diff --git a/trace-analysis.ipynb b/trace-analysis.ipynb
index d3e2c12..9716f54 100644
--- a/trace-analysis.ipynb
+++ b/trace-analysis.ipynb
@@ -282,67 +282,6 @@
     "print(\"Done.\")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "##################################################\n",
-    "# Split /tf into Artificial Topics\n",
-    "##################################################\n",
-    "# /tf is one ROS2 topic but carries multiple\n",
-    "# different streams of information:\n",
-    "# One for each publisher of the /tf topic.\n",
-    "# We can separate the messages on /tf according\n",
-    "# to those publishers.\n",
-    "# Still, all subscribers to /tf are subscribed\n",
-    "# to ALL of those split topics, so the\n",
-    "# found dependencies are still a vast over-\n",
-    "# approximation of the actual dataflow.\n",
-    "##################################################\n",
-    "\n",
-    "tf_topic: TrTopic = topics.by_name[\"/tf\"]\n",
-    "\n",
-    "tf_split_topics = []\n",
-    "for pub in tf_topic.publishers:\n",
-    "    pub: TrPublisher\n",
-    "    topic = TrTopic(f\"/tf[{pub.node.path}_{pub.id}]\", _tracing_context)\n",
-    "    pub.topic_name = topic.name\n",
-    "    for sub in tf_topic.subscriptions:\n",
-    "        sub.topic_names.append(topic.name)\n",
-    "\n",
-    "    tf_split_topics.append(topic)\n",
-    "\n",
-    "print(\"Rebuilding subscription index\")\n",
-    "subscriptions.rebuild()\n",
-    "print(\"Rebuilding publisher index\")\n",
-    "publishers.rebuild()\n",
-    "print(\"Adding new topics and rebuilding topic index\")\n",
-    "topics.append(tf_split_topics)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [],
-   "source": [
-    "print(\"Artificial TF topics (/tf[...]):\")\n",
-    "for t in tf_split_topics:\n",
-    "    print(f\"{t.name:.<110s} | {len(t.publishers)} pubs, {sum(map(lambda p: len(p.instances), t.publishers))}\")\n",
-    "    for sub in t.subscriptions:\n",
-    "        print(f\"    {sub.node.path:.<106s} | {len(sub.subscription_object.callback_object.callback_instances)} {len(sub.node.publishers)} {sum(map(lambda p: len(p.instances), sub.node.publishers))}\")\n",
-    "        #prefix = os.path.split(sub.node.path)[0]\n",
-    "        #for node in nodes:\n",
-    "        #    if node.path.startswith(prefix) and node.path.removeprefix(prefix).count(\"/\") <= 1 and \"transform_listener_impl\" not in node.path:\n",
-    "        #        print(f\"    -> {' ' * (len(prefix) - 3)}{node.path.removeprefix(prefix)}\")"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,