diff --git a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb
index ccd070dad..c6d739ace 100644
--- a/examples/rmvs_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb
+++ b/examples/rmvs_swifter_comparison/1pl_1tp_encounter/swiftest_vs_swifter.ipynb
@@ -81,8 +81,8 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x2ac585714b10>,\n",
-       " <matplotlib.lines.Line2D at 0x2ac5b5925490>]"
+       "[<matplotlib.lines.Line2D at 0x2b9f04f66e50>,\n",
+       " <matplotlib.lines.Line2D at 0x2b9f04f960d0>]"
       ]
      },
      "execution_count": 6,
@@ -91,7 +91,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
diff --git a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb
index 5e13697d5..f57828160 100644
--- a/examples/rmvs_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb
+++ b/examples/rmvs_swifter_comparison/9pl_18tp_encounters/swiftest_rmvs_vs_swifter_rmvs.ipynb
@@ -482,7 +482,7 @@
        "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])\n",
        "Coordinates:\n",
        "    id        int64 4\n",
-       "  * time (d)  (time (d)) float64 0.0 1.0 2.0 3.0 4.0 ... 363.0 364.0 365.0 366.0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'px'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time (d)</span>: 367</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b33accd2-3b41-4e3c-bdab-3eebfafa81f1' class='xr-array-in' type='checkbox' checked><label for='section-b33accd2-3b41-4e3c-bdab-3eebfafa81f1' 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., 0.,\n",
+       "  * time (d)  (time (d)) float64 0.0 1.0 2.0 3.0 4.0 ... 363.0 364.0 365.0 366.0</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'px'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time (d)</span>: 367</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-bd19c8eb-96c5-483b-8087-0ed04ffe6631' class='xr-array-in' type='checkbox' checked><label for='section-bd19c8eb-96c5-483b-8087-0ed04ffe6631' 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., 0.,\n",
        "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
        "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
        "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
@@ -503,7 +503,7 @@
        "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
        "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
        "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
-       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])</pre></div></div></li><li class='xr-section-item'><input id='section-b3a288d7-61f5-4a57-9c10-d9e0a5eea985' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b3a288d7-61f5-4a57-9c10-d9e0a5eea985' 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>id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4</div><input id='attrs-42a10792-cedc-4b15-9000-a55bf46774e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42a10792-cedc-4b15-9000-a55bf46774e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90650219-21f9-4a74-9b80-3dd53b3f00ac' class='xr-var-data-in' type='checkbox'><label for='data-90650219-21f9-4a74-9b80-3dd53b3f00ac' 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(4)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time (d)</span></div><div class='xr-var-dims'>(time (d))</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 364.0 365.0 366.0</div><input id='attrs-e8078d39-41f9-4818-aadc-944756669458' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e8078d39-41f9-4818-aadc-944756669458' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-035853c2-b232-494a-b902-e088750b2bac' class='xr-var-data-in' type='checkbox'><label for='data-035853c2-b232-494a-b902-e088750b2bac' 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.,   1.,   2., ..., 364., 365., 366.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a91f4bda-97ff-4281-8740-6e730acd7900' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a91f4bda-97ff-4281-8740-6e730acd7900' 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., 0., 0., 0., 0., 0., 0., 0., 0., 0.])</pre></div></div></li><li class='xr-section-item'><input id='section-d77ca23f-0283-4c99-a479-fde6869293f7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d77ca23f-0283-4c99-a479-fde6869293f7' 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>id</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>4</div><input id='attrs-42309245-31db-4111-8f91-6ff4bfab0b4d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-42309245-31db-4111-8f91-6ff4bfab0b4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e48189a-38e2-488e-b90e-7c7181a17f09' class='xr-var-data-in' type='checkbox'><label for='data-5e48189a-38e2-488e-b90e-7c7181a17f09' 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(4)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time (d)</span></div><div class='xr-var-dims'>(time (d))</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 364.0 365.0 366.0</div><input id='attrs-6b8afc0c-1077-41d4-add3-25b4e4438780' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b8afc0c-1077-41d4-add3-25b4e4438780' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78717329-b514-4f79-88b4-57fa03a3230e' class='xr-var-data-in' type='checkbox'><label for='data-78717329-b514-4f79-88b4-57fa03a3230e' 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.,   1.,   2., ..., 364., 365., 366.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8a12bfb9-21c9-495e-89c8-439ffb5935d7' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8a12bfb9-21c9-495e-89c8-439ffb5935d7' 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 'px' (time (d): 367)>\n",
@@ -609,7 +609,7 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -644,7 +644,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
diff --git a/src/rmvs/rmvs_getacch.f90 b/src/rmvs/rmvs_getacch.f90
index b750e1ced..0ede99ab5 100644
--- a/src/rmvs/rmvs_getacch.f90
+++ b/src/rmvs/rmvs_getacch.f90
@@ -19,6 +19,7 @@ module subroutine rmvs_getacch_tp(self, system, param, t, lbeg)
       ! Internals
       type(swiftest_parameters)                 :: param_planetocen
       real(DP), dimension(:, :), allocatable    :: xh_original
+      real(DP)                                  :: GMcb_original
       integer(I4B)                              :: i
       real(DP), dimension(:, :), allocatable    :: xhp
 
@@ -60,12 +61,15 @@ module subroutine rmvs_getacch_tp(self, system, param, t, lbeg)
                               tp%xheliocentric(:,i) = tp%xh(:,i) + cb%inner(inner_index    )%x(:,1)
                            end do
                         end if
-                        ! Swap the planetocentric and heliocentric position vectors
+                        ! Swap the planetocentric and heliocentric position vectors and central body masses
                         tp%xh(:,:) = tp%xheliocentric(:,:)
+                        GMcb_original = cb%Gmass
+                        cb%Gmass = tp%cb_heliocentric%Gmass
                         if (param%loblatecb) call tp%accel_obl(system_planetocen)
                         if (param%lextra_force) call tp%accel_user(system_planetocen, param, t)
                         if (param%lgr) call tp%accel_gr(param)
                         tp%xh(:,:) = xh_original(:,:)
+                        cb%Gmass = GMcb_original
                      end associate
                   end select
                end select