Add example in preparation for branching off

notebooks/DCR Pseudo-section Simulation.ipynb

@@ -45,7 +45,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Transmitter 8 of 9 -> Time:0.976000070572 sec Transmitter 8 of 9\n",
+      "Transmitter 8 of 9 -> Time:0.957999944687 sec Transmitter 8 of 9\n",
       "Forward completed\n"
      ]
     },
@@ -53,7 +53,7 @@
      "data": {
       "image/png": 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truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x154fecc0>"
+       "<matplotlib.figure.Figure at 0x38afc88>"
       ]
      },
      "metadata": {},
@@ -95,7 +95,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Transmitter 8 of 9 -> Time:0.976999998093 sec Transmitter 8 of 9\n",
+      "Transmitter 8 of 9 -> Time:0.968999862671 sec Transmitter 8 of 9\n",
       "Forward completed\n"
      ]
     },
@@ -103,7 +103,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZkAAAEKCAYAAADAVygjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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 truncated
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2183a90>"
+       "<matplotlib.figure.Figure at 0x38c8400>"
       ]
      },
      "metadata": {},
@@ -112,8 +112,8 @@
     {
      "data": {
       "text/plain": [
-       "(<matplotlib.figure.Figure at 0x2183a90>,\n",
-       " <matplotlib.axes._subplots.AxesSubplot at 0x187ccba8>)"
+       "(<matplotlib.figure.Figure at 0x38c8400>,\n",
+       " <matplotlib.axes._subplots.AxesSubplot at 0x187e9828>)"
       ]
      },
      "metadata": {},
@@ -133,6 +133,15 @@
     "                       "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,