diff --git a/code/Test_with_dynesty.ipynb b/code/Test_with_dynesty.ipynb
index 7fbf5e544f61363e78120bfabb0ef1d69e01233c..e51e515e06288369db0093431cb26d0b368724e5 100644
--- a/code/Test_with_dynesty.ipynb
+++ b/code/Test_with_dynesty.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -20,7 +20,7 @@
     "from matplotlib.ticker import MaxNLocator\n",
     "from matplotlib import rc\n",
     "plt.rcParams['font.family'] = 'DejaVu Sans'\n",
-    "rc('text', usetex=True)\n",
+    "rc('text', usetex=False)\n",
     "plt.rcParams.update({'font.size': 19})\n",
     "import pandas as pd\n",
     "import ptemcee\n",
@@ -125,22 +125,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x1275e2320>"
+       "<matplotlib.legend.Legend at 0x7f1bb1e56ba8>"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     },
+    {
+     "ename": "RuntimeError",
+     "evalue": "latex was not able to process the following string:\nb'lp'\n\nHere is the full report generated by latex:\nThis is pdfTeX, Version 3.14159265-2.6-1.40.15 (TeX Live 2015/dev/Debian) (preloaded format=latex)\n restricted \\write18 enabled.\nentering extended mode\n\n(/home/francisco.jimenez/.cache/matplotlib/tex.cache/cc27928ecd241c497a2a9521a2\ne16901.tex\nLaTeX2e <2014/05/01>\nBabel <3.9l> and hyphenation patterns for 2 languages loaded.\n(/usr/share/texlive/texmf-dist/tex/latex/base/article.cls\nDocument Class: article 2014/09/29 v1.4h Standard LaTeX document class\n(/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))\n(/usr/share/texlive/texmf-dist/tex/latex/type1cm/type1cm.sty)\n\n! LaTeX Error: File `type1ec.sty' not found.\n\nType X to quit or <RETURN> to proceed,\nor enter new name. (Default extension: sty)\n\nEnter file name: \n! Emergency stop.\n<read *> \n         \nl.6 \\usepackage\n               {type1ec}^^M\nNo pages of output.\nTranscript written on cc27928ecd241c497a2a9521a2e16901.log.\n\n\n",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mCalledProcessError\u001b[0m                        Traceback (most recent call last)",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/texmanager.py\u001b[0m in \u001b[0;36m_run_checked_subprocess\u001b[0;34m(self, command, tex)\u001b[0m\n\u001b[1;32m    276\u001b[0m                                              \u001b[0mcwd\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtexcache\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 277\u001b[0;31m                                              stderr=subprocess.STDOUT)\n\u001b[0m\u001b[1;32m    278\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mFileNotFoundError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/subprocess.py\u001b[0m in \u001b[0;36mcheck_output\u001b[0;34m(timeout, *popenargs, **kwargs)\u001b[0m\n\u001b[1;32m    335\u001b[0m     return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,\n\u001b[0;32m--> 336\u001b[0;31m                **kwargs).stdout\n\u001b[0m\u001b[1;32m    337\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/subprocess.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(input, timeout, check, *popenargs, **kwargs)\u001b[0m\n\u001b[1;32m    417\u001b[0m             raise CalledProcessError(retcode, process.args,\n\u001b[0;32m--> 418\u001b[0;31m                                      output=stdout, stderr=stderr)\n\u001b[0m\u001b[1;32m    419\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mCompletedProcess\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprocess\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretcode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstdout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstderr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mCalledProcessError\u001b[0m: Command '['latex', '-interaction=nonstopmode', '--halt-on-error', '/home/francisco.jimenez/.cache/matplotlib/tex.cache/cc27928ecd241c497a2a9521a2e16901.tex']' returned non-zero exit status 1.",
+      "\nThe above exception was the direct cause of the following exception:\n",
+      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    339\u001b[0m                 \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    340\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 341\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mprinter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    342\u001b[0m             \u001b[0;31m# Finally look for special method names\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    343\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_real_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_method\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(fig)\u001b[0m\n\u001b[1;32m    246\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    247\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'png'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 248\u001b[0;31m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'png'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    249\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'retina'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m'png2x'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mretina_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(fig, fmt, bbox_inches, **kwargs)\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0mFigureCanvasBase\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 132\u001b[0;31m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbytes_io\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    133\u001b[0m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbytes_io\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    134\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfmt\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'svg'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/backend_bases.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[1;32m   2191\u001b[0m                            else suppress())\n\u001b[1;32m   2192\u001b[0m                     \u001b[0;32mwith\u001b[0m \u001b[0mctx\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2193\u001b[0;31m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2194\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2195\u001b[0m                     bbox_inches = self.figure.get_tightbbox(\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     39\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     42\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/figure.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m   1862\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpatch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1863\u001b[0m             mimage._draw_list_compositing_images(\n\u001b[0;32m-> 1864\u001b[0;31m                 renderer, self, artists, self.suppressComposite)\n\u001b[0m\u001b[1;32m   1865\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1866\u001b[0m             \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'figure'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m    129\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mnot_composite\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_images\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 131\u001b[0;31m             \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    132\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    133\u001b[0m         \u001b[0;31m# Composite any adjacent images together\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     39\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     42\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/cbook/deprecation.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*inner_args, **inner_kwargs)\u001b[0m\n\u001b[1;32m    409\u001b[0m                          \u001b[0;32melse\u001b[0m \u001b[0mdeprecation_addendum\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    410\u001b[0m                 **kwargs)\n\u001b[0;32m--> 411\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minner_args\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0minner_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    412\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    413\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer, inframe)\u001b[0m\n\u001b[1;32m   2746\u001b[0m             \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstop_rasterizing\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2747\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2748\u001b[0;31m         \u001b[0mmimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_draw_list_compositing_images\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2749\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2750\u001b[0m         \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose_group\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'axes'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/image.py\u001b[0m in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m    129\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mnot_composite\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mhas_images\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0martists\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 131\u001b[0;31m             \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    132\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    133\u001b[0m         \u001b[0;31m# Composite any adjacent images together\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/artist.py\u001b[0m in \u001b[0;36mdraw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     39\u001b[0m                 \u001b[0mrenderer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     40\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0martist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     42\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     43\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0martist\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_agg_filter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/axis.py\u001b[0m in \u001b[0;36mdraw\u001b[0;34m(self, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1164\u001b[0m         \u001b[0mticks_to_draw\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_update_ticks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1165\u001b[0m         ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,\n\u001b[0;32m-> 1166\u001b[0;31m                                                                 renderer)\n\u001b[0m\u001b[1;32m   1167\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1168\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mtick\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mticks_to_draw\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/axis.py\u001b[0m in \u001b[0;36m_get_tick_bboxes\u001b[0;34m(self, ticks, renderer)\u001b[0m\n\u001b[1;32m   1090\u001b[0m         \u001b[0;34m\"\"\"Return lists of bboxes for ticks' label1's and label2's.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1091\u001b[0m         return ([tick.label1.get_window_extent(renderer)\n\u001b[0;32m-> 1092\u001b[0;31m                  for tick in ticks if tick.label1.get_visible()],\n\u001b[0m\u001b[1;32m   1093\u001b[0m                 [tick.label2.get_window_extent(renderer)\n\u001b[1;32m   1094\u001b[0m                  for tick in ticks if tick.label2.get_visible()])\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/axis.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m   1090\u001b[0m         \u001b[0;34m\"\"\"Return lists of bboxes for ticks' label1's and label2's.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1091\u001b[0m         return ([tick.label1.get_window_extent(renderer)\n\u001b[0;32m-> 1092\u001b[0;31m                  for tick in ticks if tick.label1.get_visible()],\n\u001b[0m\u001b[1;32m   1093\u001b[0m                 [tick.label2.get_window_extent(renderer)\n\u001b[1;32m   1094\u001b[0m                  for tick in ticks if tick.label2.get_visible()])\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/text.py\u001b[0m in \u001b[0;36mget_window_extent\u001b[0;34m(self, renderer, dpi)\u001b[0m\n\u001b[1;32m    898\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    899\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setattr_cm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdpi\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdpi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 900\u001b[0;31m             \u001b[0mbbox\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minfo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdescent\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_layout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_renderer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    901\u001b[0m             \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_unitless_position\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    902\u001b[0m             \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_transform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/text.py\u001b[0m in \u001b[0;36m_get_layout\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m    285\u001b[0m         _, lp_h, lp_d = renderer.get_text_width_height_descent(\n\u001b[1;32m    286\u001b[0m             \u001b[0;34m\"lp\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_fontproperties\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 287\u001b[0;31m             ismath=\"TeX\" if self.get_usetex() else False)\n\u001b[0m\u001b[1;32m    288\u001b[0m         \u001b[0mmin_dy\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mlp_h\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mlp_d\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_linespacing\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    289\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36mget_text_width_height_descent\u001b[0;34m(self, s, prop, ismath)\u001b[0m\n\u001b[1;32m    226\u001b[0m             \u001b[0mfontsize\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mprop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_size_in_points\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    227\u001b[0m             w, h, d = texmanager.get_text_width_height_descent(\n\u001b[0;32m--> 228\u001b[0;31m                 s, fontsize, renderer=self)\n\u001b[0m\u001b[1;32m    229\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mw\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mh\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0md\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    230\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/texmanager.py\u001b[0m in \u001b[0;36mget_text_width_height_descent\u001b[0;34m(self, tex, fontsize, renderer)\u001b[0m\n\u001b[1;32m    421\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    422\u001b[0m             \u001b[0;31m# use dviread.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 423\u001b[0;31m             \u001b[0mdvifile\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmake_dvi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfontsize\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    424\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mdviread\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDvi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdvifile\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m72\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mdpi_fraction\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mdvi\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    425\u001b[0m                 \u001b[0mpage\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdvi\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/texmanager.py\u001b[0m in \u001b[0;36mmake_dvi\u001b[0;34m(self, tex, fontsize)\u001b[0m\n\u001b[1;32m    309\u001b[0m                 self._run_checked_subprocess(\n\u001b[1;32m    310\u001b[0m                     [\"latex\", \"-interaction=nonstopmode\", \"--halt-on-error\",\n\u001b[0;32m--> 311\u001b[0;31m                      texfile], tex)\n\u001b[0m\u001b[1;32m    312\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mfname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mglob\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mglob\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbasefile\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m'*'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    313\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mfname\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mendswith\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'dvi'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'tex'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/work/francisco.jimenez/sio/pyenv/versions/3.6.6/lib/python3.6/site-packages/matplotlib/texmanager.py\u001b[0m in \u001b[0;36m_run_checked_subprocess\u001b[0;34m(self, command, tex)\u001b[0m\n\u001b[1;32m    288\u001b[0m                     \u001b[0mprog\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcommand\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    289\u001b[0m                     \u001b[0mtex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mencode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'unicode_escape'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 290\u001b[0;31m                     exc=exc.output.decode('utf-8'))) from exc\n\u001b[0m\u001b[1;32m    291\u001b[0m         \u001b[0m_log\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdebug\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreport\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    292\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mreport\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mRuntimeError\u001b[0m: latex was not able to process the following string:\nb'lp'\n\nHere is the full report generated by latex:\nThis is pdfTeX, Version 3.14159265-2.6-1.40.15 (TeX Live 2015/dev/Debian) (preloaded format=latex)\n restricted \\write18 enabled.\nentering extended mode\n\n(/home/francisco.jimenez/.cache/matplotlib/tex.cache/cc27928ecd241c497a2a9521a2\ne16901.tex\nLaTeX2e <2014/05/01>\nBabel <3.9l> and hyphenation patterns for 2 languages loaded.\n(/usr/share/texlive/texmf-dist/tex/latex/base/article.cls\nDocument Class: article 2014/09/29 v1.4h Standard LaTeX document class\n(/usr/share/texlive/texmf-dist/tex/latex/base/size10.clo))\n(/usr/share/texlive/texmf-dist/tex/latex/type1cm/type1cm.sty)\n\n! LaTeX Error: File `type1ec.sty' not found.\n\nType X to quit or <RETURN> to proceed,\nor enter new name. (Default extension: sty)\n\nEnter file name: \n! Emergency stop.\n<read *> \n         \nl.6 \\usepackage\n               {type1ec}^^M\nNo pages of output.\nTranscript written on cc27928ecd241c497a2a9521a2e16901.log.\n\n\n"
+     ]
+    },
     {
      "data": {
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\n",
       "text/plain": [
        "<Figure size 864x576 with 1 Axes>"
       ]
@@ -178,7 +214,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -187,7 +223,7 @@
        "'\\ndef log_probability(theta):\\n    lp = log_prior(theta)\\n    if not np.isfinite(lp):\\n        return -np.inf\\n    return lp + log_likelihood(theta)\\n'"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -245,7 +281,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -254,7 +290,7 @@
        "array([0., 1., 1., 0.])"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -266,16 +302,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "-405.2351381127872"
+       "-180.2254947367536"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -286,7 +322,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -295,9 +331,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "SyntaxError",
+     "evalue": "invalid syntax (<ipython-input-7-f03a062c89ea>, line 8)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-7-f03a062c89ea>\"\u001b[0;36m, line \u001b[0;32m8\u001b[0m\n\u001b[0;31m    paramlabels_corner =\u001b[0m\n\u001b[0m                         ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
+     ]
+    }
+   ],
    "source": [
     "#Define labels used in plotting\n",
     "paramlabels_a = [r'$\\alpha_0$', r'$\\alpha_1$']\n",
@@ -311,7 +356,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -491,7 +536,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -509,7 +554,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -532,7 +577,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -611,17 +656,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [],
    "source": [
-    "rootpath=\"/Users/xisco\"\n",
-    "project_path=rootpath+\"/git/rdstackingproject\""
+    "import h5py\n",
+    "import json\n",
+    "import qnm"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rootpath=\"/work/francisco.jimenez\"\n",
+    "project_path=rootpath+\"/sio/git/rdstackingproject\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -640,7 +696,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -651,7 +707,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -662,7 +718,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -678,42 +734,242 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 39,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "OSError",
-     "evalue": "Unable to open file (unable to open file: name = '/Users/xisco/SXS/BBH_SKS_d14.3_q1.22_sA_0_0_0.330_sB_0_0_-0.440/Lev6/rhOverM_Asymptotic_GeometricUnits_CoM.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mOSError\u001b[0m                                   Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-71-8b7d682dc6b7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m#This loads the 22 mode data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mgw\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mgw\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"SXS:BBH:0305\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mh5py\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"/Users/xisco/SXS/BBH_SKS_d14.3_q1.22_sA_0_0_0.330_sB_0_0_-0.440/Lev6/rhOverM_Asymptotic_GeometricUnits_CoM.h5\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'r'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mgw_sxs_bbh_0305\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgw\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"SXS:BBH:0305\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Extrapolated_N2.dir\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Y_l2_m2.dat\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Library/Python/3.7/lib/python/site-packages/h5py/_hl/files.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, name, mode, driver, libver, userblock_size, swmr, rdcc_nslots, rdcc_nbytes, rdcc_w0, track_order, **kwds)\u001b[0m\n\u001b[1;32m    406\u001b[0m                 fid = make_fid(name, mode, userblock_size,\n\u001b[1;32m    407\u001b[0m                                \u001b[0mfapl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfcpl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmake_fcpl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrack_order\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrack_order\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 408\u001b[0;31m                                swmr=swmr)\n\u001b[0m\u001b[1;32m    409\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    410\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlibver\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Library/Python/3.7/lib/python/site-packages/h5py/_hl/files.py\u001b[0m in \u001b[0;36mmake_fid\u001b[0;34m(name, mode, userblock_size, fapl, fcpl, swmr)\u001b[0m\n\u001b[1;32m    171\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mswmr\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mswmr_support\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    172\u001b[0m             \u001b[0mflags\u001b[0m \u001b[0;34m|=\u001b[0m \u001b[0mh5f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mACC_SWMR_READ\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 173\u001b[0;31m         \u001b[0mfid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mh5f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mflags\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfapl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfapl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    174\u001b[0m     \u001b[0;32melif\u001b[0m \u001b[0mmode\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'r+'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    175\u001b[0m         \u001b[0mfid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mh5f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mh5f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mACC_RDWR\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfapl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfapl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mh5py/_objects.pyx\u001b[0m in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mh5py/_objects.pyx\u001b[0m in \u001b[0;36mh5py._objects.with_phil.wrapper\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;32mh5py/h5f.pyx\u001b[0m in \u001b[0;36mh5py.h5f.open\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;31mOSError\u001b[0m: Unable to open file (unable to open file: name = '/Users/xisco/SXS/BBH_SKS_d14.3_q1.22_sA_0_0_0.330_sB_0_0_-0.440/Lev6/rhOverM_Asymptotic_GeometricUnits_CoM.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "#This loads the 22 mode data\n",
     "gw = {}\n",
-    "gw[\"SXS:BBH:0305\"] = h5py.File(\"/Users/xisco/SXS/BBH_SKS_d14.3_q1.22_sA_0_0_0.330_sB_0_0_-0.440/Lev6/rhOverM_Asymptotic_GeometricUnits_CoM.h5\", 'r')\n",
+    "gw[\"SXS:BBH:0305\"] = h5py.File(project_path+\"/SXS/BBH_SKS_d14.3_q1.22_sA_0_0_0.330_sB_0_0_-0.440/Lev6/rhOverM_Asymptotic_GeometricUnits_CoM.h5\", 'r')\n",
     "gw_sxs_bbh_0305 = gw[\"SXS:BBH:0305\"][\"Extrapolated_N2.dir\"][\"Y_l2_m2.dat\"]\n",
     "\n",
     "# Remember to download metadata.json from the simulation with number: 0305. Download Lev6/metadata.json\n",
     "# This postprocesses the metadata file to find the final mass and final spin\n",
     "metadata = {}\n",
-    "with open(\"/Users/xisco/SXS/BBH_SKS_d14.3_q1.22_sA_0_0_0.330_sB_0_0_-0.440/Lev6/metadata.json\") as file:\n",
+    "with open(project_path+\"/SXS/BBH_SKS_d14.3_q1.22_sA_0_0_0.330_sB_0_0_-0.440/Lev6/metadata.json\") as file:\n",
     "    metadata[\"SXS:BBH:0305\"] = json.load(file)\n",
     "\n",
     "af = metadata[\"SXS:BBH:0305\"]['remnant_dimensionless_spin'][-1]\n",
     "mf = metadata[\"SXS:BBH:0305\"]['remnant_mass']"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#times --> x axis of your data\n",
+    "times = gw_sxs_bbh_0305[:,0]\n",
+    "tmax=FindTmaximum(gw_sxs_bbh_0305)\n",
+    "t0=tmax +tshift\n",
+    "\n",
+    "#Select the data from t0 onwards\n",
+    "position = np.argmax(times>=t0)\n",
+    "gw_sxs_bbh_0305rd=gw_sxs_bbh_0305[position:-1]\n",
+    "\n",
+    "t0_end=t0+tend\n",
+    "#Select the data from [t0,t0+80]\n",
+    "position = np.argmin(gw_sxs_bbh_0305rd[:,0]<=t0_end)\n",
+    "gw_sxs_bbh_0305rd=gw_sxs_bbh_0305rd[0:position]\n",
+    "mockdata=gw_sxs_bbh_0305rd \n",
+    "\n",
+    "timesrd=gw_sxs_bbh_0305rd[:,0]-tmax"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "omegas = []\n",
+    "for i in range (0,nmax+1):\n",
+    "    grav_220 = qnm.modes_cache(s=-2,l=2,m=2,n=i)\n",
+    "    omega = grav_220(a=af)[0]\n",
+    "    omegas.append(omega)\n",
+    "w = (np.real(omegas))/mf\n",
+    "tau=-1/(np.imag(omegas))*mf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7f1be59fbb70>"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (12, 8))\n",
+    "plt.plot(timesrd, gw_sxs_bbh_0305rd[:,1], label = r'Real')\n",
+    "plt.plot(timesrd, gw_sxs_bbh_0305rd[:,2], label = r'Imag')\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def modelmock_v2(theta):\n",
+    "    \"\"\"\n",
+    "    theta: comprised of alpha, beta, x and y\n",
+    "    \"\"\" \n",
+    "    \n",
+    "    assert int(len(theta)/4) == nmax + 1, 'Please recheck your n and parameters'\n",
+    "    dim =int(len(theta)/4)        \n",
+    "    \n",
+    "    avars = theta[ : (dim)]\n",
+    "    bvars = theta[(dim) : 2*(dim)]\n",
+    "    xvars = theta[2*(dim) : 3*(dim)]\n",
+    "    yvars = theta[3*(dim) : ]\n",
+    "\n",
+    "    ansatz = 0\n",
+    "    for i in range (0,dim):\n",
+    "        tauvar=tau[i]*(1+bvars[i])\n",
+    "        wvar=w[i]*(1+avars[i])\n",
+    "        ansatz += (xvars[i]*np.exp(1j*yvars[i]))*np.exp(-timesrd/tauvar)*(np.cos(wvar*timesrd)-1j*np.sin(wvar*timesrd))\n",
+    "       \n",
+    "    return ansatz\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def prior_transform(cube):\n",
+    "    cube[0] = -2 + cube[0]*4\n",
+    "    cube[1] = -2 + cube[1]*4\n",
+    "    cube[2] = -1 + cube[2]*8\n",
+    "    cube[3] = -1 + cube[3]*8\n",
+    "    cube[4] = 0 + cube[4]*6    \n",
+    "    cube[5] = 0 + cube[5]*6\n",
+    "    cube[6] = -np.pi + cube[6]*2*np.pi\n",
+    "    cube[7] = -np.pi + cube[7]*2*np.pi\n",
+    "    return cube"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def log_likelihood(theta):\n",
+    "    model_mock = modelmock_v2(theta)\n",
+    "    \n",
+    "    return  -np.sum((gw_sxs_bbh_0305rd[:,1] - model_mock.real)**2+(gw_sxs_bbh_0305rd[:,2] - model_mock.imag)**2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def log_probability(theta):\n",
+    "    lp = log_prior(theta)\n",
+    "    if not np.isfinite(lp):\n",
+    "        return -np.inf\n",
+    "    return lp + log_likelihood(theta)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "14324it [30:59,  7.70it/s, +1000 | bound: 367 | nc: 1 | ncall: 647721 | eff(%):  2.366 | loglstar:   -inf < -0.556 <    inf | logz: -15.128 +/-  0.192 | dlogz:  0.001 >  1.009]\n"
+     ]
+    }
+   ],
+   "source": [
+    "f2=dynesty.NestedSampler(log_likelihood, prior_transform, ndim, nlive=1000)\n",
+    "f2.run_nested()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(15324, 8)"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "res = f2.results\n",
+    "res.samples_u.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dynesty import plotting as dyplot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1303.2x1303.2 with 64 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fg, ax = dyplot.cornerplot(res, color='red', \n",
+    "                           show_titles=True, \n",
+    "                           quantiles=None)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -738,7 +994,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.6.6"
   }
  },
  "nbformat": 4,