OpenMC CSG Geometry Examples

geometry-examples.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "02003d2b-a9de-40f1-b985-87102e042d17",
   "metadata": {},
   "outputs": [],
   "source": [
    "import openmc\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47f41f7e-d7e1-4777-a1c3-66bdf5cb55de",
   "metadata": {},
   "source": [
    "## Arbitrarily rotated plane"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "71d4151f-0255-44cc-93db-f875c224fbd2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='x [cm]', ylabel='y [cm]'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 516.129x519.481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAd4AAAHPCAYAAAD9FLv9AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAcsUlEQVR4nO3dfZBVdf3A8c8uyMrD7gK67LK58jAYhvGgGQxkEyYTg2jZH0SmuFpZMJLB2oNMKqAipKmMRtpMGfYwpdbkNI05KWNZseJorWOWDTAQJOyCllxgxkXY+/ujn/f3W1l0L7Dfu/fyes3cGe6555772TN39s05e3ZvWTabzQYAkER5oQcAgBOJ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACTUt9AD9DYdHR2xY8eOqKysjLKyskKPA0CRyGazsXfv3qivr4/y8iMf1wrv2+zYsSMaGhoKPQYARWr79u1x2mmnHfFx4X2bysrKiPjvjquqqirwNAAUi0wmEw0NDbmOHInwvs1bp5erqqqEF4C8vduPKV1cBQAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCRRXep59+Oi6++OKor6+PsrKyePTRRzs9ns1m46abborhw4dH//79Y8aMGbFx48bCDAsAXSiq8O7fvz8mTpwYa9as6fLx22+/Pe655564//77Y8OGDTFw4MCYOXNmvPHGG4knBYCu9S30APmYNWtWzJo1q8vHstlsrF69Om644Yb4xCc+ERERP/zhD6O2tjYeffTR+PSnP51yVADoUlEd8b6TLVu2RGtra8yYMSO3rLq6OqZMmRLNzc0FnAwA/k9RHfG+k9bW1oiIqK2t7bS8trY291hX2tvbo729PXc/k8n0zIAAECUU3qO1cuXKWL58eaHHyMtjv59T6BGAo3ThRx4p9AgUWMmcaq6rq4uIiLa2tk7L29raco91ZcmSJbFnz57cbfv27T06JwAntpIJ76hRo6Kuri7WrVuXW5bJZGLDhg0xderUIz6voqIiqqqqOt0AoKcU1anmffv2xaZNm3L3t2zZEi0tLTF06NA4/fTTY9GiRXHrrbfGGWecEaNGjYobb7wx6uvr45JLLinc0ADw/xRVeJ977rk4//zzc/ebmpoiIqKxsTHWrl0bX/va12L//v3xhS98IV5//fU477zz4vHHH4+TTz65UCMDQCdl2Ww2W+ghepNMJhPV1dWxZ8+eXnva2cVVULxcXFW6utuPkvkZLwAUA+EFgISEFwASEl4ASEh4ASAh4QWAhIQXABISXgBISHgBICHhBYCEhBcAEhJeAEhIeAEgIeEFgISEFwASEl4ASEh4ASAh4QWAhIQXABISXgBISHgBICHhBYCEhBcAEhJeAEhIeAEgIeEFgISEFwASEl4ASEh4ASAh4QWAhIQXABISXgBISHgBICHhBYCEhBcAEhJeAEhIeAEgIeEFgISEFwASEl4ASEh4ASAh4QWAhIQXABISXgBISHgBICHhBYCEhBcAEhJeAEhIeAEgIeEFgISEFwASEl4ASEh4ASAh4QWAhIQXABISXgBISHgBICHhBYCEhBcAEhJeAEhIeAEgIeEFgISEFwASEl4ASEh4ASAh4QWAhIQXABISXgBISHgBIKGSCu+yZcuirKys0+3MM88s9FgAkNO30AMcb2eddVY8+eSTuft9+5bclwhAESu5KvXt2zfq6uoKPQYAdKmkTjVHRGzcuDHq6+tj9OjRcdlll8W2bdsKPRIA5JTUEe+UKVNi7dq1MXbs2Ni5c2csX748PvzhD8df//rXqKys7PI57e3t0d7enrufyWRSjQvACaikwjtr1qzcvydMmBBTpkyJESNGxMMPPxyf+9znunzOypUrY/ny5alGBOAEV3Knmv+/wYMHx3vf+97YtGnTEddZsmRJ7NmzJ3fbvn17wgkBONGUdHj37dsXmzdvjuHDhx9xnYqKiqiqqup0A4CeUlLh/cpXvhK///3vY+vWrbF+/fr45Cc/GX369IlLL7200KMBQESU2M94//Wvf8Wll14ar732WtTU1MR5550XzzzzTNTU1BR6NACIiBIL789+9rNCjwAA76ikTjUDQG8nvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJNS3Oys1NTXlveEbbrghhg4dmvfzAKCUdSu8q1evjqlTp0a/fv26tdE//vGPsXDhQuEFgLfpVngjIn75y1/GsGHDurVuZWXlUQ8EAKWsWz/j/cEPfhDV1dXd3uh3v/vdqK2tPeqhAKBUdeuIt7GxMa+NfuYznzmqYQCg1HX7VHNX9u3bFx0dHZ2WVVVVHdNAAFDK8v51oi1btsTs2bNj4MCBUV1dHUOGDIkhQ4bE4MGDY8iQIT0xIwCUjLyPeC+//PLIZrPxwAMPRG1tbZSVlfXEXABQkvIO7wsvvBDPP/98jB07tifmAYCSlvep5g9+8IOxffv2npgFAEpe3ke83/ve92L+/PnxyiuvxPvf//446aSTOj0+YcKE4zYcAJSavMO7e/fu2Lx5c1x11VW5ZWVlZZHNZqOsrCwOHTp0XAcEgFKSd3g/+9nPxtlnnx0//elPXVwFAHnKO7z//Oc/41e/+lWMGTOmJ+YBgJKW98VVH/3oR+OFF17oiVkAoOTlfcR78cUXx+LFi+PFF1+M8ePHH3Zx1cc//vHjNhwAlJq8wzt//vyIiLj55psPe6y3XFy1Zs2auOOOO6K1tTUmTpwY9957b0yePLnQYwFA/qeaOzo6jnjrDdF96KGHoqmpKZYuXRp//vOfY+LEiTFz5szYtWtXoUcDgPzD29vdddddcfXVV8dVV10V48aNi/vvvz8GDBgQDzzwQKFHA4D8w3vttdfGPffcc9jyb3/727Fo0aLjMdNRO3DgQDz//PMxY8aM3LLy8vKYMWNGNDc3F3AyAPivvMP7i1/8Ij70oQ8dtnzatGnx85///LgMdbReffXVOHToUNTW1nZaXltbG62trV0+p729PTKZTKcbAPSUvMP72muvRXV19WHLq6qq4tVXXz0uQ6W0cuXKqK6uzt0aGhoKPRIAJSzv8I4ZMyYef/zxw5b/5je/idGjRx+XoY7WqaeeGn369Im2trZOy9va2qKurq7L5yxZsiT27NmTu/kACAB6Ut6/TtTU1BQLFy6M3bt3x0c/+tGIiFi3bl3ceeedsXr16uM9X1769esXH/jAB2LdunVxySWXRMR/r8Jet25dLFy4sMvnVFRUREVFRcIpATiRHdXfam5vb48VK1bELbfcEhERI0eOjPvuuy+uuOKK4z5gvpqamqKxsTHOPffcmDx5cqxevTr279/f6UMdAKBQ8g5vRMSCBQtiwYIFsXv37ujfv38MGjToeM911ObOnRu7d++Om266KVpbW2PSpEnx+OOPH3bBFQAUwlGF9y01NTXHa47jauHChUc8tQwAhdSti6vOOeec+M9//tPtjZ533nnxyiuvHPVQAFCqunXE29LSEi+88EIMHTq0WxttaWmJ9vb2YxoMAEpRt081X3DBBZHNZru1bllZ2VEPBAClrFvh3bJlS94bPu200/J+DgCUum6Fd8SIET09BwCcEEru04kAoDcTXgBISHgBICHhBYCE8g5vY2NjPP300z0xCwCUvLzDu2fPnpgxY0acccYZcdttt/kLVQCQh7zD++ijj8Yrr7wSCxYsiIceeihGjhwZs2bNip///Ofx5ptv9sSMAFAyjupnvDU1NdHU1BQvvPBCbNiwIcaMGRPz5s2L+vr6WLx4cWzcuPF4zwkAJeGYLq7auXNnPPHEE/HEE09Enz594sILL4wXX3wxxo0bF3fffffxmhEASkbe4X3zzTfjF7/4RVx00UUxYsSIeOSRR2LRokWxY8eOePDBB+PJJ5+Mhx9+OG6++eaemBcAilren8c7fPjw6OjoiEsvvTSeffbZmDRp0mHrnH/++TF48ODjMB4AlJa8w3v33XfHnDlz4uSTTz7iOoMHDz6qD1YAgFKXd3jnzZvXE3MAwAnBX64CgISEFwASEl4ASEh4ASAh4QWAhIQXABISXgBISHgBICHhBYCEhBcAEhJeAEhIeAEgIeEFgISEFwASEl4ASEh4ASAh4QWAhIQXABISXgBISHgBICHhBYCEhBcAEhJeAEhIeAEgIeEFgISEFwASEl4ASEh4ASAh4QWAhIQXABISXgBISHgBICHhBYCEhBcAEhJeAEhIeAEgIeEFgISEFwASEl4ASEh4ASAh4QWAhIQXABISXgBISHgBICHhBYCEhBcAEhJeAEhIeAEgIeEFgISEFwASEl4ASKikwjty5MgoKyvrdFu1alWhxwKAnL6FHuB4u/nmm+Pqq6/O3a+srCzgNADQWcmFt7KyMurq6go9BgB0qaRONUdErFq1Kk455ZQ4++yz44477oiDBw8WeiQAyCmpI95rr702zjnnnBg6dGisX78+lixZEjt37oy77rrriM9pb2+P9vb23P1MJpNiVABOUL3+iPf6668/7IKpt99efvnliIhoamqK6dOnx4QJE2L+/Plx5513xr333tsprG+3cuXKqK6uzt0aGhpSfWkAnIDKstlsttBDvJPdu3fHa6+99o7rjB49Ovr163fY8pdeeine//73x8svvxxjx47t8rldHfE2NDTEnj17oqqq6tiG7yGP/X5OoUcAjtKFH3mk0CPQQzKZTFRXV79rP3r9qeaampqoqak5que2tLREeXl5DBs27IjrVFRUREVFxdGOBwB56fXh7a7m5ubYsGFDnH/++VFZWRnNzc2xePHiuPzyy2PIkCGFHg8AIqKEwltRURE/+9nPYtmyZdHe3h6jRo2KxYsXR1NTU6FHA4CckgnvOeecE88880yhxwCAd9Trr2oGgFIivACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkVDThXbFiRUybNi0GDBgQgwcP7nKdbdu2xezZs2PAgAExbNiw+OpXvxoHDx5MOygAvIO+hR6guw4cOBBz5syJqVOnxve///3DHj906FDMnj076urqYv369bFz58644oor4qSTTorbbrutABMDwOGK5oh3+fLlsXjx4hg/fnyXj//2t7+Nv/3tb/HjH/84Jk2aFLNmzYpbbrkl1qxZEwcOHEg8LQB0rWjC+26am5tj/PjxUVtbm1s2c+bMyGQy8dJLLxVwMgD4P0VzqvndtLa2dopuROTut7a2HvF57e3t0d7enrufyWR6ZkAAiAKH9/rrr49vfvOb77jO3//+9zjzzDN7bIaVK1fG8uXLe2z7PeHCjzxS6BEAOEoFDe91110XV1555TuuM3r06G5tq66uLp599tlOy9ra2nKPHcmSJUuiqakpdz+TyURDQ0O3XhMA8lXQ8NbU1ERNTc1x2dbUqVNjxYoVsWvXrhg2bFhERDzxxBNRVVUV48aNO+LzKioqoqKi4rjMAADvpmh+xrtt27b497//Hdu2bYtDhw5FS0tLRESMGTMmBg0aFB/72Mdi3LhxMW/evLj99tujtbU1brjhhrjmmmuEFYBeoyybzWYLPUR3XHnllfHggw8etvypp56K6dOnR0TEP//5z1iwYEH87ne/i4EDB0ZjY2OsWrUq+vbt/v8vMplMVFdXx549e6Kqqup4jQ9AietuP4omvKkILwBHo7v9KJnf4wWAYiC8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8AJCS8AJCQ8AJAQsILAAkJLwAkJLwAkJDwAkBCwgsACQkvACTUt9AD9DbZbDYiIjKZTIEnAaCYvNWNtzpyJML7Nnv37o2IiIaGhgJPAkAx2rt3b1RXVx/x8bLsu6X5BNPR0RE7duyIysrKKCsrK/Q4h8lkMtHQ0BDbt2+PqqqqQo9TdOy/Y2P/HRv779j09v2XzWZj7969UV9fH+XlR/5JriPetykvL4/TTjut0GO8q6qqql75xisW9t+xsf+Ojf13bHrz/nunI923uLgKABISXgBISHiLTEVFRSxdujQqKioKPUpRsv+Ojf13bOy/Y1Mq+8/FVQCQkCNeAEhIeAEgIeEFgISEFwASEt4isWLFipg2bVoMGDAgBg8e3OU627Zti9mzZ8eAAQNi2LBh8dWvfjUOHjyYdtAiMnLkyCgrK+t0W7VqVaHH6rXWrFkTI0eOjJNPPjmmTJkSzz77bKFHKgrLli077H125plnFnqsXuvpp5+Oiy++OOrr66OsrCweffTRTo9ns9m46aabYvjw4dG/f/+YMWNGbNy4sTDDHiXhLRIHDhyIOXPmxIIFC7p8/NChQzF79uw4cOBArF+/Ph588MFYu3Zt3HTTTYknLS4333xz7Ny5M3f70pe+VOiReqWHHnoompqaYunSpfHnP/85Jk6cGDNnzoxdu3YVerSicNZZZ3V6n/3xj38s9Ei91v79+2PixImxZs2aLh+//fbb45577on7778/NmzYEAMHDoyZM2fGG2+8kXjSY5ClqPzgBz/IVldXH7b8sccey5aXl2dbW1tzy+67775sVVVVtr29PeGExWPEiBHZu+++u9BjFIXJkydnr7nmmtz9Q4cOZevr67MrV64s4FTFYenSpdmJEycWeoyiFBHZX/7yl7n7HR0d2bq6uuwdd9yRW/b6669nKyoqsj/96U8LMOHRccRbIpqbm2P8+PFRW1ubWzZz5szIZDLx0ksvFXCy3m3VqlVxyimnxNlnnx133HGHU/NdOHDgQDz//PMxY8aM3LLy8vKYMWNGNDc3F3Cy4rFx48aor6+P0aNHx2WXXRbbtm0r9EhFacuWLdHa2trpvVhdXR1TpkwpqveiD0koEa2trZ2iGxG5+62trYUYqde79tpr45xzzomhQ4fG+vXrY8mSJbFz58646667Cj1ar/Lqq6/GoUOHunx/vfzyywWaqnhMmTIl1q5dG2PHjo2dO3fG8uXL48Mf/nD89a9/jcrKykKPV1Te+l7W1XuxmL7POeItoOuvv/6wiy7efvONLT/57NOmpqaYPn16TJgwIebPnx933nln3HvvvdHe3l7gr4JSMmvWrJgzZ05MmDAhZs6cGY899li8/vrr8fDDDxd6NArEEW8BXXfddXHllVe+4zqjR4/u1rbq6uoOu8q0ra0t99iJ4lj26ZQpU+LgwYOxdevWGDt2bA9MV5xOPfXU6NOnT+799Ja2trYT6r11vAwePDje+973xqZNmwo9StF56/3W1tYWw4cPzy1va2uLSZMmFWiq/AlvAdXU1ERNTc1x2dbUqVNjxYoVsWvXrhg2bFhERDzxxBNRVVUV48aNOy6vUQyOZZ+2tLREeXl5bv/xX/369YsPfOADsW7durjkkksiIqKjoyPWrVsXCxcuLOxwRWjfvn2xefPmmDdvXqFHKTqjRo2Kurq6WLduXS60mUwmNmzYcMTf+OiNhLdIbNu2Lf7973/Htm3b4tChQ9HS0hIREWPGjIlBgwbFxz72sRg3blzMmzcvbr/99mhtbY0bbrghrrnmmqL/JI+e0NzcHBs2bIjzzz8/Kisro7m5ORYvXhyXX355DBkypNDj9TpNTU3R2NgY5557bkyePDlWr14d+/fvj6uuuqrQo/V6X/nKV+Liiy+OESNGxI4dO2Lp0qXRp0+fuPTSSws9Wq+0b9++TmcDtmzZEi0tLTF06NA4/fTTY9GiRXHrrbfGGWecEaNGjYobb7wx6uvrc/8pLAqFvqya7mlsbMxGxGG3p556KrfO1q1bs7Nmzcr2798/e+qpp2avu+667Jtvvlm4oXux559/PjtlypRsdXV19uSTT86+733vy952223ZN954o9Cj9Vr33ntv9vTTT8/269cvO3ny5OwzzzxT6JGKwty5c7PDhw/P9uvXL/ue97wnO3fu3OymTZsKPVav9dRTT3X5va6xsTGbzf73V4puvPHGbG1tbbaioiJ7wQUXZP/xj38Udug8+VhAAEjIVc0AkJDwAkBCwgsACQkvACQkvACQkPACQELCCwAJCS8QERFbt27NfZBET//d27Vr1+Zea9GiRT36WtDbCC/QyZNPPhnr1q3r0deYO3du7Ny5M6ZOndqjrwO9kb/VDHRyyimnxCmnnNKjr9G/f//o379/9OvXr0dfB3ojR7xQgnbv3h11dXVx22235ZatX78++vXrd1RHsw888ECcddZZUVFREcOHD+/0qURlZWXx3e9+Ny666KIYMGBAvO9974vm5ubYtGlTTJ8+PQYOHBjTpk2LzZs3H5evDYqd8EIJqqmpiQceeCCWLVsWzz33XOzduzfmzZsXCxcujAsuuCCvbd13331xzTXXxBe+8IV48cUX41e/+lWMGTOm0zq33HJLXHHFFdHS0hJnnnlmfOYzn4kvfvGLsWTJknjuuecim836CEH4X041Q4m68MIL4+qrr47LLrsszj333Bg4cGCsXLky7+3ceuutcd1118WXv/zl3LIPfvCDnda56qqr4lOf+lRERHz961+PqVOnxo033hgzZ86MiIgvf/nLPkIQ/pcjXihh3/rWt+LgwYPxyCOPxE9+8pO8P5t5165dsWPHjnc9Sp4wYULu37W1tRERMX78+E7L3njjjchkMnm9PpQi4YUStnnz5tixY0d0dHTE1q1b835+//79u7XeSSedlPt3WVnZEZd1dHTkPQOUGuGFEnXgwIG4/PLLY+7cuXHLLbfE5z//+di1a1de26isrIyRI0f2+K8XwYnEz3ihRH3jG9+IPXv2xD333BODBg2Kxx57LD772c/Gr3/967y2s2zZspg/f34MGzYsZs2aFXv37o0//elP8aUvfamHJofS5ogXStDvfve7WL16dfzoRz+KqqqqKC8vjx/96Efxhz/8Ie677768ttXY2BirV6+O73znO3HWWWfFRRddFBs3buyhyaH0lWWz2WyhhwAKb+vWrTFq1Kj4y1/+0uN/MvIt06dPj0mTJsXq1auTvB70Bo54gU6mTZsW06ZN69HX+MlPfhKDBg2KP/zhDz36OtAbOeIFIiLi4MGDuSufKyoqoqGhocdea+/evdHW1hYREYMHD45TTz21x14LehvhBYCEnGoGgISEFwASEl4ASEh4ASAh4QWAhIQXABISXgBISHgBICHhBYCE/gdFNK0IXQBbCgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 516.129x519.481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "box = openmc.model.RectangularParallelepiped(*3*[-10, 10])\n",
    "\n",
    "p = openmc.XPlane(x0=5)\n",
    "\n",
    "cell = openmc.Cell(region=-box & +p)\n",
    "\n",
    "cell.plot(width=(25, 25), pixels=(400, 400), origin=(0, 0, 0))\n",
    "\n",
    "cell.region = -box & -p\n",
    "\n",
    "cell.plot(width=(25, 25), pixels=(400, 400), origin=(0, 0, 0))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "51111207-cf74-484b-a5c7-f691e36b3aa2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='x [cm]', ylabel='y [cm]'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 516.129x519.481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_p = p.rotate((10, 20, 30)) # in degrees\n",
    "\n",
    "cell.region = -box & -new_p\n",
    "\n",
    "cell.plot(width=(25, 25), pixels=(400, 400), origin=(0, 0, 0))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "688e5d4a-44d5-44fc-a6db-feccdca973c2",
   "metadata": {},
   "source": [
    "## Arbitrarily rotated cylinder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "db15652c-9065-4729-b479-33b13b42867d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='x [cm]', ylabel='y [cm]'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 516.129x519.481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cyl = openmc.ZCylinder(r=5)\n",
    "\n",
    "cell = openmc.Cell(region=-cyl)\n",
    "\n",
    "cell.plot(width=(15, 15), pixels=(400, 400), origin=(0, 0, 0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3d1cc464-2524-447d-99dc-8aed647334bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='x [cm]', ylabel='y [cm]'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 516.129x519.481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_cyl = cyl.rotate((30, 20, 30)) \n",
    "\n",
    "cell.region = -new_cyl\n",
    "\n",
    "cell.plot(width=(15, 15), pixels=(400, 400), origin=(0, 0, 0))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a5c13ea-07ad-4904-a1e3-ffd28015950e",
   "metadata": {},
   "source": [
    "## Translation Example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "66e64142-6354-404b-be71-eeb4994c61f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='x [cm]', ylabel='y [cm]'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 516.129x519.481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new_new_cyl = new_cyl.translate((3, 0, 0))\n",
    "\n",
    "cell.region = -new_new_cyl\n",
    "\n",
    "cell.plot(width=(15, 15), pixels=(400, 400), origin=(0, 0, 0))\n",
    "                                "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a6c9b66-3bd7-49c2-88f7-c6128f2d93de",
   "metadata": {},
   "source": [
    "## Cone example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "e2ddb9a7-88ec-4e40-bfb3-ccf7049a742b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='x [cm]', ylabel='y [cm]'>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 516.129x519.481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cone = openmc.XCone(r2=1.0)\n",
    "\n",
    "start = openmc.XPlane(x0=1.0)\n",
    "stop = openmc.XPlane(x0=3.0)\n",
    "\n",
    "cone_cell = openmc.Cell(region=+start & -stop & -cone)\n",
    "\n",
    "cone_cell.plot(width=(5, 10), pixels=(400, 400), origin=(1.25, 0, 0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "af9d385d-c411-423c-85b7-d82fdb7cc2d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='x [cm]', ylabel='y [cm]'>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 516.129x519.481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "start.x0 = 0\n",
    "cone_cell.plot(width=(5, 10), pixels=(400, 400), origin=(1.25, 0, 0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "c501d020-1799-4044-a501-e73b2fc40eaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='x [cm]', ylabel='y [cm]'>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 516.129x519.481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# or this\n",
    "\n",
    "cone = openmc.model.XConeOneSided(r2=1.0)\n",
    "\n",
    "cone_cell = openmc.Cell(region=-cone)\n",
    "\n",
    "cone_cell.plot(width=(5, 10), pixels=(400, 400), origin=(1.25, 0, 0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "95a14f4f-cc1c-419b-aae0-b02688100e51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='x [cm]', ylabel='y [cm]'>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 516.129x519.481 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cone_cell.region &= -stop\n",
    "cone_cell.plot(width=(5, 10), pixels=(400, 400), origin=(1.25, 0, 0))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70d9a3fa-a2e2-411e-a55f-d73cad3eb6bf",
   "metadata": {},
   "source": [
    "## Complement example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "dff2db13-6874-40ba-bc78-1bdea4bd84ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(-98 99 -96 97)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top = openmc.ZPlane(z0=10)\n",
    "bottom = openmc.ZPlane(z0=-10)\n",
    "\n",
    "cyl1 = openmc.ZCylinder(r=5)\n",
    "cyl2 = openmc.ZCylinder(r=2)\n",
    "\n",
    "inside_cyl = -cyl1 & + cyl2 & -top & +bottom\n",
    "print(inside_cyl)\n",
    "cell = openmc.Cell(region=inside_cyl)\n",
    "\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(ncols=2)\n",
    "cell.plot(width=(15, 15), pixels=(400, 400), origin=(0, 0, 0), axes=ax1)\n",
    "cell.plot(width=(15, 15), pixels=(400, 400), origin=(0, 0, 0), basis='yz', axes=ax2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "6c15f171-b024-4956-b1fa-cfca560ec889",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "~(-98 99 -96 97)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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88cQT6Ovrw6JFi1BSUjLyeOGFF7TcbMo5HdOR456hOsaUSiRiOHD0Gex9/wfoHwiksIR8QsoE+gf82Pv+D/DR0WeQSIztihyjyHHPgNMxTXUM3THL3CCi0zQ/NGMGFaVLVUeYUpHBTrT6X8Px4BvQ8jDMWEVjvWgNvAEJoLLsi3BlFquONGXKS5di/+EnVcfQFbPMDSI6Lf1OakgxIWzIdvnS4rCBlBI9fQfw7oF/RWy4T3Wcz5A4HngdHd27Ma/mPuTn1Bj+PRdCwJ3l49UzRGRq6X+tqcYK8q9GbhoclpFS4lTfQZ2WkE/Ehvvw7oF/xanQwbT4zTnXMxMFeVerjkFEpAyLyCR5sqvTYu2Qnr4D2Hfgx7ouIWfFhvuw78Mfo6fvgOookyaEBR43rwohIvMy/k9QhQQsKCsy/r0vIoOdut8T8lln94xEBjtVR5m0sqKbwH+KRGRWnH6TYLU5YRFW1TEmJZGIodX/mqFKyFmx4T60Bl4z/NU0QlhgszpVxyAiUoJFZBK8RYvgdExXHWPCpJQ42PJfZ66OMabjgTdwqOVnhj5fJNNRgLLim1THICJSgkVkEoSwGPbKjbOLlXWe2AM9XKI7cRIdJ/agf8Bv2DIihIDgP0UiMilOvwkSwopMZ6HqGBOWSA7h3QM/RjTWqzrKpEVjp/DugS1IJKOXfrFOZTkLIQx+mI+IaCJYRCbIZs08c5KhMQW6dqXFiZ5nRQY7EOjapTrGhJUVL+J5IkRkSiwiJhSN9aG9Y7uSZdu1ImUC7R3bEYvxvi1EREbCIjJBuZ6ZsFiMuTBtd8++M3fRTS+h/hZ09zSpjjEhFmFDrmeW6hhERCnHIjJBhdPqYLXYVccYt9hwGG3BN2HsE1QvRKItuA2x4bDqIONmtdpRmF+rOgYRUcqxiJhMOHIcfeFm1TE00xs+gnCkTXUMIiIaIxYRE5FSIti9W3UMzXV0v2XYS3mJiMyGRWQCMmxueLKNeH8Qid7QEdUhNHf6z2i8IuJxVyPD5lYdg4gopVhEJsBh9xjyjrudJ/eif6BddQzNhQfa0XVyr+oY45brngG73aM6BhFRSrGImEgiMZRWl+xeiJQJxBPGXdyMiMhMWERMQkqJ4XhEdYyUiccjPE+EiMgAWERMIpmMoaX916pjpMyx9peQTA6rjkFERJeQkiLy+OOPo7KyEk6nE/X19di713jH79OBRFJ1hJQx0581XXFuEJmD5kXkhRdeQENDAzZs2IB9+/bh6quvxrJly9Dd3a31ponIoDg3iMxD8yKyZcsWrFmzBqtXr0ZNTQ22bt2KrKwsPP3001pvmogMinODyDw0LSKxWAxNTU1YsmTJJxu0WLBkyRLs2bNHy00TkUFxbhCZi6Z3bTt58iQSiQSKiopGPV9UVISDBw+e8/poNIpo9JPLLkMh3kmVyGzGOzcAzg4iI9PVVTONjY3IyckZefh8PtWRiMgAODuIjEvTIjJ9+nRYrVZ0dXWNer6rqwvFxcXnvH79+vXo6+sbebS3p/8qoEQ02njnBsDZQWRkmhYRu92Ouro6bN++feS5ZDKJ7du347rrrjvn9Q6HAx6PZ9SDiMxlvHMD4OwgMjJNzxEBgIaGBtx9992YP38+FixYgEcffRSRSASrV6/WetP0GUJfR+I0JYRVdQSaBM4NIvPQvIjceeedOHHiBL73ve+hs7MT11xzDd54441zTkQjbVksdlT5voSPjj6rOkpKVHu/BIslQ3UMmiDODSLz0LyIAMC6deuwbt26VGyKLkAIgQybS3WMlLHZXBBCqI5Bk8C5QWQO5tlXT7BanRAiJd1TKSFssFkdqmMQEdEYsIhMQDQWQm+4WXWMcSuevgDZWV7VMTTndnlRNH2B6hjj1hs6glisT3UMIqKUYhGZgOF4GKH+FtUxJkAgzzNTdQjN5bpnATDeYZlQfwuG4/2qYxARpRSLiIkIIVBSeL3qGJorKbye54cQERkEi4jJuF0VyHXPUB1DM7numXC7ylXHICKiMWIRmaDuj5uQSMZUxxg3e4Yb5aVLYcRDF5cmUF66FPYMt+og45ZIxNDd06Q6BhFRyrGITFBv6AiSybjqGBNSkF8HT3al6hhTzpNdhcL8WtUxJiQp4+gNHVEdg4go5VhETMhh98BXsiStVh8Vworyks/DbufS3kRERsIiMkHxxCACXTtUx5iwsqIb4MosUR1jyrgyS1BadKPqGBMW6NyBeGJQdQwiopRjEZkgKRMYHDqhOsaEWS1OzKtpgMOeqzrKpDnseZhXcz+sFuMuYjYw1A0pk6pjEBGlHIvIJEiZhJRSdYwJEUIgO8uLkoLrYOwTVwVKCq5DdlaZYS/ZlVJCgiWEiMyJRWQS/J07MBQ9qTrGhAkhMLvqLlSU3aI6yoRVlt2K2VUrDVtCAGAwegKBzp2qYxARKcEiMgmJxBCSMqE6xqRYrXZUln0R9owc1VHGzZ6Rg4qyW2G12lVHmRQpk4gnhlTHICJSgkVkEiSSCHQZ/zdZV2Yx5tXcZ6gyYs/Iwbya++DKLFYdZdJO/x3ioRkiMicWkUkKhVvS4iTD/Jwa1M653xBlxJ6Rg9o5DyA/p0Z1lEmTMolQ+JjqGEREyrCITNKJU3825J14P0sIgTzP5brfM3J2T0ieZ7ahzws5qzd0BCdOva86BhGRMiwikyRlHP2RdsNePfNpQghMy52D6+b9EBVlt0JfV9MIVJZ9EdfN+yGm5c5JixIipUQ40gYpjblCLxHRVGARmQLHg2+qjjClXJnFuLzqLlSW3QqHPU91HDjseSNXx6TDOSGf1taxTXUEIiKlWESmwFD0JPrS4PDMp1mtdlxx2SosuOofkZ3lVbIcvBBWZGd5seCq7+GKy1YZ/uqYz+oLNxv68m8ioqmgWRFpbW3F17/+dVRVVSEzMxOXXXYZNmzYgFjMeHesvZTYcAj9A4G0ODzzaWcXPbu+thE1M/4anuxqpOZwjYAnuxpzZvw1rq9tNPRiZRcipUT/gB+x4bDqKLpiprlBRKfZtPrCBw8eRDKZxJNPPokZM2Zg//79WLNmDSKRCDZv3qzVZpVp8b+MksKFsIoM1VGmlBACNqsTFaVLUTL9L9Dd04S24Db0hrW5U2yueybKS5eiML82rW9gl5RxHPO/rDqG7phtbhCRhkXklltuwS23fLJiZ3V1NQ4dOoQnnngiLQdK/0AQwa7fw1dys+oomrHbPfAWL0bhtPkIR9rQ0f0WekNHEB5oh5zgwm5C2OB2eZHrnoWSwuvhdpXDnuGe4uT6E+zahchAh+oYumO2uUFEGhaR8+nr60N+fn4qN5kyUsbRP+CHlEkIkd6n3tgz3JiWO+fMOh4SXSf3Ip6IIh6P4Fj7S5e8b4oQVlR7vwSbzQWb1YGi6QsAiLQ7/HIhUibP/F3h1TJjkc5zg4hSWESam5vx2GOPXfS3mmg0img0OvJxKBRKRbQp0xZ8E5VltyLTWaA6SkqcLg4CxQV/AeD0eQ++kiUALnWujIDFkmGa4vFZQ9GP0Rbk1TJjMZa5ARh/dhCZ2bh/dX/ooYcghLjo4+DBg6M+JxAI4JZbbsEdd9yBNWvWXPBrNzY2IicnZ+Th8/nG/ydSKJGM4mj7i2l30upYCSFgtdphtTou8bCbtoRIKXG07UUkktFLvziNaDk3AOPPDiIzG/cekfvvvx+rVq266Guqq6tH/jsYDGLx4sW4/vrr8ZOf/OSin7d+/Xo0NDSMfBwKhQw3UDq6d6Oy9FZku7yqo5AO9Q/40XFit+oYKafl3ADSY3YQmdW4i0hBQQEKCsZ26CEQCGDx4sWoq6vDM888A4vl4jtgHA4HHA7HeCPpynC8H8eDb2DOzG+ojkI6dDz4GwzH+1XHSDkt5waQHrODyKw0O0ckEAhg0aJFqKiowObNm3HixImR/1dcnF6rY35W18l3UF66FG5XueoopCPh/jZ0nXxHdQxdM/PcIDIrzYrItm3b0NzcjObmZni9ow9TpPs5FEOxHgS6dmJ21cq0v4KGxkbKJPxdOxGN9aiOomtmnhtEZqXZT8lVq1ZBSnnehxkEunZhYKhbdQzSiYGhbgS7d6mOoXtmnxtEZsRf1zUSjfWiveO3E17oi9KHlAm0d2xDNNarOgoRke6wiGioxf8q/J07VccgxfydO9Hif011DCIiXWIR0ZCUcbR3bueNzUwsNhxCe+d2rqJKRHQBLCIa6w0dxslT76uOQYqcPPU+ekOHVccgItItFpEU2H/kKfSGtLlbLelXb+gI9h/5qeoYRES6xiKSAvF4BC2B1xBPDKmOQikSTwyhxf8q4vGI6ihERLrGIpIiHd1/wAeHtyKZHFYdhTSWTA7jg0Nb0XHiLdVRiIh0j0Ukhbo/bkJf+BjXREhjUkr0ho+iu6dJdRQiIkNgEUmhRGII+w5s4eqaaWwo1oN3D2xBgofhiIjGhEUkxaKxHrT4X0UiEVMdhaZYIhFDq/8VRGOnVEchIjIMFhEFWvwv43DrL5BMcm2JdJFMxnG49edo8b+iOgoRkaGwiCjS6n8Vh1qe5xLwaUDKBA61/AytXD2ViGjcWEQUkUjC3/k/iAx0qI5CkxQZ6IC/cwckkqqjEBEZDouIQsPxfjR9uBn9Eb/qKDRB4Ug7mj7chOF4v+ooRESGxCKiWGQwgKYP/wVhlhHDCUfase/DTYgMBlVHISIyLBYRHYgMdmDfgc3oHwhwjREDkFKifyCAfR/+GJFBHlojIpoMFhGdiAwEsO/Dzfzt2gAig8Ez36uA6ihERIbHIqIj/QN+NH24iYdpdCwcaUfT/k3oH+D3iIhoKrCI6MzpPSP/whNYdeiTc0K4J4SIaKqkpIhEo1Fcc801EELgvffeS8UmDS0y2DFyNQ3XGVFPygT6I/4zh2N4TkiqcG4QmUNKisi3v/1tlJaWpmJTaSMyGMCe9/4RB4/9jCuwKpRMxnHw2H9hz3v/yPN3Uoxzg8gcNC8ir7/+Ot58801s3rxZ602lneF4/8gKrIkk702TaolEbGTFVK4TklqcG0TmYdPyi3d1dWHNmjV48cUXkZWVpeWm0pZEEi3+lwEAld7lcNrzIYRQnCq9SSkxFOtBq/8V3jtGAc4NInPRrIhIKbFq1Srcc889mD9/PlpbWy/5OdFoFNFodOTjUCikVTzDafG/jGD3W6itaUCOuxoWS4bqSGkpmRxGb/go3j2whXfRVWAicwPg7CAysnEfmnnooYcghLjo4+DBg3jssccQDoexfv36MX/txsZG5OTkjDx8Pt9446W1aKwHez/4If586HHEE0Oq46SdeGIIfz74ON754J9ZQqaYlnMD4OwgMjIhx7mU54kTJ/Dxxx9f9DXV1dX48pe/jJdffnnUYYREIgGr1YqVK1fiueeeO+fzzvdbjc/nwy9f/V/IcnEPwKeVFC5EVdly5Hpmqo6SFnpDR9DifxUdJ95SHUV3BiLDuGP5S+jr64PH45nQ19BybgDGmR3ZWWW4Yf4WCGGclRMSiSh27F2HaKxXdZSUcNhzsWjB47Ba7aqjjJmUSez6UwMiA/pZWmA8c2Pch2YKCgpQUFBwydf927/9G374wx+OfBwMBrFs2TK88MILqK+vP+/nOBwOOByO8UYypY7ut3Cy5z3MmfkNTM+7CvaMif2AMLvYcAgnT72P/Ud+ing8ojpO2tJybgCcHURGptk5IuXl5aM+zs7OBgBcdtll8Hq9Wm3WVIbjEbz30f9BrmcWfMWfh7f4JghhVR3LEKRMwN+5E+2d29EbOqw6Dp3BuUFkPppeNUOp0Rs6jL7wMUQGg/CVLEGWs9BQu35TScokBoa60d6xDS3+1yAl12ghIlIpZUWksrKSd5bVkJRxHGt/CYGunSgruhFlRTfB7Sq/9CeaSLi/Df6unQh27zLN8W6j49wgSn/cI5JmorFeHGv/NYJdf0Dh9GtRUboM2Vle0649IqVE/4Afx4O/QdfJdxCN9aiOREREn8IikqaGYj1oC/4GHd1voaTwelzmWwGnY5ppDtlImcRQ9GMcbXsRHSd2c2VUIiKdYhFJc8PxfrQF30SgcyfKS7+A7CwvSotuhEXY0m4viZQSSRlHsGsX+gf8aAtuQyIZvfQnEhGRMiwiJpFIRtHifwVC2NAaeA1V3tuQneVFjnsGABi2lJw9f6Av3Iz+AT+O+V9GZKCDJ6ESERkEi4jJSBlHONKG9w/9B+wZHjgd01BeuhTuLB9yPTMNc+hGyiR6Q0cQHmhHW/BNDEU/RmyYy3oTERkNi4iJxYZDiA2HsP/wkxDChoK8q+FxV6Gs6CYIYUGmo0A3e0qklBiMnoCUSQS6diIUPoYTp97nng8iIoNjESEAp/eUdPc0obunCc3H/x9sVifKim+CgAVZzkKUFS8CAFiETfOljxOJGJJnCkagcwcGhrohkUSgc+eZe+wkNd0+ERGlDosInUcS8cQAjgdeBwAIYcWR4/8XAJDrmYXC/NqRV3rc1cg9c57JRPWGjiDU3zLycXdPE3pDRwAA8cQgpGTxICJKVywidElSJjB85j4sJ3rexYmed0f+X4bNDbt9cve5icX6eHktEZFJsYjQpAzHwxiOh1XHICIigzLGJRJERESUllhEiIiISBkWESIiIlKGRYSIiIiUYREhIiIiZVhEiIiISBkWESIiIlKGRYSIiIiUYREhIiIiZTQtIq+++irq6+uRmZmJvLw8rFixQsvNEVGa4OwgMg/Nlnj/7//+b6xZswYbN27EzTffjHg8jv3792u1OSJKE5wdROaiSRGJx+P41re+hU2bNuHrX//6yPM1NTVabI6I0gRnB5H5aHJoZt++fQgEArBYLJg3bx5KSkpw66238rcaIroozg4i89GkiBw7dgwA8P3vfx/f/e538corryAvLw+LFi1CT0/PBT8vGo0iFAqNehCReXB2EJnPuIrIQw89BCHERR8HDx5EMpkEAPzDP/wD/vIv/xJ1dXV45plnIITAL3/5ywt+/cbGRuTk5Iw8fD7f5P50RKQLnB1EdCHjOkfk/vvvx6pVqy76murqanR0dAAYfVzX4XCguroabW1tF/zc9evXo6GhYeTjUCjEgUKUBjg7iOhCxlVECgoKUFBQcMnX1dXVweFw4NChQ/jc5z4HABgeHkZraysqKiou+HkOhwMOh2M8kYjIADg7iOhCNLlqxuPx4J577sGGDRvg8/lQUVGBTZs2AQDuuOMOLTZJRGmAs4PIfDRbR2TTpk2w2Wz42te+hsHBQdTX1+N3v/sd8vLytNokEaUBzg4ic9GsiGRkZGDz5s3YvHmzVpsgojTE2UFkLrzXDBERESnDIkJERETKsIgQERGRMiwiREREpAyLCBERESnDIkJERETKsIgQERGRMiwiREREpAyLCBERESnDIkJERETKsIgQERGRMiwiREREpAyLCBERESnDIkJERETKsIgQERGRMjbVAS5GSgkAGBgYVpyEyLzO/vs7++/RCPQ6O0QyilAoBCGM8ztgIhFFJBJDLKav91Ir8eEYQqEQrFa76ihjJmUSkf4oBgb18z0az9wQUsfTxe/3w+fzqY5BRADa29vh9XpVxxgTzg4ifRjL3NB1EUkmkwgGg3C73RBCqI4zIhQKwefzob29HR6PR3UcXeN7NXZ6fa+klAiHwygtLYXFYozf5PU4O/T6/dUjvlfjo8f3azxzQ9eHZiwWi65/A/N4PLr5pusd36ux0+N7lZOTozrCuOh5dujx+6tXfK/GR2/v11jnhjF+vSEiIqK0xCJCREREyrCITIDD4cCGDRvgcDhUR9E9vldjx/cqvfH7O3Z8r8bH6O+Xrk9WJSIiovTGPSJERESkDIsIERERKcMiQkRERMqwiBAREZEyLCKTVFlZCSHEqMcjjzyiOpYuPP7446isrITT6UR9fT327t2rOpIuff/73z/n79Dll1+uOhZpjLPjwjg7Li2d5oauV1Y1ih/84AdYs2bNyMdut1thGn144YUX0NDQgK1bt6K+vh6PPvooli1bhkOHDqGwsFB1PN2ZM2cOfvvb3458bLPxn6YZcHaci7Nj7NJlbnCPyBRwu90oLi4eebhcLtWRlNuyZQvWrFmD1atXo6amBlu3bkVWVhaefvpp1dF0yWazjfo7NH36dNWRKAU4O87F2TF26TI3WESmwCOPPIJp06Zh3rx52LRpE+LxuOpISsViMTQ1NWHJkiUjz1ksFixZsgR79uxRmEy/jhw5gtLSUlRXV2PlypVoa2tTHYlSgLNjNM6O8UmXuWHM/Tg68s1vfhO1tbXIz8/H7t27sX79enR0dGDLli2qoylz8uRJJBIJFBUVjXq+qKgIBw8eVJRKv+rr6/Hss89i9uzZ6OjowMMPP4wbbrgB+/fv5676NMbZcS7OjrFLq7kh6Rzf+c53JICLPj766KPzfu5//ud/SpvNJoeGhlKcWj8CgYAEIHfv3j3q+QcffFAuWLBAUSrjOHXqlPR4PPKnP/2p6ig0Tpwdk8PZMXFGnhvcI3Ie999/P1atWnXR11RXV5/3+fr6esTjcbS2tmL27NkapNO/6dOnw2q1oqura9TzXV1dKC4uVpTKOHJzczFr1iw0NzerjkLjxNkxOZwdE2fkucEich4FBQUoKCiY0Oe+9957sFgspj672263o66uDtu3b8eKFSsAAMlkEtu3b8e6devUhjOA/v5+HD16FF/72tdUR6Fx4uyYHM6OiTPy3GARmYQ9e/bgj3/8IxYvXgy32409e/bgvvvuw1133YW8vDzV8ZRqaGjA3Xffjfnz52PBggV49NFHEYlEsHr1atXRdOeBBx7A7bffjoqKCgSDQWzYsAFWqxVf+cpXVEcjjXB2XBhnx9ik1dxQfWzIyJqammR9fb3MycmRTqdTXnHFFXLjxo2mPsb7aY899pgsLy+XdrtdLliwQL799tuqI+nSnXfeKUtKSqTdbpdlZWXyzjvvlM3NzapjkYY4Oy6Os+PS0mluCCmlVF2GiIiIyJy4jggREREpwyJCREREyrCIEBERkTIsIkRERKQMiwgREREpwyJCREREyrCIEBERkTIsIkRERKQMiwgREREpwyJCREREyrCIEBERkTIsIkRERKTM/weTcI6LO1E0OwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# same plot using the complement of this region\n",
    "cell.region = ~cell.region\n",
    "\n",
    "print(cell.region)\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(ncols=2)\n",
    "cell.plot(width=(15, 15), pixels=(400, 400), origin=(0, 0, 0), axes=ax1)\n",
    "cell.plot(width=(15, 15), pixels=(400, 400), origin=(0, 0, 0), basis='yz', axes=ax2)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}