diff --git a/examples/symba_mars_disk/param.in b/examples/symba_mars_disk/param.in
index fd0cc9134..1cf7598a5 100644
--- a/examples/symba_mars_disk/param.in
+++ b/examples/symba_mars_disk/param.in
@@ -6,8 +6,8 @@ CB_IN          cb.in
 PL_IN          mars.in
 TP_IN          tp.in
 IN_TYPE        ASCII
-ISTEP_OUT      1
-ISTEP_DUMP     1
+ISTEP_OUT      20
+ISTEP_DUMP     20
 BIN_OUT        bin.nc
 PARTICLE_OUT   particle.dat
 OUT_TYPE       NETCDF_DOUBLE
diff --git a/examples/symba_swifter_comparison/8pl_16tp_encounters/param.swifter.in b/examples/symba_swifter_comparison/8pl_16tp_encounters/param.swifter.in
index 15fdfcbe3..177630caf 100644
--- a/examples/symba_swifter_comparison/8pl_16tp_encounters/param.swifter.in
+++ b/examples/symba_swifter_comparison/8pl_16tp_encounters/param.swifter.in
@@ -1,9 +1,9 @@
 ! VERSION        Swifter parameter file converted from Swiftest
 T0               0.0
-TSTOP            3652.5
+TSTOP            365
 DT               1.0
-ISTEP_OUT        10
-ISTEP_DUMP       10
+ISTEP_OUT        1
+ISTEP_DUMP       1
 OUT_FORM         XV
 OUT_TYPE         REAL8
 OUT_STAT         UNKNOWN
diff --git a/examples/symba_swifter_comparison/8pl_16tp_encounters/param.swiftest.in b/examples/symba_swifter_comparison/8pl_16tp_encounters/param.swiftest.in
index ad787b5bf..e3e020d8a 100644
--- a/examples/symba_swifter_comparison/8pl_16tp_encounters/param.swiftest.in
+++ b/examples/symba_swifter_comparison/8pl_16tp_encounters/param.swiftest.in
@@ -1,9 +1,9 @@
 ! VERSION        Swiftest parameter input
 T0               0.0
-TSTOP            3652.5
+TSTOP            365
 DT               1.0
-ISTEP_OUT        10
-ISTEP_DUMP       10
+ISTEP_OUT        1
+ISTEP_DUMP       1
 OUT_FORM         XV
 OUT_TYPE         NETCDF_DOUBLE
 OUT_STAT         UNKNOWN
diff --git a/examples/symba_swifter_comparison/8pl_16tp_encounters/pl.in b/examples/symba_swifter_comparison/8pl_16tp_encounters/pl.in
index 93c1187e2..574290966 100644
--- a/examples/symba_swifter_comparison/8pl_16tp_encounters/pl.in
+++ b/examples/symba_swifter_comparison/8pl_16tp_encounters/pl.in
@@ -1,33 +1,33 @@
 8
-Mercury 4.9125474498983623693e-11 0.0014751323154597003982
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 1.6306381826061645943e-05
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-Venus 7.243452483873646905e-10 0.006759081491453044288
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 4.0453784346544178454e-05
-0.12681182092868958922 -0.7161485778943049718 -0.017146261752773749032
-0.01978070713081106144 0.0034557070729633850362 -0.00109402215681010293
-Earth 8.9970113821660187435e-10 0.010044922299157369357
+0.2990753407779592199 -0.6632100042621156266 -0.026360212624545961008
+0.018302016936885410342 0.008245710698089018728 -0.00094295400489744841174
+Earth 8.9970113821660187435e-10 0.010044890881522152024
 4.25875607065040958e-05
-0.9913796310092216624 -0.17236385208280941006 4.574442303609438109e-06
-0.0026673818939059660942 0.016885702625202340249 -8.2074388361713082097e-07
-Mars 9.549535102761465607e-11 0.0072465072866114584993
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+Mars 9.549535102761465607e-11 0.0072464600218361159065
 2.265740805092889601e-05
--1.6436878725691590475 -0.09931688681832298582 0.038237939117251117105
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-Jupiter 2.825345908631354893e-07 0.35527107845247299128
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 0.00046732617030490929307
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-Saturn 8.459715183006415395e-08 0.43766591356252188504
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 0.00038925687730393611812
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-Uranus 1.2920249163736673626e-08 0.46971473227488373932
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+0.0038755970018745189258 0.0036872503470294919377 -0.00021829651897950920047
+Uranus 1.2920249163736673626e-08 0.4697430994852798912
 0.00016953449859497231466
-14.692788408572690528 13.179130291284799625 -0.14143429698462339772
--0.0026516826407085368304 0.0027513763836455209892 4.4427867883713361775e-05
-Neptune 1.5243589003230834323e-08 0.7814967956849401736
+14.66889989083050061 13.203872414598899709 -0.14103421509241859111
+-0.0026568764662203521107 0.0027468710922308441774 4.4479242436019731115e-05
+Neptune 1.5243589003230834323e-08 0.7815248400937813483
 0.000164587904124493665
-29.58593540166936009 -4.435365846939811618 -0.5905556302070252839
-0.0004489890080502080224 0.003131021601122137201 -7.4728898269552307757e-05
+29.589962576161859431 -4.4071843471850522533 -0.591227914742734173
+0.00044593775398081260874 0.0031315328653865699346 -7.4667609066900140504e-05
diff --git a/examples/symba_swifter_comparison/8pl_16tp_encounters/pl.swifter.in b/examples/symba_swifter_comparison/8pl_16tp_encounters/pl.swifter.in
index 611be7721..b4b8dfe4d 100644
--- a/examples/symba_swifter_comparison/8pl_16tp_encounters/pl.swifter.in
+++ b/examples/symba_swifter_comparison/8pl_16tp_encounters/pl.swifter.in
@@ -2,35 +2,35 @@
 0 0.00029591220819207774
 0.0 0.0 0.0
 0.0 0.0 0.0
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 1.6306381826061645943e-05
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-0.022298358665237189014 0.0047355207618514265702 -0.0016584224113858070382
-2 7.243452483873646905e-10 0.006759081491453044288
+0.2386666776623860009 -0.35641151623302969043 -0.05101731016108843747
+0.017764175111075249797 0.017029962919661641163 -0.00023782836795535061019
+2 7.243452483873646905e-10 0.0067590994376241490576
 4.0453784346544178454e-05
-0.12681182092868958922 -0.7161485778943049718 -0.017146261752773749032
-0.01978070713081106144 0.0034557070729633850362 -0.00109402215681010293
-3 8.9970113821660187435e-10 0.010044922299157369357
+0.2990753407779592199 -0.6632100042621156266 -0.026360212624545961008
+0.018302016936885410342 0.008245710698089018728 -0.00094295400489744841174
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 4.25875607065040958e-05
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 2.265740805092889601e-05
--1.6436878725691590475 -0.09931688681832298582 0.038237939117251117105
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 0.00038925687730393611812
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 0.00016953449859497231466
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--0.0026516826407085368304 0.0027513763836455209892 4.4427867883713361775e-05
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 0.000164587904124493665
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diff --git a/examples/symba_swifter_comparison/8pl_16tp_encounters/pl.swiftest.in b/examples/symba_swifter_comparison/8pl_16tp_encounters/pl.swiftest.in
index 93c1187e2..574290966 100644
--- a/examples/symba_swifter_comparison/8pl_16tp_encounters/pl.swiftest.in
+++ b/examples/symba_swifter_comparison/8pl_16tp_encounters/pl.swiftest.in
@@ -1,33 +1,33 @@
 8
-Mercury 4.9125474498983623693e-11 0.0014751323154597003982
+Mercury 4.9125474498983623693e-11 0.0014751322421091943544
 1.6306381826061645943e-05
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-Venus 7.243452483873646905e-10 0.006759081491453044288
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 4.0453784346544178454e-05
-0.12681182092868958922 -0.7161485778943049718 -0.017146261752773749032
-0.01978070713081106144 0.0034557070729633850362 -0.00109402215681010293
-Earth 8.9970113821660187435e-10 0.010044922299157369357
+0.2990753407779592199 -0.6632100042621156266 -0.026360212624545961008
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+Earth 8.9970113821660187435e-10 0.010044890881522152024
 4.25875607065040958e-05
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-0.0026673818939059660942 0.016885702625202340249 -8.2074388361713082097e-07
-Mars 9.549535102761465607e-11 0.0072465072866114584993
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 2.265740805092889601e-05
--1.6436878725691590475 -0.09931688681832298582 0.038237939117251117105
-0.0013642455487206960919 -0.0127728951275482699446 -0.00030115173687901287654
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 0.00046732617030490929307
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-0.003792902202341501966 0.0068350794283332117623 -0.00011324814038141340017
-Saturn 8.459715183006415395e-08 0.43766591356252188504
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 0.00038925687730393611812
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 0.00016953449859497231466
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--0.0026516826407085368304 0.0027513763836455209892 4.4427867883713361775e-05
-Neptune 1.5243589003230834323e-08 0.7814967956849401736
+14.66889989083050061 13.203872414598899709 -0.14103421509241859111
+-0.0026568764662203521107 0.0027468710922308441774 4.4479242436019731115e-05
+Neptune 1.5243589003230834323e-08 0.7815248400937813483
 0.000164587904124493665
-29.58593540166936009 -4.435365846939811618 -0.5905556302070252839
-0.0004489890080502080224 0.003131021601122137201 -7.4728898269552307757e-05
+29.589962576161859431 -4.4071843471850522533 -0.591227914742734173
+0.00044593775398081260874 0.0031315328653865699346 -7.4667609066900140504e-05
diff --git a/examples/symba_swifter_comparison/8pl_16tp_encounters/swiftest_symba_vs_swifter_symba.ipynb b/examples/symba_swifter_comparison/8pl_16tp_encounters/swiftest_symba_vs_swifter_symba.ipynb
index 4f99d59cc..bc5f7245e 100644
--- a/examples/symba_swifter_comparison/8pl_16tp_encounters/swiftest_symba_vs_swifter_symba.ipynb
+++ b/examples/symba_swifter_comparison/8pl_16tp_encounters/swiftest_symba_vs_swifter_symba.ipynb
@@ -21,7 +21,7 @@
      "output_type": "stream",
      "text": [
       "Reading Swifter file param.swifter.in\n",
-      "Reading in time 3.650e+03\n",
+      "Reading in time 3.650e+02\n",
       "Creating Dataset\n",
       "Successfully converted 366 output frames.\n",
       "Swifter simulation data stored as xarray DataSet .ds\n"
@@ -46,7 +46,7 @@
      "text": [
       "Reading Swiftest file param.swiftest.in\n",
       "\n",
-      "Creating Dataset\n",
+      "Creating Dataset from NetCDF file\n",
       "Successfully converted 366 output frames.\n",
       "Swiftest simulation data stored as xarray DataSet .ds\n"
      ]
@@ -74,7 +74,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "swiftdiff = swiftdiff.rename({'time' : 'time (d)'})"
+    "swiftdiff['rmag'] = np.sqrt(swiftdiff['xhx']**2 + swiftdiff['xhy']**2 + swiftdiff['xhz']**2)\n",
+    "swiftdiff['vmag'] = np.sqrt(swiftdiff['vhx']**2 + swiftdiff['vhy']**2 + swiftdiff['vhz']**2)"
    ]
   },
   {
@@ -83,18 +84,390 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "swiftdiff['rmag'] = np.sqrt(swiftdiff['xhx']**2 + swiftdiff['xhy']**2 + swiftdiff['xhz']**2)\n",
-    "swiftdiff['vmag'] = np.sqrt(swiftdiff['vhx']**2 + swiftdiff['vhy']**2 + swiftdiff['vhz']**2)"
+    "plidx = swiftdiff.id.values[swiftdiff.id.values <= 8]\n",
+    "tpidx = swiftdiff.id.values[swiftdiff.id.values > 8]"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
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+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: '►';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: '▼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;xhx&#x27; (id: 16)&gt;\n",
+       "array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])\n",
+       "Coordinates:\n",
+       "  * id       (id) int64 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24\n",
+       "    time     float64 1.0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'xhx'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>id</span>: 16</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bc4e7b40-0e6e-4f68-a977-2a19b3a419fa' class='xr-array-in' type='checkbox' checked><label for='section-bc4e7b40-0e6e-4f68-a977-2a19b3a419fa' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])</pre></div></div></li><li class='xr-section-item'><input id='section-f04ebd95-1ef6-4641-8ea8-17ef5d204fb8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f04ebd95-1ef6-4641-8ea8-17ef5d204fb8' 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-75a548dc-765a-4481-861e-d6b8e590f2c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75a548dc-765a-4481-861e-d6b8e590f2c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c497af6-1e6a-4837-a96b-dfc74b363c79' class='xr-var-data-in' type='checkbox'><label for='data-7c497af6-1e6a-4837-a96b-dfc74b363c79' 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'>1.0</div><input id='attrs-717fd98f-2f2d-4905-a270-a6875056ba87' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-717fd98f-2f2d-4905-a270-a6875056ba87' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7698ec5-58e8-46be-a2c6-4324c8b7b6ed' class='xr-var-data-in' type='checkbox'><label for='data-e7698ec5-58e8-46be-a2c6-4324c8b7b6ed' 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(1.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bf3c746a-2312-4ab3-bb79-4e9c76362e2b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bf3c746a-2312-4ab3-bb79-4e9c76362e2b' 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.DataArray 'xhx' (id: 16)>\n",
+       "array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])\n",
+       "Coordinates:\n",
+       "  * id       (id) int64 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24\n",
+       "    time     float64 1.0"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "plidx = swiftdiff.id.values[swiftdiff.id.values < 9]\n",
-    "tpidx = swiftdiff.id.values[swiftdiff.id.values > 9]"
+    "swiftdiff.sel(id=tpidx)['xhx'].isel(time=1)"
    ]
   },
   {
@@ -104,7 +477,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -117,7 +490,7 @@
    ],
    "source": [
     "fig, ax = plt.subplots()\n",
-    "swiftdiff['rmag'].sel(id=plidx).plot.line(ax=ax, x=\"time (d)\")\n",
+    "swiftdiff['rmag'].sel(id=plidx).plot.line(ax=ax, x=\"time\")\n",
     "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n",
     "ax.set_title(\"Heliocentric position differences \\n Planets only\")\n",
     "fig.savefig(\"symba_swifter_comparison-8pl-16tp-planets-rmag.png\", facecolor='white', transparent=False, dpi=300)"
@@ -130,7 +503,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -143,7 +516,7 @@
    ],
    "source": [
     "fig, ax = plt.subplots()\n",
-    "swiftdiff['vmag'].sel(id=plidx).plot.line(ax=ax, x=\"time (d)\")\n",
+    "swiftdiff['vmag'].sel(id=plidx).plot.line(ax=ax, x=\"time\")\n",
     "ax.set_ylabel(\"$|\\mathbf{v}_{swiftest} - \\mathbf{v}_{swifter}|$\")\n",
     "ax.set_title(\"Heliocentric velocity differences \\n Planets only\")\n",
     "fig.savefig(\"symba_swifter_comparison-8pl-16tp-planets-vmag.png\", facecolor='white', transparent=False, dpi=300)"
@@ -163,7 +536,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -176,7 +549,7 @@
    ],
    "source": [
     "fig, ax = plt.subplots()\n",
-    "swiftdiff['rmag'].sel(id=tpidx).plot.line(ax=ax, x=\"time (d)\")\n",
+    "swiftdiff['rmag'].sel(id=tpidx).plot.line(ax=ax, x=\"time\")\n",
     "ax.set_ylabel(\"$|\\mathbf{r}_{swiftest} - \\mathbf{r}_{swifter}|$\")\n",
     "ax.set_title(\"Heliocentric position differences \\n Test Particles only\")\n",
     "legend = ax.legend()\n",
@@ -198,7 +571,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -211,7 +584,7 @@
    ],
    "source": [
     "fig, ax = plt.subplots()\n",
-    "swiftdiff['vmag'].sel(id=tpidx).plot.line(ax=ax, x=\"time (d)\")\n",
+    "swiftdiff['vmag'].sel(id=tpidx).plot.line(ax=ax, x=\"time\")\n",
     "ax.set_ylabel(\"$|\\mathbf{v}_{swiftest} - \\mathbf{v}_{swifter}|$\")\n",
     "ax.set_title(\"Heliocentric velocity differences \\n Test Particles only\")\n",
     "legend = ax.legend()\n",
diff --git a/examples/symba_swifter_comparison/8pl_16tp_encounters/tp.in b/examples/symba_swifter_comparison/8pl_16tp_encounters/tp.in
index 25ae7ab30..296a9cb43 100644
--- a/examples/symba_swifter_comparison/8pl_16tp_encounters/tp.in
+++ b/examples/symba_swifter_comparison/8pl_16tp_encounters/tp.in
@@ -1,49 +1,49 @@
 16
 SmallBody10
-0.053607836236141494235 -0.4548124418354052012 -0.04208301187261995896
-0.02490190813724633967 0.0047355207618514265702 -0.0016584224113858070382
+0.23868973836871765215 -0.35638845552669806693 -0.05101731016108843747
+0.020367724583084403922 0.017029962919661641163 -0.00023782836795535061019
 SmallBody11
-0.053561714823478191738 -0.4548585632480684482 -0.04208301187261995896
-0.019694809193228038358 0.0047355207618514265702 -0.0016584224113858070382
+0.23864361695605434965 -0.35643457693936131392 -0.05101731016108843747
+0.015160625639066097406 0.017029962919661641163 -0.00023782836795535061019
 SmallBody12
-0.12686903121916179304 -0.71609136760383274023 -0.017146261752773749032
-0.026127940836156455379 0.0034557070729633850362 -0.00109402215681010293
+0.29913255106843139597 -0.66315279397164339503 -0.026360212624545961008
+0.024649250642230804281 0.008245710698089018728 -0.00094295400489744841174
 SmallBody13
-0.12675461063821738539 -0.7162057881847772034 -0.017146261752773749032
-0.0134334734254656675 0.0034557070729633850362 -0.00109402215681010293
+0.29901813048748704382 -0.6632672145525878582 -0.026360212624545961008
+0.011954783231540016403 0.008245710698089018728 -0.00094295400489744841174
 SmallBody14
-0.99143985891516117626 -0.17230362417686989618 4.574442303609438109e-06
-0.0095618221281798410766 0.016885702625202340249 -8.2074388361713082097e-07
+1.0036858814469735712 -0.0189014240941126066 -2.8417417483764697977e-06
+0.006939846117295088955 0.017136881726258899883 -8.2401921935443904624e-07
 SmallBody15
-0.9913194031032821485 -0.17242407998874892394 4.574442303609438109e-06
--0.0042270583403679097556 0.016885702625202340249 -8.2074388361713082097e-07
+1.0035654256350943214 -0.01902187990599165518 -2.8417417483764697977e-06
+-0.006849034351252661877 0.017136881726258899883 -8.2401921935443904624e-07
 SmallBody16
--1.6436558301554051731 -0.099284844404569139176 0.038237939117251117105
-0.004443724646944589504 -0.0127728951275482699446 -0.00030115173687901287654
+-1.626967736391180086 -0.21387030149602806461 0.03542716286161200212
+0.00542374458134570539 -0.012678934386626589462 -0.00032322307543280830687
 SmallBody17
--1.6437199149829129219 -0.09934892923207683246 0.038237939117251117105
--0.0017152335495031968866 -0.0127728951275482699446 -0.00030115173687901287654
+-1.6270318212186878348 -0.2139343863235357579 0.03542716286161200212
+-0.0007352136151020810008 -0.012678934386626589462 -0.00032322307543280830687
 SmallBody18
-4.3047210092552194993 -2.5788555744441596929 -0.08558202993848706974
-0.04067511940398893522 0.0068350794283332117623 -0.00011324814038141340017
+4.338447360891147575 -2.5170968999548106737 -0.08659310309181492138
+0.040583919476831896433 0.00688886526378316294 -0.000111430767468823893455
 SmallBody19
-4.303399211239025135 -2.5801773724603540572 -0.08558202993848706974
--0.033089314999305924347 0.0068350794283332117623 -0.00011324814038141340017
+4.3371255628749532107 -2.518418697971005038 -0.08659310309181492138
+-0.033180514926462963132 0.00688886526378316294 -0.000111430767468823893455
 SmallBody20
-6.544641838536964684 -7.4829199778122026387 -0.1303290586096018111
-0.026006693145558375246 0.0036668581511023591937 -0.00021865564058601801348
+6.5796029656998484825 -7.4498264272356564675 -0.13229534767175391008
+0.02598876588540810842 0.0036872503470294919377 -0.00021829651897950920047
 SmallBody21
-6.543540853826703696 -7.484020962522463627 -0.1303290586096018111
--0.018219644621508802873 0.0036668581511023591937 -0.00021865564058601801348
+6.5785019809895874943 -7.4509274119459174557 -0.13229534767175391008
+-0.0182375718816590697 0.0036872503470294919377 -0.00021829651897950920047
 SmallBody22
-14.693028166559892966 13.179370049272002063 -0.14143429698462339772
-0.010443080897953356187 0.0027513763836455209892 4.4427867883713361775e-05
+14.669139648817703048 13.204112172586102147 -0.14103421509241859111
+0.010437887072441542208 0.0027468710922308441774 4.4479242436019731115e-05
 SmallBody23
-14.69254865058548809 13.178890533297597187 -0.14143429698462339772
--0.01574644617937042898 0.0027513763836455209892 4.4427867883713361775e-05
+14.668660132843298172 13.203632656611697271 -0.14103421509241859111
+-0.015751640004882244694 0.0027468710922308441774 4.4479242436019731115e-05
 SmallBody24
-29.586168164115576928 -4.435133084493596556 -0.5905556302070252839
-0.014884624821328339486 0.003131021601122137201 -7.4728898269552307757e-05
+29.59019533860807627 -4.406951584738837191 -0.591227914742734173
+0.014881573567258943314 0.0031315328653865699346 -7.4667609066900140504e-05
 SmallBody25
-29.585702639223143251 -4.4355986093860266806 -0.5905556302070252839
--0.0139866468052279226825 0.003131021601122137201 -7.4728898269552307757e-05
+29.589729813715642592 -4.4074171096312673157 -0.591227914742734173
+-0.013989698059297318855 0.0031315328653865699346 -7.4667609066900140504e-05
diff --git a/examples/symba_swifter_comparison/8pl_16tp_encounters/tp.swifter.in b/examples/symba_swifter_comparison/8pl_16tp_encounters/tp.swifter.in
index 672ab5bf6..b72496189 100644
--- a/examples/symba_swifter_comparison/8pl_16tp_encounters/tp.swifter.in
+++ b/examples/symba_swifter_comparison/8pl_16tp_encounters/tp.swifter.in
@@ -1,49 +1,49 @@
 16
 9
-0.053607836236141494235 -0.4548124418354052012 -0.04208301187261995896
-0.02490190813724633967 0.0047355207618514265702 -0.0016584224113858070382
+0.23868973836871765215 -0.35638845552669806693 -0.05101731016108843747
+0.020367724583084403922 0.017029962919661641163 -0.00023782836795535061019
 10
-0.053561714823478191738 -0.4548585632480684482 -0.04208301187261995896
-0.019694809193228038358 0.0047355207618514265702 -0.0016584224113858070382
+0.23864361695605434965 -0.35643457693936131392 -0.05101731016108843747
+0.015160625639066097406 0.017029962919661641163 -0.00023782836795535061019
 11
-0.12686903121916179304 -0.71609136760383274023 -0.017146261752773749032
-0.026127940836156455379 0.0034557070729633850362 -0.00109402215681010293
+0.29913255106843139597 -0.66315279397164339503 -0.026360212624545961008
+0.024649250642230804281 0.008245710698089018728 -0.00094295400489744841174
 12
-0.12675461063821738539 -0.7162057881847772034 -0.017146261752773749032
-0.0134334734254656675 0.0034557070729633850362 -0.00109402215681010293
+0.29901813048748704382 -0.6632672145525878582 -0.026360212624545961008
+0.011954783231540016403 0.008245710698089018728 -0.00094295400489744841174
 13
-0.99143985891516117626 -0.17230362417686989618 4.574442303609438109e-06
-0.0095618221281798410766 0.016885702625202340249 -8.2074388361713082097e-07
+1.0036858814469735712 -0.0189014240941126066 -2.8417417483764697977e-06
+0.006939846117295088955 0.017136881726258899883 -8.2401921935443904624e-07
 14
-0.9913194031032821485 -0.17242407998874892394 4.574442303609438109e-06
--0.0042270583403679097556 0.016885702625202340249 -8.2074388361713082097e-07
+1.0035654256350943214 -0.01902187990599165518 -2.8417417483764697977e-06
+-0.006849034351252661877 0.017136881726258899883 -8.2401921935443904624e-07
 15
--1.6436558301554051731 -0.099284844404569139176 0.038237939117251117105
-0.004443724646944589504 -0.0127728951275482699446 -0.00030115173687901287654
+-1.626967736391180086 -0.21387030149602806461 0.03542716286161200212
+0.00542374458134570539 -0.012678934386626589462 -0.00032322307543280830687
 16
--1.6437199149829129219 -0.09934892923207683246 0.038237939117251117105
--0.0017152335495031968866 -0.0127728951275482699446 -0.00030115173687901287654
+-1.6270318212186878348 -0.2139343863235357579 0.03542716286161200212
+-0.0007352136151020810008 -0.012678934386626589462 -0.00032322307543280830687
 17
-4.3047210092552194993 -2.5788555744441596929 -0.08558202993848706974
-0.04067511940398893522 0.0068350794283332117623 -0.00011324814038141340017
+4.338447360891147575 -2.5170968999548106737 -0.08659310309181492138
+0.040583919476831896433 0.00688886526378316294 -0.000111430767468823893455
 18
-4.303399211239025135 -2.5801773724603540572 -0.08558202993848706974
--0.033089314999305924347 0.0068350794283332117623 -0.00011324814038141340017
+4.3371255628749532107 -2.518418697971005038 -0.08659310309181492138
+-0.033180514926462963132 0.00688886526378316294 -0.000111430767468823893455
 19
-6.544641838536964684 -7.4829199778122026387 -0.1303290586096018111
-0.026006693145558375246 0.0036668581511023591937 -0.00021865564058601801348
+6.5796029656998484825 -7.4498264272356564675 -0.13229534767175391008
+0.02598876588540810842 0.0036872503470294919377 -0.00021829651897950920047
 20
-6.543540853826703696 -7.484020962522463627 -0.1303290586096018111
--0.018219644621508802873 0.0036668581511023591937 -0.00021865564058601801348
+6.5785019809895874943 -7.4509274119459174557 -0.13229534767175391008
+-0.0182375718816590697 0.0036872503470294919377 -0.00021829651897950920047
 21
-14.693028166559892966 13.179370049272002063 -0.14143429698462339772
-0.010443080897953356187 0.0027513763836455209892 4.4427867883713361775e-05
+14.669139648817703048 13.204112172586102147 -0.14103421509241859111
+0.010437887072441542208 0.0027468710922308441774 4.4479242436019731115e-05
 22
-14.69254865058548809 13.178890533297597187 -0.14143429698462339772
--0.01574644617937042898 0.0027513763836455209892 4.4427867883713361775e-05
+14.668660132843298172 13.203632656611697271 -0.14103421509241859111
+-0.015751640004882244694 0.0027468710922308441774 4.4479242436019731115e-05
 23
-29.586168164115576928 -4.435133084493596556 -0.5905556302070252839
-0.014884624821328339486 0.003131021601122137201 -7.4728898269552307757e-05
+29.59019533860807627 -4.406951584738837191 -0.591227914742734173
+0.014881573567258943314 0.0031315328653865699346 -7.4667609066900140504e-05
 24
-29.585702639223143251 -4.4355986093860266806 -0.5905556302070252839
--0.0139866468052279226825 0.003131021601122137201 -7.4728898269552307757e-05
+29.589729813715642592 -4.4074171096312673157 -0.591227914742734173
+-0.013989698059297318855 0.0031315328653865699346 -7.4667609066900140504e-05
diff --git a/examples/symba_swifter_comparison/8pl_16tp_encounters/tp.swiftest.in b/examples/symba_swifter_comparison/8pl_16tp_encounters/tp.swiftest.in
index 25ae7ab30..296a9cb43 100644
--- a/examples/symba_swifter_comparison/8pl_16tp_encounters/tp.swiftest.in
+++ b/examples/symba_swifter_comparison/8pl_16tp_encounters/tp.swiftest.in
@@ -1,49 +1,49 @@
 16
 SmallBody10
-0.053607836236141494235 -0.4548124418354052012 -0.04208301187261995896
-0.02490190813724633967 0.0047355207618514265702 -0.0016584224113858070382
+0.23868973836871765215 -0.35638845552669806693 -0.05101731016108843747
+0.020367724583084403922 0.017029962919661641163 -0.00023782836795535061019
 SmallBody11
-0.053561714823478191738 -0.4548585632480684482 -0.04208301187261995896
-0.019694809193228038358 0.0047355207618514265702 -0.0016584224113858070382
+0.23864361695605434965 -0.35643457693936131392 -0.05101731016108843747
+0.015160625639066097406 0.017029962919661641163 -0.00023782836795535061019
 SmallBody12
-0.12686903121916179304 -0.71609136760383274023 -0.017146261752773749032
-0.026127940836156455379 0.0034557070729633850362 -0.00109402215681010293
+0.29913255106843139597 -0.66315279397164339503 -0.026360212624545961008
+0.024649250642230804281 0.008245710698089018728 -0.00094295400489744841174
 SmallBody13
-0.12675461063821738539 -0.7162057881847772034 -0.017146261752773749032
-0.0134334734254656675 0.0034557070729633850362 -0.00109402215681010293
+0.29901813048748704382 -0.6632672145525878582 -0.026360212624545961008
+0.011954783231540016403 0.008245710698089018728 -0.00094295400489744841174
 SmallBody14
-0.99143985891516117626 -0.17230362417686989618 4.574442303609438109e-06
-0.0095618221281798410766 0.016885702625202340249 -8.2074388361713082097e-07
+1.0036858814469735712 -0.0189014240941126066 -2.8417417483764697977e-06
+0.006939846117295088955 0.017136881726258899883 -8.2401921935443904624e-07
 SmallBody15
-0.9913194031032821485 -0.17242407998874892394 4.574442303609438109e-06
--0.0042270583403679097556 0.016885702625202340249 -8.2074388361713082097e-07
+1.0035654256350943214 -0.01902187990599165518 -2.8417417483764697977e-06
+-0.006849034351252661877 0.017136881726258899883 -8.2401921935443904624e-07
 SmallBody16
--1.6436558301554051731 -0.099284844404569139176 0.038237939117251117105
-0.004443724646944589504 -0.0127728951275482699446 -0.00030115173687901287654
+-1.626967736391180086 -0.21387030149602806461 0.03542716286161200212
+0.00542374458134570539 -0.012678934386626589462 -0.00032322307543280830687
 SmallBody17
--1.6437199149829129219 -0.09934892923207683246 0.038237939117251117105
--0.0017152335495031968866 -0.0127728951275482699446 -0.00030115173687901287654
+-1.6270318212186878348 -0.2139343863235357579 0.03542716286161200212
+-0.0007352136151020810008 -0.012678934386626589462 -0.00032322307543280830687
 SmallBody18
-4.3047210092552194993 -2.5788555744441596929 -0.08558202993848706974
-0.04067511940398893522 0.0068350794283332117623 -0.00011324814038141340017
+4.338447360891147575 -2.5170968999548106737 -0.08659310309181492138
+0.040583919476831896433 0.00688886526378316294 -0.000111430767468823893455
 SmallBody19
-4.303399211239025135 -2.5801773724603540572 -0.08558202993848706974
--0.033089314999305924347 0.0068350794283332117623 -0.00011324814038141340017
+4.3371255628749532107 -2.518418697971005038 -0.08659310309181492138
+-0.033180514926462963132 0.00688886526378316294 -0.000111430767468823893455
 SmallBody20
-6.544641838536964684 -7.4829199778122026387 -0.1303290586096018111
-0.026006693145558375246 0.0036668581511023591937 -0.00021865564058601801348
+6.5796029656998484825 -7.4498264272356564675 -0.13229534767175391008
+0.02598876588540810842 0.0036872503470294919377 -0.00021829651897950920047
 SmallBody21
-6.543540853826703696 -7.484020962522463627 -0.1303290586096018111
--0.018219644621508802873 0.0036668581511023591937 -0.00021865564058601801348
+6.5785019809895874943 -7.4509274119459174557 -0.13229534767175391008
+-0.0182375718816590697 0.0036872503470294919377 -0.00021829651897950920047
 SmallBody22
-14.693028166559892966 13.179370049272002063 -0.14143429698462339772
-0.010443080897953356187 0.0027513763836455209892 4.4427867883713361775e-05
+14.669139648817703048 13.204112172586102147 -0.14103421509241859111
+0.010437887072441542208 0.0027468710922308441774 4.4479242436019731115e-05
 SmallBody23
-14.69254865058548809 13.178890533297597187 -0.14143429698462339772
--0.01574644617937042898 0.0027513763836455209892 4.4427867883713361775e-05
+14.668660132843298172 13.203632656611697271 -0.14103421509241859111
+-0.015751640004882244694 0.0027468710922308441774 4.4479242436019731115e-05
 SmallBody24
-29.586168164115576928 -4.435133084493596556 -0.5905556302070252839
-0.014884624821328339486 0.003131021601122137201 -7.4728898269552307757e-05
+29.59019533860807627 -4.406951584738837191 -0.591227914742734173
+0.014881573567258943314 0.0031315328653865699346 -7.4667609066900140504e-05
 SmallBody25
-29.585702639223143251 -4.4355986093860266806 -0.5905556302070252839
--0.0139866468052279226825 0.003131021601122137201 -7.4728898269552307757e-05
+29.589729813715642592 -4.4074171096312673157 -0.591227914742734173
+-0.013989698059297318855 0.0031315328653865699346 -7.4667609066900140504e-05
diff --git a/src/gr/gr.f90 b/src/gr/gr.f90
index 71d50f448..8b6bb1120 100644
--- a/src/gr/gr.f90
+++ b/src/gr/gr.f90
@@ -33,8 +33,9 @@ module pure subroutine gr_kick_getaccb_ns_body(self, system, param)
 
          select type(self)
          class is (swiftest_pl)
-            do i = 1, NDIM
-               cb%agr(i) = -sum(self%Gmass(1:n) * self%agr(1:n, i) / cb%Gmass)
+            cb%agr(:) = 0.0_DP
+            do i = n, 1, -1
+               cb%agr(:) = cb%agr(:) - self%Gmass(i) * self%agr(:, i) / cb%Gmass
             end do
          end select
       end associate 
@@ -226,9 +227,9 @@ module pure subroutine gr_vel2pseudovel(param, mu, xh, vh, pv)
 
             Jinv = Jinv * det
 
-            do i = 1, NDIM
-               pv(i) = pv(i) - dot_product(Jinv(i,:), F(:))
-            end do
+            pv(1) = pv(1) - dot_product(Jinv(1,:), F(:))
+            pv(2) = pv(2) - dot_product(Jinv(2,:), F(:))
+            pv(3) = pv(3) - dot_product(Jinv(3,:), F(:))
          end do 
       end associate
    
diff --git a/src/obl/obl.f90 b/src/obl/obl.f90
index 977fc620c..bf369c615 100644
--- a/src/obl/obl.f90
+++ b/src/obl/obl.f90
@@ -58,8 +58,9 @@ module subroutine obl_acc_pl(self, system)
 
       associate(pl => self, npl => self%nbody, cb => system%cb)
          call obl_acc_body(pl, system)
-         do i = 1, NDIM
-            cb%aobl(i) = -sum(pl%Gmass(1:npl) * pl%aobl(i, 1:npl), pl%lmask(1:npl)) / cb%Gmass
+         cb%aobl(:) = 0.0_DP
+         do i = npl, 1, -1
+            if (pl%lmask(i)) cb%aobl(:) = cb%aobl(:) - pl%Gmass(i) * pl%aobl(:, i) / cb%Gmass
          end do
 
          do concurrent(i = 1:npl, pl%lmask(i))
diff --git a/src/symba/symba_encounter_check.f90 b/src/symba/symba_encounter_check.f90
index 4896721d3..10ea00144 100644
--- a/src/symba/symba_encounter_check.f90
+++ b/src/symba/symba_encounter_check.f90
@@ -244,9 +244,9 @@ module function symba_encounter_check(self, param, system, dt, irec) result(lany
       ! Internals
       integer(I4B)              :: i, j, k, lidx, nenc_enc
       real(DP), dimension(NDIM) :: xr, vr
-      logical                   :: lencounter, isplpl
+      logical                   :: isplpl
       real(DP)                  :: rlim2, rji2
-      logical, dimension(:), allocatable :: lencmask
+      logical, dimension(:), allocatable :: lencmask, lencounter
       integer(I4B), dimension(:), allocatable :: encidx
 
       lany_encounter = .false.
@@ -269,43 +269,58 @@ module function symba_encounter_check(self, param, system, dt, irec) result(lany
             if (nenc_enc == 0) return
 
             allocate(encidx(nenc_enc))
+            allocate(lencounter(nenc_enc))
             encidx(:) = pack([(k, k = 1, self%nenc)], lencmask(:))
-
-            do lidx = 1, nenc_enc
-               k = encidx(lidx)
-               i = self%index1(k)
-               j = self%index2(k)
-               if (isplpl) then
+            lencounter(:) = .false.
+            if (isplpl) then
+               do concurrent(lidx = 1:nenc_enc)
+                  k = encidx(lidx)
+                  i = self%index1(k)
+                  j = self%index2(k)
                   xr(:) = pl%xh(:,j) - pl%xh(:,i)
                   vr(:) = pl%vb(:,j) - pl%vb(:,i)
-                  call symba_encounter_check_one(xr(1), xr(2), xr(3), vr(1), vr(2), vr(3), pl%rhill(i), pl%rhill(j), dt, irec, lencounter, self%lvdotr(k))
-               else
+                  call symba_encounter_check_one(xr(1), xr(2), xr(3), vr(1), vr(2), vr(3), pl%rhill(i), pl%rhill(j), dt, irec, lencounter(lidx), self%lvdotr(k))
+                  if (lencounter(lidx)) then
+                     rlim2 = (pl%radius(i) + pl%radius(j))**2
+                     rji2 = dot_product(xr(:), xr(:))! Check to see if these are physically overlapping bodies first, which we should ignore
+                     lencounter(lidx) = rji2 > rlim2
+                  end if
+               end do
+            else
+               do concurrent(lidx = 1:nenc_enc)
+                  k = encidx(lidx)
+                  i = self%index1(k)
+                  j = self%index2(k)
                   xr(:) = tp%xh(:,j) - pl%xh(:,i)
                   vr(:) = tp%vb(:,j) - pl%vb(:,i)
-                  call symba_encounter_check_one(xr(1), xr(2), xr(3), vr(1), vr(2), vr(3), pl%rhill(i), 0.0_DP, dt, irec, lencounter, self%lvdotr(k))
-               end if
-               if (lencounter) then
-                  if (isplpl) then
-                     rlim2 = (pl%radius(i) + pl%radius(j))**2
-                  else
+                  call symba_encounter_check_one(xr(1), xr(2), xr(3), vr(1), vr(2), vr(3), pl%rhill(i), 0.0_DP, dt, irec, lencounter(lidx), self%lvdotr(k))
+                  if (lencounter(lidx)) then
                      rlim2 = (pl%radius(i))**2
+                     rji2 = dot_product(xr(:), xr(:))! Check to see if these are physically overlapping bodies first, which we should ignore
+                     lencounter(lidx) = rji2 > rlim2
                   end if
-                  rji2 = dot_product(xr(:), xr(:))! Check to see if these are physically overlapping bodies first, which we should ignore
-                  if (rji2 > rlim2) then
-                     lany_encounter = .true.
-                     pl%levelg(i) = irec
-                     pl%levelm(i) = MAX(irec, pl%levelm(i))
-                     if (isplpl) then
-                        pl%levelg(j) = irec
-                        pl%levelm(j) = MAX(irec, pl%levelm(j))
-                     else
-                        tp%levelg(j) = irec
-                        tp%levelm(j) = MAX(irec, tp%levelm(j))
-                     end if
-                     self%level(k) = irec
+               end do
+            end if
+            lany_encounter = any(lencounter(:))
+            if (lany_encounter) then
+               nenc_enc = count(lencounter(:))
+               encidx(1:nenc_enc) = pack(encidx(:), lencounter(:))
+               do lidx = 1, nenc_enc
+                  k = encidx(lidx)
+                  i = self%index1(k)
+                  j = self%index2(k)
+                  pl%levelg(i) = irec
+                  pl%levelm(i) = MAX(irec, pl%levelm(i))
+                  if (isplpl) then
+                     pl%levelg(j) = irec
+                     pl%levelm(j) = MAX(irec, pl%levelm(j))
+                  else
+                     tp%levelg(j) = irec
+                     tp%levelm(j) = MAX(irec, tp%levelm(j))
                   end if
-               end if   
-            end do
+                  self%level(k) = irec
+               end do
+            end if   
          end select
       end select
 
diff --git a/src/util/util_coord.f90 b/src/util/util_coord.f90
index b4a77231c..41d230878 100644
--- a/src/util/util_coord.f90
+++ b/src/util/util_coord.f90
@@ -139,9 +139,12 @@ module subroutine util_coord_vb2vh_pl(self, cb)
       if (self%nbody == 0) return
 
       associate(pl => self, npl => self%nbody)
-         do i = 1, NDIM
-            cb%vb(i) = -sum(pl%Gmass(1:npl) * pl%vb(i, 1:npl)) / cb%Gmass
-            pl%vh(i, 1:npl) = pl%vb(i, 1:npl) - cb%vb(i)
+         cb%vb(:) = 0.0_DP
+         do i = npl, 1, -1
+            cb%vb(:) = cb%vb(:) - pl%Gmass(i) * pl%vb(:, i) / cb%Gmass
+         end do
+         do concurrent(i = 1:npl)
+            pl%vh(:, i) = pl%vb(:, i) - cb%vb(:)
          end do
       end associate
 
@@ -194,9 +197,12 @@ module subroutine util_coord_vh2vb_pl(self, cb)
 
       associate(pl => self, npl => self%nbody)
          Gmtot = cb%Gmass + sum(pl%Gmass(1:npl))
-         do i = 1, NDIM
-            cb%vb(i) = -sum(pl%Gmass(1:npl) * pl%vh(i, 1:npl)) / Gmtot
-            pl%vb(i, 1:npl) = pl%vh(i, 1:npl) + cb%vb(i)
+         cb%vb(:) = 0.0_DP
+         do i = npl, 1, -1
+            cb%vb(:) = cb%vb(:) - pl%Gmass(i) * pl%vh(:, i) / Gmtot
+         end do
+         do concurrent(i = 1:npl)
+            pl%vb(:, i) = pl%vh(:, i) + cb%vb(:)
          end do
       end associate