commit 41a35adc3d29779b5aa1cfc0995fd45ff0c202ba
Author: Kelvin Ly <kelvin.ly1618@gmail.com>
Date:   Tue Mar 8 07:02:13 2022 -0500

    Add initial simulation notebooks and prototyping CAD files

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..87620ac
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1 @@
+.ipynb_checkpoints/
diff --git a/spyglass.ipynb b/spyglass.ipynb
new file mode 100644
index 0000000..d272292
--- /dev/null
+++ b/spyglass.ipynb
@@ -0,0 +1,310 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "6026a74b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib widget\n",
+    "\n",
+    "isdark = False\n",
+    "\n",
+    "from rayoptics.environment import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "c7d740ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "opm = OpticalModel()\n",
+    "sm  = opm['seq_model']\n",
+    "osp = opm['optical_spec']\n",
+    "pm = opm['parax_model']\n",
+    "\n",
+    "osp['pupil'] = PupilSpec(osp, key=['object', 'pupil'], value=16)\n",
+    "osp['fov'] = FieldSpec(osp, key=['object', 'angle'], value=1., flds=[0., 0.707, 1.], is_relative=True)\n",
+    "osp['wvls'] = WvlSpec([('F', 0.5), (587.5618, 1.0), ('C', 0.5)], ref_wl=1)\n",
+    "\n",
+    "opm.radius_mode = True\n",
+    "\n",
+    "sm.gaps[0].thi=1e10\n",
+    "\n",
+    "use_schyrle = True\n",
+    "if use_schyrle:\n",
+    "    sm.add_surface([246, 2, 'N-LASF9', 'Schott', 42/2])\n",
+    "    sm.add_surface([1e9, 290+36])\n",
+    "    sm.add_surface([1e9, 2, 'N-LASF9', 'Schott', 16/2])\n",
+    "    sm.add_surface([-30.6, 36+36])\n",
+    "    sm.add_surface([30.6, 2, 'N-LASF9', 'Schott', 16/2])\n",
+    "    sm.add_surface([1e9, 36+36])\n",
+    "    sm.add_surface([1e9, 2, 'N-LASF9', 'Schott', 16/2])\n",
+    "    sm.add_surface([-30.6, 36])\n",
+    "else:\n",
+    "    sm.add_surface([246, 2, 'N-LASF9', 'Schott', 42/2])\n",
+    "    sm.add_surface([1e9, 290+2*36])\n",
+    "    sm.add_surface([1e9, 2, 'N-LASF9', 'Schott', 16])\n",
+    "    sm.add_surface([-30.6, 36+36+36])\n",
+    "    sm.add_surface([30.6, 2, 'N-LASF9', 'Schott', 16])\n",
+    "    sm.add_surface([1e9, 96])\n",
+    "# add a focusing mirror\n",
+    "#sm.add_surface([30.6, 2, 'N-LASF9', 'Schott', 16])\n",
+    "#sm.add_surface([1e9, 36])\n",
+    "#sm.add_surface([-24.456, .975, 'N-SF5,Schott'])\n",
+    "#sm.set_stop()\n",
+    "#sm.add_surface([21.896, 4.822])\n",
+    "#sm.add_surface([86.759, 5.127, 'N-LAK9', 'Schott'])\n",
+    "#sm.add_surface([-30.4942, 41.2365])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "a26f0ff4",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d19fee53d0f74ee5a891e7a1016bb669",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "opm.update_model()\n",
+    "\n",
+    "layout_plt = plt.figure(FigureClass=InteractiveLayout, opt_model=opm, is_dark=isdark).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "85fd9885",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "efl                2071\n",
+      "ffl          -1.694e+04\n",
+      "pp1          -1.487e+04\n",
+      "bfl               293.6\n",
+      "ppk                1777\n",
+      "f/#               129.4\n",
+      "m            -2.071e-07\n",
+      "red          -4.829e+06\n",
+      "obj_dist          1e+10\n",
+      "obj_ang               1\n",
+      "enp_dist             -0\n",
+      "enp_radius            8\n",
+      "na obj            8e-10\n",
+      "n obj                 1\n",
+      "img_dist          293.6\n",
+      "img_ht            36.15\n",
+      "exp_dist          297.9\n",
+      "exp_radius       0.9782\n",
+      "na img        -0.003863\n",
+      "n img                 1\n",
+      "optical invariant       0.1396\n"
+     ]
+    }
+   ],
+   "source": [
+    "pm.first_order_data()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "8f39b24f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "dfcc24e9079f48f2b75810cacec1bb81",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img src='data:image/png;base64,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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# add a focusing mirror\n",
+    "sm.add_surface([100, 2, 'N-LASF9', 'Schott', 16])\n",
+    "sm.add_surface([1e9, 36])\n",
+    "\n",
+    "opm.update_model()\n",
+    "\n",
+    "opm.seq_model.gaps[-1].thi = opm.optical_spec.parax_data.fod.bfl\n",
+    "opm.update_model()\n",
+    "\n",
+    "layout_plt = plt.figure(FigureClass=InteractiveLayout, opt_model=opm, is_dark=isdark).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "fbb733ef",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "411188d34c444ee78cc316237b79915a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#spot_plt = plt.figure(FigureClass=SpotDiagramFigure, opt_model=opm, scale_type=Fit.User_Scale,\n",
+    "#                      user_scale_value=0.1, is_dark=isdark).plot()\n",
+    "abr_plt = plt.figure(FigureClass=RayFanFigure, opt_model=opm, data_type='Ray',\n",
+    "                     scale_type=Fit.All_Same).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "95deb34e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f172bd8c715148d495c13c1590d59a90",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#spot_plt = plt.figure(FigureClass=SpotDiagramFigure, opt_model=opm, scale_type=Fit.User_Scale,\n",
+    "#                      user_scale_value=0.1, is_dark=isdark).plot()\n",
+    "spot_plt = plt.figure(FigureClass=SpotDiagramFigure, opt_model=opm, is_dark=isdark).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a6ed5037",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d6099313",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4b96dd72",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/spyglass_v2.ipynb b/spyglass_v2.ipynb
new file mode 100644
index 0000000..235c8e0
--- /dev/null
+++ b/spyglass_v2.ipynb
@@ -0,0 +1,300 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "id": "6026a74b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib widget\n",
+    "\n",
+    "isdark = False\n",
+    "\n",
+    "from rayoptics.environment import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "id": "c7d740ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "opm = OpticalModel()\n",
+    "sm  = opm['seq_model']\n",
+    "osp = opm['optical_spec']\n",
+    "pm = opm['parax_model']\n",
+    "\n",
+    "osp['pupil'] = PupilSpec(osp, key=['object', 'pupil'], value=16)\n",
+    "osp['fov'] = FieldSpec(osp, key=['object', 'angle'], value=0.5, flds=[0., 0.707, 1.], is_relative=True)\n",
+    "osp['wvls'] = WvlSpec([('F', 0.5), (587.5618, 1.0), ('C', 0.5)], ref_wl=1)\n",
+    "\n",
+    "opm.radius_mode = True\n",
+    "\n",
+    "sm.gaps[0].thi=1e10\n",
+    "\n",
+    "def calc_curvature(n, fl):\n",
+    "    return (n-1)*fl\n",
+    "\n",
+    "n_lasf9 = 1.85025\n",
+    "# try for chaining a 3x telescope setup with a second 3x telescope setup\n",
+    "f0 = 300\n",
+    "f1 = 100\n",
+    "f2 = 150\n",
+    "f3 = 50\n",
+    "\n",
+    "f1_stacked = 2*f1\n",
+    "\n",
+    "r0 = calc_curvature(n_lasf9, f0)\n",
+    "r1 = calc_curvature(n_lasf9, f1)\n",
+    "r2 = calc_curvature(n_lasf9, f2)\n",
+    "r3 = calc_curvature(n_lasf9, f3)\n",
+    "\n",
+    "sm.add_surface([r0, 2, 'N-LASF9', 'Schott', 42/2])\n",
+    "sm.add_surface([1e9, f0+f1])\n",
+    "sm.add_surface([1e9, 2, 'N-LASF9', 'Schott', 16])\n",
+    "sm.add_surface([-r1, 0.])\n",
+    "sm.add_surface([r2, 2, 'N-LASF9', 'Schott', 16])\n",
+    "sm.add_surface([1e9, f2+f3])\n",
+    "sm.add_surface([1e9, 2, 'N-LASF9', 'Schott', 16])\n",
+    "sm.add_surface([-r3, f3])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "id": "a26f0ff4",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "26bad7089f9349d18e7c2d2c09b077d9",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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7+fniFZ/f/V0cjmvdnHZdZrGKw3OKm6NhN/ZwXr6qOPwJh09cceNzh2vrDv9l5e5nLGvwIsqi3P3sZe/2aZpy2Us+dl9fFuXu37Vbxxcxh/u43wA4GEE83ADYT3n1+73eD6bDpxHJw42JZVLss1tHxkd7aSRq94mPHqmNeMWygTs2HX04XVy8dO68I9bQxZeu3413jh/FV69/Fj8+/XL05euZNj28fy/35eLwPnnw8Y3Ty+VbNpaLeb1hLMelXe6LBxved+qa57N287578Jwxv1+Cuzy4fZVFEduui/rqSfRVFe3xo3jQlHFzYyTi4N3O+CEbKa8ai3vpUeAjHhcOB1o+7Ocsjy1930W9TIXdliIi/t/J1+N7D74Vq2Edm+ru7IjBF8znPzjw6RXzm9ki7rox4vHqnXh/dRE/WL0bz5uTWFf3bvtSwWejijgr3o/n9VnU4zY2xQvt8gbs2lD/0fOvxV/5E3/h1i7Ab//X/xB/414V//nqf8bvnf3Z+K1vfOnWLgu3Y5o6H6Id2vkQPP1ux5Ju3tu567vYDl1s2m1cd+vYdm1suna3V3M7zIfdmafr+4MRsmE3BX43RlU+bOj+xihLMX90y9Pky5bw7jIVh1NOZVTlfu/kZappmUJqmoMpp7KKqq72ex+X0/RSXde7w+0sex9XdXUn1kf1/RB9t59y2k8hDdH1bfTdcONQK/3QT1NN7bT+9HCaqe/nac5+eHnJx+EOKJ/jKO5+JP1gVDz2Ixy7nXLm97udN+ZDK+0OiF/VUVd1/PDt70d53cbl9n/HX1q18e31/fiTv/z16Ptuf9+cp3b7/mCZzMFymn7od8d2HV+4/y734ZeP9TpdcXfhvs2HOzx2cFXO09Tz3tur+UUTVvORBprlUF1NvdvLvCyrKKtiOqzX7jFnetwp6yrqefZlGdXt+yH6ftnzfpwPh3Qw9bvcDoflfb9f973cd/vleWWIYfnacTp9vb6O5vmz6Koqtidnca98cQZgmv4Zl1dXizFiuW1Pax92M0LL8qvPe0e0uiqr+OaXv/45/sqbiuooHp/ei9VmE/3RW7d6WZgMwxRj63Y61uF0zMNtrLtttN10/lW7nt62V/G8Xce6nT/fb6e9g+c9fJcH/n7Za/fgxp71IfvwX13EuJ8m3E0zzFPL5cGant1anmr3ANk00/EHV6tVHM1vTd1MB+tu6t2D6VGzml6RZrWKo2Y1vRpN08Tq6NiejW+YYRhi23XTAZjnQ8xstm1s201stm207XIcwC7arp1Ob9v5kDTtfN7BYWm6OVz7/VqoYV6DNx0zcL82OOLF6aubyqGPr7Q/i+fVRfzeB+9Gc1rFf//B//qF/l3L7f/w9H7ad46Hct7oODze5xwBxbyH+LTWbTm80f64nst95fCYn9Phj6b30/1qf0ikZn6rquVVmub1bvX0/Z/0gPbdfLDtzXod6810kO2rzTqur67jan0d68061tttbJeDbm+XYzsu/2f9HNTzXtHD8OoNiTtoH/F354UVdre4w+VH87qdG8sNXnhblg6NRRl9UUVVTGsXdy+fe/Bvvcvq2z/kRBHdZ7OD2BdGPwyx7bex6aa3dbeNbb+Nq80mnrfXcd2u47rdxFW7juvtdVx321h3m9h286FZhv0hV/Y7wQx3cnTss3Rjcfs8mrXcmcuynA45srwdPkHMW6ir1SpWq1Ucr1a7uFo1dTTNKlZNM7+tommm2FqtmjhaHcXxarV7woBPoyzLOJ5vg3dJ13XxT/7pb8cfFl+KcXwv/uqv/fH4R3/QxT/4jb/t4OgH6rKM+vg4To+Pb+X3LxsQ6/U6NnOArreb+RiWy8bENrbz+6v1Oq6uruLqejrQ+LRxsZ1Hvfej2W+ql3dIHF+5POhVB1UaY4x7w3V01Wm02+sYo9g9i97la6Qsy2jqOo6PjqOe9rK6PUVRRvuG3YD6oYtN18am28R1u41n26t4vr2Oq+06rtrrWLebWLfbKcy6zRxs00ja4ejY4R7FL+69+0WxbEVNLz1XHhzbbXn5uf2oVl1Ph1Ko6yaO5ng6HNXavRRd09wY1VrNwXW0WhnVgluwHNZkLKoYo4iiWcVYDLcWOrzabW9AXF5dxQ9++IP40dt/GO+8/1588PQynj17FtebdbRtu9sT9675sKwrDnYZuq2dh5ZXvVo1TZyenMT5g7N46/FFXDx8GBePHsVbjx/HxeOLVw5A3PozZVmWsf2U/+Ftv42r7TouN8/jcnsVzzebuNo+j8vtdVxtruOq3cS6W8d693Ju7bSuZ+z205OHIbY7zMmbF2JFxI3pkWXtRF2VL6y3mke1mnmk6ugoVvUqmmY/qrWsw1jNI167Ua1mFaujo1gZ1QJmJ8cnsX36LMqo4p99753oi4e3fZG4Yx6cnsa3fvWb8a1f/ebH+r5uGOLy6dN47+kH8eTpZTy9fBpPnj2L9z/4ID54+iSurq9js91G1/Wf+6jk+Au8kMV+BPGjq2IZMNkfnPxePD6fYu7i8aO4ePg4vvzWW3H/9NO/qk3xG3/vH49fvncRu+O9xX5X4t3U4MGo6P6QEy8uWt7PeR+u8VqOmbME1Y3jwY1jPG838ZX1+/He6n5cVadxUnTz1GS8UVOThy/XVc0vzVXNa0+W0anjo+M4OT6O46OjaSRrGdk6HNVaTh+tboxqfZL1JgCfp1//l9+LP/3Vac/f3/3J8/jnf+0bt3yJyG69Xsf7T57E+0+fxJOnT+Pps2fx5PJpfPD0aTy7eh7X62n0seumtZUfJx6Pu3VsylWMH/HcvOz40jRNHB8dx/n9+3Hx6HFcPH60O2D4xeOLz31ktvhbv/n3b7evxiHKORCHsvpEe07f3LNoWgjczCNXx6ujOD46jtOTo7h/716c3TuL05OTOD09mUa/bkwfGtUCgOy6YYhnl5fx3pMn8eTySTy5fBZP53B8enkZl8+fx4+fF1FXEb983sTDs2nq9fH5w3jr8aP40uOLeHT+8E4P3BT/4nf+09h23X4PqqKMoqqiLosoqzqqatoLsanrKMr9mq2yKqPZ7T01TTM2dRNVXe9eW7HeTUHe3SsAACCb4t3L4U2YYQUA4DUxNAcAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGQEIABAMgIQACAZAQgAkIwABABIRgACACQjAAEAkhGAAADJCEAAgGT+P37UxpTAGn/qAAAAAElFTkSuQmCC",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img src='data:image/png;base64,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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "opm.update_model()\n",
+    "\n",
+    "layout_plt = plt.figure(FigureClass=InteractiveLayout, opt_model=opm, is_dark=isdark).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "id": "85fd9885",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "efl                3150\n",
+      "ffl          -2.934e+04\n",
+      "pp1          -2.618e+04\n",
+      "bfl                 419\n",
+      "ppk                2731\n",
+      "f/#               196.9\n",
+      "m             -3.15e-07\n",
+      "red          -3.174e+06\n",
+      "obj_dist          1e+10\n",
+      "obj_ang             0.5\n",
+      "enp_dist             -0\n",
+      "enp_radius            8\n",
+      "na obj            8e-10\n",
+      "n obj                 1\n",
+      "img_dist            419\n",
+      "img_ht            27.49\n",
+      "exp_dist          449.6\n",
+      "exp_radius       0.8592\n",
+      "na img        -0.002539\n",
+      "n img                 1\n",
+      "optical invariant      0.06981\n"
+     ]
+    }
+   ],
+   "source": [
+    "pm.first_order_data()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "id": "8f39b24f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "beae298e1392473d90e2d84cf417a989",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
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+       "                </div>\n",
+       "                <img src='data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAA9hAAAPYQGoP6dpAAAaOUlEQVR4nO3dS49k6ZnQ8edc4pKXqsys6u7xuG0G22DQSCxASMyGWbADsWPDFiGExJodMwsE4iIkWPAFWMBuxHwBhBAsWABCiDGWx8Zj47HH7e6qrntGnCuLcyIysi6ebru6srqf30/KjMjMiMxTlXH5x/u+52Rx7/EwBgAAaZQ3vQEAALxZAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMkIQACAZAQgAEAyAhAAIBkBCACQjAAEAEhGAAIAJCMAAQCSEYAAAMnU/+53/310fRfDGBFjH8MwxjhGDDHE2I8RETGMQ4wxxjiOMQxDxBgxjmOMMZ+OEWNMnx/GMWIcYoyIGMdrl7u63nz+8DQiirKMqiyjqupY1HXUdRXLehnL5SJWi1Ws1ss4Wq3i+Pg4To9P4vjoKI7W61iv1nG8XsdytYq6rqMudS0AwKvU//s7377pbYiIiGroYiyKGIrqpjfllYqIiKKYzhdFFEURZVFEWZZRVdX0VpZRlVXU1RSw9aKOuqxjsayjrupYLOpY1ItYLhaxXCxjuahjtVrHerWKRV3Harm8CuDF9H0W9SLquo5lXUdd11EKXADesP/4X/5T/Of/9t/jL/3mX4u/+hd//aY3h09oGIb42b178b/+z+/F9374g7h3/+PYNNuoL9a34mvn70dRzkETRZRFNQdORFUUUUQZZVFEUZTzZeaP5+tUMY3cTUE0nVZFNcVRUURZTpcpyjLKooy6KKMoi6iiiqIs43e+96249fCH8bTs4/dP/nz8rS8fR9Nu47LdRjO00XRtbPsuuqGNtu+i7bvohj66oYt+GKIf++j6IYaxj34cYhjHaQRzHGM4GHEcxjGuxht3p5/cblRzOplO+9f2K3qzdjFbRBFRvBi0RUSUVRVlUUZVTVFbVWXUVR1VVcdyUcdicRWyi8UilsvpfFVVUc9BvKjnGK6moN3HbVVNYbuoY1HVUS8W+9FbgcvnQdM08WyzicvtZWwut7HZbmPTbGKzbWLbNLHdbmPbTJ+/3Gxi22xju22iadvouulxrO/7GIZhfhv3My2xm0mZH2eKImIs5vtVXceyXsR6vYrT45M4v307zm+fxa3Tkzi7dTvOb9+Oi/OLOF6vb/h/iC+a7//gB/FsW8bv/NdvCcC3xLNnz+Lb3/1u/N53vxMffPRhPH7yJNqu+0TXrd+/9V787d/4G5/xJv58v/vDP4iT1Un04za646/GX/lT37jR7RmGIbqxi7Zvo+37aPrd+S6aoY22mwK07ec47drY9ttoujY2XRtt38a228a266Id2vmy03X6fbQOc6wO0Y9jjOMQQ8yn87R5zPH6aUP1kzj8/p/JD3jDit374iBuiyKKiH3YFmUZRVFGVR6M2pZVlFUZi/pgpHWxmJ5k5xHbuq73l63noK2q6XxVVVPA1leRW5dXI711VU3fo6qjXi4tT/iMDMMQTdPE5WYTl9vpbbOZ4mvbbOcgm6LscruZgmy7jW3bRNt20fVddN1835yDbByGgyUub/5OUo1D3Goex9PFSdR9F88Wx9H1fXR9H9vtNh4/fRIf3rv3ib5XURRRlWXUdR3r1SqOj47i9umtOL99Fme3b8Wt09M4v3UWF+dncXb7zO2UVxrGRRy3D256M77Qmq6Lj+59FD/+6U/jD370/+JHP/lJPHzyONq23b8ofB3qt+G5fxiGqIvirQmRsixjGctYVsub3pRr+qGLZuii6bro+nY+PwVm17fR9P0UnAejpFOkdtH0bbRDF93QzaOo0wjqdN0u2qGPfuijm0dT+7GLYbgeqcM4zIE6R+tn9AsrDs5/0p+wG9Xd9+xrvJPcpGJftK8I293IezmNypdzqE5raafR1F2w7qJ1H6iLRdRlFXW9mEZ356Ctq8PIreeR3Gnk9nAEt168ennCMAyx2cXYZhNPLy/jcnM5B9p2iq/tFGjPNpvYbLfRtk00bRdt10bf9/vRsX4fYtfXDL/tiph/fzHNpuxmR4r54yKeO1/sLjtd63L7OCIWUYxjrMsqHlWn8d6ijNitx45phqPv+xj298vpheTzxnHcx+Nmu40Hjx7FTz744BP+O4ooqzLqqorlYhnHR+s4v30W79y5ExdnZ3F++yzOb9+OO2fncXx8/Pr+A3krlWUZRb+96c343OmGIe7dvxcf3rsXH96/F3/4kz+Kn370s2nErm1v5FGtfp01+YvqhyHKa0/7vExV1nFU1nFU3/SWXDkcLW26KSSfHy2donQ3CtpdG1HdxWg7dHOIdlOIzqOm0/T+NLXfD/1+5LQfpxGa3eeHw6n/1/jvKw7e784VsQvOV91mx4P3rzr3yRyO0H6RwjaDqwUn0++wH4dPdf1q6KMeN1GNVTTjEIv+SXz8C6452d2Oi/mDIornRhKubtWHC2ViPr8L8m3TxOOnT+KDjz6K73z//37inz+9EKliuVzG6dFxnJ6cTBF592585Uu/El/50pdjbcr6c6GMMoqxvenNeCsMwxAPHz2KD+59GB/eux/3Pr4ff/hHP437Dz6ObdNEP7z5RWJVWcZiuYzjo6M4P70VX3rvvfjm174ef/JP/Fqsl9cHteq34dX0GONrPR5NPwzznsvTyEG/G7kaYh7l6qbzYx/j0Ec79FM8jNN6wmEcou+vRr+GcZxHIfrox9ivNdztFT3EOH+vcR4p66cHzeFqHeIwjjGOfQzzHtP9sNtDehpNixjnPbCnz+3WLk6jbld7Tw/7Pauv1gsNUxnM/+bd+sRxf70hpieea3tuzw/z097f49WD/sH5cR8e4/7JYr+C8oWPDz4ar25V155IxqsnmP1Xr9383oZb43WvTrkXP4KXKV54H/P6232S7dfgTiO708vhvh2ij0WMUcSiqKIr1nFWT6G2exwYDh4X4ue8ALp2b71698IlPivDMEQzDNG0bTx5+jTiow9f2/ferVcuYlpvXpa79ebzUo95XfF+PXN1NdI9Leu4WrKxWCxiMY9k73fkm0+rane+fnFEfFHFsl7M65pfz3rmYRiiG4bomiaarou+n2d82n56YT2PlLfdtHxhWsYwhfrufDevM91dpu3aaclD100vrId+H/d9P7+YHuYX0/PpeDAC3zXbuL15FrE+jd/6F/9sv1Pky34nL3xUvOQlc/H8S+xf8PMR8wj64U98cX37tB9DXJ0vrz5fltOI/DCO0wxZ20TbToMXXdffSMyVZRnLxSJOjo7j7sV5/Mo778b7v/rl+NX33ouL22e/9E6hxd/77X86LqtFRLx4WJYXptUO379kKubaxy/9+nPn9tN1Q9zd3I8Hy7Noq0WULzzt8ia95G507R5XvOTud3Xnu/7Vw+91df/cP+3tP/f8Gr7i4Pxusmz6OVfX3/3M/en+++0uv5tee8nXdg8IETHd0qYn1nEsrkXu88Hbz8E/jPOLhmF60h3mFwT7SJ+jeRyv7k1uz3wa1dDFxeZBPF0cRxljPFmc/NLzJPt7UnH9Plg8d08bpw8OHqoPXlRGxDiPZr7e8XZu2vMvVq6WLEy3i2Ho4nTzJB6uTmO1XF1d8bkX8jvD4Sv88VU98Lznnv9fcsGXFcLLBhj++J+VW90O07TbTSpijB+tvx7fP/lmLIdNbKujG90evqDGV5z/NKyN5w0pxjHOlh9HUy5iWx1HPTYeG7lZY8R5fT829So21clNb83P9V7z43iv/fFNb8Zbrf76+fvx13/9N290I/7Nt/5H/Lntz+Ibw7fj27d+I377T797o9vDdcMwTuv5duv1+nbemWRau9d2bWz7JjbdNjZtE00/7Rm9e3FxeLie3fT8fgprP71shOx510ZBd1OE+6mMeceP56a26v3OHvNUVVXPX6untSH11c4d9cHpYr8X89txnMlhGGLoh2j6LrqDHUN2U1ddfzW91XfT7Wq3J+803TVdZhh2O5OMMeyWehzu3Xt40PrD08/Y9RHwq51B9lNTUUTfXsZ6exlNVce6GOKnq3fjom+vdojZj8g9v6fyeH1JBp9b+1G4gynLuqqmqe2iiHK+f++nq+s6yrKa9uIuipfMjkQcjp9Na0EPlv+M4zQNGmPs/qDDNA083W9+9rOfRvVkE49W6/jyuxcxDmN0wzDdt4Z558C+n5ZC9f3VkqX9bfbzoaqqWC1XcXq0jtu3bsedi4u4dXK6/7+f3qblGlVR7pcdFEW8FY+fn1RdFlX8mfe+fqMbsf7e78dyeBLL4TL61Ts3vj1vu7bvoum3se2a2LTtFFx9E5fNJp42l3HZbuOy28TTZhOXzWVsuiY2XRtN30xPqHOUTXv7HuxAcTB1meHJ44UDe++mw4qrdUTVvGdtPR8upp7X/Ex70S5jNR/7cLVYxmK5mNYBLXZv0yFlVovVdLpaxmq5jMViGevl0kG9P4e6rotN08S22UbTNtFs22ja6bh/TdtG27bT6bzWqu3a2DZNbJom2t1lduuwdgF7uPZqt+5qXrc8jmNEEfN65Ihu6KbbajmvW5oPb3S43m065Et1fb1befXC4HC92/4Fww2vd/tUv4NhiGazictmtyf51TEXt20TTdPMx2LcznuiXx0OqG2v/u+73dq3+ZA/u3WUb9Pj3n5N9zhGxBDRR7Ttze2AUQ593B0exuVYxgcffXRj2/GLKCJisVjEyclJfOmdd+PX3v9KfPX9L8f7730p7Q5Ib8VOIEVRRP8WbMcvYrcX7Ladjv236Zp42l7G0+1lPG2exWW3jctmG5fdNjbzwa23XRPbvplDbj6My7yH67DfgeXgz+h9Tv9vXmYXXeXBAtxy/6R18BdVDkaldgecXi2XsVqtYlkvpz8TuFwc/FWVRSyX0wGpV4sptFbLZSxXq1g6/h6vSV3XcVrXcfoGDnfyT/7lP48P451YxaP46mkR/3P1F+Jf/92//Jn/3LddXZZRHx/f2CFndsec3Gy3cdls5uNLNrFptvHs2WU8evo4njx+Eo8vn8bjJ0/i8tkmtu0Un/1wNfvxeTW+YsePm1CVZSwWi/m4lqdx9+JuvHPnIu6cncfF2Xmcn53F7dPTm97Mt1b9NhxWoi7reU/YX94wDNEObTxrLuPR5mk8aTbxtH0Wl81lPNlu4llzGZfdZhola7ex7Zv9dOXuuHjDOB2Vfx9iL0yxfL5cGyU4OFbcdIy350e1plGs1XI1jVbNo1q7AyQvlotro1rL5RReq+XKqBa8RsMYURTbGCLig00Xsfpjr8IbUJZlrNfrWK/XcR5nr/37d10XDx8/ivsPH8a9jz+Oe/fvx72HD+LBw4fx9Nmz2Gy30fXdfinDm9YVVYyfUQOWRRlVXcVquYyTo6M4u30W7965E3fOL+Kdizvxzt07cXH7zHPMa1L8/X/4r8Y/+97X5kMIjPs/l7b/s2njOB1EZBwPhsgPvh4He/qMw/XLTmf3ERUHMXX1/SM+3F7G+dMP48liHY/q23FeTseCm7ZniMPDl3xeMmy319R+KrEsY1HVsVhOUy+r5TJWi1WsV8s4OjqK1WKKp92o1m76cLlYToE1j2rtRsKW67VRLfgC+94PfhD/+D98LyLKeNoVsTp/P/7t3/zmTW8Wb7Fnz57F/YcP4sGjR/Hw8eN49ORxPHz0KB48ehRPnz2Ly80mmraZDx7+6Uciy6GP5dDGZbV+1RFgrpkOzVPGYjH9BZrTk5O4c34R7965Exfn5/Huxd14984dBxC/IcXf+Qf/6K3oqXI+xk5fVr/8oQ72i+Wn8Krq6a8drOdpwvV6HSdHR3FychK3jk7i+Pgo1uv1vJ5rNZ3Oo1rL5TKWRrUA+ILqui4ePnkcHz94GA8eP4zHT57Ew0eP48Gjh/HoyeO43Gxi0zTRbLZxOVYxlnVcrCKO10dx+9atePfO3bhzfh53Ly7i3Tt34+7FRdT1W/QXC3ip+ptf/0b0XbdfhzUtgN+tyyqv1mfNB0rc7QFTFVUU1VVkTdOKZVRVEeX8R8vLsoqyLKLa7bVU11EV8zqveeFwXddRlUUsF8s4OT194UjVAMBnp67ruHt+EXfPL256U3iDinuPh7diBBAAgDfDvCYAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyQhAAIBkBCAAQDICEAAgGQEIAJCMAAQASEYAAgAkIwABAJIRgAAAyfx/ETQOLvhMtfIAAAAASUVORK5CYII=' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# add a focusing mirror\n",
+    "sm.add_surface([100, 2, 1.85, 16])\n",
+    "sm.add_surface([1e9, 36])\n",
+    "\n",
+    "opm.update_model()\n",
+    "\n",
+    "opm.seq_model.gaps[-1].thi = opm.optical_spec.parax_data.fod.bfl\n",
+    "opm.update_model()\n",
+    "\n",
+    "layout_plt = plt.figure(FigureClass=InteractiveLayout, opt_model=opm, is_dark=isdark).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "id": "fbb733ef",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "efec6b585173434a93069cda7ba4eb52",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#spot_plt = plt.figure(FigureClass=SpotDiagramFigure, opt_model=opm, scale_type=Fit.User_Scale,\n",
+    "#                      user_scale_value=0.1, is_dark=isdark).plot()\n",
+    "abr_plt = plt.figure(FigureClass=RayFanFigure, opt_model=opm, data_type='Ray',\n",
+    "                     scale_type=Fit.All_Same).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "id": "95deb34e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "436011cced3d47cda290e22cb3b952d5",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "image/png": 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",
+      "text/html": [
+       "\n",
+       "            <div style=\"display: inline-block;\">\n",
+       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
+       "                    Figure\n",
+       "                </div>\n",
+       "                <img 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' width=640.0/>\n",
+       "            </div>\n",
+       "        "
+      ],
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "spot_plt = plt.figure(FigureClass=SpotDiagramFigure, opt_model=opm, is_dark=isdark).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a6ed5037",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f620bda5",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/stl/stand-42mm_33m_0.2mm_200C_PLA_ENDER3.gcode b/stl/stand-42mm_33m_0.2mm_200C_PLA_ENDER3.gcode
new file mode 100644
index 0000000..bf5e34d
--- /dev/null
+++ b/stl/stand-42mm_33m_0.2mm_200C_PLA_ENDER3.gcode
@@ -0,0 +1,11369 @@
+; generated by PrusaSlicer 2.3.3 on 2022-03-06 at 14:58:49 UTC
+
+; 
+
+; external perimeters extrusion width = 0.45mm
+; perimeters extrusion width = 0.45mm
+; infill extrusion width = 0.45mm
+; solid infill extrusion width = 0.45mm
+; top infill extrusion width = 0.40mm
+; first layer extrusion width = 0.42mm
+
+M201 X500 Y500 Z100 E5000 ; sets maximum accelerations, mm/sec^2
+M203 X500 Y500 Z10 E60 ; sets maximum feedrates, mm/sec
+M204 P500 R1000 T500 ; sets acceleration (P, T) and retract acceleration (R), mm/sec^2
+M205 X8.00 Y8.00 Z0.40 E5.00 ; sets the jerk limits, mm/sec
+M205 S0 T0 ; sets the minimum extruding and travel feed rate, mm/sec
+M107
+;TYPE:Custom
+G90 ; use absolute coordinates
+M83 ; extruder relative mode
+M140 S60 ; set final bed temp
+M104 S150 ; set temporary nozzle temp to prevent oozing during homing
+G4 S10 ; allow partial nozzle warmup
+G28 ; home all axis
+G1 Z50 F240
+G1 X2 Y10 F3000
+M104 S205 ; set final nozzle temp
+M190 S60 ; wait for bed temp to stabilize
+M109 S205 ; wait for nozzle temp to stabilize
+G1 Z0.28 F240
+G92 E0
+G1 Y140 E10 F1500 ; prime the nozzle
+G1 X2.3 F5000
+G92 E0
+G1 Y10 E10 F1200 ; prime the nozzle
+G92 E0
+G21 ; set units to millimeters
+G90 ; use absolute coordinates
+M83 ; use relative distances for extrusion
+; Filament gcode
+;LAYER_CHANGE
+;Z:0.2
+;HEIGHT:0.2
+;BEFORE_LAYER_CHANGE
+G92 E0
+;0.2
+
+
+G1 E-5.00000 F3600.000
+G1 Z0.200 F9000.000
+;AFTER_LAYER_CHANGE
+;0.2
+G1 X80.552 Y98.982
+G1 E5.00000 F2400.000
+M204 S500
+;TYPE:Skirt
+;WIDTH:0.42
+G1 F1200.000
+G1 X81.029 Y98.636 E0.01848
+G1 X81.560 Y98.378 E0.01848
+G1 X82.126 Y98.217 E0.01848
+G1 X82.713 Y98.156 E0.01848
+G1 X132.769 Y98.156 E1.56948
+G1 X133.410 Y98.218 E0.02018
+G1 X134.023 Y98.399 E0.02004
+G1 X134.591 Y98.692 E0.02004
+G1 X135.097 Y99.090 E0.02018
+G1 X135.518 Y99.577 E0.02018
+G1 X135.837 Y100.131 E0.02004
+G1 X136.046 Y100.735 E0.02004
+G1 X136.138 Y101.372 E0.02018
+G1 X136.141 Y141.624 E1.26206
+G1 X136.050 Y142.316 E0.02188
+G1 X135.817 Y142.978 E0.02202
+G1 X135.454 Y143.575 E0.02188
+G1 X134.977 Y144.084 E0.02188
+G1 X134.500 Y144.430 E0.01848
+G1 X133.970 Y144.688 E0.01848
+G1 X133.403 Y144.849 E0.01848
+G1 X132.817 Y144.909 E0.01848
+G1 X82.742 Y144.910 E1.57005
+G1 X82.031 Y144.829 E0.02245
+G1 X81.352 Y144.600 E0.02245
+G1 X80.737 Y144.234 E0.02245
+G1 X80.213 Y143.745 E0.02245
+G1 X79.868 Y143.268 E0.01848
+G1 X79.612 Y142.742 E0.01834
+G1 X79.450 Y142.180 E0.01834
+G1 X79.388 Y141.598 E0.01834
+G1 X79.388 Y101.506 E1.25708
+G1 X79.468 Y100.799 E0.02231
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+;15.4
+G1 X96.397 Y140.165
+G1 E5.00000 F2400.000
+;TYPE:Perimeter
+;WIDTH:0.45
+G1 F900
+G1 X119.133 Y140.165 E0.76958
+G1 X119.133 Y140.901 E0.02491
+G1 X96.397 Y140.901 E0.76958
+G1 X96.397 Y140.225 E0.02288
+G1 X95.990 Y139.758 F9000.000
+;TYPE:External perimeter
+G1 F900
+G1 X119.540 Y139.758 E0.79714
+G1 X119.540 Y141.308 E0.05247
+G1 X95.990 Y141.308 E0.79714
+G1 X95.990 Y139.818 E0.05043
+G1 X96.390 Y139.767 F9000.000
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X98.990 Y139.810 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 X118.929 Y140.533 F9000.000
+G1 E5.00000 F2400.000
+;TYPE:Gap fill
+;WIDTH:0.371684
+G1 F900
+G1 X96.600 Y140.533 E0.61040
+;LAYER_CHANGE
+;Z:15.6
+;HEIGHT:0.200001
+;BEFORE_LAYER_CHANGE
+G92 E0
+;15.6
+
+
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X99.600 Y140.533 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 Z15.600 F9000.000
+;AFTER_LAYER_CHANGE
+;15.6
+G1 X96.397 Y140.165
+G1 E5.00000 F2400.000
+;TYPE:Perimeter
+;WIDTH:0.45
+G1 F900
+G1 X119.133 Y140.165 E0.76958
+G1 X119.133 Y140.901 E0.02491
+G1 X96.397 Y140.901 E0.76958
+G1 X96.397 Y140.225 E0.02288
+G1 X95.990 Y139.758 F9000.000
+;TYPE:External perimeter
+G1 F900
+G1 X119.540 Y139.758 E0.79714
+G1 X119.540 Y141.308 E0.05247
+G1 X95.990 Y141.308 E0.79714
+G1 X95.990 Y139.818 E0.05043
+G1 X96.390 Y139.767 F9000.000
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X98.990 Y139.810 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 X118.929 Y140.533 F9000.000
+G1 E5.00000 F2400.000
+;TYPE:Gap fill
+;WIDTH:0.371684
+G1 F900
+G1 X96.600 Y140.533 E0.61040
+;LAYER_CHANGE
+;Z:15.8
+;HEIGHT:0.2
+;BEFORE_LAYER_CHANGE
+G92 E0
+;15.8
+
+
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X99.600 Y140.533 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 Z15.800 F9000.000
+;AFTER_LAYER_CHANGE
+;15.8
+G1 X96.397 Y140.165
+G1 E5.00000 F2400.000
+;TYPE:Perimeter
+;WIDTH:0.45
+G1 F900
+G1 X119.133 Y140.165 E0.76958
+G1 X119.133 Y140.901 E0.02491
+G1 X96.397 Y140.901 E0.76958
+G1 X96.397 Y140.225 E0.02288
+G1 X95.990 Y139.758 F9000.000
+;TYPE:External perimeter
+G1 F900
+G1 X119.540 Y139.758 E0.79714
+G1 X119.540 Y141.308 E0.05247
+G1 X95.990 Y141.308 E0.79714
+G1 X95.990 Y139.818 E0.05043
+G1 X96.390 Y139.767 F9000.000
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X98.990 Y139.810 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 X118.929 Y140.533 F9000.000
+G1 E5.00000 F2400.000
+;TYPE:Gap fill
+;WIDTH:0.371684
+G1 F900
+G1 X96.600 Y140.533 E0.61040
+;LAYER_CHANGE
+;Z:16
+;HEIGHT:0.2
+;BEFORE_LAYER_CHANGE
+G92 E0
+;16
+
+
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X99.600 Y140.533 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 Z16.000 F9000.000
+;AFTER_LAYER_CHANGE
+;16
+G1 X96.397 Y140.165
+G1 E5.00000 F2400.000
+;TYPE:Perimeter
+;WIDTH:0.45
+G1 F900
+G1 X119.133 Y140.165 E0.76958
+G1 X119.133 Y140.901 E0.02491
+G1 X96.397 Y140.901 E0.76958
+G1 X96.397 Y140.225 E0.02288
+G1 X95.990 Y139.758 F9000.000
+;TYPE:External perimeter
+G1 F900
+G1 X119.540 Y139.758 E0.79714
+G1 X119.540 Y141.308 E0.05247
+G1 X95.990 Y141.308 E0.79714
+G1 X95.990 Y139.818 E0.05043
+G1 X96.390 Y139.767 F9000.000
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X98.990 Y139.810 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 X118.929 Y140.533 F9000.000
+G1 E5.00000 F2400.000
+;TYPE:Gap fill
+;WIDTH:0.371684
+G1 F900
+G1 X96.600 Y140.533 E0.61040
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000;_WIPE
+G1 X99.600 Y140.533 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+M107
+;TYPE:Custom
+; Filament-specific end gcode 
+;END gcode for filament
+G1 Z18 F600 ; Move print head up
+G1 X5 Y182.4 F9000 ; present print
+G1 Z86 F600 ; Move print head further up
+G1 Z150 F600 ; Move print head further up
+M140 S0 ; turn off heatbed
+M104 S0 ; turn off temperature
+M107 ; turn off fan
+M84 X Y E ; disable motors
+; filament used [mm] = 1481.58
+; filament used [cm3] = 3.56
+; filament used [g] = 4.42
+; filament cost = 0.09
+; total filament used [g] = 4.42
+; total filament cost = 0.09
+; estimated printing time (normal mode) = 32m 47s
+
+; avoid_crossing_perimeters = 0
+; avoid_crossing_perimeters_max_detour = 0
+; bed_custom_model = 
+; bed_custom_texture = 
+; bed_shape = 3x3,228x3,228x228,3x228
+; bed_temperature = 60
+; before_layer_gcode = ;BEFORE_LAYER_CHANGE\nG92 E0\n;{layer_z}\n\n
+; between_objects_gcode = 
+; bottom_fill_pattern = monotonic
+; bottom_solid_layers = 4
+; bottom_solid_min_thickness = 0
+; bridge_acceleration = 250
+; bridge_angle = 0
+; bridge_fan_speed = 100
+; bridge_flow_ratio = 0.95
+; bridge_speed = 25
+; brim_width = 0
+; clip_multipart_objects = 1
+; color_change_gcode = M600
+; compatible_printers_condition_cummulative = "printer_model=~/(ENDER|CR|SERMOON).*/ and nozzle_diameter[0]==0.4";printer_notes=~/.*PRINTER_VENDOR_CREALITY.*/
+; complete_objects = 0
+; cooling = 1
+; cooling_tube_length = 5
+; cooling_tube_retraction = 91.5
+; default_acceleration = 500
+; default_filament_profile = "Generic PLA @CREALITY"
+; default_print_profile = 0.16mm OPTIMAL @CREALITY
+; deretract_speed = 40
+; disable_fan_first_layers = 1
+; dont_support_bridges = 1
+; draft_shield = 0
+; duplicate_distance = 6
+; elefant_foot_compensation = 0.1
+; end_filament_gcode = "; Filament-specific end gcode \n;END gcode for filament\n"
+; end_gcode = {if max_layer_z < max_print_height}G1 Z{z_offset+min(max_layer_z+2, max_print_height)} F600 ; Move print head up{endif}\nG1 X5 Y{print_bed_max[1]*0.8} F{travel_speed*60} ; present print\n{if max_layer_z < max_print_height-10}G1 Z{z_offset+min(max_layer_z+70, max_print_height-10)} F600 ; Move print head further up{endif}\n{if max_layer_z < max_print_height*0.6}G1 Z{max_print_height*0.6} F600 ; Move print head further up{endif}\nM140 S0 ; turn off heatbed\nM104 S0 ; turn off temperature\nM107 ; turn off fan\nM84 X Y E ; disable motors
+; ensure_vertical_shell_thickness = 1
+; external_perimeter_extrusion_width = 0.45
+; external_perimeter_speed = 25
+; external_perimeters_first = 0
+; extra_loading_move = -2
+; extra_perimeters = 0
+; extruder_clearance_height = 34
+; extruder_clearance_radius = 47
+; extruder_colour = #FCE94F
+; extruder_offset = 0x0
+; extrusion_axis = E
+; extrusion_multiplier = 1
+; extrusion_width = 0.45
+; fan_always_on = 1
+; fan_below_layer_time = 100
+; filament_colour = #FFE200
+; filament_cooling_final_speed = 3.4
+; filament_cooling_initial_speed = 2.2
+; filament_cooling_moves = 4
+; filament_cost = 19.5
+; filament_density = 1.24
+; filament_diameter = 1.75
+; filament_load_time = 0
+; filament_loading_speed = 28
+; filament_loading_speed_start = 3
+; filament_max_volumetric_speed = 15
+; filament_minimal_purge_on_wipe_tower = 15
+; filament_notes = ""
+; filament_ramming_parameters = "120 100 6.6 6.8 7.2 7.6 7.9 8.2 8.7 9.4 9.9 10.0| 0.05 6.6 0.45 6.8 0.95 7.8 1.45 8.3 1.95 9.7 2.45 10 2.95 7.6 3.45 7.6 3.95 7.6 4.45 7.6 4.95 7.6"
+; filament_settings_id = "123-3D Jupiter PLA @CREALITY"
+; filament_soluble = 0
+; filament_spool_weight = 0
+; filament_toolchange_delay = 0
+; filament_type = PLA
+; filament_unload_time = 0
+; filament_unloading_speed = 90
+; filament_unloading_speed_start = 100
+; filament_vendor = 123-3D
+; fill_angle = 45
+; fill_density = 15%
+; fill_pattern = grid
+; first_layer_acceleration = 0
+; first_layer_bed_temperature = 60
+; first_layer_extrusion_width = 0.42
+; first_layer_height = 0.2
+; first_layer_speed = 20
+; first_layer_temperature = 205
+; full_fan_speed_layer = 0
+; gap_fill_speed = 30
+; gcode_comments = 0
+; gcode_flavor = marlin
+; gcode_label_objects = 0
+; high_current_on_filament_swap = 0
+; host_type = octoprint
+; infill_acceleration = 0
+; infill_anchor = 600%
+; infill_anchor_max = 50
+; infill_every_layers = 1
+; infill_extruder = 1
+; infill_extrusion_width = 0.45
+; infill_first = 0
+; infill_only_where_needed = 0
+; infill_overlap = 25%
+; infill_speed = 50
+; interface_shells = 0
+; ironing = 0
+; ironing_flowrate = 15%
+; ironing_spacing = 0.1
+; ironing_speed = 15
+; ironing_type = top
+; layer_gcode = ;AFTER_LAYER_CHANGE\n;{layer_z}
+; layer_height = 0.2
+; machine_limits_usage = emit_to_gcode
+; machine_max_acceleration_e = 5000
+; machine_max_acceleration_extruding = 500
+; machine_max_acceleration_retracting = 1000
+; machine_max_acceleration_x = 500
+; machine_max_acceleration_y = 500
+; machine_max_acceleration_z = 100
+; machine_max_feedrate_e = 60
+; machine_max_feedrate_x = 500
+; machine_max_feedrate_y = 500
+; machine_max_feedrate_z = 10
+; machine_max_jerk_e = 5
+; machine_max_jerk_x = 8
+; machine_max_jerk_y = 8
+; machine_max_jerk_z = 0.4
+; machine_min_extruding_rate = 0
+; machine_min_travel_rate = 0
+; max_fan_speed = 100
+; max_layer_height = 0.28
+; max_print_height = 250
+; max_print_speed = 100
+; max_volumetric_speed = 0
+; min_fan_speed = 100
+; min_layer_height = 0.08
+; min_print_speed = 15
+; min_skirt_length = 4
+; notes = 
+; nozzle_diameter = 0.4
+; only_retract_when_crossing_perimeters = 0
+; ooze_prevention = 0
+; output_filename_format = {input_filename_base}_{print_time}_{layer_height}mm_{temperature[0]}C_{filament_type[0]}_{printer_model}.gcode
+; overhangs = 0
+; parking_pos_retraction = 92
+; pause_print_gcode = 
+; perimeter_acceleration = 0
+; perimeter_extruder = 1
+; perimeter_extrusion_width = 0.45
+; perimeter_speed = 40
+; perimeters = 2
+; physical_printer_settings_id = kelvinsprinter
+; post_process = 
+; print_settings_id = 0.20mm NORMAL @CREALITY
+; printer_model = ENDER3
+; printer_notes = Don't remove the following keywords! These keywords are used in the "compatible printer" condition of the print and filament profiles to link the particular print and filament profiles to this printer profile.\nPRINTER_VENDOR_CREALITY\nPRINTER_MODEL_ENDER3\nPRINTER_HAS_BOWDEN
+; printer_settings_id = Creality Ender-3
+; printer_technology = FFF
+; printer_variant = 0.4
+; printer_vendor = 
+; raft_layers = 0
+; remaining_times = 0
+; resolution = 0
+; retract_before_travel = 2
+; retract_before_wipe = 70%
+; retract_layer_change = 1
+; retract_length = 5
+; retract_length_toolchange = 1
+; retract_lift = 0
+; retract_lift_above = 0
+; retract_lift_below = 0
+; retract_restart_extra = 0
+; retract_restart_extra_toolchange = 0
+; retract_speed = 60
+; seam_position = nearest
+; silent_mode = 0
+; single_extruder_multi_material = 0
+; single_extruder_multi_material_priming = 0
+; skirt_distance = 3
+; skirt_height = 2
+; skirts = 1
+; slice_closing_radius = 0.049
+; slowdown_below_layer_time = 20
+; small_perimeter_speed = 25
+; solid_infill_below_area = 0
+; solid_infill_every_layers = 0
+; solid_infill_extruder = 1
+; solid_infill_extrusion_width = 0.45
+; solid_infill_speed = 40
+; spiral_vase = 0
+; standby_temperature_delta = -5
+; start_filament_gcode = "; Filament gcode\n"
+; start_gcode = G90 ; use absolute coordinates\nM83 ; extruder relative mode\nM140 S{first_layer_bed_temperature[0]} ; set final bed temp\nM104 S150 ; set temporary nozzle temp to prevent oozing during homing\nG4 S10 ; allow partial nozzle warmup\nG28 ; home all axis\nG1 Z50 F240\nG1 X2 Y10 F3000\nM104 S{first_layer_temperature[0]} ; set final nozzle temp\nM190 S{first_layer_bed_temperature[0]} ; wait for bed temp to stabilize\nM109 S{first_layer_temperature[0]} ; wait for nozzle temp to stabilize\nG1 Z0.28 F240\nG92 E0\nG1 Y140 E10 F1500 ; prime the nozzle\nG1 X2.3 F5000\nG92 E0\nG1 Y10 E10 F1200 ; prime the nozzle\nG92 E0
+; support_material = 0
+; support_material_angle = 0
+; support_material_auto = 1
+; support_material_buildplate_only = 0
+; support_material_contact_distance = 0.15
+; support_material_enforce_layers = 0
+; support_material_extruder = 0
+; support_material_extrusion_width = 0.38
+; support_material_interface_contact_loops = 0
+; support_material_interface_extruder = 0
+; support_material_interface_layers = 2
+; support_material_interface_spacing = 0.2
+; support_material_interface_speed = 100%
+; support_material_pattern = rectilinear
+; support_material_spacing = 2
+; support_material_speed = 40
+; support_material_synchronize_layers = 0
+; support_material_threshold = 40
+; support_material_with_sheath = 0
+; support_material_xy_spacing = 60%
+; temperature = 200
+; template_custom_gcode = 
+; thin_walls = 0
+; threads = 8
+; thumbnails = 
+; toolchange_gcode = 
+; top_fill_pattern = monotonic
+; top_infill_extrusion_width = 0.4
+; top_solid_infill_speed = 30
+; top_solid_layers = 5
+; top_solid_min_thickness = 0
+; travel_speed = 150
+; use_firmware_retraction = 0
+; use_relative_e_distances = 1
+; use_volumetric_e = 0
+; variable_layer_height = 1
+; wipe = 1
+; wipe_into_infill = 0
+; wipe_into_objects = 0
+; wipe_tower = 0
+; wipe_tower_bridging = 10
+; wipe_tower_no_sparse_layers = 0
+; wipe_tower_rotation_angle = 0
+; wipe_tower_width = 60
+; wipe_tower_x = 170
+; wipe_tower_y = 140
+; wiping_volumes_extruders = 70,70
+; wiping_volumes_matrix = 0
+; xy_size_compensation = 0
+; z_offset = 0
diff --git a/stl/stand-42mm_36m_0.2mm_200C_PLA_ENDER3.gcode b/stl/stand-42mm_36m_0.2mm_200C_PLA_ENDER3.gcode
new file mode 100644
index 0000000..d4b92ed
--- /dev/null
+++ b/stl/stand-42mm_36m_0.2mm_200C_PLA_ENDER3.gcode
@@ -0,0 +1,15545 @@
+; generated by PrusaSlicer 2.3.3 on 2022-03-06 at 14:47:16 UTC
+
+; 
+
+; external perimeters extrusion width = 0.45mm
+; perimeters extrusion width = 0.45mm
+; infill extrusion width = 0.45mm
+; solid infill extrusion width = 0.45mm
+; top infill extrusion width = 0.40mm
+; first layer extrusion width = 0.42mm
+
+M201 X500 Y500 Z100 E5000 ; sets maximum accelerations, mm/sec^2
+M203 X500 Y500 Z10 E60 ; sets maximum feedrates, mm/sec
+M204 P500 R1000 T500 ; sets acceleration (P, T) and retract acceleration (R), mm/sec^2
+M205 X8.00 Y8.00 Z0.40 E5.00 ; sets the jerk limits, mm/sec
+M205 S0 T0 ; sets the minimum extruding and travel feed rate, mm/sec
+M107
+;TYPE:Custom
+G90 ; use absolute coordinates
+M83 ; extruder relative mode
+M140 S60 ; set final bed temp
+M104 S150 ; set temporary nozzle temp to prevent oozing during homing
+G4 S10 ; allow partial nozzle warmup
+G28 ; home all axis
+G1 Z50 F240
+G1 X2 Y10 F3000
+M104 S205 ; set final nozzle temp
+M190 S60 ; wait for bed temp to stabilize
+M109 S205 ; wait for nozzle temp to stabilize
+G1 Z0.28 F240
+G92 E0
+G1 Y140 E10 F1500 ; prime the nozzle
+G1 X2.3 F5000
+G92 E0
+G1 Y10 E10 F1200 ; prime the nozzle
+G92 E0
+G21 ; set units to millimeters
+G90 ; use absolute coordinates
+M83 ; use relative distances for extrusion
+; Filament gcode
+;LAYER_CHANGE
+;Z:0.2
+;HEIGHT:0.2
+;BEFORE_LAYER_CHANGE
+G92 E0
+;0.2
+
+
+G1 E-5.00000 F3600.000
+G1 Z0.200 F9000.000
+;AFTER_LAYER_CHANGE
+;0.2
+G1 X81.285 Y132.558
+G1 E5.00000 F2400.000
+M204 S500
+;TYPE:Skirt
+;WIDTH:0.42
+G1 F1200.000
+G1 X82.176 Y132.268 E0.02937
+G1 X82.758 Y132.217 E0.01834
+G1 X132.769 Y132.217 E1.56806
+G1 X133.410 Y132.279 E0.02018
+G1 X134.023 Y132.460 E0.02004
+G1 X134.591 Y132.753 E0.02004
+G1 X135.097 Y133.151 E0.02018
+G1 X135.518 Y133.638 E0.02018
+G1 X135.837 Y134.192 E0.02004
+G1 X136.046 Y134.796 E0.02004
+G1 X136.138 Y135.433 E0.02018
+G1 X136.141 Y141.158 E0.17952
+G1 X135.990 Y142.083 E0.02937
+G1 X135.598 Y142.919 E0.02895
+G1 X134.998 Y143.615 E0.02881
+G1 X134.232 Y144.123 E0.02881
+G1 X133.354 Y144.407 E0.02895
+G1 X132.771 Y144.458 E0.01834
+G1 X82.592 Y144.454 E1.57332
+G1 X81.490 Y144.208 E0.03542
+G1 X80.530 Y143.613 E0.03542
+G1 X79.820 Y142.734 E0.03542
+G1 X79.439 Y141.670 E0.03542
+G1 X79.388 Y135.553 E0.19182
+G1 X79.523 Y134.649 E0.02867
+G1 X79.907 Y133.794 E0.02937
+G1 X80.508 Y133.081 E0.02923
+G1 X81.235 Y132.592 E0.02749
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X82.176 Y132.268 E-0.47243
+G1 X82.758 Y132.217 E-0.27784
+G1 X84.179 Y132.217 E-0.67473
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 X83.452 Y139.928 F9000.000
+G1 E5.00000 F2400.000
+;TYPE:Perimeter
+G1 F1200.000
+G1 X132.078 Y139.928 E1.52463
+G1 X132.078 Y140.383 E0.01427
+G1 X83.452 Y140.383 E1.52463
+G1 X83.452 Y139.988 E0.01239
+G1 X83.075 Y139.551 F9000.000
+;TYPE:External perimeter
+G1 F1200.000
+G1 X132.455 Y139.551 E1.54828
+G1 X132.455 Y140.760 E0.03791
+G1 X83.075 Y140.760 E1.54828
+G1 X83.075 Y139.611 E0.03603
+G1 X83.475 Y139.554 F9000.000
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X86.075 Y139.607 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 X131.889 Y140.156 F9000.000
+G1 E5.00000 F2400.000
+;TYPE:Gap fill
+;WIDTH:0.120868
+G1 F1200.000
+G1 X83.640 Y140.156 E0.31272
+M106 S255
+;LAYER_CHANGE
+;Z:0.4
+;HEIGHT:0.2
+;BEFORE_LAYER_CHANGE
+G92 E0
+;0.4
+
+
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X86.640 Y140.156 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 Z0.400 F9000.000
+;AFTER_LAYER_CHANGE
+;0.4
+M104 S200 ; set temperature
+G1 X81.490 Y144.208
+G1 E5.00000 F2400.000
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+G1 E-0.07500 F3600.000
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+;TYPE:Gap fill
+;WIDTH:0.374688
+G1 F900
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+;LAYER_CHANGE
+;Z:14.8
+;HEIGHT:0.2
+;BEFORE_LAYER_CHANGE
+G92 E0
+;14.8
+
+
+G1 E-3.50000 F3600.000
+;WIPE_START
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+;WIPE_END
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+G1 Z14.800 F9000.000
+;AFTER_LAYER_CHANGE
+;14.8
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+G1 E5.00000 F2400.000
+;TYPE:Perimeter
+;WIDTH:0.45
+G1 F900
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+G1 X96.397 Y141.239 E0.76958
+G1 X96.397 Y140.500 E0.02501
+G1 X119.073 Y140.500 E0.76755
+G1 X119.540 Y140.093 F9000.000
+;TYPE:External perimeter
+G1 F900
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+G1 X95.990 Y141.646 E0.79714
+G1 X95.990 Y140.093 E0.05257
+G1 X119.480 Y140.093 E0.79511
+G1 X119.347 Y140.444 F9000.000
+G1 E-3.50000 F3600.000
+;WIPE_START
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+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 X96.600 Y140.869 F9000.000
+G1 E5.00000 F2400.000
+;TYPE:Gap fill
+;WIDTH:0.374688
+G1 F900
+G1 X118.929 Y140.869 E0.61598
+;LAYER_CHANGE
+;Z:15
+;HEIGHT:0.2
+;BEFORE_LAYER_CHANGE
+G92 E0
+;15
+
+
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X115.929 Y140.869 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 Z15.000 F9000.000
+;AFTER_LAYER_CHANGE
+;15
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+G1 E5.00000 F2400.000
+;TYPE:Perimeter
+;WIDTH:0.45
+G1 F900
+G1 X119.133 Y141.250 E0.02501
+G1 X96.397 Y141.250 E0.76958
+G1 X96.397 Y140.511 E0.02501
+G1 X119.073 Y140.511 E0.76755
+G1 X119.540 Y140.104 F9000.000
+;TYPE:External perimeter
+G1 F900
+G1 X119.540 Y141.657 E0.05257
+G1 X95.990 Y141.657 E0.79714
+G1 X95.990 Y140.104 E0.05257
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+;WIPE_END
+G1 E-0.07500 F3600.000
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+;TYPE:Gap fill
+;WIDTH:0.374688
+G1 F900
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+;LAYER_CHANGE
+;Z:15.2
+;HEIGHT:0.2
+;BEFORE_LAYER_CHANGE
+G92 E0
+;15.2
+
+
+G1 E-3.50000 F3600.000
+;WIPE_START
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+;WIPE_END
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+;AFTER_LAYER_CHANGE
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+G1 E5.00000 F2400.000
+;TYPE:Perimeter
+;WIDTH:0.45
+G1 F900
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+G1 X96.397 Y141.261 E0.76958
+G1 X96.397 Y140.522 E0.02501
+G1 X119.073 Y140.522 E0.76755
+G1 X119.540 Y140.115 F9000.000
+;TYPE:External perimeter
+G1 F900
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+G1 X95.990 Y141.668 E0.79714
+G1 X95.990 Y140.115 E0.05257
+G1 X119.480 Y140.115 E0.79511
+G1 X119.347 Y140.465 F9000.000
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
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+G1 X118.094 Y141.668 E-0.68677
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 X96.600 Y140.891 F9000.000
+G1 E5.00000 F2400.000
+;TYPE:Gap fill
+;WIDTH:0.374688
+G1 F900
+G1 X118.929 Y140.891 E0.61598
+;LAYER_CHANGE
+;Z:15.4
+;HEIGHT:0.2
+;BEFORE_LAYER_CHANGE
+G92 E0
+;15.4
+
+
+G1 E-3.50000 F3600.000
+;WIPE_START
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+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 Z15.400 F9000.000
+;AFTER_LAYER_CHANGE
+;15.4
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+G1 E5.00000 F2400.000
+;TYPE:Perimeter
+;WIDTH:0.45
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+G1 X96.397 Y140.533 E0.02501
+G1 X119.073 Y140.533 E0.76755
+G1 X119.540 Y140.126 F9000.000
+;TYPE:External perimeter
+G1 F900
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+G1 X95.990 Y141.679 E0.79714
+G1 X95.990 Y140.126 E0.05257
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+G1 X119.347 Y140.476 F9000.000
+G1 E-3.50000 F3600.000
+;WIPE_START
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+G1 X118.094 Y141.679 E-0.68677
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 X96.600 Y140.902 F9000.000
+G1 E5.00000 F2400.000
+;TYPE:Gap fill
+;WIDTH:0.374688
+G1 F900
+G1 X118.929 Y140.902 E0.61598
+;LAYER_CHANGE
+;Z:15.6
+;HEIGHT:0.200001
+;BEFORE_LAYER_CHANGE
+G92 E0
+;15.6
+
+
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
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+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 Z15.600 F9000.000
+;AFTER_LAYER_CHANGE
+;15.6
+G1 X119.133 Y140.544
+G1 E5.00000 F2400.000
+;TYPE:Perimeter
+;WIDTH:0.45
+G1 F900
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+G1 X96.397 Y141.283 E0.76958
+G1 X96.397 Y140.544 E0.02501
+G1 X119.073 Y140.544 E0.76755
+G1 X119.540 Y140.137 F9000.000
+;TYPE:External perimeter
+G1 F900
+G1 X119.540 Y141.690 E0.05257
+G1 X95.990 Y141.690 E0.79714
+G1 X95.990 Y140.137 E0.05257
+G1 X119.480 Y140.137 E0.79511
+G1 X119.347 Y140.487 F9000.000
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
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+G1 X118.094 Y141.690 E-0.68677
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 X96.600 Y140.913 F9000.000
+G1 E5.00000 F2400.000
+;TYPE:Gap fill
+;WIDTH:0.374688
+G1 F900
+G1 X118.929 Y140.913 E0.61598
+;LAYER_CHANGE
+;Z:15.8
+;HEIGHT:0.2
+;BEFORE_LAYER_CHANGE
+G92 E0
+;15.8
+
+
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
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+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 Z15.800 F9000.000
+;AFTER_LAYER_CHANGE
+;15.8
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+G1 E5.00000 F2400.000
+;TYPE:Perimeter
+;WIDTH:0.45
+G1 F900
+G1 X119.133 Y141.294 E0.02501
+G1 X96.397 Y141.294 E0.76958
+G1 X96.397 Y140.555 E0.02501
+G1 X119.073 Y140.555 E0.76755
+G1 X119.540 Y140.148 F9000.000
+;TYPE:External perimeter
+G1 F900
+G1 X119.540 Y141.701 E0.05257
+G1 X95.990 Y141.701 E0.79714
+G1 X95.990 Y140.148 E0.05257
+G1 X119.480 Y140.148 E0.79511
+G1 X119.347 Y140.498 F9000.000
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X119.540 Y141.701 E-0.73823
+G1 X118.094 Y141.701 E-0.68677
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 X96.600 Y140.924 F9000.000
+G1 E5.00000 F2400.000
+;TYPE:Gap fill
+;WIDTH:0.374688
+G1 F900
+G1 X118.929 Y140.924 E0.61598
+;LAYER_CHANGE
+;Z:16
+;HEIGHT:0.2
+;BEFORE_LAYER_CHANGE
+G92 E0
+;16
+
+
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X115.929 Y140.924 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 Z16.000 F9000.000
+;AFTER_LAYER_CHANGE
+;16
+G1 X119.133 Y140.566
+G1 E5.00000 F2400.000
+;TYPE:Perimeter
+;WIDTH:0.45
+G1 F900
+G1 X119.133 Y141.305 E0.02501
+G1 X96.397 Y141.305 E0.76958
+G1 X96.397 Y140.566 E0.02501
+G1 X119.073 Y140.566 E0.76755
+G1 X119.540 Y140.159 F9000.000
+;TYPE:External perimeter
+G1 F900
+G1 X119.540 Y141.712 E0.05257
+G1 X95.990 Y141.712 E0.79714
+G1 X95.990 Y140.159 E0.05257
+G1 X119.480 Y140.159 E0.79511
+G1 X119.347 Y140.509 F9000.000
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000
+G1 X119.540 Y141.712 E-0.73823
+G1 X118.094 Y141.712 E-0.68677
+;WIPE_END
+G1 E-0.07500 F3600.000
+G1 X96.600 Y140.935 F9000.000
+G1 E5.00000 F2400.000
+;TYPE:Gap fill
+;WIDTH:0.37469
+G1 F900
+G1 X118.929 Y140.935 E0.61598
+G1 E-3.50000 F3600.000
+;WIPE_START
+G1 F7200.000;_WIPE
+G1 X115.929 Y140.935 E-1.42500
+;WIPE_END
+G1 E-0.07500 F3600.000
+M107
+;TYPE:Custom
+; Filament-specific end gcode 
+;END gcode for filament
+G1 Z18 F600 ; Move print head up
+G1 X5 Y182.4 F9000 ; present print
+G1 Z86 F600 ; Move print head further up
+G1 Z150 F600 ; Move print head further up
+M140 S0 ; turn off heatbed
+M104 S0 ; turn off temperature
+M107 ; turn off fan
+M84 X Y E ; disable motors
+; filament used [mm] = 1611.19
+; filament used [cm3] = 3.88
+; filament used [g] = 4.81
+; filament cost = 0.09
+; total filament used [g] = 4.81
+; total filament cost = 0.09
+; estimated printing time (normal mode) = 36m 10s
+
+; avoid_crossing_perimeters = 0
+; avoid_crossing_perimeters_max_detour = 0
+; bed_custom_model = 
+; bed_custom_texture = 
+; bed_shape = 3x3,228x3,228x228,3x228
+; bed_temperature = 60
+; before_layer_gcode = ;BEFORE_LAYER_CHANGE\nG92 E0\n;{layer_z}\n\n
+; between_objects_gcode = 
+; bottom_fill_pattern = monotonic
+; bottom_solid_layers = 4
+; bottom_solid_min_thickness = 0
+; bridge_acceleration = 250
+; bridge_angle = 0
+; bridge_fan_speed = 100
+; bridge_flow_ratio = 0.95
+; bridge_speed = 25
+; brim_width = 0
+; clip_multipart_objects = 1
+; color_change_gcode = M600
+; compatible_printers_condition_cummulative = "printer_model=~/(ENDER|CR|SERMOON).*/ and nozzle_diameter[0]==0.4";printer_notes=~/.*PRINTER_VENDOR_CREALITY.*/
+; complete_objects = 0
+; cooling = 1
+; cooling_tube_length = 5
+; cooling_tube_retraction = 91.5
+; default_acceleration = 500
+; default_filament_profile = "Generic PLA @CREALITY"
+; default_print_profile = 0.16mm OPTIMAL @CREALITY
+; deretract_speed = 40
+; disable_fan_first_layers = 1
+; dont_support_bridges = 1
+; draft_shield = 0
+; duplicate_distance = 6
+; elefant_foot_compensation = 0.1
+; end_filament_gcode = "; Filament-specific end gcode \n;END gcode for filament\n"
+; end_gcode = {if max_layer_z < max_print_height}G1 Z{z_offset+min(max_layer_z+2, max_print_height)} F600 ; Move print head up{endif}\nG1 X5 Y{print_bed_max[1]*0.8} F{travel_speed*60} ; present print\n{if max_layer_z < max_print_height-10}G1 Z{z_offset+min(max_layer_z+70, max_print_height-10)} F600 ; Move print head further up{endif}\n{if max_layer_z < max_print_height*0.6}G1 Z{max_print_height*0.6} F600 ; Move print head further up{endif}\nM140 S0 ; turn off heatbed\nM104 S0 ; turn off temperature\nM107 ; turn off fan\nM84 X Y E ; disable motors
+; ensure_vertical_shell_thickness = 1
+; external_perimeter_extrusion_width = 0.45
+; external_perimeter_speed = 25
+; external_perimeters_first = 0
+; extra_loading_move = -2
+; extra_perimeters = 0
+; extruder_clearance_height = 34
+; extruder_clearance_radius = 47
+; extruder_colour = #FCE94F
+; extruder_offset = 0x0
+; extrusion_axis = E
+; extrusion_multiplier = 1
+; extrusion_width = 0.45
+; fan_always_on = 1
+; fan_below_layer_time = 100
+; filament_colour = #FFE200
+; filament_cooling_final_speed = 3.4
+; filament_cooling_initial_speed = 2.2
+; filament_cooling_moves = 4
+; filament_cost = 19.5
+; filament_density = 1.24
+; filament_diameter = 1.75
+; filament_load_time = 0
+; filament_loading_speed = 28
+; filament_loading_speed_start = 3
+; filament_max_volumetric_speed = 15
+; filament_minimal_purge_on_wipe_tower = 15
+; filament_notes = ""
+; filament_ramming_parameters = "120 100 6.6 6.8 7.2 7.6 7.9 8.2 8.7 9.4 9.9 10.0| 0.05 6.6 0.45 6.8 0.95 7.8 1.45 8.3 1.95 9.7 2.45 10 2.95 7.6 3.45 7.6 3.95 7.6 4.45 7.6 4.95 7.6"
+; filament_settings_id = "123-3D Jupiter PLA @CREALITY"
+; filament_soluble = 0
+; filament_spool_weight = 0
+; filament_toolchange_delay = 0
+; filament_type = PLA
+; filament_unload_time = 0
+; filament_unloading_speed = 90
+; filament_unloading_speed_start = 100
+; filament_vendor = 123-3D
+; fill_angle = 45
+; fill_density = 15%
+; fill_pattern = grid
+; first_layer_acceleration = 0
+; first_layer_bed_temperature = 60
+; first_layer_extrusion_width = 0.42
+; first_layer_height = 0.2
+; first_layer_speed = 20
+; first_layer_temperature = 205
+; full_fan_speed_layer = 0
+; gap_fill_speed = 30
+; gcode_comments = 0
+; gcode_flavor = marlin
+; gcode_label_objects = 0
+; high_current_on_filament_swap = 0
+; host_type = octoprint
+; infill_acceleration = 0
+; infill_anchor = 600%
+; infill_anchor_max = 50
+; infill_every_layers = 1
+; infill_extruder = 1
+; infill_extrusion_width = 0.45
+; infill_first = 0
+; infill_only_where_needed = 0
+; infill_overlap = 25%
+; infill_speed = 50
+; interface_shells = 0
+; ironing = 0
+; ironing_flowrate = 15%
+; ironing_spacing = 0.1
+; ironing_speed = 15
+; ironing_type = top
+; layer_gcode = ;AFTER_LAYER_CHANGE\n;{layer_z}
+; layer_height = 0.2
+; machine_limits_usage = emit_to_gcode
+; machine_max_acceleration_e = 5000
+; machine_max_acceleration_extruding = 500
+; machine_max_acceleration_retracting = 1000
+; machine_max_acceleration_x = 500
+; machine_max_acceleration_y = 500
+; machine_max_acceleration_z = 100
+; machine_max_feedrate_e = 60
+; machine_max_feedrate_x = 500
+; machine_max_feedrate_y = 500
+; machine_max_feedrate_z = 10
+; machine_max_jerk_e = 5
+; machine_max_jerk_x = 8
+; machine_max_jerk_y = 8
+; machine_max_jerk_z = 0.4
+; machine_min_extruding_rate = 0
+; machine_min_travel_rate = 0
+; max_fan_speed = 100
+; max_layer_height = 0.28
+; max_print_height = 250
+; max_print_speed = 100
+; max_volumetric_speed = 0
+; min_fan_speed = 100
+; min_layer_height = 0.08
+; min_print_speed = 15
+; min_skirt_length = 4
+; notes = 
+; nozzle_diameter = 0.4
+; only_retract_when_crossing_perimeters = 0
+; ooze_prevention = 0
+; output_filename_format = {input_filename_base}_{print_time}_{layer_height}mm_{temperature[0]}C_{filament_type[0]}_{printer_model}.gcode
+; overhangs = 0
+; parking_pos_retraction = 92
+; pause_print_gcode = 
+; perimeter_acceleration = 0
+; perimeter_extruder = 1
+; perimeter_extrusion_width = 0.45
+; perimeter_speed = 40
+; perimeters = 2
+; physical_printer_settings_id = kelvinsprinter
+; post_process = 
+; print_settings_id = 0.20mm NORMAL @CREALITY
+; printer_model = ENDER3
+; printer_notes = Don't remove the following keywords! These keywords are used in the "compatible printer" condition of the print and filament profiles to link the particular print and filament profiles to this printer profile.\nPRINTER_VENDOR_CREALITY\nPRINTER_MODEL_ENDER3\nPRINTER_HAS_BOWDEN
+; printer_settings_id = Creality Ender-3
+; printer_technology = FFF
+; printer_variant = 0.4
+; printer_vendor = 
+; raft_layers = 0
+; remaining_times = 0
+; resolution = 0
+; retract_before_travel = 2
+; retract_before_wipe = 70%
+; retract_layer_change = 1
+; retract_length = 5
+; retract_length_toolchange = 1
+; retract_lift = 0
+; retract_lift_above = 0
+; retract_lift_below = 0
+; retract_restart_extra = 0
+; retract_restart_extra_toolchange = 0
+; retract_speed = 60
+; seam_position = nearest
+; silent_mode = 0
+; single_extruder_multi_material = 0
+; single_extruder_multi_material_priming = 0
+; skirt_distance = 3
+; skirt_height = 2
+; skirts = 1
+; slice_closing_radius = 0.049
+; slowdown_below_layer_time = 20
+; small_perimeter_speed = 25
+; solid_infill_below_area = 0
+; solid_infill_every_layers = 0
+; solid_infill_extruder = 1
+; solid_infill_extrusion_width = 0.45
+; solid_infill_speed = 40
+; spiral_vase = 0
+; standby_temperature_delta = -5
+; start_filament_gcode = "; Filament gcode\n"
+; start_gcode = G90 ; use absolute coordinates\nM83 ; extruder relative mode\nM140 S{first_layer_bed_temperature[0]} ; set final bed temp\nM104 S150 ; set temporary nozzle temp to prevent oozing during homing\nG4 S10 ; allow partial nozzle warmup\nG28 ; home all axis\nG1 Z50 F240\nG1 X2 Y10 F3000\nM104 S{first_layer_temperature[0]} ; set final nozzle temp\nM190 S{first_layer_bed_temperature[0]} ; wait for bed temp to stabilize\nM109 S{first_layer_temperature[0]} ; wait for nozzle temp to stabilize\nG1 Z0.28 F240\nG92 E0\nG1 Y140 E10 F1500 ; prime the nozzle\nG1 X2.3 F5000\nG92 E0\nG1 Y10 E10 F1200 ; prime the nozzle\nG92 E0
+; support_material = 0
+; support_material_angle = 0
+; support_material_auto = 1
+; support_material_buildplate_only = 0
+; support_material_contact_distance = 0.15
+; support_material_enforce_layers = 0
+; support_material_extruder = 0
+; support_material_extrusion_width = 0.38
+; support_material_interface_contact_loops = 0
+; support_material_interface_extruder = 0
+; support_material_interface_layers = 2
+; support_material_interface_spacing = 0.2
+; support_material_interface_speed = 100%
+; support_material_pattern = rectilinear
+; support_material_spacing = 2
+; support_material_speed = 40
+; support_material_synchronize_layers = 0
+; support_material_threshold = 40
+; support_material_with_sheath = 0
+; support_material_xy_spacing = 60%
+; temperature = 200
+; template_custom_gcode = 
+; thin_walls = 0
+; threads = 8
+; thumbnails = 
+; toolchange_gcode = 
+; top_fill_pattern = monotonic
+; top_infill_extrusion_width = 0.4
+; top_solid_infill_speed = 30
+; top_solid_layers = 5
+; top_solid_min_thickness = 0
+; travel_speed = 150
+; use_firmware_retraction = 0
+; use_relative_e_distances = 1
+; use_volumetric_e = 0
+; variable_layer_height = 1
+; wipe = 1
+; wipe_into_infill = 0
+; wipe_into_objects = 0
+; wipe_tower = 0
+; wipe_tower_bridging = 10
+; wipe_tower_no_sparse_layers = 0
+; wipe_tower_rotation_angle = 0
+; wipe_tower_width = 60
+; wipe_tower_x = 170
+; wipe_tower_y = 140
+; wiping_volumes_extruders = 70,70
+; wiping_volumes_matrix = 0
+; xy_size_compensation = 0
+; z_offset = 0
diff --git a/stl/test-stand-extrusion-clamps.amf b/stl/test-stand-extrusion-clamps.amf
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diff --git a/stl/test-stand-stand-16mm.amf b/stl/test-stand-stand-16mm.amf
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diff --git a/stl/test-stand-stand-42mm.amf b/stl/test-stand-stand-42mm.amf
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diff --git a/test-stand.FCStd b/test-stand.FCStd
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diff --git a/test-stand.FCStd1 b/test-stand.FCStd1
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