgFmNEFm1qxZtG3bljJlyrgdJagkJCRw5swZFiywHsJA4ct1wO+ISGsRuU9E+mQvBRHOBJ+ffvqJDRs2WPeDH7Rt25bSpUtbP3AAueh1wCLyKVALWAdkOqsV+MR/sUywyu6jtAKc/4oWLUpsbCxJSUk2WWeA8OVGjOZAPee2YWMuy6xZs6hVq5bNY+YnHTt2ZMqUKfzwww80atTI7TjmIny5BigFz5RExlyWU6dO8dVXX5GQkGBnZ36SPbCRdUMEBl8KcCVgo4jMEZHp2Yu/g5ng89VXX3Hq1CnuvPNOt6MErapVq9KsWTNmzpzpdhTjA1+6IF70dwgTGqZPn06pUqW45ZZb3I4S1BITE3nppZc4ePAgV1yR64xdppDw5SqIRbktBRHOBA9VZebMmXTo0IFixYq5HSeoJSYmoqp2U0YA8OVW5GMi8puznBaRTBHJ0/xsxqxZs4a9e/eSmJjodpSgd/3113PVVVcxY8YMt6OYi7hoF4SqlvZ+LCJd8Ew5b4zPZsyYgYjY6GcFQES48847+fzzzzlz5oz9xVGI5XkkFFWdCrTL/ygmmM2YMYNWrVphM1QXjMTERI4fP87ChQvdjmIuwJcuiLu8lm4i8jp/nl7emPPas2cPa9asse6HAtSuXTsiIyOtG6KQ8+UMONFr6QAcAzr7M5QJLtmXRFkBLjiRkZHExsYyY8YM7B6qwsuXqyD+4rX0U9X/T1UP+vLkIhInIptFZJuIPJ/LdhGRt53t60Wkqde2USJyUERScuzzoojsyWW2ZFNIzZgxg5o1a1KvXj23o4SUxMREfv75Z9avX+92FHMevnRBRInIl04xPCAik0Ukyof9wvEMWxkP1AN6ikjO38B4INpZ+gPve20bDcSd5+mHqmoTZ7FrbQqxY8eOMX/+fLp06WJ3vxWwxMRERIRp06a5HcWchy9dEB8D0/EMwn4VMMNZdzEtgG2qukNVzwLj+HPXRWfgE/VYDpQTkaoAqvoNcNi3l2EKqzlz5nDmzBm6dOnidpSQU6VKFVq3bs3UqVPdjmLOw5cCXFlVP1bVDGcZDfjyUfZVwG6vx6nOury2yc0gp8tilIjkOqe5iPQXkVUisurQoUM+PKXxhy+//JJKlSrRunVrt6OEpC5durB27Vp27drldhSTC18K8C8i0ktEwp2lF5Dmw365/b2Z89MAX9rk9D6e4TGbAPuAN3JrpKojVLW5qja3S5/ccfbsWWbNmkViYiIREb7c9W7yW+fOnj86rRuicPKlAD8I3APsx1PwujnrLiYVqO71OArYewlt/kBVD6hqpqpmASOxm0IKrUWLFnH06FHrfnBRdHQ09evXt26IQsqXqyB+VtVOqlpZVa9Q1S6q+pMPz70SiBaRmiJSFLgXT1+yt+lAH+dqiBuBo6q670JPmt1H7OiKZ7hMUwhNnTqVEiVKEBsb63aUkNa1a1e++eYb0tJ8+cPVFCRfroIYIyLlvB6XF5FRF9tPVTOAQcAcYBMwQVU3iMgAERngNEsCdgDb8JzNDvQ6zlhgGVBbRFJF5CFn0xAR+UFE1gO3AU/68DpNAcvKymLq1KnExcURGRnpdpyQ1qVLF7KysuymjELIl465Rqr6a/YDVT0iItf78uTOJWJJOdZ94PW9Ao+cZ9+e51nf25djG3etWrWKvXv3WvdDIdC0aVOioqL48ssveeCBB9yOY7z40gcc5n2lgYhUwLfCbULYlClTiIiIsLnfCgERoWvXrsydO5fjx4+7Hcd48aUAvwEsFZFXRORlYCkwxL+xTCBTVSZNmsTtt99OhQoV3I5jgG7dunH69GmbqqiQ8eVDuE+Au4EDwCHgLlX91N/BTOBat24d27dvp1u3bm5HMY42bdpQpUoVJk2a5HYU48WnrgRV3Qhs9HMWEyQmTZpEeHi49f8WIuHh4dx1112MGTOGEydOULJkSbcjGS5hPGBjLkRVmThxIrfddhuVKlVyO47x0r17d06ePElycrLbUYzDCrDJVykpKWzdutW6Hwqhtm3bUrlyZSZOnOh2FOOwAmzy1aRJkwgLC7Puh0IoIiKCrl27MnPmTE6dOuV2HIMVYJPPJk2axM0330yVKlXcjmJy0a1bN06cOGHdEIWEFWCTb3744Qc2btxI9+7d3Y5izuPWW2+lUqVKjB8/3u0oBivAJh+NHTuW8PBwK8CFWJEiRejWrRvTp0+3mzIKASvAJl+oKuPGjeOOO+6wmY8LuZ49e3Lq1CmmT885NpYpaFaATb747rvv2LlzJz175jqEhylEbrrpJqKiohg3bpzbUUKeFWCTL8aOHUuxYsXs6ocAEBYWRo8ePUhOTubwYZv1y01WgM1ly8zMZMKECSQkJFC2bFm34xgf9OzZk/T0dKZMmeJ2lJBmBdhctoULF7J//37rfgggTZs2JTo6mrFjx7odJaRZATaX7YsvvqBUqVLceeedbkcxPhIRevbsyddff82ePXvcjhOyrACby3Ly5EkmTpxIt27dbOaLANOrVy9Ulc8//9ztKCHLCrC5LFOnTuXYsWP07dvX7Sgmj6Kjo2ndujVjxozBMzmNKWhWgM1lGTNmDNdccw0333yz21HMJejTpw8bN25kzZo1bkcJSVaAzSXbs2cP8+fPp3fv3oSF2Y9SIOrRowfFihVjzJgxbkcJSX79rRGROBHZLCLbROT5XLaLiLztbF8vIk29to0SkYMikpJjnwoiMk9Etjpfy+d8XlMwPvvsM7KysujTp4/bUcwlKleuHJ07d+aLL77g7NmzbscJOX4rwCISDgwH4oF6QE8RqZejWTwQ7Sz9gfe9to0G4nJ56ueBBaoaDSxwHpsCpqqMGTOG1q1bEx0d7XYccxn69u1LWloaSUlJF29s8pU/z4BbANtUdYeqngXGAZ1ztOkMfKIey4FyIlIVQFW/AXK7TaczkP330higiz/CmwtbuXIlmzZtsrPfINC+fXuuvPJKRo8e7XaUkOPPAnwVsNvrcaqzLq9tcqqiqvsAnK9X5NZIRPqLyCoRWXXo0KE8BTcXN3LkSEqUKMG9997rdhRzmSIiIujTpw8zZ85k3759bscJKf4swJLLupzXuvjS5pKo6ghVba6qzW10rvx17Ngxxo4dS48ePezW4yDxP//zP2RmZvLxxx+7HSWk+LMApwLVvR5HAXsvoU1OB7K7KZyvBy8zp8mjsWPHcuLECfr37+92FJNPoqOjadeuHSNHjiQrK8vtOCHDnwV4JRAtIjVFpChwL5BzANLpQB/naogbgaPZ3QsXMB3Ivuq/LzAtP0ObixsxYgQNGzakZcuWbkcx+ahfv37s2rWL+fPnux0lZPitAKtqBjAImANsAiao6gYRGSAiA5xmScAOYBswEhiYvb+IjAWWAbVFJFVEHnI2vQ7EishWINZ5bArI6tWrWb16Nf3790cktx4kE6i6du1KxYoVGTFihNtRQkaEP59cVZPwFFnvdR94fa/AI+fZN9ehtVQ1Dbg9H2OaPBg5ciTFixenV69ebkcx+axYsWI88MADDBs2jAMHDtjEqgXAbl8yPjt69Ciff/45PXr0oFy5cm7HMX7Qr18/MjIyGDlypNtRQoIVYOOz0aNHc/z4cR599FG3oxg/qV27Nu3bt+f9998nPT3d7ThBzwqw8UlWVhbvvPMOrVu3plmzZm7HMX702GOPsXfvXpstowBYATY+mT17Ntu3b+exxx5zO4rxs/j4eGrVqsXbb7/tdpSgZwXY+OTtt9+mWrVq3HXXXW5HMX4WFhbGo48+ytKlS1m1apXbcYKaFWBzUZs2bWLu3LkMHDiQIkWKuB3HFIAHHniAUqVK8c4777gdJahZATYX9dZbb1GsWDG78y2ElC1blgceeICxY8fanHF+ZAXY/MnQeVuo8fwsajw/i6hBnzLiv6MoUrcdn6074nY0U4CeeuopsrKyeOutt9yOErQkFOaCat68uVpfVt5kZGbRdsjX7N+bytEfvmb5yMHERF/ndixTwJq1S2Tt0q+JGvQpYRFFz61//PZonoyNcTFZYBGR1araPOd6OwM2uXpz3hb2Hz2NlqxE2RZdmbY9w+1IxgWjhr5K2ZZ3n5tyqniRMB65tZYV33xiBdjkaun2tHPjgmpYBEu2p7max7ijcePGVGl0M4R5Ri04nZ5lPwv5yAqwydUN15RB088AnrOeNrUqupzIuOWOhtXJSj8N2M9CfrMCbP5k6LwtvPHm2xxdOZWsMyc5nZ7F8IXbGTpvi9vRjAuGPng7GduWkX5gO31bVrfuh3xkH8KZPzl+/DjXXnstjRs3Zt68eW7HMS4aOm8LwxZs5fRP6zkw7u+Uv70fZZp3tg/h8uh8H8L5dThKE5jeffddDh06xCuvvOJ2FOOyJ2NjnELbkXYH5rExZTobpg2lZMmSbkcLCtYFYf7g6NGjDBkyhISEBG688Ua345hC5JVXXuHAgQMMHz7c7ShBwwqw+YO33nqLI0eO8PLLL7sdxRQybdq0IS4ujiFDhvDbb7+5HScoWAE25+zdu5f//Oc/3H333TbkpMnVq6++SlpaGq+99prbUYKCFWBzzuDBgzl79iyvv27T7JncNWvWjF69ejF06FB27drldpyAZwXYALBmzRpGjx7N448/znXX2S3H5vxee+01wsLCeO6559yOEvD8WoBFJE5ENovINhF5PpftIiJvO9vXi0jTi+0rIi+KyB4RWecsCf58DaFAVXnqqaeoWLEigwcPdjuOKeSioqL429/+xoQJE1iyZInbcQKa3wqwiIQDw4F4oB7QU0Tq5WgWD0Q7S3/gfR/3HaqqTZwlCXNZJk+ezKJFi3j55ZcpW7as23FMAHj22WepVq0ajz/+OJmZmW7HCVj+PANuAWxT1R2qehYYB3TO0aYz8Il6LAfKiUhVH/c1+eDo0aM89thjNGnShH79+rkdxwSIkiVL8sYbb7B69Wreffddt+MELH8W4KuA3V6PU511vrS52L6DnC6LUSJSPreDi0h/EVklIqsOHTp0qa8h6L3wwgscOHCAkSNHEhFh9+UY3/Xo0YO4uDgGDx7M7t27L76D+RN/FmDJZV3O+57P1+ZC+74P1AKaAPuAN3I7uKqOUNXmqtq8cuXKPgUONcuWLeODDz7gscceo3nzP90lacwFiQjvvfceWVlZPPLII4TCsAb5zZ8FOBWo7vU4CtjrY5vz7quqB1Q1U1WzgJF4uitMHp05c4b+/fsTFRVltxybS1azZk1eeuklZsyYwcSJE92OE3D8WYBXAtEiUlNEigL3AtNztJkO9HGuhrgROKqq+y60r9NHnK0rkOLH1xC0/vGPf5CSksKHH35IqVKl3I5jAtgTTzxB8+bN+etf/2rzx+WR3wqwqmYAg4A5wCZggqpuEJEBIjLAaZYE7AC24TmbHXihfZ19hojIDyKyHrgNeNJfryFYLViwgDfeeIOBAwcSHx/vdhwT4CIiIvj88885ffo0f/nLX8jKynI7UsCw4ShDzOHDh2nUqBGlSpVizZo1lChRwu1IJkh8+OGHDBgwgKFDh/LEE0+4HadQsTnhDFlZWTz44IMcOHCAzz//3IqvyVf9+/cnMTGR5557Djvh8Y0V4BDyr3/9i2nTpvGf//zHBtsx+U5EGDVqFFdeeSV33XUXBw8edDtSoWcFOETMnj2bf/7zn9x///08/vjjbscxQapSpUpMmTKFgwcP0qNHDzIybDbtC7ECHAI2b97MfffdR+PGjRkxYgQiuV1mbUz+aNasGR9++CELFy7k6aeftuuDL8BufQpye/fupUOHDhQtWpQpU6ZYv68pEH379mXdunW89dZbVK9enWeeecbtSIWSFeAgdvToUeLj40lLS2PRokXUrFnT7UgmhLzxxhvs3buXZ599liuvvJJevXq5HanQsQIcpI4fP05iYiKbNm1i1qxZNG3a9OI7GZOPwsLC+OSTTzh06BB/+ctfKFOmDJ06dXI7VqFifcBB6LfffqNDhw4sXbqUzz77jNjYWLcjmRBVrFgxvvzyS5o2bcrdd9/N5MmT3Y5UqFgBDjJHjhwhNjaWFStWMH78eO655x63I5kQV7ZsWebOnUuLFi3o0aMH48aNcztSoWEFOIhs376d1q1bs3btWiZPnszdd9/tdiRjAE8RTk5O5qabbuK+++7jP//5j10dgRXgoPHtt9/SsmVLDh48yLx586yvzRQ6pUuXZvbs2XTv3p2//e1v9OvXj7Nnz7ody1VWgANIRmYWQ5J/pMvwJQxJ/pGMzCxUlWHDhtGuXTsqVKjA8uXLueWWW9yOakyuIiMjGTt2LIMHD+a///0vt912Gz/99BOQ+893sLPBeALE0HlbGLZg6x/WZaWfpszS4WxY/jWJiYmMHj2aChUquJTQmLwZP348/fr1Izw8nC6PvcLXZ/58meTjt0fzZGyMC+nylw3GE+CejI2hSfVyf1x5ZA9b1yxh2LBhTJs2zYqvCSg9evRg7dq1XHfddYx++VFKnfnlD9ubVC8XFMX3QqwAB4ih87awbveveCYC8Zz9nti/g0eHTeSxxx6z24tNQKpVqxZLlizh//7v/9j//SI0/QwAxYuE0aZWRZfT+Z/diBEgejYsw+Yvk5iw8QSRNZrQulZFPpv6H4oVLeJ2NGMuS9GiRSnb5j6KpX7Fic1LKFKhGscO7OI/m8oTHnY/T7Wv7XZE/1HVoF+aNWumgWrbtm06cOBAjYyM1IiICB04cKDu37/f7VjG+EVWVpZOnjxZY2JiFNCmTZvquHHjND093e1olwVYpbnUJuuCKIQyMjKYMWMGXbp0ISYmho8++oiePXuyceNGhg8fTpUqVdyOaIxfiAh33XUXKSkpjBw5kuPHj3Pvvfdy3XXX8corr5Camup2xHxlV0EUEpmZmSxevJjJkyczadIk9u/fT5UqVXjwwQcZNGgQ1apVczuiMQUuKyuL6dOn88477/DVV18RFhZGu3btuPvuu+natWvAnIyc7yoIK8AuUVW2bdvGN998w9y5c5k/fz6HDx+mePHixMfH07dvXxISEihSxPp4jQHYsWMHH3/8MePHj2fr1q2ICM2aNaN9+/bccccdtGjRgpIlS7odM1euFGARiQOGAeHAR6r6eo7t4mxPAE4CD6jqmgvtKyIVgPFADWAXcI+qHrlQDn8X4IzMLN6ct4Wl29NoXasiT8XGEBH+e+9Oeno6O3fuJCUlhXXr1rF27VqWL1/OL794LrupVq0a7du3JyEhgfj4eJsm3pgLUFVSUlL48ssvmTt3LsuXLyczM5Pw8HAaN25M8+bNadKkCY0bN6ZOnTqF4vLMAi/AIhIObAFigVRgJdBTVTd6tUkAHsVTgFsCw1S15YX2FZEhwGFVfV1EngfKq+pzF8rizwKcnp7OK9O+Z/zag5zJVCJEaVj0EFUPrWTXrl3s2LGD7du3n5uaJSwsjNq1a9OyZUtat25NmzZtqFu3rl1GZswlOnr0KEuWLGHZsmUsXbqUtWvXcuTI7+dklStX5rrrrqNGjRrUqFGDqtWuYl1mdX46XZQbri7Ls/H1KF+2jF9/B90owK2AF1W1g/P4BQBVfc2rzYfAQlUd6zzeDNyK5+w2132z26jqPhGp6ux/wetU8lqAv/jiC9avX8/p06c5deoUJ0+e5OTJkxw/fpxjx47x22+/cfToUX799VeOHz/Olb3/H8Wq1Tm3/5m9P3Js2qvUia5FjRo1iImJoXbt2tStW5eGDRsSGRnpcxZjTN6oKrt37+b7779n8+bNbN68mR07drBr1y52/fQzZdrcR+nmnQgrUpys9NP8tnIax5aOpUL5cpQvX57SpUtTpkwZSpUqRcmSJSlZsiSRkZEUL16cyMhIBg0alOe+5/MVYH9eB3wVsNvrcSqes9yLtbnqIvtWUdV9AE4RviI/QwNMnjyZmTNnUrx4cYoXL06JEiXO/UOULl2aKlWqUK6c5x9rY1oG30sEmpWJhIWjmkWRK2rxyqTvgv4uHmMKIxHh6quv5uqrryYxMfEP295I3sTbC7Yg4Z7SF1akOKUaxtL8qhJElxOOHDnCsWPHOHbsGKmpqZw8eZITJ05w6tSpcydk999/f759+OfPApzb+XzO0+3ztfFl3wsfXKQ/0B/g6quvzsuuTJo0KU9/jmRkZjF03haWbE+jTa2KPJmjD9gYUzg8HVeXTIRRS3ZyOj2L4kXCeCjxBp6N6+3T/vndY+DPApwKVPd6HAXs9bFN0Qvse0BEqnp1QRzM7eCqOgIYAZ4uiLwEz2tfUER4GM/G1eHZPO1ljHHDU7ExCPzhhMlX+d1P7M8CvBKIFpGawB7gXuC+HG2mA4NEZByeLoajTmE9dIF9pwN9gdedr9P8+BqMMUGmMJ0w+a0Aq2qGiAwC5uC5lGyUqm4QkQHO9g+AJDxXQGzDcxnaXy60r/PUrwMTROQh4Gegu79egzHG+JPdiGGMMX5m4wEbY0whYwXYGGNcYgXYGGNcYgXYGGNcYgXYGGNcEhJXQTjXFf+Ux90qAb9ctJV/WQb3j28ZLEN+HP8aVa2cc2VIFOBLISKrcrtsxDKE1vEtg2Xw5/GtC8IYY1xiBdgYY1xiBfj8RrgdAMtQGI4PliGbZcjn41sfsDHGuMTOgI0xxiVWgI0xxiUhU4BFZJSIHBSRFK91L4rIHhFZ5ywJXtteEJFtIrJZRDp4rW8mIj84296WPIzQnJcMIlJRRL4WkeMi8m6O5ymoDLEisto51moRaedChhZe674Xka4FncFr+9XOv8czl5shj+9BDRE55bX+AzfeAxFpJCLLRGSDc8ziBZlBRO73WrdORLJEpEkBZygiImOcY20SZ77KS86gqiGxADcDTYEUr3UvAs/k0rYe8D1QDKgJbAfCnW0rgFZ4pk2aDcT7KUNJ4CZgAPBujm0FleF6oJrzfQNgjwsZSgARzvfZM6BEFGQGr+2TgYnebS41Qx7fgxre7Vz6WYgA1gONnccVC/p3Isd+DYEdLrwP9wHjvH42dwE1LjVDyJwBq+o3wGEfm3fG8yafUdWdeAaMbyGeKZDKqOoy9bzjnwBd/JFBVU+o6rfAae/1BZxhrapmTwW1ASguIsUKOMNJVc1wHhbHmRuwIDM4x+sC7MDzPmSvu+QMeT3+eTIV5HvQHlivqt87+6apamZB/zt46Qlkz6ZekBkUKCkiEUAkcBb47VIzhEwBvoBBIrLe+TOkvLPuQrM1p+ay3h8ZzsetDHcDa1X1TEFnEJGWIrIB+AEY4BTkAssgIiWB54CXcrT1R4bz/TvUFJG1IrJIRNr68fjnyxADqIjMEZE1IvI3FzJ464FTgAs4wyTgBLAPz4w8/09VD19qhlAvwO8DtYAmeN7QN5z1fputOQ8ZzqfAM4hIfeDfwMNuZFDV71S1PnAD8ILT91iQGV4Chqrq8Rzt8zvD+Y6/D7haVa8HngK+EJEyfjj+hTJE4OkSu9/52lVEbi/gDIDnP2TgpKpm99kWZIYWQCZQDU/35NMicu2lZvDnpJyFnqoeyP5eREYCM52H55utOdX5Pud6f2Q4nwLNICJRwJdAH1Xd7kYGrzabROQEnv7ogszQEugmIkOAckCWiJzG0yecbxnOd3znr44zzverRWQ7njPSgnwPUoFFqvqLsy0JT7/pZwWYIdu9/H72m52toDLcBySrajpwUESWAM2BxZeSIaTPgJ1+m2xdgez/UacD9zr9nTWBaGCFqu4DjonIjc4nnH24zFmZL5AhVwWZQUTKAbOAF1R1iUsZajr9bYjINUBtYFdBZlDVtqpaQ1VrAG8B/1LVd/M7wwXeg8oiEu58fy2en8cdBfzzOAdoJCIlnH+PW4CNBf07ISJheCbiHZe9roAz/Ay0E4+SwI3Aj5ecwddPCgN9wfM/5j4gHc//mA8Bn+LpV1yPp+hW9Wr/DzxXP2zG69NMPP/bpTjb3sW5m9BPGXbh+XDguNO+XkFmAAbj6e9a57VcUcAZeuP54GsdsAbo4sa/hdd+L/LHqyAuKUMe34O7nffge+c9SHTp57GXkyMFGOJShluB5bk8T0H9PJbCcyXMBmAj8OzlZLBbkY0xxiUh3QVhjDFusgJsjDEusQJsjDEusQJsjDEusQJsjDEusQJsjDEusQJsjDEusQJsgpaIPCwi++SPY8g2zNEm0hngJjwfjrdQvMaOdtY9ISLviUhREfkm+64+Y8AKsAlujYDBqtrEa/khR5sHgSmqmpkPxxuLZ5wCb/cCY1X1LLAAzyhexgBWgE1wa4jnFuYLuR/nnn3xzDzxo4h8JCIpIvK5iNwhIktEZKuItMjeSUR6icgK56z6Q+cMehJwp4gUy34+PKNmfevsNtU5njGAFWAT3OoDH3t1P/T33igiRYFrVXWX1+rrgGF4zp7r4Bn96ibgGeDvzn518ZzJtlHVJniGJ7xfVdPwzIoQ5zzXvcB4/f1+/xQ8Q2oaA4T4cJQmeIlIdeCgqja6QLNKwK851u3M7qYQzyDwC1RVReQHPFMDAdwONANWega+IhLPVEnwezfENOfrg9lPrJ4ZJM6KSGlVPXYZL88ECSvAJlg1An68SJtTeKY58nbG6/ssr8dZ/P77IsAYVX2BP5sKvCkiTYFIVV2TY3sxckwzZUKXdUGYYNWQixRgVT0ChDszbOTFAjwDtF8BICIVnLGKUc+sGQuBUfxx0HBEpCJwSD2DeRtjBdgErYZAb6/+37UiUiqXdnPx9PH6TFU34hkrea6IrAfm4ZmxOdtYoDFeg4Y7bgOS8nIsE9xsPGAT0kTkeuApVe1dAMeagmd2kc3+PpYJDHYGbEKaqq4Fvs6PGzEuxLniYqoVX+PNzoCNMcYldgZsjDEusQJsjDEusQJsjDEusQJsjDEusQJsjDEusQJsjDEu+f8Bi88BYEHOn88AAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 360x288 with 1 Axes>"
       ]
@@ -65,14 +65,14 @@
     }
    ],
    "source": [
-    "# Create sample\n",
-    "## SAMPLE SIZE\n",
+    "# Prepare toy data\n",
+    "\n",
+    "# sample size\n",
     "sample_size = 5000\n",
-    "##################\n",
     "\n",
-    "# Prepare toy data\n",
-    "mu = 1540  # True values that we will try to estimate\n",
-    "sigma = 11 # using a least-squares fit\n",
+    "# True values that we will try to estimate\n",
+    "mu          = 1540  \n",
+    "sigma       = 11    \n",
     "\n",
     "x_arr = np.linspace(1500, 1580, 101)\n",
     "bins = 10\n",
@@ -80,23 +80,24 @@
     "hist = np.histogram(sample, bins=bins, range=(1500, 1580))\n",
     "bin_width = np.diff(hist[1])[0]\n",
     "normalization = bin_width * sample_size\n",
-    "x = hist[1][:-1]+bin_width/2\n",
+    "x = hist[1][:-1]+bin_width/2 # bin centre\n",
     "y = hist[0]/normalization\n",
     "y_errors = np.sqrt( (np.sqrt(hist[0]) / normalization) **2) #sqrt(x^2) just to take the positive value\n",
     "\n",
-    "# Plot our toy measurement results\n",
+    "# plot our toy measurement results\n",
     "plt.figure(figsize=(5, 4))\n",
     "plt.xlabel(r'$E$ (meV)')\n",
     "plt.ylabel('count rate')\n",
-    "plt.plot(x_arr, gaussian_parent(x_arr, mu, sigma), '-', color='black', label='parent')\n",
     "plt.errorbar(x, y, yerr=y_errors, fmt='.', ms=7, capsize=3, label='sample')\n",
+    "\n",
+    "# plot the parent distribution\n",
+    "plt.plot(x_arr, gaussian_parent(x_arr, mu, sigma), '-', color='black', label='parent')\n",
     "plt.legend()\n",
     "plt.tight_layout()\n",
     "\n",
     "# Save data\n",
     "data = np.vstack((x, y, y_errors))\n",
-    "np.savetxt('data', data)\n",
-    "np.savetxt('sample', sample)"
+    "np.savetxt('data', data)"
    ]
   },
   {
@@ -105,13 +106,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Load data from disk. Format (3,12): (x, y, y_error) x N \n",
+    "# Load data from disk. Format: (x, y, y_error) x N \n",
     "data = np.loadtxt('data')\n",
     "x = data[0, :]\n",
     "y = data[1, :]\n",
-    "y_error = data[2, :]\n",
-    "# The sample used to generate\n",
-    "sample = np.loadtxt('sample')"
+    "y_error = data[2, :]"
    ]
   },
   {
@@ -128,7 +127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -136,36 +135,29 @@
      "output_type": "stream",
      "text": [
       "Fit Results:\n",
-      "mu = 1539.8 +- 0.2\n",
-      "sigma = 11.2 +- 0.1\n"
+      "mu = 1539.8750 +- 0.1596\n",
+      "sigma = 11.2608 +- 0.1133\n"
      ]
     }
    ],
    "source": [
-    "# Perform the fit minimizing least squares\n",
+    "# Perform the fit minimizing least squares using curve_fit\n",
     "initial_values = [1545, 9]\n",
     "p_opt, p_cov = curve_fit(model_function, x, y, p0=initial_values, sigma=y_error, absolute_sigma=True, check_finite=True)\n",
     "p_err = np.sqrt(np.diag(p_cov))\n",
     "print('Fit Results:')\n",
-    "print('mu = {:1.1f} +- {:1.1f}'.format(p_opt[0], p_err[0]))\n",
-    "print('sigma = {:1.1f} +- {:1.1f}'.format(p_opt[1], p_err[1]))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Plot the result"
+    "print('mu = {:1.4f} +- {:1.4f}'.format(p_opt[0], p_err[0]))\n",
+    "print('sigma = {:1.4f} +- {:1.4f}'.format(p_opt[1], p_err[1]))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 360x288 with 1 Axes>"
       ]
@@ -177,6 +169,7 @@
     }
    ],
    "source": [
+    "# plot the results\n",
     "x_arr = np.linspace(1500, 1580, 101)\n",
     "\n",
     "plt.figure(figsize=(5, 4))\n",
@@ -195,13 +188,6 @@
    "source": [
     "What happens if you reduce significantly the number of events or increase the number of bins ? (mind empty bins!)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/notebooks/leastSquaresFits_minimize.ipynb b/notebooks/leastSquaresFits_minimize.ipynb
index 1eea5b6a50fe27311b0c333f9aad331f6d199bd4..fb5c18714f6686e1ba561811e6551d59cc4410ef 100644
--- a/notebooks/leastSquaresFits_minimize.ipynb
+++ b/notebooks/leastSquaresFits_minimize.ipynb
@@ -23,13 +23,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
+    "# from __future__ import print_function\n",
     "import numpy as np\n",
     "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
     "from scipy.optimize import minimize\n",
-    "from scipy.optimize import Bounds\n",
-    "from scipy.stats import norm, chi2, lognorm"
+    "from scipy.stats import norm, chi2"
    ]
   },
   {
@@ -60,7 +59,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 360x288 with 1 Axes>"
       ]
@@ -112,25 +111,42 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Load data from disk. Format (3,12): (x, y, y_error) x N \n",
+    "# Load data from disk. Format (x, y, y_error) x N \n",
     "data = np.loadtxt('data')\n",
     "x = data[0, :]\n",
     "y = data[1, :]\n",
-    "y_error = data[2, :]\n",
-    "# The sample used to generate\n",
-    "sample = np.loadtxt('sample')"
+    "y_error = data[2, :]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# The function to be minimized.\n",
+    "\n",
+    "# chi2 definition\n",
+    "def chi2(args):\n",
+    "    mu    = args[0]\n",
+    "    sigma = args[1]\n",
+    "    \n",
+    "    model = np.array([norm.pdf(e, mu, sigma) for e in x])\n",
+    "\n",
+    "    chisq = np.sum(((y - model)/y_error)**2)\n",
+    "    return chisq"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
    "metadata": {
     "scrolled": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -142,18 +158,7 @@
     }
    ],
    "source": [
-    "# The objective function to be minimized.\n",
-    "\n",
-    "# chi2 definition\n",
-    "def chi2(args):\n",
-    "    mu    = args[0]\n",
-    "    sigma = args[1]\n",
-    "    \n",
-    "    model = np.array([norm.pdf(e, mu, sigma) for e in x])\n",
-    "\n",
-    "    chisq = np.sum(((y - model)/y_error)**2)\n",
-    "    return chisq\n",
-    "\n",
+    "# scan of the 2D parameters space\n",
     "scanMu    = np.linspace(1538.,1542.0,25)\n",
     "scanSigma = np.linspace(10,12,25)\n",
     "Z_binned =  [[chi2((a,b)) for a in scanMu] for b in scanSigma]\n",
@@ -165,32 +170,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "mu = 1539.8898 +- 0.1124\n",
-      "sigma = 11.2214 +- 0.0808\n",
-      "      fun: 3.0017805277361016\n",
-      " hess_inv: array([[0.01264244, 0.00026046],\n",
-      "       [0.00026046, 0.00652938]])\n",
-      "      jac: array([ 3.87430191e-07, -9.83476639e-07])\n",
+      "mu = 1539.9398 +- 0.1130\n",
+      "sigma = 11.2781 +- 0.0808\n",
+      "      fun: 6.6006946596971146\n",
+      " hess_inv: array([[ 0.01276412, -0.00024784],\n",
+      "       [-0.00024784,  0.00652613]])\n",
+      "      jac: array([-4.76837158e-07,  3.03983688e-06])\n",
       "  message: 'Optimization terminated successfully.'\n",
-      "     nfev: 39\n",
-      "      nit: 11\n",
-      "     njev: 13\n",
+      "     nfev: 36\n",
+      "      nit: 10\n",
+      "     njev: 12\n",
       "   status: 0\n",
       "  success: True\n",
-      "        x: array([1539.88978469,   11.22137155])\n"
+      "        x: array([1539.9398246 ,   11.27809987])\n"
      ]
     }
    ],
    "source": [
     "# Perform the fit minimizing the least squares\n",
-    "\n",
     "res = minimize(chi2, [1545, 9])\n",
     "err = np.sqrt(np.diag(res.hess_inv))\n",
     "print('mu = {:1.4f} +- {:1.4f}'.format(res.x[0], err[0]))\n",
@@ -198,6 +202,13 @@
     "print (res)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Compare with the parameters scan "
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -207,7 +218,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -218,12 +229,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 360x288 with 1 Axes>"
       ]
diff --git a/notebooks/leastSquaresFits_straightLine.ipynb b/notebooks/leastSquaresFits_straightLine.ipynb
index d5d477c1b23cd74c419215890d6dc6ac22745911..36e50f7df2d8e5f8a875d668940ec031affc7d7f 100644
--- a/notebooks/leastSquaresFits_straightLine.ipynb
+++ b/notebooks/leastSquaresFits_straightLine.ipynb
@@ -17,11 +17,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from __future__ import print_function\n",
     "import numpy as np\n",
     "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
-    "from scipy.stats import norm, chi2, lognorm"
+    "from scipy.stats import norm, chi2"
    ]
   },
   {
@@ -29,30 +28,60 @@
    "metadata": {},
    "source": [
     "## Fit a polynomial\n",
-    "We start by fitting a polynomial to a given data set, in particular, a parabola. Compare a linear fit and a parabolic fit and check the goodness of fits with chi squared distributions. Explore how the different uncertainties affect the outcome and uncertainties of the fit"
+    "We start by fitting a polynomial to a given data set (a parabola). Compare a linear fit and a parabolic fit and check the goodness of fits."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.   0.02 0.04 0.06 0.08 0.1  0.12 0.14 0.16 0.18 0.2  0.22 0.24 0.26\n",
+      " 0.28 0.3  0.32 0.34 0.36 0.38 0.4  0.42 0.44 0.46 0.48 0.5  0.52 0.54\n",
+      " 0.56 0.58 0.6  0.62 0.64 0.66 0.68 0.7  0.72 0.74 0.76 0.78 0.8  0.82\n",
+      " 0.84 0.86 0.88 0.9  0.92 0.94 0.96 0.98 1.  ]\n",
+      "[0.98548098 0.99752519 1.0017913  1.00027711 1.00030276 0.99710203\n",
+      " 0.99678924 0.99742363 1.00052794 0.98873975 1.00158866 0.9949598\n",
+      " 0.99731542 0.99210625 0.9900523  0.98296144 0.9884051  0.99017416\n",
+      " 0.99130175 0.98274526 0.98051341 0.98678898 0.98587282 0.99022773\n",
+      " 0.97243217 0.97806708 0.97493948 0.97051971 0.97020392 0.97232551\n",
+      " 0.96158309 0.96457575 0.95973117 0.95331503 0.96107087 0.95851369\n",
+      " 0.95073656 0.94054743 0.94976237 0.94757994 0.93539882 0.92902464\n",
+      " 0.93347937 0.92811715 0.92542277 0.92045739 0.91158974 0.91055158\n",
+      " 0.91424383 0.91147033 0.89600651]\n"
+     ]
+    }
+   ],
    "source": [
-    "# Create some data distribuited as parabola with normally distributed errors.\n",
+    "# Create some data distribuited as parabola with noise (normally distributed errors).\n",
+    "\n",
     "def parabola(x, a, b, c):\n",
     "    return a*x**2 + b*x + c\n",
     "def error(x, sigma):\n",
     "    return norm.rvs(0.0, sigma, x.size) \n",
+    "\n",
+    "# parabola's parameters\n",
     "a = -0.1\n",
     "b = 0\n",
     "c = 1\n",
-    "sigma_y = 0.005\n",
+    "sigma_y = 0.005 \n",
+    "\n",
+    "# the points on the x-axis\n",
+    "x = np.linspace(0, 1, 51) #51 to have points at 0.0 and 1.0\n",
+    "print(x)\n",
     "\n",
-    "x = np.linspace(0, 1, 21)\n",
+    "# generate the data\n",
     "y_true = parabola(x, a, b, c)\n",
-    "delta_y = error(x, sigma_y)\n",
+    "\n",
+    "# add the noise\n",
+    "delta_y = error(x, sigma_y) \n",
     "y = y_true + delta_y\n",
-    "y_error = sigma_y * np.ones(x.size)"
+    "y_error = sigma_y * np.ones(x.size)\n",
+    "print(y)"
    ]
   },
   {
@@ -93,17 +122,17 @@
      "output_type": "stream",
      "text": [
       "Fit with a straight line\n",
-      "a = -0.1028  +/- 0.0064\n",
-      "b = 1.0186  +/- 0.0037\n",
+      "a = -0.0953  +/- 0.0048\n",
+      "b = 1.0148  +/- 0.0028\n",
       "Fit with a parabola\n",
-      "a = -0.0951  +/- 0.0094\n",
-      "b = -0.0077  +/- 0.0097\n",
-      "c = 1.0035  +/- 0.0021\n"
+      "a = -0.1132  +/- 0.0082\n",
+      "b = 0.0179  +/- 0.0085\n",
+      "c = 0.9963  +/- 0.0018\n"
      ]
     }
    ],
    "source": [
-    "# Get the fitted parameters and their uncertainties\n",
+    "# Get the fitted parameters and their uncertainties (use some reasonable number of significant digits)\n",
     "\n",
     "print (\"Fit with a straight line\")\n",
     "errPars_1 = np.sqrt(np.diag(cov_1))\n",
@@ -128,37 +157,131 @@
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Parabola: mu = 0.0000 ; sigma = 1.9624\n",
+      "Parabola: mu = 0.0000 ; sigma = 0.8809\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 360x540 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plot the data, the truth (the parabola used to generate the data), the fit to a straight line fit, and the fit to a parabola\n",
+    "f, ax = plt.subplots(4,1, figsize=(5, 7.5))\n",
+    "ax[0].set_title('fits')\n",
+    "ax[0].errorbar(x, y, yerr=y_error, fmt='k.')\n",
+    "ax[0].plot(x, y_true, 'k--',label='truth') # true parabola\n",
+    "ax[0].plot(x, np.polyval(fit_1, x), label='line', color='green')\n",
+    "ax[0].plot(x, np.polyval(fit, x), label='parabola', color='blue')\n",
+    "ax[0].legend()\n",
+    "\n",
+    "# plot of the residuals\n",
+    "ax[1].errorbar(x,y - np.polyval(fit_1, x), yerr=y_error, fmt='.', color='green')\n",
+    "ax[1].errorbar(x,y - np.polyval(fit, x), yerr=y_error, fmt='.', color='blue')\n",
+    "ax[1].set_title('residuals')\n",
+    "ax[1].plot(x,np.polyval([0,0], x), label='line', color='red')\n",
+    "\n",
+    "# plot of the pulls\n",
+    "pulls_1 = (y - np.polyval(fit_1, x))/y_error\n",
+    "pulls   = (y - np.polyval(fit, x))/y_error\n",
+    "ax[2].errorbar(x,pulls_1, yerr=y_error, fmt='.', color='green')\n",
+    "ax[2].errorbar(x,pulls, yerr=y_error, fmt='.', color='blue')\n",
+    "ax[2].set_title('pulls')\n",
+    "band = np.ones(x.size) #draw a grey band showing sigma = 1\n",
+    "ax[2].fill_between(ax[1].get_xlim(), -1, 1, color='grey', alpha=0.4, label=r'$1\\sigma$')\n",
+    "ax[2].plot(x,np.polyval([0,0], x), label='line', color='red')\n",
+    "\n",
+    "# plot the pulls distribution\n",
+    "bins = np.linspace(-5, 5, 10)\n",
+    "ax[3].set_title('pulls distribution')\n",
+    "ax[3].hist(pulls_1, bins , color='green', alpha = 0.5)\n",
+    "ax[3].hist(pulls,   bins , color='blue' , alpha = 0.5)\n",
+    "\n",
+    "# fit the pull distributions with a gaussian\n",
+    "import scipy\n",
+    "h1, bins_1, _ = plt.hist(pulls_1, bins, range = (-5,5), alpha=0.5)\n",
+    "mu_1, sigma_1 = scipy.stats.norm.fit(pulls_1)\n",
+    "print (\"Parabola: mu = {:1.4f} ; sigma = {:1.4f}\".format(mu_1, sigma_1))\n",
+    "bins_1x = np.linspace(-5, 5, 100)\n",
+    "best_fit_line_1 = scipy.stats.norm.pdf(bins_1x, mu_1, sigma_1)\n",
+    "plt.plot(bins_1x, best_fit_line_1*np.sum(h1))\n",
+    "\n",
+    "h, bins, _ = plt.hist(pulls, bins, range = (-5,5), alpha=0.5)\n",
+    "mu, sigma = scipy.stats.norm.fit(pulls)\n",
+    "print (\"Parabola: mu = {:1.4f} ; sigma = {:1.4f}\".format(mu, sigma))\n",
+    "bins_x = np.linspace(-5, 5, 100)\n",
+    "best_fit_line = scipy.stats.norm.pdf(bins_x, mu, sigma)\n",
+    "plt.plot(bins_x, best_fit_line*np.sum(h))\n",
+    "\n",
+    "\n",
+    "ax[1].legend()\n",
+    "f.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Why one pull distribution is larger than the other ? Why they are both symmetric ?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Reduced chi^2, dof:\n",
-      "straight line: 59.5775  ; dof= 20\n",
-      "parabola: 8.8565  ; dof= 19\n"
+      "straight line: 196.4101  ; dof= 50\n",
+      "parabola: 39.5731  ; dof= 49\n"
      ]
     }
    ],
    "source": [
+    "# compute the (reduced) chi2 \n",
     "print ('Reduced chi^2, dof:')\n",
-    "print ('straight line: {:.4f}'.format(chisq_1), \" ; dof=\",dof_1) \n",
+    "print ('straight line: {:.4f}'.format(chisq_1), \" ; dof=\",dof_1)\n",
     "print ('parabola: {:.4f}'     .format(chisq  ), \" ; dof=\",dof) "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "What can you say about the chi2/ndof ?"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# p-value for test \\alpha for confidence interval\n",
+    "# p-value for the chi2\n",
     "def evaluate_chisq(chisq, dof):\n",
     "    return chi2.sf(chisq, dof)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -166,8 +289,8 @@
      "output_type": "stream",
      "text": [
       "Chi^2 p-values\n",
-      "straight line: chi2=59.5775  ; dof= 20  ; p-value=0.0000082774\n",
-      "parabola:      chi2=8.8565  ; dof= 19  ; p-value=0.9757873149\n"
+      "straight line: chi2=196.4101  ; dof= 50  ; p-value=0.0000000000\n",
+      "parabola:      chi2=39.5731  ; dof= 49  ; p-value=0.8296291995\n"
      ]
     }
    ],
@@ -178,47 +301,10 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 8,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 360x540 with 3 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
    "source": [
-    "f, ax = plt.subplots(3,1, figsize=(5, 7.5))\n",
-    "ax[0].set_title('fits')\n",
-    "ax[0].errorbar(x, y, yerr=y_error, fmt='k.')\n",
-    "ax[0].plot(x, y_true, 'k--',label='truth') # true parabola\n",
-    "ax[0].plot(x, np.polyval(fit_1, x), label='line', color='green')\n",
-    "ax[0].plot(x, np.polyval(fit, x), label='parabola', color='blue')\n",
-    "ax[0].legend()\n",
-    "\n",
-    "ax[1].errorbar(x,y - np.polyval(fit_1, x), yerr=y_error, fmt='.', color='green')\n",
-    "ax[1].errorbar(x,y - np.polyval(fit, x), yerr=y_error, fmt='.', color='blue')\n",
-    "ax[1].set_title('residuals')\n",
-    "ax[1].plot(x,np.polyval([0,0], x), label='line', color='red')\n",
-    "\n",
-    "ax[2].errorbar(x,(y - np.polyval(fit_1, x))/y_error, yerr=y_error, fmt='.', color='green')\n",
-    "ax[2].errorbar(x,(y - np.polyval(fit, x))/y_error, yerr=y_error, fmt='.', color='blue')\n",
-    "ax[2].set_title('pulls')\n",
-    "\n",
-    "band = np.ones(x.size) #draw a grey band showing sigma = 1\n",
-    "ax[2].fill_between(ax[1].get_xlim(), -1, 1, color='grey', alpha=0.4, label=r'$1\\sigma$')\n",
-    "ax[2].plot(x,np.polyval([0,0], x), label='line', color='red')\n",
-    "\n",
-    "ax[1].legend()\n",
-    "f.tight_layout()"
+    "How does the p-value compares to the chi2/ndof ?"
    ]
   },
   {
@@ -228,7 +314,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 504x360 with 1 Axes>"
       ]
@@ -254,20 +340,6 @@
     "plt.legend()\n",
     "plt.tight_layout()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {