diff --git a/code/A_test_fit.ipynb b/code/A_test_fit.ipynb
index bf5590a6ae80372f363194c9ae6b91adecd6f12d..e142c2791bb1ac08991d363b7b5a2e71ea32dd22 100644
--- a/code/A_test_fit.ipynb
+++ b/code/A_test_fit.ipynb
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,6 +28,7 @@
     "plt.rcParams['font.family'] = 'DejaVu Sans'\n",
     "rc('text', usetex=True)\n",
     "plt.rcParams.update({'font.size': 19})\n",
+    "import pandas as pd\n",
     "import ptemcee\n",
     "import qnm\n",
     "import random\n",
@@ -2256,6 +2257,65 @@
     "print([0, 0, 0, 0, 0.978518, 4.29435, -2.11289, 1.38519])"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Test Bayesian</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>logevidence</th>\n",
+       "      <td>-21.358361</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>error</th>\n",
+       "      <td>4.898100</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Test Bayesian\n",
+       "logevidence     -21.358361\n",
+       "error             4.898100"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#PLEAST RERUN THIS CELL IT HAS NOT BEEN RUN SINCE AFTER BEING PASTED HERE\n",
+    "logevidence = sampler.log_evidence_estimate(fburnin=0.2)\n",
+    "pd.DataFrame(logevidence,index = [r'logevidence', r'error'], columns=[r'Test Bayesian'])"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -2485,6 +2545,64 @@
     "print([0, 0, 0, 0, 0.978518, 4.29435, -2.11289, 1.38519])"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Test Bayesian</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>logevidence</th>\n",
+       "      <td>-21.358361</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>error</th>\n",
+       "      <td>4.898100</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Test Bayesian\n",
+       "logevidence     -21.358361\n",
+       "error             4.898100"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "logevidence = sampler.log_evidence_estimate(fburnin=0.2)\n",
+    "pd.DataFrame(logevidence,index = [r'logevidence', r'error'], columns=[r'Test Bayesian'])"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},