diff --git a/jupyter-notebooks/Tile Beam Steering.ipynb b/jupyter-notebooks/Tile Beam Steering.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "fa2af747",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import time"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "e09282f3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[28, 28, 28, 28],\n",
+       "       [19, 19, 19, 19],\n",
+       "       [11, 11, 11, 11],\n",
+       "       [ 3,  3,  3,  3]])"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# point all tiles at the horizon at 24°\n",
+    "beam.HBAT_pointing_direction_RW=[(\"AZELGEO\",\"24deg\",\"0deg\")]*96\n",
+    "    \n",
+    "# wait for pointing to be applied\n",
+    "time.sleep(0.5)\n",
+    "\n",
+    "# obtain and print delays\n",
+    "steps = recv.HBAT_BF_delay_steps_RW[0].reshape(2,4,4)[0]\n",
+    "steps"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "1fe719f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# process these angles\n",
+    "angles = (0, 90, 180, 270)\n",
+    "directions = [\"North\", \"East\", \"South\", \"West\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "68c7c8a3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Pointing North\n",
+      "[[31 29 25 22]\n",
+      " [24 21 17 14]\n",
+      " [17 14 10  7]\n",
+      " [ 9  6  2  0]]\n",
+      "\n",
+      "Pointing East\n",
+      "[[ 9 17 24 31]\n",
+      " [ 6 14 21 29]\n",
+      " [ 2 10 17 25]\n",
+      " [ 0  7 14 22]]\n",
+      "\n",
+      "Pointing South\n",
+      "[[ 0  2  6  9]\n",
+      " [ 7 10 14 17]\n",
+      " [14 17 21 24]\n",
+      " [22 25 29 31]]\n",
+      "\n",
+      "Pointing West\n",
+      "[[22 14  7  0]\n",
+      " [25 17 10  2]\n",
+      " [29 21 14  6]\n",
+      " [31 24 17  9]]\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "for angle, direction in zip(angles, directions):\n",
+    "    # set angles\n",
+    "    beam.HBAT_pointing_direction_RW=[(\"AZELGEO\",f\"{angle}deg\",\"0deg\")]*96\n",
+    "    \n",
+    "    # obtain delays\n",
+    "    time.sleep(0.5)\n",
+    "    steps = recv.HBAT_BF_delay_steps_RW[0].reshape(2,4,4)[0]\n",
+    "    \n",
+    "    print(f\"Pointing {direction}\")\n",
+    "    print(steps)\n",
+    "    print()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "48367453",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import transforms"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "a38c8165",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x720 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# process these angles\n",
+    "angles = (0, 90, 180, 270, 24)\n",
+    "directions = [\"North\", \"East\", \"South\", \"West\", \"24 ° (~NNE)\"]\n",
+    "\n",
+    "fig, axs = plt.subplots(nrows=1, ncols=5, figsize=(15, 10),\n",
+    "                        subplot_kw={'xticks': [], 'yticks': []})\n",
+    "\n",
+    "for idx, (angle, direction) in enumerate(zip(angles, directions)):\n",
+    "    # set angles\n",
+    "    beam.HBAT_pointing_direction_RW=[(\"AZELGEO\",f\"{angle}deg\",\"0deg\")]*96\n",
+    "    \n",
+    "    # obtain delays\n",
+    "    time.sleep(0.5)\n",
+    "    steps = recv.HBAT_BF_delay_steps_RW[0].reshape(2,4,4)[0]\n",
+    "\n",
+    "    # plot on top row\n",
+    "    ax = axs[idx]\n",
+    "    im = ax.imshow(steps, origin=\"upper\")\n",
+    "    im.set_transform(transforms.Affine2D().rotate_deg(24) + ax.transData)\n",
+    "    ax.set_title(f\"Pointing {direction}\")\n",
+    "    ax.set_xlim(-2, 4)\n",
+    "    ax.set_ylim(5, -1)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "699c6510",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "StationControl",
+   "language": "python",
+   "name": "stationcontrol"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}