Accelerometer measurements: Update notebook with latest, more accurate data

author: jaseg <git-bigdata-wsl-arch@jaseg.de> 2021-03-25 17:25:03 +0100
committer: jaseg <git-bigdata-wsl-arch@jaseg.de> 2021-03-25 17:25:03 +0100
commit: bf9abcfdfdeb69d8b70e64ee6aafe18e06dab89a (patch)
tree: 608ca7741508f0b7bc7d76b25eba2a207f02e37b /prototype
parent: 2bb9aecfc62cb597155f50b6bf22131ab33cb301 (diff)
download: ihsm-bf9abcfdfdeb69d8b70e64ee6aafe18e06dab89a.tar.gz
ihsm-bf9abcfdfdeb69d8b70e64ee6aafe18e06dab89a.tar.bz2
ihsm-bf9abcfdfdeb69d8b70e64ee6aafe18e06dab89a.zip
8 files changed, 1455 insertions, 113 deletions
diff --git a/prototype/sensor-analysis/Accelerometer Data Analysis.ipynb b/prototype/sensor-analysis/Accelerometer Data Analysis.ipynb
index 72f13c8..bc59667 100644
--- a/prototype/sensor-analysis/Accelerometer Data Analysis.ipynb
+++ b/prototype/sensor-analysis/Accelerometer Data Analysis.ipynb
@@ -61,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 97,
    "metadata": {
     "scrolled": false
    },
@@ -1058,13 +1058,16 @@
     "    seq, *data, _crc = struct.unpack('<I16hI', packet)\n",
     "    return (seq, tuple(data))\n",
     "\n",
-    "def plot_measurements(ax, t, y):\n",
-    "    ax.grid()\n",
-    "    ax.plot(t, y / mems_lsb_per_g, color='darkblue', alpha=0.2)\n",
+    "def plot_measurements(ax, t, y, offset=0, scale=1, grid=True, label=None):\n",
+    "    y = (y / mems_lsb_per_g - offset) * scale\n",
+    "    \n",
+    "    if grid:\n",
+    "        ax.grid()\n",
+    "    ax.plot(t, y, color='darkblue', alpha=0.2, label=label)\n",
     "    #ax.plot(ts, scipy.signal.savgol_filter(reassembled_values / mems_lsb_per_g, 21, 2) )\n",
     "    sos = scipy.signal.butter(8, 0.5, 'lp', fs=10, output='sos')\n",
-    "    filtered = scipy.signal.sosfiltfilt(sos, y / mems_lsb_per_g)\n",
-    "    ax.plot(t, filtered, color='darkblue')\n",
+    "    filtered = scipy.signal.sosfiltfilt(sos, y)\n",
+    "    ax.plot(t, filtered, color='darkblue', label=f'{label} (lowpass filtered)')\n",
     "    \n",
     "    ax.set_xlabel(r't [mm:ss]')\n",
     "    ax.set_ylabel(r'$a\\; [g]$')\n",
@@ -1131,7 +1134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 126,
    "metadata": {
     "scrolled": false
    },
@@ -1140,10 +1143,10 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Loading run #40 with 4762 packets total, 682 distinct over 572.8108429908752s\n",
+      "Loading run #50 with 79193 packets total, 2623 distinct over 2102.6222710609436s\n",
       "Packet length: 40\n",
       "Very approximate lower bound on baudrate: 129032.25806451612 bd\n",
-      "Sequence number range: 739 ... 1457\n"
+      "Sequence number range: 2121 ... 4755\n"
      ]
     },
     {
@@ -2107,7 +2110,7 @@
     {
      "data": {
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\" 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\" width=\"800\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -2120,96 +2123,176 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Found sensor offset: 0.57 g / 5.55 m/s^2\n",
+      "Found sensor offset: -3.59 g / -35.21 m/s^2\n",
+      "Found sensor scale: -0.014\n",
+      "\n",
+      "Centrifugal acceleration at 1.58 Hz:\n",
+      "         Theory: 0.55 g / 5.42 m/s^2\n",
+      "    Measurement: 0.51 g / 5.028966965088801 m/s^2\n",
+      "     Rel. Error: 7.78 %\n",
+      "     Abs. Error: 0.04 g / 0.39 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 2.11 Hz:\n",
+      "         Theory: 0.99 g / 9.67 m/s^2\n",
+      "    Measurement: 0.93 g / 9.162411313131324 m/s^2\n",
+      "     Rel. Error: 5.51 %\n",
+      "     Abs. Error: 0.05 g / 0.50 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 2.85 Hz:\n",
+      "         Theory: 1.80 g / 17.64 m/s^2\n",
+      "    Measurement: 1.75 g / 17.17632651666313 m/s^2\n",
+      "     Rel. Error: 2.68 %\n",
+      "     Abs. Error: 0.05 g / 0.46 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 3.30 Hz:\n",
+      "         Theory: 2.41 g / 23.65 m/s^2\n",
+      "    Measurement: 2.38 g / 23.327857994031824 m/s^2\n",
+      "     Rel. Error: 1.36 %\n",
+      "     Abs. Error: 0.03 g / 0.32 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 4.58 Hz:\n",
+      "         Theory: 4.64 g / 45.55 m/s^2\n",
+      "    Measurement: 4.61 g / 45.215765910987294 m/s^2\n",
+      "     Rel. Error: 0.73 %\n",
+      "     Abs. Error: 0.03 g / 0.33 m/s^2\n",
       "\n",
-      "Centrifugal acceleration at 3.12 Hz:\n",
-      "         Theory: 2.16 g / 21.14 m/s^2\n",
-      "    Measurement: 1.90 g / 18.586194313627637 m/s^2\n",
-      "     Rel. Error: 13.72 %\n",
-      "     Abs. Error: 0.26 g / 2.55 m/s^2\n",
+      "Centrifugal acceleration at 5.03 Hz:\n",
+      "         Theory: 5.60 g / 54.94 m/s^2\n",
+      "    Measurement: 5.60 g / 54.879353326521255 m/s^2\n",
+      "     Rel. Error: 0.10 %\n",
+      "     Abs. Error: 0.01 g / 0.06 m/s^2\n",
       "\n",
-      "Centrifugal acceleration at 5.55 Hz:\n",
-      "         Theory: 6.82 g / 66.88 m/s^2\n",
-      "    Measurement: 6.60 g / 64.67817413725541 m/s^2\n",
-      "     Rel. Error: 3.41 %\n",
-      "     Abs. Error: 0.22 g / 2.20 m/s^2\n",
+      "Centrifugal acceleration at 5.64 Hz:\n",
+      "         Theory: 7.04 g / 69.07 m/s^2\n",
+      "    Measurement: 7.07 g / 69.32805905894263 m/s^2\n",
+      "     Rel. Error: -0.37 %\n",
+      "     Abs. Error: -0.03 g / -0.26 m/s^2\n",
       "\n",
-      "Centrifugal acceleration at 8.20 Hz:\n",
-      "         Theory: 14.89 g / 146.00 m/s^2\n",
-      "    Measurement: 14.82 g / 145.35641444809548 m/s^2\n",
-      "     Rel. Error: 0.44 %\n",
-      "     Abs. Error: 0.07 g / 0.64 m/s^2\n",
+      "Centrifugal acceleration at 6.27 Hz:\n",
+      "         Theory: 8.70 g / 85.36 m/s^2\n",
+      "    Measurement: 8.73 g / 85.58819751832274 m/s^2\n",
+      "     Rel. Error: -0.27 %\n",
+      "     Abs. Error: -0.02 g / -0.23 m/s^2\n",
       "\n",
-      "Centrifugal acceleration at 10.20 Hz:\n",
-      "         Theory: 23.04 g / 225.90 m/s^2\n",
-      "    Measurement: 23.11 g / 226.6766272456559 m/s^2\n",
-      "     Rel. Error: -0.34 %\n",
-      "     Abs. Error: -0.08 g / -0.77 m/s^2\n",
+      "Centrifugal acceleration at 6.92 Hz:\n",
+      "         Theory: 10.60 g / 103.98 m/s^2\n",
+      "    Measurement: 10.61 g / 104.02675841921068 m/s^2\n",
+      "     Rel. Error: -0.05 %\n",
+      "     Abs. Error: -0.01 g / -0.05 m/s^2\n",
       "\n",
-      "Centrifugal acceleration at 12.50 Hz:\n",
-      "         Theory: 34.60 g / 339.27 m/s^2\n",
-      "    Measurement: 34.80 g / 341.26606334638393 m/s^2\n",
-      "     Rel. Error: -0.59 %\n",
-      "     Abs. Error: -0.20 g / -2.00 m/s^2\n",
+      "Centrifugal acceleration at 7.52 Hz:\n",
+      "         Theory: 12.52 g / 122.79 m/s^2\n",
+      "    Measurement: 12.55 g / 123.06283558349547 m/s^2\n",
+      "     Rel. Error: -0.22 %\n",
+      "     Abs. Error: -0.03 g / -0.27 m/s^2\n",
       "\n",
-      "Centrifugal acceleration at 15.60 Hz:\n",
-      "         Theory: 53.88 g / 528.41 m/s^2\n",
-      "    Measurement: 51.75 g / 507.51233891199473 m/s^2\n",
-      "     Rel. Error: 4.12 %\n",
-      "     Abs. Error: 2.13 g / 20.90 m/s^2\n",
+      "Centrifugal acceleration at 8.11 Hz:\n",
+      "         Theory: 14.56 g / 142.81 m/s^2\n",
+      "    Measurement: 14.60 g / 143.1378855707173 m/s^2\n",
+      "     Rel. Error: -0.23 %\n",
+      "     Abs. Error: -0.03 g / -0.33 m/s^2\n",
       "\n",
-      "Centrifugal acceleration at 19.20 Hz:\n",
-      "         Theory: 81.62 g / 800.43 m/s^2\n",
-      "    Measurement: 82.09 g / 805.0345119987545 m/s^2\n",
-      "     Rel. Error: -0.57 %\n",
-      "     Abs. Error: -0.47 g / -4.60 m/s^2\n",
+      "Centrifugal acceleration at 8.83 Hz:\n",
+      "         Theory: 17.26 g / 169.29 m/s^2\n",
+      "    Measurement: 17.29 g / 169.5411921794013 m/s^2\n",
+      "     Rel. Error: -0.15 %\n",
+      "     Abs. Error: -0.03 g / -0.25 m/s^2\n",
       "\n",
-      "Centrifugal acceleration at 11.60 Hz:\n",
-      "         Theory: 29.79 g / 292.17 m/s^2\n",
-      "    Measurement: 29.71 g / 291.36536349393447 m/s^2\n",
-      "     Rel. Error: 0.28 %\n",
-      "     Abs. Error: 0.08 g / 0.81 m/s^2\n",
+      "Centrifugal acceleration at 9.34 Hz:\n",
+      "         Theory: 19.32 g / 189.42 m/s^2\n",
+      "    Measurement: 19.33 g / 189.55282064313795 m/s^2\n",
+      "     Rel. Error: -0.07 %\n",
+      "     Abs. Error: -0.01 g / -0.14 m/s^2\n",
       "\n",
-      "Centrifugal acceleration at 6.49 Hz:\n",
-      "         Theory: 9.33 g / 91.46 m/s^2\n",
-      "    Measurement: 9.21 g / 90.28568973827844 m/s^2\n",
-      "     Rel. Error: 1.30 %\n",
-      "     Abs. Error: 0.12 g / 1.17 m/s^2\n",
+      "Centrifugal acceleration at 10.08 Hz:\n",
+      "         Theory: 22.50 g / 220.62 m/s^2\n",
+      "    Measurement: 22.64 g / 222.01323904535036 m/s^2\n",
+      "     Rel. Error: -0.63 %\n",
+      "     Abs. Error: -0.14 g / -1.39 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 10.92 Hz:\n",
+      "         Theory: 26.40 g / 258.92 m/s^2\n",
+      "    Measurement: 26.44 g / 259.29404953313013 m/s^2\n",
+      "     Rel. Error: -0.14 %\n",
+      "     Abs. Error: -0.04 g / -0.37 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 11.92 Hz:\n",
+      "         Theory: 31.46 g / 308.51 m/s^2\n",
+      "    Measurement: 31.43 g / 308.2330187199834 m/s^2\n",
+      "     Rel. Error: 0.09 %\n",
+      "     Abs. Error: 0.03 g / 0.28 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 13.24 Hz:\n",
+      "         Theory: 38.81 g / 380.63 m/s^2\n",
+      "    Measurement: 38.83 g / 380.7555308252864 m/s^2\n",
+      "     Rel. Error: -0.03 %\n",
+      "     Abs. Error: -0.01 g / -0.13 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 14.10 Hz:\n",
+      "         Theory: 44.02 g / 431.68 m/s^2\n",
+      "    Measurement: 44.00 g / 431.4606825509938 m/s^2\n",
+      "     Rel. Error: 0.05 %\n",
+      "     Abs. Error: 0.02 g / 0.22 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 15.18 Hz:\n",
+      "         Theory: 51.02 g / 500.34 m/s^2\n",
+      "    Measurement: 50.93 g / 499.4553254402874 m/s^2\n",
+      "     Rel. Error: 0.18 %\n",
+      "     Abs. Error: 0.09 g / 0.89 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 16.39 Hz:\n",
+      "         Theory: 59.48 g / 583.28 m/s^2\n",
+      "    Measurement: 59.48 g / 583.3128315154445 m/s^2\n",
+      "     Rel. Error: -0.00 %\n",
+      "     Abs. Error: -0.00 g / -0.03 m/s^2\n",
       "\n"
      ]
     }
    ],
    "source": [
-    "t, y, _1, _2 = load_run(40, plot=False)\n",
+    "t, y, _1, _2 = load_run(50, plot=False)\n",
     "\n",
     "ivl_start, ivl_end = 0.5, 1\n",
     "ivl_start, ivl_end = int(ivl_start*60*sampling_rate), int(ivl_end*60*sampling_rate)\n",
     "\n",
-    "fig, ax = plt.subplots(figsize=(5, 3))\n",
+    "fig, ax = plt.subplots(figsize=(8, 5))\n",
     "#ax.axvspan(ivl_start/60/sampling_rate, ivl_end/60/sampling_rate, color='orange', alpha=0.5)\n",
-    "    \n",
-    "plot_measurements(ax, t, y)\n",
     "\n",
-    "le_data = [(0, 50, 3.12), (1,50,5.55), (2,40, 8.2), (3, 30, 10.2), (4,15, 12.5), (5,10, 15.6),\n",
-    "           (6,10, 19.2), (7,11, 11.6), (8,15, 6.49)]\n",
-    "avg_include = [True, True, True, True, True, False, True, True, True]\n",
+    "# Run 40\n",
+    "#le_data = [(0, 50, 3.12), (1,50,5.55), (2,40, 8.2), (3, 30, 10.2), (4,15, 12.5), (5,10, 15.6),\n",
+    "#           (6,10, 19.2), (7,11, 11.6), (8,15, 6.49)]\n",
+    "# avg_include = [True, True, True, True, True, False, True, True, True]\n",
+    "\n",
+    "# Run 50\n",
+    "le_data = [\n",
+    "    1.58, 2.11, 2.85, 3.30, 4.58, 5.03, 5.64, 6.27, 6.92, 7.52, 8.11, 8.83, 9.34, 10.08, 10.92, 11.92,\n",
+    "    13.24, 14.10, 15.18, 16.39\n",
+    "]\n",
+    "le_data = [ (i*90 + 45, i*90 + 45 + 40, f) for i, f in enumerate(le_data) ]\n",
+    "\n",
+    "# Run 52\n",
+    "#le_data = [ 3.21, 4.10, 5.09, 6.18, 7.04, 8.13, 9.41, 10.37, 11.44, 12.64, 14.06, 15.10, 16.07, 17.33 ]\n",
+    "#le_data = [ (i*90 + 45, i*90 + 45 + 30, f) for i, f in enumerate(le_data) ]\n",
+    "\n",
+    "avg_include = [True] * len(le_data)\n",
+    "\n",
     "acc_theory = []\n",
     "acc_meas = []\n",
     "\n",
-    "for ts_m, ts_s, f_actual in le_data:\n",
+    "#for ts_m, ts_s, f_actual in le_data:\n",
+    "for ts_start, ts_end, f_actual in le_data:\n",
     "    omegan = 2*np.pi*f_actual # angular velocity\n",
     "    acc = omegan**2 * r_mems # m/s^2\n",
     "    acc_theory.append(acc / g)\n",
     "    \n",
-    "    \n",
-    "    ts_abs = ts_m + ts_s/60\n",
-    "    ivl_w = 0.5\n",
-    "    \n",
     "    #ax.axvspan(ts_abs-ivl_w/2, ts_abs+ivl_w/2, zorder=1, color='red', alpha=0.1)\n",
     "    \n",
-    "    idx = (ts_abs - ivl_w/2 < t) & (t < ts_abs + ivl_w/2)\n",
+    "    idx = (ts_start/60 < t) & (t < ts_end/60)\n",
     "    ivl_avg = (y / mems_lsb_per_g)[idx].mean()\n",
     "    acc_meas.append(ivl_avg)\n",
+    "    \n",
+    "for (_1, prev_end, _2), (next_start, _3, _4) in zip([(None, 0, None)] + le_data, le_data + [(len(le_data)*90+45, None, None)]):\n",
+    "    ax.axvspan(prev_end/60, next_start/60, zorder=1, color='black', alpha=0.05)\n",
     "\n",
     "# Calculate offset correction. The offset is due to manufacturing imperfections inherent to the device.\n",
     "# Note that while in the \"0Hz\" still part of the line at the beginning and end of the trace we see a\n",
@@ -2222,18 +2305,27 @@
     "# The sensor's nonlinearity error is specified as +/- 2 %FS and we're well within that as well.\n",
     "\n",
     "def fun(x, *args):\n",
-    "    return np.sqrt(np.mean([ (meas - x[0] - theory)**2\n",
+    "    return np.sqrt(np.mean([ ((meas - x[0])*x[1] - theory)**2\n",
     "                            for theory, meas, inc in zip(acc_theory, acc_meas, avg_include)\n",
     "                            if inc ]))\n",
-    "res = scipy.optimize.minimize(fun, 1)\n",
-    "sensor_offx = np.abs(res.x[0])\n",
+    "res = scipy.optimize.minimize(fun, (1, 1))\n",
+    "sensor_offx = res.x[0]\n",
+    "sensor_scale = np.abs(res.x[1])\n",
     "\n",
     "print(f'Found sensor offset: {sensor_offx:.2f} g / {sensor_offx*g:.2f} m/s^2')\n",
-    "print()\n",
+    "print(f'Found sensor scale: {sensor_scale-1.0:+.3f}')\n",
+    "print()    \n",
+    "\n",
+    "plot_measurements(ax, t, y, offset=sensor_offx, scale=sensor_scale, grid=False, label='Accelerometer readings')\n",
+    "\n",
+    "ax.axhline(0, linewidth=1, color='black', alpha=0.5, zorder=1)\n",
     "\n",
+    "label = {'label': 'Theoretical results from direct frequency measurement'}\n",
     "for theory, meas, (_1, _2, f_actual) in zip(acc_theory, acc_meas, le_data):\n",
-    "    ax.axhline(theory - sensor_offx, color='orange', alpha=1, zorder=1)\n",
-    "    meas += sensor_offx\n",
+    "    ax.axhline(theory, color='orange', alpha=1, zorder=1, linewidth=1, **label)\n",
+    "    label = {}\n",
+    "    meas = (meas - sensor_offx) * sensor_scale\n",
+    "    #ax.axhline(meas, color='red', alpha=0.2, zorder=1)\n",
     "        \n",
     "    print(f'Centrifugal acceleration at {f_actual:.2f} Hz:')\n",
     "    print(f'         Theory: {theory:.2f} g / {theory*g:.2f} m/s^2')\n",
@@ -2242,13 +2334,14 @@
     "    print(f'     Abs. Error: {theory-meas:.2f} g / {(theory-meas)*g:.2f} m/s^2')\n",
     "    print()\n",
     "\n",
+    "ax.legend(loc='upper left')\n",
     "fig.tight_layout()\n",
-    "fig.savefig('fig-acc-trace-steps.pdf')"
+    "fig.savefig('fig-acc-trace-steps-run50.pdf')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 84,
    "metadata": {},
    "outputs": [
     {
@@ -3212,7 +3305,7 @@
     {
      "data": {
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\" 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\" width=\"640\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -3224,10 +3317,10 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f2d6d065190>"
+       "<matplotlib.legend.Legend at 0x7f71585f26d0>"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 84,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3241,8 +3334,10 @@
     "acc_meas_sorted = [ acc for _f, acc in sorted(zip(freqs, acc_meas)) ]\n",
     "freqs = sorted(freqs)\n",
     "\n",
+    "acc_meas_sorted = (np.array(acc_meas_sorted) - sensor_offx) * sensor_scale\n",
+    "\n",
     "ax.plot(freqs, acc_theory_sorted, label='Theory')\n",
-    "ax.plot(freqs, acc_meas_sorted, label='Measurements')\n",
+    "ax.plot(freqs, acc_meas_sorted, '+', label='Measurements')\n",
     "    \n",
     "ax.grid()\n",
     "ax.set_xlabel('$f\\;[Hz]$')\n",
@@ -3256,12 +3351,1228 @@
     "ax3.set_ylim(y1*g, y2*g)\n",
     "ax3.set_ylabel('$a\\;[ms^-1]$')\n",
     "\n",
-    "ax.legend()"
+    "ax.legend()\n",
+    "\n",
+    "ax.savefig('fig-acc-theory-meas-run50.pdf')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 125,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loading run #50 with 79193 packets total, 2623 distinct over 2102.6222710609436s\n",
+      "Packet length: 40\n",
+      "Very approximate lower bound on baudrate: 129032.25806451612 bd\n",
+      "Sequence number range: 2121 ... 4755\n"
+     ]
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "/* global mpl */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "mpl.get_websocket_type = function () {\n",
+       "    if (typeof WebSocket !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert(\n",
+       "            'Your browser does not have WebSocket support. ' +\n",
+       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "                'Firefox 4 and 5 are also supported but you ' +\n",
+       "                'have to enable WebSockets in about:config.'\n",
+       "        );\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById('mpl-warnings');\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent =\n",
+       "                'This browser does not support binary websocket messages. ' +\n",
+       "                'Performance may be slow.';\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = document.createElement('div');\n",
+       "    this.root.setAttribute('style', 'display: inline-block');\n",
+       "    this._root_extra_style(this.root);\n",
+       "\n",
+       "    parent_element.appendChild(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen = function () {\n",
+       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
+       "        fig.send_message('send_image_mode', {});\n",
+       "        if (fig.ratio !== 1) {\n",
+       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
+       "        }\n",
+       "        fig.send_message('refresh', {});\n",
+       "    };\n",
+       "\n",
+       "    this.imageObj.onload = function () {\n",
+       "        if (fig.image_mode === 'full') {\n",
+       "            // Full images could contain transparency (where diff images\n",
+       "            // almost always do), so we need to clear the canvas so that\n",
+       "            // there is no ghosting.\n",
+       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "        }\n",
+       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "    };\n",
+       "\n",
+       "    this.imageObj.onunload = function () {\n",
+       "        fig.ws.close();\n",
+       "    };\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function () {\n",
+       "    var titlebar = document.createElement('div');\n",
+       "    titlebar.classList =\n",
+       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
+       "    var titletext = document.createElement('div');\n",
+       "    titletext.classList = 'ui-dialog-title';\n",
+       "    titletext.setAttribute(\n",
+       "        'style',\n",
+       "        'width: 100%; text-align: center; padding: 3px;'\n",
+       "    );\n",
+       "    titlebar.appendChild(titletext);\n",
+       "    this.root.appendChild(titlebar);\n",
+       "    this.header = titletext;\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function () {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
+       "    canvas_div.setAttribute(\n",
+       "        'style',\n",
+       "        'border: 1px solid #ddd;' +\n",
+       "            'box-sizing: content-box;' +\n",
+       "            'clear: both;' +\n",
+       "            'min-height: 1px;' +\n",
+       "            'min-width: 1px;' +\n",
+       "            'outline: 0;' +\n",
+       "            'overflow: hidden;' +\n",
+       "            'position: relative;' +\n",
+       "            'resize: both;'\n",
+       "    );\n",
+       "\n",
+       "    function on_keyboard_event_closure(name) {\n",
+       "        return function (event) {\n",
+       "            return fig.key_event(event, name);\n",
+       "        };\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'keydown',\n",
+       "        on_keyboard_event_closure('key_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'keyup',\n",
+       "        on_keyboard_event_closure('key_release')\n",
+       "    );\n",
+       "\n",
+       "    this._canvas_extra_style(canvas_div);\n",
+       "    this.root.appendChild(canvas_div);\n",
+       "\n",
+       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
+       "    canvas.classList.add('mpl-canvas');\n",
+       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
+       "\n",
+       "    this.context = canvas.getContext('2d');\n",
+       "\n",
+       "    var backingStore =\n",
+       "        this.context.backingStorePixelRatio ||\n",
+       "        this.context.webkitBackingStorePixelRatio ||\n",
+       "        this.context.mozBackingStorePixelRatio ||\n",
+       "        this.context.msBackingStorePixelRatio ||\n",
+       "        this.context.oBackingStorePixelRatio ||\n",
+       "        this.context.backingStorePixelRatio ||\n",
+       "        1;\n",
+       "\n",
+       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
+       "        'canvas'\n",
+       "    ));\n",
+       "    rubberband_canvas.setAttribute(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
+       "    );\n",
+       "\n",
+       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
+       "    if (this.ResizeObserver === undefined) {\n",
+       "        if (window.ResizeObserver !== undefined) {\n",
+       "            this.ResizeObserver = window.ResizeObserver;\n",
+       "        } else {\n",
+       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
+       "            this.ResizeObserver = obs.ResizeObserver;\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
+       "        var nentries = entries.length;\n",
+       "        for (var i = 0; i < nentries; i++) {\n",
+       "            var entry = entries[i];\n",
+       "            var width, height;\n",
+       "            if (entry.contentBoxSize) {\n",
+       "                if (entry.contentBoxSize instanceof Array) {\n",
+       "                    // Chrome 84 implements new version of spec.\n",
+       "                    width = entry.contentBoxSize[0].inlineSize;\n",
+       "                    height = entry.contentBoxSize[0].blockSize;\n",
+       "                } else {\n",
+       "                    // Firefox implements old version of spec.\n",
+       "                    width = entry.contentBoxSize.inlineSize;\n",
+       "                    height = entry.contentBoxSize.blockSize;\n",
+       "                }\n",
+       "            } else {\n",
+       "                // Chrome <84 implements even older version of spec.\n",
+       "                width = entry.contentRect.width;\n",
+       "                height = entry.contentRect.height;\n",
+       "            }\n",
+       "\n",
+       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
+       "            // the canvas container.\n",
+       "            if (entry.devicePixelContentBoxSize) {\n",
+       "                // Chrome 84 implements new version of spec.\n",
+       "                canvas.setAttribute(\n",
+       "                    'width',\n",
+       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
+       "                );\n",
+       "                canvas.setAttribute(\n",
+       "                    'height',\n",
+       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
+       "                );\n",
+       "            } else {\n",
+       "                canvas.setAttribute('width', width * fig.ratio);\n",
+       "                canvas.setAttribute('height', height * fig.ratio);\n",
+       "            }\n",
+       "            canvas.setAttribute(\n",
+       "                'style',\n",
+       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
+       "            );\n",
+       "\n",
+       "            rubberband_canvas.setAttribute('width', width);\n",
+       "            rubberband_canvas.setAttribute('height', height);\n",
+       "\n",
+       "            // And update the size in Python. We ignore the initial 0/0 size\n",
+       "            // that occurs as the element is placed into the DOM, which should\n",
+       "            // otherwise not happen due to the minimum size styling.\n",
+       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
+       "                fig.request_resize(width, height);\n",
+       "            }\n",
+       "        }\n",
+       "    });\n",
+       "    this.resizeObserverInstance.observe(canvas_div);\n",
+       "\n",
+       "    function on_mouse_event_closure(name) {\n",
+       "        return function (event) {\n",
+       "            return fig.mouse_event(event, name);\n",
+       "        };\n",
+       "    }\n",
+       "\n",
+       "    rubberband_canvas.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    rubberband_canvas.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband_canvas.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    rubberband_canvas.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    rubberband_canvas.addEventListener(\n",
+       "        'mouseleave',\n",
+       "        on_mouse_event_closure('figure_leave')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener('wheel', function (event) {\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        on_mouse_event_closure('scroll')(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.appendChild(canvas);\n",
+       "    canvas_div.appendChild(rubberband_canvas);\n",
+       "\n",
+       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
+       "    this.rubberband_context.strokeStyle = '#000000';\n",
+       "\n",
+       "    this._resize_canvas = function (width, height, forward) {\n",
+       "        if (forward) {\n",
+       "            canvas_div.style.width = width + 'px';\n",
+       "            canvas_div.style.height = height + 'px';\n",
+       "        }\n",
+       "    };\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
+       "        event.preventDefault();\n",
+       "        return false;\n",
+       "    });\n",
+       "\n",
+       "    function set_focus() {\n",
+       "        canvas.focus();\n",
+       "        canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    window.setTimeout(set_focus, 100);\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function () {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var toolbar = document.createElement('div');\n",
+       "    toolbar.classList = 'mpl-toolbar';\n",
+       "    this.root.appendChild(toolbar);\n",
+       "\n",
+       "    function on_click_closure(name) {\n",
+       "        return function (_event) {\n",
+       "            return fig.toolbar_button_onclick(name);\n",
+       "        };\n",
+       "    }\n",
+       "\n",
+       "    function on_mouseover_closure(tooltip) {\n",
+       "        return function (event) {\n",
+       "            if (!event.currentTarget.disabled) {\n",
+       "                return fig.toolbar_button_onmouseover(tooltip);\n",
+       "            }\n",
+       "        };\n",
+       "    }\n",
+       "\n",
+       "    fig.buttons = {};\n",
+       "    var buttonGroup = document.createElement('div');\n",
+       "    buttonGroup.classList = 'mpl-button-group';\n",
+       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            /* Instead of a spacer, we start a new button group. */\n",
+       "            if (buttonGroup.hasChildNodes()) {\n",
+       "                toolbar.appendChild(buttonGroup);\n",
+       "            }\n",
+       "            buttonGroup = document.createElement('div');\n",
+       "            buttonGroup.classList = 'mpl-button-group';\n",
+       "            continue;\n",
+       "        }\n",
+       "\n",
+       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
+       "        button.classList = 'mpl-widget';\n",
+       "        button.setAttribute('role', 'button');\n",
+       "        button.setAttribute('aria-disabled', 'false');\n",
+       "        button.addEventListener('click', on_click_closure(method_name));\n",
+       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+       "\n",
+       "        var icon_img = document.createElement('img');\n",
+       "        icon_img.src = '_images/' + image + '.png';\n",
+       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
+       "        icon_img.alt = tooltip;\n",
+       "        button.appendChild(icon_img);\n",
+       "\n",
+       "        buttonGroup.appendChild(button);\n",
+       "    }\n",
+       "\n",
+       "    if (buttonGroup.hasChildNodes()) {\n",
+       "        toolbar.appendChild(buttonGroup);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker = document.createElement('select');\n",
+       "    fmt_picker.classList = 'mpl-widget';\n",
+       "    toolbar.appendChild(fmt_picker);\n",
+       "    this.format_dropdown = fmt_picker;\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = document.createElement('option');\n",
+       "        option.selected = fmt === mpl.default_extension;\n",
+       "        option.innerHTML = fmt;\n",
+       "        fmt_picker.appendChild(option);\n",
+       "    }\n",
+       "\n",
+       "    var status_bar = document.createElement('span');\n",
+       "    status_bar.classList = 'mpl-message';\n",
+       "    toolbar.appendChild(status_bar);\n",
+       "    this.message = status_bar;\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
+       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
+       "    // which will in turn request a refresh of the image.\n",
+       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.send_message = function (type, properties) {\n",
+       "    properties['type'] = type;\n",
+       "    properties['figure_id'] = this.id;\n",
+       "    this.ws.send(JSON.stringify(properties));\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.send_draw_message = function () {\n",
+       "    if (!this.waiting) {\n",
+       "        this.waiting = true;\n",
+       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+       "    var format_dropdown = fig.format_dropdown;\n",
+       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
+       "    fig.ondownload(fig, format);\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
+       "    var size = msg['size'];\n",
+       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
+       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
+       "        fig.send_message('refresh', {});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
+       "    var x0 = msg['x0'] / fig.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
+       "    var x1 = msg['x1'] / fig.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0,\n",
+       "        0,\n",
+       "        fig.canvas.width / fig.ratio,\n",
+       "        fig.canvas.height / fig.ratio\n",
+       "    );\n",
+       "\n",
+       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
+       "    // Updates the figure title.\n",
+       "    fig.header.textContent = msg['label'];\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
+       "    var cursor = msg['cursor'];\n",
+       "    switch (cursor) {\n",
+       "        case 0:\n",
+       "            cursor = 'pointer';\n",
+       "            break;\n",
+       "        case 1:\n",
+       "            cursor = 'default';\n",
+       "            break;\n",
+       "        case 2:\n",
+       "            cursor = 'crosshair';\n",
+       "            break;\n",
+       "        case 3:\n",
+       "            cursor = 'move';\n",
+       "            break;\n",
+       "    }\n",
+       "    fig.rubberband_canvas.style.cursor = cursor;\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
+       "    fig.message.textContent = msg['message'];\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
+       "    // Request the server to send over a new figure.\n",
+       "    fig.send_draw_message();\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
+       "    fig.image_mode = msg['mode'];\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
+       "    for (var key in msg) {\n",
+       "        if (!(key in fig.buttons)) {\n",
+       "            continue;\n",
+       "        }\n",
+       "        fig.buttons[key].disabled = !msg[key];\n",
+       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
+       "    if (msg['mode'] === 'PAN') {\n",
+       "        fig.buttons['Pan'].classList.add('active');\n",
+       "        fig.buttons['Zoom'].classList.remove('active');\n",
+       "    } else if (msg['mode'] === 'ZOOM') {\n",
+       "        fig.buttons['Pan'].classList.remove('active');\n",
+       "        fig.buttons['Zoom'].classList.add('active');\n",
+       "    } else {\n",
+       "        fig.buttons['Pan'].classList.remove('active');\n",
+       "        fig.buttons['Zoom'].classList.remove('active');\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function () {\n",
+       "    // Called whenever the canvas gets updated.\n",
+       "    this.send_message('ack', {});\n",
+       "};\n",
+       "\n",
+       "// A function to construct a web socket function for onmessage handling.\n",
+       "// Called in the figure constructor.\n",
+       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
+       "    return function socket_on_message(evt) {\n",
+       "        if (evt.data instanceof Blob) {\n",
+       "            /* FIXME: We get \"Resource interpreted as Image but\n",
+       "             * transferred with MIME type text/plain:\" errors on\n",
+       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
+       "             * to be part of the websocket stream */\n",
+       "            evt.data.type = 'image/png';\n",
+       "\n",
+       "            /* Free the memory for the previous frames */\n",
+       "            if (fig.imageObj.src) {\n",
+       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
+       "                    fig.imageObj.src\n",
+       "                );\n",
+       "            }\n",
+       "\n",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data\n",
+       "            );\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        } else if (\n",
+       "            typeof evt.data === 'string' &&\n",
+       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
+       "        ) {\n",
+       "            fig.imageObj.src = evt.data;\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        var msg = JSON.parse(evt.data);\n",
+       "        var msg_type = msg['type'];\n",
+       "\n",
+       "        // Call the  \"handle_{type}\" callback, which takes\n",
+       "        // the figure and JSON message as its only arguments.\n",
+       "        try {\n",
+       "            var callback = fig['handle_' + msg_type];\n",
+       "        } catch (e) {\n",
+       "            console.log(\n",
+       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
+       "                msg\n",
+       "            );\n",
+       "            return;\n",
+       "        }\n",
+       "\n",
+       "        if (callback) {\n",
+       "            try {\n",
+       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
+       "                callback(fig, msg);\n",
+       "            } catch (e) {\n",
+       "                console.log(\n",
+       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
+       "                    e,\n",
+       "                    e.stack,\n",
+       "                    msg\n",
+       "                );\n",
+       "            }\n",
+       "        }\n",
+       "    };\n",
+       "};\n",
+       "\n",
+       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
+       "mpl.findpos = function (e) {\n",
+       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
+       "    var targ;\n",
+       "    if (!e) {\n",
+       "        e = window.event;\n",
+       "    }\n",
+       "    if (e.target) {\n",
+       "        targ = e.target;\n",
+       "    } else if (e.srcElement) {\n",
+       "        targ = e.srcElement;\n",
+       "    }\n",
+       "    if (targ.nodeType === 3) {\n",
+       "        // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "    }\n",
+       "\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    var boundingRect = targ.getBoundingClientRect();\n",
+       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
+       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
+       "\n",
+       "    return { x: x, y: y };\n",
+       "};\n",
+       "\n",
+       "/*\n",
+       " * return a copy of an object with only non-object keys\n",
+       " * we need this to avoid circular references\n",
+       " * http://stackoverflow.com/a/24161582/3208463\n",
+       " */\n",
+       "function simpleKeys(original) {\n",
+       "    return Object.keys(original).reduce(function (obj, key) {\n",
+       "        if (typeof original[key] !== 'object') {\n",
+       "            obj[key] = original[key];\n",
+       "        }\n",
+       "        return obj;\n",
+       "    }, {});\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
+       "    var canvas_pos = mpl.findpos(event);\n",
+       "\n",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * this.ratio;\n",
+       "    var y = canvas_pos.y * this.ratio;\n",
+       "\n",
+       "    this.send_message(name, {\n",
+       "        x: x,\n",
+       "        y: y,\n",
+       "        button: event.button,\n",
+       "        step: event.step,\n",
+       "        guiEvent: simpleKeys(event),\n",
+       "    });\n",
+       "\n",
+       "    /* This prevents the web browser from automatically changing to\n",
+       "     * the text insertion cursor when the button is pressed.  We want\n",
+       "     * to control all of the cursor setting manually through the\n",
+       "     * 'cursor' event from matplotlib */\n",
+       "    event.preventDefault();\n",
+       "    return false;\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
+       "    // Handle any extra behaviour associated with a key event\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.key_event = function (event, name) {\n",
+       "    // Prevent repeat events\n",
+       "    if (name === 'key_press') {\n",
+       "        if (event.which === this._key) {\n",
+       "            return;\n",
+       "        } else {\n",
+       "            this._key = event.which;\n",
+       "        }\n",
+       "    }\n",
+       "    if (name === 'key_release') {\n",
+       "        this._key = null;\n",
+       "    }\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which !== 17) {\n",
+       "        value += 'ctrl+';\n",
+       "    }\n",
+       "    if (event.altKey && event.which !== 18) {\n",
+       "        value += 'alt+';\n",
+       "    }\n",
+       "    if (event.shiftKey && event.which !== 16) {\n",
+       "        value += 'shift+';\n",
+       "    }\n",
+       "\n",
+       "    value += 'k';\n",
+       "    value += event.which.toString();\n",
+       "\n",
+       "    this._key_event_extra(event, name);\n",
+       "\n",
+       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
+       "    return false;\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
+       "    if (name === 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message('toolbar_button', { name: name });\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "\n",
+       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
+       "// prettier-ignore\n",
+       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
+       "\n",
+       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
+       "\n",
+       "mpl.default_extension = \"png\";/* global mpl */\n",
+       "\n",
+       "var comm_websocket_adapter = function (comm) {\n",
+       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
+       "    // object with the appropriate methods. Currently this is a non binary\n",
+       "    // socket, so there is still some room for performance tuning.\n",
+       "    var ws = {};\n",
+       "\n",
+       "    ws.close = function () {\n",
+       "        comm.close();\n",
+       "    };\n",
+       "    ws.send = function (m) {\n",
+       "        //console.log('sending', m);\n",
+       "        comm.send(m);\n",
+       "    };\n",
+       "    // Register the callback with on_msg.\n",
+       "    comm.on_msg(function (msg) {\n",
+       "        //console.log('receiving', msg['content']['data'], msg);\n",
+       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
+       "        ws.onmessage(msg['content']['data']);\n",
+       "    });\n",
+       "    return ws;\n",
+       "};\n",
+       "\n",
+       "mpl.mpl_figure_comm = function (comm, msg) {\n",
+       "    // This is the function which gets called when the mpl process\n",
+       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
+       "\n",
+       "    var id = msg.content.data.id;\n",
+       "    // Get hold of the div created by the display call when the Comm\n",
+       "    // socket was opened in Python.\n",
+       "    var element = document.getElementById(id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm);\n",
+       "\n",
+       "    function ondownload(figure, _format) {\n",
+       "        window.open(figure.canvas.toDataURL());\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
+       "\n",
+       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
+       "    // web socket which is closed, not our websocket->open comm proxy.\n",
+       "    ws_proxy.onopen();\n",
+       "\n",
+       "    fig.parent_element = element;\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error('Failed to find cell for figure', id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "    fig.cell_info[0].output_area.element.on(\n",
+       "        'cleared',\n",
+       "        { fig: fig },\n",
+       "        fig._remove_fig_handler\n",
+       "    );\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
+       "    var width = fig.canvas.width / fig.ratio;\n",
+       "    fig.cell_info[0].output_area.element.off(\n",
+       "        'cleared',\n",
+       "        fig._remove_fig_handler\n",
+       "    );\n",
+       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
+       "\n",
+       "    // Update the output cell to use the data from the current canvas.\n",
+       "    fig.push_to_output();\n",
+       "    var dataURL = fig.canvas.toDataURL();\n",
+       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
+       "    // the notebook keyboard shortcuts fail.\n",
+       "    IPython.keyboard_manager.enable();\n",
+       "    fig.parent_element.innerHTML =\n",
+       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "    fig.close_ws(fig, msg);\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width / this.ratio;\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] =\n",
+       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.updated_canvas_event = function () {\n",
+       "    // Tell IPython that the notebook contents must change.\n",
+       "    IPython.notebook.set_dirty(true);\n",
+       "    this.send_message('ack', {});\n",
+       "    var fig = this;\n",
+       "    // Wait a second, then push the new image to the DOM so\n",
+       "    // that it is saved nicely (might be nice to debounce this).\n",
+       "    setTimeout(function () {\n",
+       "        fig.push_to_output();\n",
+       "    }, 1000);\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function () {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var toolbar = document.createElement('div');\n",
+       "    toolbar.classList = 'btn-toolbar';\n",
+       "    this.root.appendChild(toolbar);\n",
+       "\n",
+       "    function on_click_closure(name) {\n",
+       "        return function (_event) {\n",
+       "            return fig.toolbar_button_onclick(name);\n",
+       "        };\n",
+       "    }\n",
+       "\n",
+       "    function on_mouseover_closure(tooltip) {\n",
+       "        return function (event) {\n",
+       "            if (!event.currentTarget.disabled) {\n",
+       "                return fig.toolbar_button_onmouseover(tooltip);\n",
+       "            }\n",
+       "        };\n",
+       "    }\n",
+       "\n",
+       "    fig.buttons = {};\n",
+       "    var buttonGroup = document.createElement('div');\n",
+       "    buttonGroup.classList = 'btn-group';\n",
+       "    var button;\n",
+       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
+       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
+       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
+       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
+       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
+       "\n",
+       "        if (!name) {\n",
+       "            /* Instead of a spacer, we start a new button group. */\n",
+       "            if (buttonGroup.hasChildNodes()) {\n",
+       "                toolbar.appendChild(buttonGroup);\n",
+       "            }\n",
+       "            buttonGroup = document.createElement('div');\n",
+       "            buttonGroup.classList = 'btn-group';\n",
+       "            continue;\n",
+       "        }\n",
+       "\n",
+       "        button = fig.buttons[name] = document.createElement('button');\n",
+       "        button.classList = 'btn btn-default';\n",
+       "        button.href = '#';\n",
+       "        button.title = name;\n",
+       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
+       "        button.addEventListener('click', on_click_closure(method_name));\n",
+       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
+       "        buttonGroup.appendChild(button);\n",
+       "    }\n",
+       "\n",
+       "    if (buttonGroup.hasChildNodes()) {\n",
+       "        toolbar.appendChild(buttonGroup);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = document.createElement('span');\n",
+       "    status_bar.classList = 'mpl-message pull-right';\n",
+       "    toolbar.appendChild(status_bar);\n",
+       "    this.message = status_bar;\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = document.createElement('div');\n",
+       "    buttongrp.classList = 'btn-group inline pull-right';\n",
+       "    button = document.createElement('button');\n",
+       "    button.classList = 'btn btn-mini btn-primary';\n",
+       "    button.href = '#';\n",
+       "    button.title = 'Stop Interaction';\n",
+       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
+       "    button.addEventListener('click', function (_evt) {\n",
+       "        fig.handle_close(fig, {});\n",
+       "    });\n",
+       "    button.addEventListener(\n",
+       "        'mouseover',\n",
+       "        on_mouseover_closure('Stop Interaction')\n",
+       "    );\n",
+       "    buttongrp.appendChild(button);\n",
+       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
+       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
+       "    var fig = event.data.fig;\n",
+       "    if (event.target !== this) {\n",
+       "        // Ignore bubbled events from children.\n",
+       "        return;\n",
+       "    }\n",
+       "    fig.close_ws(fig, {});\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function (el) {\n",
+       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.setAttribute('tabindex', 0);\n",
+       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
+       "    // off when our div gets focus\n",
+       "\n",
+       "    // location in version 3\n",
+       "    if (IPython.notebook.keyboard_manager) {\n",
+       "        IPython.notebook.keyboard_manager.register_events(el);\n",
+       "    } else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
+       "    var manager = IPython.notebook.keyboard_manager;\n",
+       "    if (!manager) {\n",
+       "        manager = IPython.keyboard_manager;\n",
+       "    }\n",
+       "\n",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which === 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        // select the cell after this one\n",
+       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
+       "        IPython.notebook.select(index + 1);\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "};\n",
+       "\n",
+       "mpl.find_output_cell = function (html_output) {\n",
+       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
+       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
+       "    // IPython event is triggered only after the cells have been serialised, which for\n",
+       "    // our purposes (turning an active figure into a static one), is too late.\n",
+       "    var cells = IPython.notebook.get_cells();\n",
+       "    var ncells = cells.length;\n",
+       "    for (var i = 0; i < ncells; i++) {\n",
+       "        var cell = cells[i];\n",
+       "        if (cell.cell_type === 'code') {\n",
+       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
+       "                var data = cell.output_area.outputs[j];\n",
+       "                if (data.data) {\n",
+       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
+       "                    data = data.data;\n",
+       "                }\n",
+       "                if (data['text/html'] === html_output) {\n",
+       "                    return [cell, data, j];\n",
+       "                }\n",
+       "            }\n",
+       "        }\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "// Register the function which deals with the matplotlib target/channel.\n",
+       "// The kernel may be null if the page has been refreshed.\n",
+       "if (IPython.notebook.kernel !== null) {\n",
+       "    IPython.notebook.kernel.comm_manager.register_target(\n",
+       "        'matplotlib',\n",
+       "        mpl.mpl_figure_comm\n",
+       "    );\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<img 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\" width=\"800\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found sensor offset: -3.59 g / -35.21 m/s^2\n",
+      "Found sensor scale: -0.014\n",
+      "\n",
+      "Centrifugal acceleration at 1.58 Hz:\n",
+      "         Theory: 0.55 g / 5.42 m/s^2\n",
+      "    Measurement: 0.51 g / 5.028966965088801 m/s^2\n",
+      "     Rel. Error: 7.78 %\n",
+      "     Abs. Error: 0.04 g / 0.39 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 2.11 Hz:\n",
+      "         Theory: 0.99 g / 9.67 m/s^2\n",
+      "    Measurement: 0.93 g / 9.162411313131324 m/s^2\n",
+      "     Rel. Error: 5.51 %\n",
+      "     Abs. Error: 0.05 g / 0.50 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 2.85 Hz:\n",
+      "         Theory: 1.80 g / 17.64 m/s^2\n",
+      "    Measurement: 1.75 g / 17.17632651666313 m/s^2\n",
+      "     Rel. Error: 2.68 %\n",
+      "     Abs. Error: 0.05 g / 0.46 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 3.30 Hz:\n",
+      "         Theory: 2.41 g / 23.65 m/s^2\n",
+      "    Measurement: 2.38 g / 23.327857994031824 m/s^2\n",
+      "     Rel. Error: 1.36 %\n",
+      "     Abs. Error: 0.03 g / 0.32 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 4.58 Hz:\n",
+      "         Theory: 4.64 g / 45.55 m/s^2\n",
+      "    Measurement: 4.61 g / 45.215765910987294 m/s^2\n",
+      "     Rel. Error: 0.73 %\n",
+      "     Abs. Error: 0.03 g / 0.33 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 5.03 Hz:\n",
+      "         Theory: 5.60 g / 54.94 m/s^2\n",
+      "    Measurement: 5.60 g / 54.879353326521255 m/s^2\n",
+      "     Rel. Error: 0.10 %\n",
+      "     Abs. Error: 0.01 g / 0.06 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 5.64 Hz:\n",
+      "         Theory: 7.04 g / 69.07 m/s^2\n",
+      "    Measurement: 7.07 g / 69.32805905894263 m/s^2\n",
+      "     Rel. Error: -0.37 %\n",
+      "     Abs. Error: -0.03 g / -0.26 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 6.27 Hz:\n",
+      "         Theory: 8.70 g / 85.36 m/s^2\n",
+      "    Measurement: 8.73 g / 85.58819751832274 m/s^2\n",
+      "     Rel. Error: -0.27 %\n",
+      "     Abs. Error: -0.02 g / -0.23 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 6.92 Hz:\n",
+      "         Theory: 10.60 g / 103.98 m/s^2\n",
+      "    Measurement: 10.61 g / 104.02675841921068 m/s^2\n",
+      "     Rel. Error: -0.05 %\n",
+      "     Abs. Error: -0.01 g / -0.05 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 7.52 Hz:\n",
+      "         Theory: 12.52 g / 122.79 m/s^2\n",
+      "    Measurement: 12.55 g / 123.06283558349547 m/s^2\n",
+      "     Rel. Error: -0.22 %\n",
+      "     Abs. Error: -0.03 g / -0.27 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 8.11 Hz:\n",
+      "         Theory: 14.56 g / 142.81 m/s^2\n",
+      "    Measurement: 14.60 g / 143.1378855707173 m/s^2\n",
+      "     Rel. Error: -0.23 %\n",
+      "     Abs. Error: -0.03 g / -0.33 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 8.83 Hz:\n",
+      "         Theory: 17.26 g / 169.29 m/s^2\n",
+      "    Measurement: 17.29 g / 169.5411921794013 m/s^2\n",
+      "     Rel. Error: -0.15 %\n",
+      "     Abs. Error: -0.03 g / -0.25 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 9.34 Hz:\n",
+      "         Theory: 19.32 g / 189.42 m/s^2\n",
+      "    Measurement: 19.33 g / 189.55282064313795 m/s^2\n",
+      "     Rel. Error: -0.07 %\n",
+      "     Abs. Error: -0.01 g / -0.14 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 10.08 Hz:\n",
+      "         Theory: 22.50 g / 220.62 m/s^2\n",
+      "    Measurement: 22.64 g / 222.01323904535036 m/s^2\n",
+      "     Rel. Error: -0.63 %\n",
+      "     Abs. Error: -0.14 g / -1.39 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 10.92 Hz:\n",
+      "         Theory: 26.40 g / 258.92 m/s^2\n",
+      "    Measurement: 26.44 g / 259.29404953313013 m/s^2\n",
+      "     Rel. Error: -0.14 %\n",
+      "     Abs. Error: -0.04 g / -0.37 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 11.92 Hz:\n",
+      "         Theory: 31.46 g / 308.51 m/s^2\n",
+      "    Measurement: 31.43 g / 308.2330187199834 m/s^2\n",
+      "     Rel. Error: 0.09 %\n",
+      "     Abs. Error: 0.03 g / 0.28 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 13.24 Hz:\n",
+      "         Theory: 38.81 g / 380.63 m/s^2\n",
+      "    Measurement: 38.83 g / 380.7555308252864 m/s^2\n",
+      "     Rel. Error: -0.03 %\n",
+      "     Abs. Error: -0.01 g / -0.13 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 14.10 Hz:\n",
+      "         Theory: 44.02 g / 431.68 m/s^2\n",
+      "    Measurement: 44.00 g / 431.4606825509938 m/s^2\n",
+      "     Rel. Error: 0.05 %\n",
+      "     Abs. Error: 0.02 g / 0.22 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 15.18 Hz:\n",
+      "         Theory: 51.02 g / 500.34 m/s^2\n",
+      "    Measurement: 50.93 g / 499.4553254402874 m/s^2\n",
+      "     Rel. Error: 0.18 %\n",
+      "     Abs. Error: 0.09 g / 0.89 m/s^2\n",
+      "\n",
+      "Centrifugal acceleration at 16.39 Hz:\n",
+      "         Theory: 59.48 g / 583.28 m/s^2\n",
+      "    Measurement: 59.48 g / 583.3128315154445 m/s^2\n",
+      "     Rel. Error: -0.00 %\n",
+      "     Abs. Error: -0.00 g / -0.03 m/s^2\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "t, y, _1, _2 = load_run(50, plot=False)\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(8, 5))\n",
+    "\n",
+    "# Run 50\n",
+    "le_data = [\n",
+    "    1.58, 2.11, 2.85, 3.30, 4.58, 5.03, 5.64, 6.27, 6.92, 7.52, 8.11, 8.83, 9.34, 10.08, 10.92, 11.92,\n",
+    "    13.24, 14.10, 15.18, 16.39\n",
+    "]\n",
+    "le_data = [ (i*90 + 45, i*90 + 45 + 40, f) for i, f in enumerate(le_data) ]\n",
+    "\n",
+    "avg_include = [True] * len(le_data)\n",
+    "\n",
+    "acc_theory = []\n",
+    "acc_meas = []\n",
+    "\n",
+    "#for ts_m, ts_s, f_actual in le_data:\n",
+    "for ts_start, ts_end, f_actual in le_data:\n",
+    "    omegan = 2*np.pi*f_actual # angular velocity\n",
+    "    acc = omegan**2 * r_mems # m/s^2\n",
+    "    acc_theory.append(acc / g)\n",
+    "    \n",
+    "    #ax.axvspan(ts_abs-ivl_w/2, ts_abs+ivl_w/2, zorder=1, color='red', alpha=0.1)\n",
+    "    \n",
+    "    idx = (ts_start/60 < t) & (t < ts_end/60)\n",
+    "    ivl_avg = (y / mems_lsb_per_g)[idx].mean()\n",
+    "    acc_meas.append(ivl_avg)\n",
+    "\n",
+    "# Calculate offset correction. The offset is due to manufacturing imperfections inherent to the device.\n",
+    "# Note that while in the \"0Hz\" still part of the line at the beginning and end of the trace we see a\n",
+    "# fraction of earth's gravity due to the sensor's position inside the device and the way the device lies\n",
+    "# on the workbench, this offset cancels out once the device is rotating.\n",
+    "#\n",
+    "# Our sensor is specified to have up to +/- 1.0 g offset. This is due to its large +/- 120 g range\n",
+    "# and we're well within that.\n",
+    "#\n",
+    "# The sensor's nonlinearity error is specified as +/- 2 %FS and we're well within that as well.\n",
+    "\n",
+    "def fun(x, *args):\n",
+    "    return np.sqrt(np.mean([ ((meas - x[0])*x[1] - theory)**2\n",
+    "                            for theory, meas, inc in zip(acc_theory, acc_meas, avg_include)\n",
+    "                            if inc ]))\n",
+    "res = scipy.optimize.minimize(fun, (1, 1))\n",
+    "sensor_offx = res.x[0]\n",
+    "sensor_scale = np.abs(res.x[1])\n",
+    "\n",
+    "print(f'Found sensor offset: {sensor_offx:.2f} g / {sensor_offx*g:.2f} m/s^2')\n",
+    "print(f'Found sensor scale: {sensor_scale-1.0:+.3f}')\n",
+    "print()    \n",
+    "\n",
+    "ax.set_xlabel(r't [mm:ss]')\n",
+    "ax.set_ylabel(r'$a\\; [g]$')\n",
+    "secax_y = ax.secondary_yaxis(\n",
+    "    'right', functions=(g_to_ms, ms_to_g))\n",
+    "secax_y.set_ylabel(r'$a\\; [ms^{-1}]$')\n",
+    "\n",
+    "formatter = ticker.FuncFormatter(lambda tick, _pos: f'{int(tick):02d}:{tick*60%60:02.0f}')\n",
+    "ax.xaxis.set_major_formatter(formatter)\n",
+    "\n",
+    "yp = (y / mems_lsb_per_g - sensor_offx) * sensor_scale\n",
+    "\n",
+    "sos = scipy.signal.butter(8, 0.5, 'lp', fs=10, output='sos')\n",
+    "filtered = scipy.signal.sosfiltfilt(sos, yp)\n",
+    "\n",
+    "label = 'Raw acceleration', f'After Low Pass'\n",
+    "for t_start, t_end, _f in le_data:\n",
+    "    idx = (t_start/60 < t) & (t < t_end/60)\n",
+    "    new_t = t[idx]\n",
+    "    new_t -= min(new_t)\n",
+    "    ax.plot(new_t, yp[idx], color='darkblue', alpha=0.2, label=label[0])\n",
+    "    ax.plot(new_t, filtered[idx], color='darkblue', label=label[1])\n",
+    "    label = (None, None)\n",
+    "\n",
+    "ax.axhline(0, linewidth=1, color='black', alpha=0.5, zorder=1)\n",
+    "\n",
+    "label = {'label': 'Calculated from rotor speed'}\n",
+    "for theory, meas, (_1, _2, f_actual) in zip(acc_theory, acc_meas, le_data):\n",
+    "    ax.axhline(theory, color='orange', alpha=1, zorder=1, linewidth=1, **label)\n",
+    "    label = {}\n",
+    "    meas = (meas - sensor_offx) * sensor_scale\n",
+    "    #ax.axhline(meas, color='red', alpha=0.2, zorder=1)\n",
+    "        \n",
+    "    print(f'Centrifugal acceleration at {f_actual:.2f} Hz:')\n",
+    "    print(f'         Theory: {theory:.2f} g / {theory*g:.2f} m/s^2')\n",
+    "    print(f'    Measurement: {meas:.2f} g / {meas*g} m/s^2')\n",
+    "    print(f'     Rel. Error: {(theory/meas - 1.0) * 100:.2f} %')\n",
+    "    print(f'     Abs. Error: {theory-meas:.2f} g / {(theory-meas)*g:.2f} m/s^2')\n",
+    "    print()\n",
+    "\n",
+    "ax.legend(loc='upper left')\n",
+    "#ax.set_yscale('log')\n",
+    "#ax.set_ylim([0.3, 30])\n",
+    "fig.tight_layout()\n",
+    "fig.savefig('fig-acc-trace-stacked-run50.pdf')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
    "metadata": {
     "scrolled": false
    },
@@ -4362,7 +5673,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 9,
    "metadata": {
     "scrolled": false
    },
@@ -5366,7 +6677,7 @@
        "4.3273542600896855"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -5412,7 +6723,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "metadata": {
     "scrolled": false
    },
@@ -6385,7 +7696,7 @@
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\" 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\" width=\"640\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -6410,7 +7721,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -7386,10 +8697,10 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f2d6fc88040>]"
+       "[<matplotlib.lines.Line2D at 0x7f715b8f42b0>]"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -7403,7 +8714,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 12,
    "metadata": {
     "scrolled": false
    },
@@ -8604,7 +9915,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -10616,7 +11927,7 @@
     "\n",
     "#ax = ax.twinx()\n",
     "ax.grid()\n",
-    "ax.plot(freqs, [ delta_rel*100 for _delta_abs, delta_rel in deltas[:-1] ])#, color='orange')\n",
+    "ax.plot(freqs, [ delta_rel*100 for _delta_abs, delta_rel in deltas[:-2] ])#, color='orange')\n",
     "ax.set_ylabel('$\\Delta_{rel}\\;[\\%]$')\n",
     "\n",
     "ax.set_xlabel('$f\\;[Hz]$')"
@@ -11590,7 +12901,7 @@
     {
      "data": {
       "text/html": [
-       "<img 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\" 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\" width=\"640\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -11608,42 +12919,73 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'largest_peak_f' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-20-312a4bb81e5c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mr_mems\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m55e-3\u001b[0m \u001b[0;31m# radius of our sensor from the axis of rotation in m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlargest_peak_f\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0momega\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mf\u001b[0m \u001b[0;31m# angular velocity\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mcentrifugal_acceleration\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0momega\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0;36m2\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mr_mems\u001b[0m \u001b[0;31m# m/s^2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'largest_peak_f' is not defined"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Centrifugal acceleration at 7.50 Hz: 122.14 m/s^2 / 12.45 g\n",
+      "Centrifugal acceleration at 15.00 Hz: 488.55 m/s^2 / 49.82 g\n"
      ]
     }
    ],
    "source": [
     "r_mems = 55e-3 # radius of our sensor from the axis of rotation in m\n",
-    "f = largest_peak_f\n",
+    "f = 7.5\n",
     "omega = 2*np.pi*f # angular velocity\n",
     "centrifugal_acceleration = omega**2 * r_mems # m/s^2\n",
     "\n",
-    "f2 = 1/interval\n",
+    "f2 = 15\n",
     "omega2 = 2*np.pi*f2 # angular velocity\n",
     "centrifugal_acceleration2 = omega2**2 * r_mems # m/s^2\n",
     "\n",
-    "print(f'Centrifugal acceleration at {largest_peak_f:.2f} Hz: {centrifugal_acceleration:.2f} m/s^2 / {centrifugal_acceleration/g:.2f} g')\n",
+    "print(f'Centrifugal acceleration at {f:.2f} Hz: {centrifugal_acceleration:.2f} m/s^2 / {centrifugal_acceleration/g:.2f} g')\n",
     "print(f'Centrifugal acceleration at {f2:.2f} Hz: {centrifugal_acceleration2:.2f} m/s^2 / {centrifugal_acceleration2/g:.2f} g')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {
     "scrolled": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Centrifugal acceleration at 0.10 Hz: 0.02 m/s^2 / 0.00 g\n",
+      "Centrifugal acceleration at 0.20 Hz: 0.09 m/s^2 / 0.01 g\n",
+      "Centrifugal acceleration at 0.50 Hz: 0.54 m/s^2 / 0.06 g\n",
+      "Centrifugal acceleration at 1.00 Hz: 2.17 m/s^2 / 0.22 g\n",
+      "Centrifugal acceleration at 1.50 Hz: 4.89 m/s^2 / 0.50 g\n",
+      "Centrifugal acceleration at 2.00 Hz: 8.69 m/s^2 / 0.89 g\n",
+      "Centrifugal acceleration at 2.50 Hz: 13.57 m/s^2 / 1.38 g\n",
+      "Centrifugal acceleration at 3.00 Hz: 19.54 m/s^2 / 1.99 g\n",
+      "Centrifugal acceleration at 3.50 Hz: 26.60 m/s^2 / 2.71 g\n",
+      "Centrifugal acceleration at 4.00 Hz: 34.74 m/s^2 / 3.54 g\n",
+      "Centrifugal acceleration at 4.50 Hz: 43.97 m/s^2 / 4.48 g\n",
+      "Centrifugal acceleration at 5.00 Hz: 54.28 m/s^2 / 5.54 g\n",
+      "Centrifugal acceleration at 6.00 Hz: 78.17 m/s^2 / 7.97 g\n",
+      "Centrifugal acceleration at 7.00 Hz: 106.39 m/s^2 / 10.85 g\n",
+      "Centrifugal acceleration at 8.00 Hz: 138.96 m/s^2 / 14.17 g\n",
+      "Centrifugal acceleration at 9.00 Hz: 175.88 m/s^2 / 17.93 g\n",
+      "Centrifugal acceleration at 10.00 Hz: 217.13 m/s^2 / 22.14 g\n",
+      "Centrifugal acceleration at 11.00 Hz: 262.73 m/s^2 / 26.79 g\n",
+      "Centrifugal acceleration at 12.00 Hz: 312.67 m/s^2 / 31.88 g\n",
+      "Centrifugal acceleration at 13.00 Hz: 366.95 m/s^2 / 37.42 g\n",
+      "Centrifugal acceleration at 14.00 Hz: 425.58 m/s^2 / 43.40 g\n",
+      "Centrifugal acceleration at 15.00 Hz: 488.55 m/s^2 / 49.82 g\n",
+      "Centrifugal acceleration at 16.00 Hz: 555.86 m/s^2 / 56.68 g\n",
+      "Centrifugal acceleration at 17.00 Hz: 627.51 m/s^2 / 63.99 g\n",
+      "Centrifugal acceleration at 18.00 Hz: 703.51 m/s^2 / 71.74 g\n",
+      "Centrifugal acceleration at 19.00 Hz: 783.84 m/s^2 / 79.93 g\n",
+      "Centrifugal acceleration at 20.00 Hz: 868.53 m/s^2 / 88.57 g\n"
+     ]
+    }
+   ],
    "source": [
     "for fn in [0.1, 0.2, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0,\n",
     "           11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0]:\n",
@@ -11655,7 +12997,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -12619,7 +13961,7 @@
     {
      "data": {
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\" 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+       "<img 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\" width=\"640\">"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -12630,13 +13972,13 @@
     },
     {
      "ename": "NameError",
-     "evalue": "name 'centrifugal_acceleration' is not defined",
+     "evalue": "name 'interval' is not defined",
      "output_type": "error",
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-21-492c806a914e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxvspan\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mivl_start\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m60\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0msampling_rate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mivl_end\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m60\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0msampling_rate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'orange'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxhline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcentrifugal_acceleration\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'orange'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxhline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcentrifugal_acceleration2\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'orange'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0minterval\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'centrifugal_acceleration' is not defined"
+      "\u001b[0;32m<ipython-input-28-492c806a914e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxhline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcentrifugal_acceleration\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'orange'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxhline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcentrifugal_acceleration2\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'orange'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0minterval\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0mts\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreassembled_values\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0msampling_rate\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m60\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mts\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreassembled_values\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mmems_lsb_per_g\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'interval' is not defined"
      ]
     }
    ],
diff --git a/prototype/sensor-analysis/fig-acc-theory-meas-run50.pdf b/prototype/sensor-analysis/fig-acc-theory-meas-run50.pdf
new file mode 100644
index 0000000..8f86fb9
--- /dev/null
+++ b/prototype/sensor-analysis/fig-acc-theory-meas-run50.pdf
diff --git a/prototype/sensor-analysis/fig-acc-theory-meas.pdf b/prototype/sensor-analysis/fig-acc-theory-meas.pdf
new file mode 100644
index 0000000..87be879
--- /dev/null
+++ b/prototype/sensor-analysis/fig-acc-theory-meas.pdf
diff --git a/prototype/sensor-analysis/fig-acc-trace-stacked-run50.pdf b/prototype/sensor-analysis/fig-acc-trace-stacked-run50.pdf
new file mode 100644
index 0000000..3c3193c
--- /dev/null
+++ b/prototype/sensor-analysis/fig-acc-trace-stacked-run50.pdf
diff --git a/prototype/sensor-analysis/fig-acc-trace-steps-run50.pdf b/prototype/sensor-analysis/fig-acc-trace-steps-run50.pdf
new file mode 100644
index 0000000..8d5c65f
--- /dev/null
+++ b/prototype/sensor-analysis/fig-acc-trace-steps-run50.pdf
diff --git a/prototype/sensor-analysis/fig-acc-trace-steps-run52.pdf b/prototype/sensor-analysis/fig-acc-trace-steps-run52.pdf
new file mode 100644
index 0000000..5966cdd
--- /dev/null
+++ b/prototype/sensor-analysis/fig-acc-trace-steps-run52.pdf
diff --git a/prototype/sensor-analysis/fig-comms-delays.pdf b/prototype/sensor-analysis/fig-comms-delays.pdf
new file mode 100644
index 0000000..2b3a686
--- /dev/null
+++ b/prototype/sensor-analysis/fig-comms-delays.pdf
diff --git a/prototype/sensor-analysis/test_run.sqlite3 b/prototype/sensor-analysis/test_run.sqlite3
index e570594..92cbc3b 100755
--- a/prototype/sensor-analysis/test_run.sqlite3
+++ b/prototype/sensor-analysis/test_run.sqlite3
author	jaseg <git-bigdata-wsl-arch@jaseg.de>	2021-03-25 17:25:03 +0100
committer	jaseg <git-bigdata-wsl-arch@jaseg.de>	2021-03-25 17:25:03 +0100
commit	bf9abcfdfdeb69d8b70e64ee6aafe18e06dab89a (patch)
tree	608ca7741508f0b7bc7d76b25eba2a207f02e37b /prototype
parent	2bb9aecfc62cb597155f50b6bf22131ab33cb301 (diff)
download	ihsm-bf9abcfdfdeb69d8b70e64ee6aafe18e06dab89a.tar.gz ihsm-bf9abcfdfdeb69d8b70e64ee6aafe18e06dab89a.tar.bz2 ihsm-bf9abcfdfdeb69d8b70e64ee6aafe18e06dab89a.zip