diff --git a/examples/rmvs_swifter_comparison/8pl_16tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb b/examples/rmvs_swifter_comparison/8pl_16tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb
index fece80536..a016b8e14 100644
--- a/examples/rmvs_swifter_comparison/8pl_16tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb
+++ b/examples/rmvs_swifter_comparison/8pl_16tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb
@@ -37,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -61,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -70,7 +70,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -79,7 +79,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -89,7 +89,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -99,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -125,7 +125,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -151,7 +151,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -163,7 +163,7 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -186,7 +186,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -198,7 +198,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -221,7 +221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -230,7 +230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -602,27 +602,27 @@
        "    Gmass    (id) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
        "    radius   (id) float64 nan nan nan nan nan nan ... nan nan nan nan nan nan\n",
        "    rmag     (id) float64 0.0 0.0 0.0 0.0 2.033e-20 ... 0.0 0.0 0.0 0.0 0.0\n",
-       "    vmag     (id) float64 0.0 0.0 0.0 0.0 3.176e-22 ... 0.0 0.0 3.476e-18 0.0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-617c718e-ca7a-4cc3-8adc-ff7519224470' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-617c718e-ca7a-4cc3-8adc-ff7519224470' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>id</span>: 16</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8b5b0d1b-b2e3-4bcd-a4df-72b0c7dc029c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8b5b0d1b-b2e3-4bcd-a4df-72b0c7dc029c' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>id</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>9 10 11 12 13 14 ... 20 21 22 23 24</div><input id='attrs-943e217b-19bc-4c8f-a8b7-625d7ab6fb75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-943e217b-19bc-4c8f-a8b7-625d7ab6fb75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce76b17d-8bee-46e9-b38e-4b48fe96f29b' class='xr-var-data-in' type='checkbox'><label for='data-ce76b17d-8bee-46e9-b38e-4b48fe96f29b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>-2147483647</dd></dl></div><div class='xr-var-data'><pre>array([ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-be1301da-8b3f-4db8-8c5a-a71c1502c473' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be1301da-8b3f-4db8-8c5a-a71c1502c473' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09ace323-947b-4d08-878e-05661e7d92de' class='xr-var-data-in' type='checkbox'><label for='data-09ace323-947b-4d08-878e-05661e7d92de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array(50.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f8e2b79e-7d9b-47af-aa91-19a8fee748f3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f8e2b79e-7d9b-47af-aa91-19a8fee748f3' class='xr-section-summary' >Data variables: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>xhx</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-29f7a690-4c94-4e3a-8d99-c64f084606a7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29f7a690-4c94-4e3a-8d99-c64f084606a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44083907-34ce-4139-93a3-19f9ae2cb825' class='xr-var-data-in' type='checkbox'><label for='data-44083907-34ce-4139-93a3-19f9ae2cb825' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xhy</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-634c1410-e76c-48b0-a96f-49b950d56dc3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-634c1410-e76c-48b0-a96f-49b950d56dc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e4240d36-bd29-4641-9d40-f96a36290f6f' class='xr-var-data-in' type='checkbox'><label for='data-e4240d36-bd29-4641-9d40-f96a36290f6f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xhz</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-d37e71b3-5e32-4a35-802d-0ff450cee802' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d37e71b3-5e32-4a35-802d-0ff450cee802' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-caa50bc4-b37a-4b1a-b793-b9a52a771cbe' class='xr-var-data-in' type='checkbox'><label for='data-caa50bc4-b37a-4b1a-b793-b9a52a771cbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
+       "    vmag     (id) float64 0.0 0.0 0.0 0.0 3.176e-22 ... 0.0 0.0 3.476e-18 0.0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0226d1e2-f6ea-474e-8bfd-39f01778d8f9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0226d1e2-f6ea-474e-8bfd-39f01778d8f9' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>id</span>: 16</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6803cf29-1e9b-4546-ab03-fcf03f75cb01' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6803cf29-1e9b-4546-ab03-fcf03f75cb01' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>id</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>9 10 11 12 13 14 ... 20 21 22 23 24</div><input id='attrs-1c943753-b8fb-41ee-8a50-52a25fa34661' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c943753-b8fb-41ee-8a50-52a25fa34661' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb453098-ca8e-4441-a5b9-8ff417d11d95' class='xr-var-data-in' type='checkbox'><label for='data-eb453098-ca8e-4441-a5b9-8ff417d11d95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>-2147483647</dd></dl></div><div class='xr-var-data'><pre>array([ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>50.0</div><input id='attrs-a7028726-0efa-49bf-a0bb-19b07b18461b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7028726-0efa-49bf-a0bb-19b07b18461b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd23dda2-18e7-45f3-87c6-efc986017d35' class='xr-var-data-in' type='checkbox'><label for='data-fd23dda2-18e7-45f3-87c6-efc986017d35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>_FillValue :</span></dt><dd>nan</dd></dl></div><div class='xr-var-data'><pre>array(50.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc5dbc16-16ea-4ca2-b56e-2db3f488cbf7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-cc5dbc16-16ea-4ca2-b56e-2db3f488cbf7' class='xr-section-summary' >Data variables: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>xhx</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-08db6817-c778-45db-814c-074071481651' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-08db6817-c778-45db-814c-074071481651' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70f22061-5879-426f-bbb2-b7fecc93e499' class='xr-var-data-in' type='checkbox'><label for='data-70f22061-5879-426f-bbb2-b7fecc93e499' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xhy</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e593e813-8042-434e-9e0a-9159957cc393' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e593e813-8042-434e-9e0a-9159957cc393' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4251df0b-af0c-42b2-8ee7-bb397d853d50' class='xr-var-data-in' type='checkbox'><label for='data-4251df0b-af0c-42b2-8ee7-bb397d853d50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>xhz</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-86eb60a8-cefb-409c-8c6f-637f5142f840' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-86eb60a8-cefb-409c-8c6f-637f5142f840' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b01b17d6-e62a-4521-a0a8-80881622630e' class='xr-var-data-in' type='checkbox'><label for='data-b01b17d6-e62a-4521-a0a8-80881622630e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
        "       -2.03287907e-20, -6.77626358e-21,  0.00000000e+00,  0.00000000e+00,\n",
        "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vhx</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.0 3.469e-18 0.0</div><input id='attrs-a2b34676-6679-4b50-a3f3-a55aa6d5334b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a2b34676-6679-4b50-a3f3-a55aa6d5334b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97b29152-ebbb-4592-9d0b-862790f23e33' class='xr-var-data-in' type='checkbox'><label for='data-97b29152-ebbb-4592-9d0b-862790f23e33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
+       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vhx</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.0 3.469e-18 0.0</div><input id='attrs-0023f9f2-8e74-4bc1-a96e-4dc4ebe0c296' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0023f9f2-8e74-4bc1-a96e-4dc4ebe0c296' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbed2ce0-3ab4-4225-8603-1f30d21e46dc' class='xr-var-data-in' type='checkbox'><label for='data-dbed2ce0-3ab4-4225-8603-1f30d21e46dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "       0.00000000e+00, 6.93889390e-18, 0.00000000e+00, 0.00000000e+00,\n",
-       "       0.00000000e+00, 0.00000000e+00, 3.46944695e-18, 0.00000000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vhy</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.0 2.168e-19 0.0</div><input id='attrs-d21ec23e-acd6-42d9-9aae-625b87e31240' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d21ec23e-acd6-42d9-9aae-625b87e31240' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-36218a64-f323-4708-91bf-55a95b60c18c' class='xr-var-data-in' type='checkbox'><label for='data-36218a64-f323-4708-91bf-55a95b60c18c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
+       "       0.00000000e+00, 0.00000000e+00, 3.46944695e-18, 0.00000000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vhy</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.0 2.168e-19 0.0</div><input id='attrs-eee70395-ccea-4d75-bb34-ad9e99f37fcc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eee70395-ccea-4d75-bb34-ad9e99f37fcc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4b32f1d-2b30-4309-9f3e-9dac0ed6f4e6' class='xr-var-data-in' type='checkbox'><label for='data-b4b32f1d-2b30-4309-9f3e-9dac0ed6f4e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "       0.00000000e+00, 0.00000000e+00, 2.16840434e-19, 0.00000000e+00,\n",
-       "       0.00000000e+00, 0.00000000e+00, 2.16840434e-19, 0.00000000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vhz</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-a08fdee5-a380-422d-9182-6cac3bb0b48c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a08fdee5-a380-422d-9182-6cac3bb0b48c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0eb1004-28c1-4dc7-9a98-e48cf72b0930' class='xr-var-data-in' type='checkbox'><label for='data-a0eb1004-28c1-4dc7-9a98-e48cf72b0930' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
+       "       0.00000000e+00, 0.00000000e+00, 2.16840434e-19, 0.00000000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vhz</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-6aa7725f-49dc-4608-95d7-dda81d016e70' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6aa7725f-49dc-4608-95d7-dda81d016e70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4610646-87cd-414e-9bc4-235a1031d861' class='xr-var-data-in' type='checkbox'><label for='data-f4610646-87cd-414e-9bc4-235a1031d861' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
        "       -3.17637355e-22,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
        "        1.35525272e-20,  0.00000000e+00,  2.71050543e-20,  0.00000000e+00,\n",
-       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Gmass</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-fa2ca345-3e6e-4630-9cb0-3f90090498e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fa2ca345-3e6e-4630-9cb0-3f90090498e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53ed3c86-9614-441b-b6b3-52139c8c8bcf' class='xr-var-data-in' type='checkbox'><label for='data-53ed3c86-9614-441b-b6b3-52139c8c8bcf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
-       "       nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radius</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ea864370-50e9-4442-9dfa-ea2967b6a4be' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ea864370-50e9-4442-9dfa-ea2967b6a4be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52986d97-8122-40f1-8466-fadd2d461349' class='xr-var-data-in' type='checkbox'><label for='data-52986d97-8122-40f1-8466-fadd2d461349' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
-       "       nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rmag</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-dbfbad9b-6e2d-4d02-a5dc-1974465b1bf4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dbfbad9b-6e2d-4d02-a5dc-1974465b1bf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-484ade33-3674-45d5-930e-8016e26876ef' class='xr-var-data-in' type='checkbox'><label for='data-484ade33-3674-45d5-930e-8016e26876ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
+       "        0.00000000e+00,  0.00000000e+00,  0.00000000e+00,  0.00000000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Gmass</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-377bf964-f20e-438a-9143-5ea9eb1193d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-377bf964-f20e-438a-9143-5ea9eb1193d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-259119e0-5a35-4d00-a965-faaf31c813d8' class='xr-var-data-in' type='checkbox'><label for='data-259119e0-5a35-4d00-a965-faaf31c813d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>radius</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-98d3efab-c66b-411c-8495-68be9fa23e27' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-98d3efab-c66b-411c-8495-68be9fa23e27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-099e258b-4677-43d6-a5a4-1ada794366df' class='xr-var-data-in' type='checkbox'><label for='data-099e258b-4677-43d6-a5a4-1ada794366df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
+       "       nan, nan, nan])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rmag</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-12158870-1fd4-473b-9bf0-360e648ef80a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12158870-1fd4-473b-9bf0-360e648ef80a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bd4573b-7205-4eff-8662-5071e5817e32' class='xr-var-data-in' type='checkbox'><label for='data-2bd4573b-7205-4eff-8662-5071e5817e32' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "       2.03287907e-20, 6.77626358e-21, 0.00000000e+00, 0.00000000e+00,\n",
        "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
-       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vmag</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.0 3.476e-18 0.0</div><input id='attrs-f3255cb3-7cc8-4540-8646-3d58273fc96f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f3255cb3-7cc8-4540-8646-3d58273fc96f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcc48d87-359e-4337-b28b-c6211d95242c' class='xr-var-data-in' type='checkbox'><label for='data-fcc48d87-359e-4337-b28b-c6211d95242c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
+       "       0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vmag</span></div><div class='xr-var-dims'>(id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 ... 0.0 3.476e-18 0.0</div><input id='attrs-47e45c9b-88fc-4886-b294-813702d8520c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47e45c9b-88fc-4886-b294-813702d8520c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e60d228f-f0ab-4d2a-8c08-716afb91e1dd' class='xr-var-data-in' type='checkbox'><label for='data-e60d228f-f0ab-4d2a-8c08-716afb91e1dd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "       3.17637355e-22, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n",
        "       1.35525272e-20, 6.93889390e-18, 2.18527934e-19, 0.00000000e+00,\n",
-       "       0.00000000e+00, 0.00000000e+00, 3.47621661e-18, 0.00000000e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eef7c0be-8b37-4e6b-989a-7b6c3d205690' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eef7c0be-8b37-4e6b-989a-7b6c3d205690' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       0.00000000e+00, 0.00000000e+00, 3.47621661e-18, 0.00000000e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b67593e1-1561-4862-a0f1-5b59eeab38e0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b67593e1-1561-4862-a0f1-5b59eeab38e0' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset>\n",
@@ -643,7 +643,7 @@
        "    vmag     (id) float64 0.0 0.0 0.0 0.0 3.176e-22 ... 0.0 0.0 3.476e-18 0.0"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/examples/symba_swifter_comparison/1pl_1pl_encounter/cb.swiftest.in b/examples/symba_swifter_comparison/1pl_1pl_encounter/cb.swiftest.in
index d0ae0ed15..84a053138 100644
Binary files a/examples/symba_swifter_comparison/1pl_1pl_encounter/cb.swiftest.in and b/examples/symba_swifter_comparison/1pl_1pl_encounter/cb.swiftest.in differ
diff --git a/examples/symba_swifter_comparison/1pl_1pl_encounter/init_cond.py b/examples/symba_swifter_comparison/1pl_1pl_encounter/init_cond.py
index 328ed30c9..c02a743d9 100755
--- a/examples/symba_swifter_comparison/1pl_1pl_encounter/init_cond.py
+++ b/examples/symba_swifter_comparison/1pl_1pl_encounter/init_cond.py
@@ -18,7 +18,7 @@
 swiftest_pl    = "pl.swiftest.in"
 swiftest_tp    = "tp.swiftest.in"
 swiftest_cb    = "cb.swiftest.in"
-swiftest_bin   = "bin.swiftest.dat"
+swiftest_bin   = "bin.swiftest.nc"
 swiftest_enc   = "enc.swiftest.dat"
 
 MU2KG = swiftest.MSun
@@ -40,8 +40,8 @@
 
 npl = 2
 ntp = 0
-plid1 = 2
-plid2 = 100
+plid1 = 1
+plid2 = 2
 
 radius1 = np.double(4.25875607065041e-05)
 mass1 = np.double(0.00012002693582795244940133) 
@@ -66,7 +66,7 @@
 plfile = open(swifter_pl, 'w')
 print(npl+1, f'! Planet input file generated using init_cond.py',file=plfile)
 
-print(1,GMSun,file=plfile)
+print(0,GMSun,file=plfile)
 print('0.0 0.0 0.0',file=plfile)
 print('0.0 0.0 0.0',file=plfile)
 
@@ -118,9 +118,21 @@
 sys.stdout = sys.__stdout__
 
 #Now make Swiftest files
+
+#Now make Swiftest files
+NAMELEN = 32
+cbname = "Sun"
+pl1name = "BigPlanet"
+pl2name = "SmallPlanet"
+
+cbname = cbname.ljust(NAMELEN)
+pl1name = pl1name.ljust(NAMELEN)
+pl2name = pl2name.ljust(NAMELEN)
 cbfile = FortranFile(swiftest_cb, 'w')
+
 Msun = np.double(1.0)
 cbfile.write_record(0)
+cbfile.write_record(cbname)
 cbfile.write_record(np.double(GMSun))
 cbfile.write_record(np.double(rmin))
 #cbfile.write_record(np.double(swiftest.J2Sun))
@@ -132,6 +144,7 @@
 plfile = FortranFile(swiftest_pl, 'w')
 plfile.write_record(npl)
 plfile.write_record(np.array([plid1, plid2], dtype=np.int32))
+plfile.write_record(np.array([pl1name, pl2name]))
 plfile.write_record(np.vstack([p_pl1[0],p_pl2[0]]))
 plfile.write_record(np.vstack([p_pl1[1],p_pl2[1]]))
 plfile.write_record(np.vstack([p_pl1[2],p_pl2[2]]))
@@ -157,9 +170,9 @@
 print(f'TP_IN          {swiftest_tp}')
 print(f'IN_TYPE        REAL8')
 print(f'ISTEP_OUT      {iout:d}')
-print(f'ISTEP_DUMP     {iout:d}')
+print(f'ISTEP_DUMP     {100*iout:d}')
 print(f'BIN_OUT        {swiftest_bin}')
-print(f'OUT_TYPE       REAL8')
+print(f'OUT_TYPE       NETCDF_DOUBLE')
 print(f'OUT_FORM       XV')
 print(f'OUT_STAT       REPLACE')
 print(f'CHK_CLOSE      yes')
diff --git a/examples/symba_swifter_comparison/1pl_1pl_encounter/param.swifter.in b/examples/symba_swifter_comparison/1pl_1pl_encounter/param.swifter.in
index a67348c0e..853815639 100644
--- a/examples/symba_swifter_comparison/1pl_1pl_encounter/param.swifter.in
+++ b/examples/symba_swifter_comparison/1pl_1pl_encounter/param.swifter.in
@@ -24,4 +24,3 @@ ENC_OUT        enc.swifter.dat
 EXTRA_FORCE    no
 BIG_DISCARD    no
 RHILL_PRESENT  yes
-ENERGY         yes
diff --git a/examples/symba_swifter_comparison/1pl_1pl_encounter/param.swiftest.in b/examples/symba_swifter_comparison/1pl_1pl_encounter/param.swiftest.in
index c69ee07f9..af14f44d6 100644
--- a/examples/symba_swifter_comparison/1pl_1pl_encounter/param.swiftest.in
+++ b/examples/symba_swifter_comparison/1pl_1pl_encounter/param.swiftest.in
@@ -7,9 +7,9 @@ PL_IN          pl.swiftest.in
 TP_IN          tp.swiftest.in
 IN_TYPE        REAL8
 ISTEP_OUT      1
-ISTEP_DUMP     1
-BIN_OUT        bin.swiftest.dat
-OUT_TYPE       REAL8
+ISTEP_DUMP     100
+BIN_OUT        bin.swiftest.nc
+OUT_TYPE       NETCDF_DOUBLE
 OUT_FORM       XV
 OUT_STAT       REPLACE
 CHK_CLOSE      yes
diff --git a/examples/symba_swifter_comparison/1pl_1pl_encounter/pl.swifter.in b/examples/symba_swifter_comparison/1pl_1pl_encounter/pl.swifter.in
index 9f0548fc1..ac774fa65 100644
--- a/examples/symba_swifter_comparison/1pl_1pl_encounter/pl.swifter.in
+++ b/examples/symba_swifter_comparison/1pl_1pl_encounter/pl.swifter.in
@@ -1,12 +1,12 @@
 3 ! Planet input file generated using init_cond.py
-1 39.476926408897625196
+0 39.476926408897625196
 0.0 0.0 0.0
 0.0 0.0 0.0
-2 0.00012002693582795244940133 0.010044724833237892
+1 0.00012002693582795244940133 0.010044724833237892
 4.25875607065041e-05
 1.0 0.0 0.0
 0.0 6.283185307179586 0.0
-100 1.2002693582795244601319e-06 0.002164070363255244
+2 1.2002693582795244601319e-06 0.002164070363255244
 9.17521181499312e-06
 1.01 0.0 0.0
 0.0 6.252003053624663 0.0
diff --git a/examples/symba_swifter_comparison/1pl_1pl_encounter/pl.swiftest.in b/examples/symba_swifter_comparison/1pl_1pl_encounter/pl.swiftest.in
index 1bda0535d..b141c0e1f 100644
Binary files a/examples/symba_swifter_comparison/1pl_1pl_encounter/pl.swiftest.in and b/examples/symba_swifter_comparison/1pl_1pl_encounter/pl.swiftest.in differ
diff --git a/examples/symba_swifter_comparison/1pl_1pl_encounter/swiftest_vs_swifter.ipynb b/examples/symba_swifter_comparison/1pl_1pl_encounter/swiftest_vs_swifter.ipynb
index 6c5bc45e4..090b756b6 100644
--- a/examples/symba_swifter_comparison/1pl_1pl_encounter/swiftest_vs_swifter.ipynb
+++ b/examples/symba_swifter_comparison/1pl_1pl_encounter/swiftest_vs_swifter.ipynb
@@ -43,8 +43,8 @@
      "output_type": "stream",
      "text": [
       "Reading Swiftest file param.swiftest.in\n",
-      "Reading in time 1.506e-01\n",
-      "Creating Dataset\n",
+      "\n",
+      "Creating Dataset from NetCDF file\n",
       "Successfully converted 221 output frames.\n",
       "Swiftest simulation data stored as xarray DataSet .ds\n"
      ]
@@ -81,8 +81,8 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x2b00764a5350>,\n",
-       " <matplotlib.lines.Line2D at 0x2b00775a2c50>]"
+       "[<matplotlib.lines.Line2D at 0x2aca5b39af10>,\n",
+       " <matplotlib.lines.Line2D at 0x2aca5b3837d0>]"
       ]
      },
      "execution_count": 6,
@@ -91,7 +91,7 @@
     },
     {
      "data": {
-      "image/png": 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jK7x2YoQxXA6sqXH+xWbWaWadO3fujPC0IiK1HVgMLtp2CyWgaNsciHpCeNTMLi49MbO/Bu7p6yAze9DMnqvws7DXPkuB/cAd1dpx9xXu3uHuHWPGjKkjXBGRaMR1S8hQJoINqmOfDwErzOwTwHHAZmBOXwe5+7m1tpvZZcAFwDyP+nY7IiIRiK0E1CpjAO7eDawFzgAmASvdfU8jJzWz84D/Bixw9z800paISFyyMV0G6p78SqBQRw/AzNYB3cDJFAZrbzGz9e5+bQPn/RYwFFhXXAxpg7tf2UB7IiKRK18FFHGNIpSJYPWUgNYA33X33cBuMzuTBi/bdPcpjRwvItIMpVtCpnktoBHAA2b2qJn9BTDK3f9HzHGJiCSuVKaJeimIfN5bYy0gd/+Ku88A/gIYD/zEzB6MPTIRkYRlYroncL4FZwLvAH4H7AIOmxsgInKkiW8toORvBgP1TQS7ysx+DDwEjAY+V1zCQUTkiFYuAUV8R7B8IBPB6hkEfjfwJXd/OuZYRESCUqrSxFICCqAH0GcCcPclzQhERCQ0ZoZZHGsBeWuUgERE0ixrFvlSEK04CCwikjqZjEW+GFw+r1tCiogELxNHCcidAD7/lQBERGqJpQSUVwlIRCR4hRKQxgBERFInYxbDWkAtMhFMRCTNshmLaS2gSJscECUAEZEaMhbDVUAqAYmIhC9jcawFpIlgIiLBy2ZimgimBCAiEraMRT8GkNNloCIi4ctkCvfwjZI7mggmIhK6OCaC5TQILCISvkwMl4HmWuWWkHEys2vNzM1sdJJxiIhUkzXDI04A7rTMTeFjYWYTgPnAy0nFICLSl0wcJaC8E8Dnf6I9gP8JfBmIeHhFRCQ6mYxFfkvIVI8BmNkCYLu7P1PHvovNrNPMOnfu3NmE6EREDshmiKEE5OUbziepnnsCD4iZPQiMq7BpKfDfgT+tpx13XwGsAOjo6FBvQUSaKq55AEd0AnD3cyu9bmYzgcnAM8Wp0O3Ak2Y2x91/F1c8IiIDEdcYQAgloNgSQDXu/iwwtvTczF4EOtz9tWbHIiLSl2zGYpkIFkIPQPMARERqyBixTAQLoAPQ/B7Aodx9UtIxiIhUo7WARERSqlAC0kQwEZHUiWUQOJASkBKAiEgNhbWAom1TawGJiLSAbMR3BCu1pRKQiEjgCvcEjjABFNvSZaAiIoHLRHxLyNIVRboKSEQkcNmoewDFheXUAxARCVw2Y0R5EVC+3AOIrs2BCiAEEZFwWcSDwDmNAYiItIZsxLeELF8FpAQgIhK2yMcAik1pEFhEJHBmVh64jUKu3AOIrs2BUgIQEakhm4l2NdDyPIAAMoASgIhIDYWrgKJPAFoKQkQkcBbxGEBOg8AiIq0hG/FqoOWJYCoBiYiETRPBRERSShPBRERSKhvxLSE1EUxEpEVEfxXQgXaTpgQgIlKDJoLFwMyuNrMtZrbJzP4pqThERGrJZoi2BBTQGMCgJE5qZh8GFgKnuPteMxubRBwiIn2J+jLQUltpLgFdBVzn7nsB3H1HQnGIiNRUul7fI+oFaCkIOAH4oJltNLOfmNn7q+1oZovNrNPMOnfu3NnEEEVEDpRqouoFpKIEZGYPAuMqbFpaPO+xwOnA+4Hvmtl7vEKKdfcVwAqAjo6OCKdjiIj0rVSqyblH8oGZKw4oh7AWUGwJwN3PrbbNzK4C7i5+4D9uZnlgNKCv+CISlNI39ajGgQ+UgKJprxFJhbAamAtgZicAQ4DXEopFRKSqUqk+shJQQBPBErkKCLgFuMXMngP2AZdVKv+IiCStdwkoCjkP5yqgRBKAu+8DPpXEuUVE+qNcAopoMlipIxFCDyCAKpSISLjKJaCoLgPVTGARkdZQLgFFNAagiWAiIi0itolgKgGJiIStPBFMCUBEJF2yEc8ELk8EUwlIRCRsB0pA0bSnW0KKiLSIyCeCFROAqQQkIhK2yCeCla4CUgIQEQlbabA2qhvD6zJQEZEWUU4AEY0BlDoSAXQAlABERGopDdZGdhVQQGsBKQGIiNRwoAegMQARkVQpfVOPKgG4bgkpItIaor4lZC6g+wEoAYiI1JCJuAeQKzajEpCISOCykV8FpFtCioi0hKhnAqsEJCLSIsolIF0GKiKSLgeuAoqmvdJQgnoAIiKBi/qWkDndElJEpDVoLaCImdksM9tgZk+bWaeZzUkiDhGRvsQxEcws3ctB/xPwFXefBfxd8bmISHAinwjmHkT9H5JLAA6MLD4+GngloThERGqKfi2gMCaBAQxK6LxfAh4ws29QSEJnVtvRzBYDiwEmTpzYlOBERErKN4TJR9Ne3j2ISWAQYwIwsweBcRU2LQXmAX/l7neZ2cXAzcC5ldpx9xXACoCOjo6ILsQSEalPaaw2qh5APh9OCSi2BODuFT/QAcxsJfDF4tPvATfFFYeISCOiXwvIgykBJdUReQU4p/h4LrA1oThERGrKRjwInM97EEtBQ3JjAJ8DbjCzQcDbFGv8IiKhiXomcN7DmAMACSUAd/834NQkzi0i0h+lak2UawEF8vmvmcAiIrWUrwI6AgeBlQBERGrIRjwPIO8eTAlICUBEpAaLfC2gMFYCBSUAEZGaDkwEi64HEMpEsEDCEBEJU9S3hMxrHoCISGuw4qdkdGsBhTMInNQ8ABGRllD6tv4vP/kN/+/n2xpur/v3bzPu6GENtxMFJQARkRqOGpLlynOO5+XX/z2S9qYeN5wPTh0TSVuNUgIQEanBzFjykZOSDiMWGgMQEUkpJQARkZRSAhARSSklABGRlFICEBFJKSUAEZGUUgIQEUkpJQARkZQyj2h9i2Yws53ASwM8fDTwWoThxCH0GBVf40KPMfT4IPwYQ4zv3e5+2PTjlkoAjTCzTnfvSDqOWkKPUfE1LvQYQ48Pwo8x9Ph6UwlIRCSllABERFIqTQlgRdIB1CH0GBVf40KPMfT4IPwYQ4+vLDVjACIicrA09QBERKQXJQARkZQ6IhKAmZ1nZlvM7NdmtqTCdjOz/1Xc/gszm13vsUnGZ2YTzOwRM9tsZpvM7Ishxddre9bMnjKz++KIr9EYzewYM/u+mf2y+Ls8I7D4/qr47/ucmd1pZrHcL7COGE8ys5+Z2V4zu7Y/xyYZX7PeJ43E2Gt77O+VfnH3lv4BssBvgPcAQ4BngOmH7HM+sAYw4HRgY73HJhxfGzC7+HgE8KuQ4uu1/Rrg/wL3hfZvXNx2G/DZ4uMhwDGhxAe8C3gBeEfx+XeBRQn9DscC7we+Clzbn2MTji/290mjMTbrvdLfnyOhBzAH+LW7/9bd9wGrgIWH7LMQWOkFG4BjzKytzmMTi8/du939SQB3fwvYTOEDI4j4AMysHfgocFPEcUUSo5mNBM4GbgZw933uvjuU+IrbBgHvMLNBwFHAKxHHV1eM7r7D3X8O9PT32CTja9L7pKEYoWnvlX45EhLAu4BtvZ53cfg/frV96jk2yfjKzGwS8D5gY2DxLQO+DOQjjqve8/e1z3uAncCtxa73TWb2J6HE5+7bgW8ALwPdwO/d/UcRx1dvjHEcW69IzhHj+wQaj3EZ8b9X+uVISABW4bVDr22ttk89xzaqkfgKG82GA3cBX3L3NyOMrc9z19rHzC4Adrj7ExHHdKhGfoeDgNnAd9z9fcC/A1HXsBv5HR5L4VvkZGA88Cdm9qmI46t6/iYcW6+GzxHz+wQaiLGJ75V+ORISQBcwodfzdg7vQlfbp55jk4wPMxtM4T/1He5+d8SxNRrfWcACM3uRQnd4rpn9a2AxdgFd7l76Rvh9CgkhlPjOBV5w953u3gPcDZwZcXz1xhjHsfVq6BxNeJ9AYzE2673SP0kPQjT6Q+Eb3m8pfIMqDczMOGSfj3LwANzj9R6bcHwGrASWhfj7O2SfDxHfIHBDMQKPAicWH/8DcH0o8QGnAZso1P6NwoD11Un8Dnvt+w8cPMgaxPukRnyxv08ajfGQbbG9V/r9d0o6gIj+Yc6nMPL/G2Bp8bUrgSt7/QdZXtz+LNBR69hQ4gM+QKGL+Qvg6eLP+aHEd0gbsf6nbvDfeBbQWfw9rgaODSy+rwC/BJ4DbgeGJvQ7HEfhW+6bwO7i45EBvU8qxtes90mjv8NmvVf686OlIEREUupIGAMQEZEBUAIQEUkpJQARkZRSAhARSSklABGRlFICkNQqrhL6+V7Px5vZ92M61380s7/rY59vmNncOM4vUokuA5XUKq4bc5+7n9yEc/0UWODur9XY593Aje7+p3HHIwLqAUi6XQccb2ZPm9n1ZjbJzJ4DMLNFZrbazH5oZi+Y2V+a2TXFBeU2mNk7i/sdb2ZrzewJM3vUzE469CRmdgKw191fM7MRxfYGF7eNNLMXzWywu78EjDKzcU38HUiKKQFImi0BfuPus9z9v1bYfjLwnyksA/xV4A9eWFDuZ8BnivusoLB0w6nAtcC3K7RzFtB7ueIfU1gaAuAS4C4vrANEcb+zGvx7idRlUNIBiATskeIH9ltm9nvgh8XXnwVOKa4+eSbwPbPyQpFDK7TTRmFJ6pKbKCwLvBr4L8Dnem3bQWFVUJHYKQGIVLe31+N8r+d5Cu+dDLDb3Wf10c4fgaNLT9z9sWK56Rwg6+7P9dp3WHF/kdipBCRp9haFWwgOiBfWnH/BzD4B5fv+vrfCrpuBKYe8thK4E7j1kNdPoLAonEjslAAktdx9F/BY8Wbs1w+wmU8CV5jZMxSWda50q8T1wPusV50IuAM4lkISAMpr2k+hsHKpSOx0GahIE5jZDcAP3f3B4vOPAwvd/dO99vkYhZub/21CYUrKaAxApDm+RuHmL5jZ/wY+QmFt+d4GAd9sclySYuoBiIiklMYARERSSglARCSllABERFJKCUBEJKWUAEREUur/A/5tNAKeMe9UAAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -103,7 +103,7 @@
     }
    ],
    "source": [
-    "swiftdiff['vx'].plot.line(x=\"time (y)\")"
+    "swiftdiff['vhx'].plot.line(x=\"time (y)\")"
    ]
   },
   {