diff --git a/docs/report/999.ipynb b/docs/report/999.ipynb
index c25f057c..e367a997 100644
--- a/docs/report/999.ipynb
+++ b/docs/report/999.ipynb
@@ -867,9 +867,6 @@
    "execution_count": null,
    "metadata": {
     "editable": true,
-    "jupyter": {
-     "source_hidden": true
-    },
     "slideshow": {
      "slide_type": ""
     },
@@ -915,18 +912,28 @@
     "sheet_colors = {\n",
     "    \"Unphysical\": \"red\",\n",
     "    \"Physical\": \"blue\",\n",
-    "}\n",
-    "\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-input",
+     "scroll-input"
+    ]
+   },
+   "outputs": [],
+   "source": [
     "Sn = go.Surface(x=X, y=Yn, z=project(Tn), **sty(\"Unphysical\"))\n",
     "Sp = go.Surface(x=X, y=Yp, z=project(Tp), **sty(\"Physical\"))\n",
-    "\n",
-    "Sn_cm = go.Surface(x=X, y=Yn, z=project(Tn_cm), **sty(\"Unphysical\"))\n",
-    "Sp_cm = go.Surface(x=X, y=Yp, z=project(Tp_cm), **sty(\"Physical\"))\n",
-    "\n",
-    "Sn_cm_conj = go.Surface(x=X, y=Yn, z=project(Tn_cm_conj), **sty(\"Unphysical\"))\n",
-    "Sp_cm_conj = go.Surface(x=X, y=Yp, z=project(Tp_cm_conj), **sty(\"Physical\"))\n",
-    "\n",
     "zeros = np.zeros(x.shape)\n",
+    "\n",
     "line_rho = go.Scatter3d(\n",
     "    x=x,\n",
     "    y=zeros,\n",
@@ -935,14 +942,6 @@
     "    mode=\"lines\",\n",
     "    name=\"Lineshape\",\n",
     ")\n",
-    "line_cm = go.Scatter3d(\n",
-    "    x=x,\n",
-    "    y=zeros,\n",
-    "    z=project(Tn_cm_conj[0]),\n",
-    "    line={\"color\": \"black\", \"width\": 4},\n",
-    "    mode=\"lines\",\n",
-    "    name=\"Lineshape\",\n",
-    ")\n",
     "\n",
     "threshold_point = go.Scatter3d(\n",
     "    x=[(m1_val + m2_val) ** 2],\n",
@@ -952,7 +951,6 @@
     "    marker={\"color\": \"black\", \"size\": 5},\n",
     "    name=\"Threshold\",\n",
     ")\n",
-    "\n",
     "fig_rho = go.Figure(data=[Sn, Sp, line_rho, threshold_point])\n",
     "fig_rho.update_layout(\n",
     "    height=550,\n",
@@ -968,22 +966,82 @@
     "    zaxis_range=[-vmax, +vmax],\n",
     ")\n",
     "\n",
-    "fig_cm = go.Figure(data=[Sn_cm_conj, Sp_cm, line_cm, threshold_point])\n",
-    "fig_cm.update_layout(\n",
+    "fig_rho.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "full-width",
+     "hide-input",
+     "scroll-input"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "import plotly.graph_objects as go\n",
+    "from plotly.subplots import make_subplots\n",
+    "\n",
+    "Sn_cm = go.Surface(x=X, y=Yn, z=project(Tn_cm), **sty(\"Unphysical\"))\n",
+    "Sp_cm = go.Surface(x=X, y=Yp, z=project(Tp_cm), **sty(\"Unphysical\"))\n",
+    "\n",
+    "Sn_cm_conj = go.Surface(x=X, y=Yn, z=project(Tn_cm_conj), **sty(\"Physical\"))\n",
+    "Sp_cm_conj = go.Surface(x=X, y=Yp, z=project(Tp_cm_conj), **sty(\"Physical\"))\n",
+    "\n",
+    "line_cm = go.Scatter3d(\n",
+    "    x=x,\n",
+    "    y=zeros,\n",
+    "    z=project(Tn_cm[0]),\n",
+    "    line={\"color\": \"black\", \"width\": 4},\n",
+    "    mode=\"lines\",\n",
+    "    name=\"Lineshape\",\n",
+    ")\n",
+    "\n",
+    "fig = make_subplots(\n",
+    "    rows=1,\n",
+    "    cols=3,\n",
+    "    specs=[[{\"type\": \"surface\"}, {\"type\": \"surface\"}, {\"type\": \"scatter3d\"}]],\n",
+    ")\n",
+    "\n",
+    "fig.add_trace(Sn_cm, row=1, col=1)\n",
+    "fig.add_trace(Sp_cm, row=1, col=1)\n",
+    "\n",
+    "fig.add_trace(Sn_cm_conj, row=1, col=3)\n",
+    "fig.add_trace(Sp_cm_conj, row=1, col=3)\n",
+    "\n",
+    "fig.add_trace(Sn_cm, row=1, col=2)\n",
+    "fig.add_trace(Sp_cm_conj, row=1, col=2)\n",
+    "\n",
+    "fig.add_trace(line_cm, row=1, col=2)\n",
+    "\n",
+    "fig.add_trace(threshold_point, row=1, col=2)\n",
+    "\n",
+    "fig.update_layout(\n",
     "    height=550,\n",
-    "    width=600,\n",
+    "    width=1200,\n",
     "    showlegend=False,\n",
     "    title_text=f\"{projection_text} part of T function with Chew-Mandelstam\",\n",
     ")\n",
-    "fig_cm.update_scenes(\n",
+    "fig.update_scenes(\n",
     "    xaxis_title_text=\"Re s\",\n",
     "    yaxis_title_text=\"Im s\",\n",
     "    zaxis_range=[-vmax, +vmax],\n",
     ")\n",
-    "\n",
-    "fig_rho.show()\n",
-    "fig_cm.show()"
+    "fig.show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -1005,7 +1063,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.18"
+   "version": "3.11.6"
   },
   "orphan": true
  },