diff --git a/docs/getting-started/csm-stack/csm-sandbox-isd-file.json b/docs/getting-started/csm-stack/csm-sandbox-isd-file.json
new file mode 100644
index 00000000..5c0e04ed
--- /dev/null
+++ b/docs/getting-started/csm-stack/csm-sandbox-isd-file.json
@@ -0,0 +1,1805 @@
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+        0.00014025460687711305,
+        -0.00034625145120930565
+      ],
+      [
+        0.0007990961524683548,
+        0.0002502620489924781,
+        -0.00034048323518839994
+      ],
+      [
+        0.0008082929267075054,
+        0.00037338795825740787,
+        -0.00040017970233756215
+      ],
+      [
+        0.0007541124360754454,
+        0.00040233523907099166,
+        -0.0003855488270738814
+      ],
+      [
+        0.0007782302392832677,
+        0.0002844725073945692,
+        -0.00036662541769734794
+      ],
+      [
+        0.0008369021182147499,
+        0.00024121674958703338,
+        -0.00037630924589535667
+      ],
+      [
+        0.0008989131334523979,
+        0.00019860948553139768,
+        -0.0004069341549486171
+      ],
+      [
+        0.0008755101659818697,
+        0.00010383686766911543,
+        -0.00042727143805204945
+      ],
+      [
+        0.0008391358388512614,
+        0.00014844202564022165,
+        -0.0003951799796032418
+      ],
+      [
+        0.0008324009650474255,
+        0.00025361283208415213,
+        -0.0003714594323615589
+      ],
+      [
+        0.0008267975014290774,
+        0.0003254895199165755,
+        -0.0003366391288235988
+      ],
+      [
+        0.0007580330060659925,
+        0.00029518997664478345,
+        -0.00029465271066631617
+      ],
+      [
+        0.000755050237648724,
+        0.0002975797599534989,
+        -0.0003733722512354457
+      ],
+      [
+        0.0008463605058286069,
+        0.00028625557557330724,
+        -0.0004357813379743785
+      ],
+      [
+        0.0008611741477692213,
+        0.00020747302757289547,
+        -0.00045207237445313135
+      ],
+      [
+        0.0008706038905026095,
+        0.00010457498710468946,
+        -0.00043143891724527596
+      ],
+      [
+        0.0008937911985791525,
+        0.0001661799521245531,
+        -0.0003830932851856362
+      ],
+      [
+        0.0008466287831170897,
+        0.00022359014803794325,
+        -0.00039454566047296245
+      ],
+      [
+        0.00077912975214439,
+        0.0002731253250502648,
+        -0.0003641215848306847
+      ],
+      [
+        0.0007656391398204732,
+        0.00030130217252869243,
+        -0.0003530139146045894
+      ],
+      [
+        0.0008064139699115475,
+        0.00031342287935684336,
+        -0.0003500631876206988
+      ],
+      [
+        0.0008253227761703705,
+        0.00024418621128260217,
+        -0.0003405440768151482
+      ],
+      [
+        0.0008311712684086134,
+        0.00015005010372866735,
+        -0.00038063474334725926
+      ],
+      [
+        0.0008837111794567322,
+        0.0001672829877960586,
+        -0.00044149514141971684
+      ]
+    ],
+    "reference_frame": 1,
+    "constant_frames": [
+      -74021,
+      -74000
+    ],
+    "constant_rotation": [
+      0.9999995608798441,
+      -1.5196024192803497e-05,
+      0.0009370214510594062,
+      1.527655207535669e-05,
+      0.9999999961910578,
+      -8.593317911879532e-05,
+      -0.0009370201416476768,
+      8.594745584079714e-05,
+      0.9999995573030465
+    ]
+  },
+  "naif_keywords": {
+    "BODY499_PM": [
+      176.63,
+      350.89198226,
+      0
+    ],
+    "BODY499_POLE_DEC": [
+      52.8865,
+      -0.0609,
+      0
+    ],
+    "BODY499_POLE_RA": [
+      317.68143,
+      -0.1061,
+      0
+    ],
+    "BODY499_RADII": [
+      3396.19,
+      3396.19,
+      3376.2
+    ],
+    "BODY_CODE": 499,
+    "BODY_FRAME_CODE": 10014,
+    "FRAME_-74021_CENTER": -74,
+    "FRAME_-74021_CLASS": 4,
+    "FRAME_-74021_CLASS_ID": -74021,
+    "FRAME_-74021_NAME": "MRO_CTX",
+    "INS-74021_BORESIGHT_LINE": 0.430442527,
+    "INS-74021_BORESIGHT_SAMPLE": 2543.46099,
+    "INS-74021_CK_FRAME_ID": -74000,
+    "INS-74021_CK_REFERENCE_ID": -74900,
+    "INS-74021_FOCAL_LENGTH": 352.9271664,
+    "INS-74021_ITRANSL": [
+      0,
+      142.85714285714,
+      0
+    ],
+    "INS-74021_ITRANSS": [
+      0,
+      0,
+      142.85714285714
+    ],
+    "INS-74021_OD_K": [
+      -0.007343392592005451,
+      2.83758786362417e-05,
+      1.28419891240271e-08
+    ],
+    "INS-74021_PIXEL_PITCH": 0.007,
+    "INS-74021_TRANSX": [
+      0,
+      0,
+      0.007
+    ],
+    "INS-74021_TRANSY": [
+      0,
+      0.007,
+      0
+    ],
+    "SCLK01_COEFFICIENTS_74999": [
+      0,
+      -631195148.816,
+      1,
+      3097283854336,
+      -583934347.816,
+      1,
+      5164027215872,
+      -552398346.816,
+      1,
+      7230770577408
+    ],
+    "SCLK01_MODULI_74999": [
+      4294967296,
+      65536
+    ],
+    "SCLK01_N_FIELDS_74999": 2,
+    "SCLK01_OFFSETS_74999": [
+      0,
+      0
+    ],
+    "SCLK01_OUTPUT_DELIM_74999": 1,
+    "SCLK01_TIME_SYSTEM_74999": 2,
+    "SCLK_DATA_TYPE_74999": 1,
+    "SCLK_PARTITION_END_74999": [
+      52973626698957,
+      56987144678331,
+      58187590527162.99,
+      60316687182323,
+      60877152115000,
+      61228279788693,
+      61339176915162.99,
+      61899057915627,
+      63521451859691,
+      65622287643263
+    ],
+    "SCLK_PARTITION_START_74999": [
+      0,
+      52973626982399.99,
+      56987144683520,
+      58187590533120,
+      60316687204352.01,
+      60877152124927.99,
+      61228279791616,
+      61339176927232,
+      61899057922048,
+      63521451868160
+    ],
+    "TKFRAME_-74021_ANGLES": [
+      0,
+      0,
+      0
+    ],
+    "TKFRAME_-74021_AXES": [
+      1,
+      2,
+      3
+    ],
+    "TKFRAME_-74021_RELATIVE": "MRO_CTX_BASE",
+    "TKFRAME_-74021_SPEC": "ANGLES",
+    "TKFRAME_-74021_UNITS": "DEGREES",
+    "CLOCK_ET_-74_0847918635:228_COMPUTED": "cc6b7934e0d5a941"
+  },
+  "detector_sample_summing": 1,
+  "detector_line_summing": 1,
+  "focal_length_model": {
+    "focal_length": 352.9271664
+  },
+  "detector_center": {
+    "line": 0.430442527,
+    "sample": 2542.96099
+  },
+  "focal2pixel_lines": [
+    0,
+    142.85714285714,
+    0
+  ],
+  "focal2pixel_samples": [
+    0,
+    0,
+    142.85714285714
+  ],
+  "optical_distortion": {
+    "radial": {
+      "coefficients": [
+        -0.007343392592005451,
+        2.83758786362417e-05,
+        1.28419891240271e-08
+      ]
+    }
+  },
+  "starting_detector_line": 0,
+  "starting_detector_sample": 0,
+  "instrument_position": {
+    "spk_table_start_time": 216723482.23715055,
+    "spk_table_end_time": 216723495.69148654,
+    "spk_table_original_size": 3,
+    "ephemeris_times": [
+      216723482.23715055,
+      216723488.96431854,
+      216723495.69148654
+    ],
+    "velocities": [
+      [
+        1.6087733926312417,
+        -0.8888423130924722,
+        2.8939419102343438
+      ],
+      [
+        1.611893092779976,
+        -0.908651423509244,
+        2.885826547625041
+      ],
+      [
+        1.61494795239872,
+        -0.9284209739179975,
+        2.8775970803878494
+      ]
+    ],
+    "positions": [
+      [
+        -529.8262604823674,
+        3349.71313744047,
+        1363.1894181657883
+      ],
+      [
+        -518.9932420440279,
+        3343.6670944261364,
+        1382.6302189737128
+      ],
+      [
+        -508.1394543245507,
+        3337.487924379224,
+        1402.0160422102003
+      ]
+    ],
+    "reference_frame": 1
+  },
+  "sun_position": {
+    "spk_table_start_time": 216723482.23715055,
+    "spk_table_end_time": 216723495.69148654,
+    "spk_table_original_size": 2,
+    "ephemeris_times": [
+      216723482.23715055,
+      216723495.69148654
+    ],
+    "velocities": [
+      [
+        -16.488525784980506,
+        14.827189635728486,
+        7.246326588455587
+      ],
+      [
+        -16.488550415197388,
+        14.827170599350707,
+        7.246318522473797
+      ]
+    ],
+    "positions": [
+      [
+        180471539.80115613,
+        139494970.71078598,
+        59106005.72668789
+      ],
+      [
+        180471317.95882466,
+        139495170.20064908,
+        59106103.221146174
+      ]
+    ],
+    "reference_frame": 1
+  }
+}
\ No newline at end of file
diff --git a/docs/getting-started/csm-stack/csm-sandbox.ipynb b/docs/getting-started/csm-stack/csm-sandbox.ipynb
new file mode 100644
index 00000000..ceb93914
--- /dev/null
+++ b/docs/getting-started/csm-stack/csm-sandbox.ipynb
@@ -0,0 +1,382 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# CSM Sandbox\n",
+    "\n",
+    "[Download This Notebook :octicons-file-code-16:](https://raw.githubusercontent.com/DOI-USGS/asc-public-docs/refs/heads/main/docs/getting-started/csm-stack/csm-sandbox.zip){ .md-button .md-button--primary }\n",
+    "\n",
+    "### Install Prerequisites\n",
+    "```sh\n",
+    "conda create -n csm-sandbox -c conda-forge knoten=0.4 notebook matplotlib ipywidgets 'ipympl>=0.9.6'\n",
+    "conda activate csm-sandbox\n",
+    "```\n",
+    "\n",
+    "??? warning \"ARM Compatibility Issues\"\n",
+    "\n",
+    "    ARM machines may have dependency issues, for now we recommend running in an x86 environment.\n",
+    "\n",
+    "    On ARM Macs, you can tell conda to create an x86 environment by prefixing your command with `CONDA_SUBDIR=osx-64`:\n",
+    "\n",
+    "        CONDA_SUBDIR=osx-64 conda create -n csm-sandbox -c conda-forge knoten=0.4 notebook matplotlib ipywidgets 'ipympl>=0.9.6'\n",
+    "\n",
+    "\n",
+    "### Running the notebook on your computer\n",
+    "\n",
+    "This notebook has an interactive widget.\n",
+    "\n",
+    "To try it, [download](https://raw.githubusercontent.com/DOI-USGS/asc-public-docs/refs/heads/main/docs/getting-started/csm-stack/csm-sandbox.zip) it on your computer and unzip it.  In a terminal, `cd` into its folder.\n",
+    "\n",
+    "After installing the prerequisites as above, run `jupyter notebook` in that folder to open the notebook in your browser."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib widget\n",
+    "import os                           # File Path Joining\n",
+    "import json                         # Read ISD as python dictionary\n",
+    "import copy                         # Important to be able to modify the ISD\n",
+    "\n",
+    "from knoten import csm              # Knoten CSM\n",
+    "\n",
+    "import matplotlib.pyplot as plt     # Math and Plotting Tools\n",
+    "import ipywidgets as widgets\n",
+    "from ipywidgets import Layout"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "\n"
+      ],
+      "text/plain": [
+       ""
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%html\n",
+    "\n",
+    ""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Methods for reading/printing stats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def print_stats(dict, search_keys):\n",
+    "    for search_key in search_keys:\n",
+    "        print(f\"{search_key+\": \":<25}\" + str(dict[search_key]))\n",
+    "\n",
+    "def plot_footprint(lons, lats, aspect):\n",
+    "    plt.close()\n",
+    "    plt.rcParams['figure.figsize'] = aspect\n",
+    "    plt.axes().set_aspect('equal','datalim')\n",
+    "    plt.plot(lons, lats)\n",
+    "    plt.xlabel('Longitude (deg)')\n",
+    "    plt.ylabel('Latitude (deg)')\n",
+    "    plt.title('CSM footprint')\n",
+    "    plt.show()\n",
+    "\n",
+    "def plot_footprint_comparison(fp1, fp2, aspect, dic_o, dic_n):\n",
+    "    plt.clf()                                   # clear previous figure \n",
+    "    \n",
+    "    fp1_plot, = plt.plot(fp1[0], fp1[1], 'b')   # Plot footprint 1 in blue\n",
+    "    fp2_plot, = plt.plot(fp2[0], fp2[1], 'r')       # Plot footprint 2 in red\n",
+    "    \n",
+    "    plt.title('Original vs. Modified Footprint')    # Title and axis labels\n",
+    "    plt.xlabel('Longitude (deg)')\n",
+    "    plt.ylabel('Latitude (deg)')\n",
+    "    fp1_plot.set_label(fp1[2])  # Labels/Legend\n",
+    "    fp2_plot.set_label(fp2[2])\n",
+    "    plt.legend()\n",
+    "    \n",
+    "    plt.axis('equal') # Set equal scale on both axes so the original shape won't be distorted\n",
+    "    plt.grid(color='#DDDDDD', linewidth=0.5) # Grid makes scale/transformation more visible\n",
+    "\n",
+    "    # Display Values\n",
+    "    \n",
+    "    o_foc_len = dic_o['focal_length_model']['focal_length']\n",
+    "    o_det_cen = (dic_o['detector_center']['line'], dic_o['detector_center']['sample'])\n",
+    "    o_disto = dic_o['optical_distortion']['radial']['coefficients']\n",
+    "    o_eph_time = dic_o['center_ephemeris_time']\n",
+    "    \n",
+    "    n_foc_len = dic_n['focal_length_model']['focal_length']\n",
+    "    n_det_cen = (dic_n['detector_center']['line'], dic_n['detector_center']['sample'])\n",
+    "    n_disto = dic_n['optical_distortion']['radial']['coefficients']\n",
+    "    n_eph_time = dic_n['center_ephemeris_time']\n",
+    "    \n",
+    "    text_labels = ('Focal Length: \\n' +\n",
+    "        'Detector Center (L, S): \\n' +\n",
+    "        'Radial Distortion: \\n' + \n",
+    "        'Ephemeris Center Time: ')\n",
+    "    old_values = (f'{o_foc_len:.0f} \\n' +\n",
+    "        f'({o_det_cen[0]:.0f}, {o_det_cen[1]:.0f}) \\n' +\n",
+    "        f'({o_disto[0]:.2f}, {o_disto[1]:.4f}, {o_disto[2]:.7f}) \\n' + \n",
+    "        f'{o_eph_time:.1f}')\n",
+    "    new_values = (f'→ {n_foc_len:.0f} \\n' +\n",
+    "        f'→ ({n_det_cen[0]:.0f}, {n_det_cen[1]:.0f}) \\n' +\n",
+    "        f'→ ({n_disto[0]:.2f}, {n_disto[1]:.4f}, {n_disto[2]:.7f}) \\n' + \n",
+    "        f'→ {n_eph_time:.1f}')\n",
+    "\n",
+    "    plt.subplots_adjust(top=0.75)                         # Set Plot to bottom 3/4\n",
+    "    plt.gcf().text(0.02, 0.85, text_labels, fontsize=10, color='black') # Put text on top\n",
+    "    plt.gcf().text(0.3, 0.85, old_values, fontsize=10, color='blue') # Put text on top\n",
+    "    plt.gcf().text(0.6, 0.85, new_values, fontsize=10, color='red') # Put text on top\n",
+    "    \n",
+    "    plt.show()                  # Show plot"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Stats/Footprint of original ISD"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "focal_length_model:      {'focal_length': 352.9271664}\n",
+      "detector_center:         {'line': 0.430442527, 'sample': 2542.96099}\n",
+      "optical_distortion:      {'radial': {'coefficients': [-0.007343392592005451, 2.83758786362417e-05, 1.28419891240271e-08]}}\n",
+      "center_ephemeris_time:   216723488.96431854\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Load Dict from JSON-style ISD File\n",
+    "isd_file = 'csm-sandbox-isd-file.json'\n",
+    "isd_file_mod = 'csm-sandbox-isd-file-mod.json'\n",
+    "\n",
+    "# The included ISD file in this example came from\n",
+    "# the P01_001404_1722_XI_07S090W.IMG MRO CTX image.\n",
+    "\n",
+    "with open(isd_file) as json_file:\n",
+    "    isd_dict = json.load(json_file)\n",
+    "\n",
+    "# Print selected values from ISD\n",
+    "print_stats(isd_dict, ('focal_length_model', 'detector_center', 'optical_distortion', 'center_ephemeris_time'))\n",
+    "\n",
+    "# Create Camera Model\n",
+    "camera = csm.create_csm(isd_file)\n",
+    "\n",
+    "# Get the footprint using the model\n",
+    "boundary = csm.generate_boundary((isd_dict['image_lines'], isd_dict['image_samples']))\n",
+    "lons, lats, alts = csm.generate_latlon_boundary(camera, boundary)\n",
+    "\n",
+    "# # This line can plot the footprint of the original ISD\n",
+    "# plot_footprint(lons, lats, [5,1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Modify ISD/write to file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Adjust Sliders to add or subtract from the values at the following ISD Keys.\n",
+      "Note: \u001b[34mThe original blue footprint is staying in the same place.\u001b[0m\n",
+      "\u001b[31mThe modifications to the ISD change the geometry of the new red footprint.\u001b[0m\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "9be401ac78b94ec0acf58eb457264637",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(FloatSlider(value=0.0, description='Focal Length', layout=Layout(width='600px'), max=250…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# clear the plot from any previous footprints/plots\n",
+    "plt.close()\n",
+    "\n",
+    "# Copy the ISD Dictionary, we will modify it and compare to the original.\n",
+    "isd_dict_mod = copy.deepcopy(isd_dict)\n",
+    "\n",
+    "print('Adjust Sliders to add or subtract from the values at the following ISD Keys.')\n",
+    "print('Note: \\033[34mThe original blue footprint is staying in the same place.\\033[0m')\n",
+    "print('\\033[31mThe modifications to the ISD change the geometry of the new red footprint.\\033[0m')\n",
+    "print()\n",
+    "\n",
+    "# Slider Widgets\n",
+    "wide_lay  = Layout(width='600px')\n",
+    "wide_desc = {'description_width': '150px'}\n",
+    "@widgets.interact(\n",
+    "        fl_add=widgets.FloatSlider(min=-250, max=250, step=1, description='Focal Length', layout=wide_lay, style=wide_desc, readout_format='.0f'), \n",
+    "        dcl_add=widgets.FloatSlider(min=-4000, max=4000, step=50, description='Detector Center Line', layout=wide_lay, style=wide_desc, readout_format='.0f'),\n",
+    "        dcs_add=widgets.FloatSlider(min=-4000, max=4000, step=50, description='Detector Center Sample', layout=wide_lay, style=wide_desc, readout_format='.0f'),\n",
+    "        opt_x=widgets.FloatSlider(min=-1, max=1, step=0.01, description='Optical Distortion X', layout=wide_lay, style=wide_desc, readout_format='.2f'),\n",
+    "        opt_y=widgets.FloatSlider(min=-0.003, max=0.003, step=0.0001, description='Optical Distortion Y', layout=wide_lay, style=wide_desc, readout_format='.4f'),\n",
+    "        opt_z=widgets.FloatSlider(min=-1e-5, max=1e-5, step=1e-7, description='Optical Distortion Z', layout=wide_lay, style=wide_desc, readout_format='.7f'),\n",
+    "        ect_add=widgets.FloatSlider(min=-20, max=20, step=0.1, description='Exposure (Center) Time', layout=wide_lay, style=wide_desc, readout_format='.1f')\n",
+    "    )\n",
+    "# This function executed whenever one of the slider widgets is adjusted\n",
+    "def exec_widget_function(fl_add, dcl_add, dcs_add, opt_x, opt_y, opt_z, ect_add):\n",
+    "\n",
+    "    # Note: print() statements within this function may cause flickering.\n",
+    "    #       Try writing something on the plot instead if you need output.\n",
+    "    \n",
+    "    # If you're curious where the ISD values came from, \n",
+    "    # Detector Center was from NAIF Boresight Line/Sample\n",
+    "    # Optical Distortion was from NAIF OD_K\n",
+    "    # ISIS uses the NAIF Keywords, but Knoten CSM uses other derived ISD values.\n",
+    "\n",
+    "    old_fl = isd_dict['focal_length_model']['focal_length']\n",
+    "    old_dcl = isd_dict['detector_center']['line']\n",
+    "    old_dcs = isd_dict['detector_center']['sample']\n",
+    "    old_odx = isd_dict['optical_distortion']['radial']['coefficients'][0]\n",
+    "    old_ody = isd_dict['optical_distortion']['radial']['coefficients'][1]\n",
+    "    old_odz = isd_dict['optical_distortion']['radial']['coefficients'][2]\n",
+    "    old_ect = isd_dict['center_ephemeris_time']\n",
+    "    \n",
+    "    new_values = {\n",
+    "        'focal_length_model': {'focal_length': old_fl + fl_add},\n",
+    "        'detector_center':    {'line': old_dcl + dcl_add, 'sample': old_dcs + dcs_add},\n",
+    "        'optical_distortion': {'radial': {'coefficients': [old_odx + opt_x, old_ody + opt_y, old_odz + opt_z]}},\n",
+    "        'center_ephemeris_time': old_ect + ect_add\n",
+    "    }\n",
+    "\n",
+    "    # Modify Values in Dictionary\n",
+    "    for key,value in new_values.items(): \n",
+    "        isd_dict_mod[key] = new_values[key]\n",
+    "\n",
+    "    # Write ISD to file\n",
+    "    with open(isd_file_mod, 'w') as json_file:\n",
+    "        json.dump(isd_dict_mod, json_file, indent=4)\n",
+    "\n",
+    "    # Create Camera Model\n",
+    "    camera = csm.create_csm(isd_file_mod)\n",
+    "\n",
+    "    # Get the footprint using the model\n",
+    "    boundary_mod = csm.generate_boundary((isd_dict_mod[\"image_lines\"], isd_dict_mod[\"image_samples\"]))\n",
+    "    lons_mod, lats_mod, alts_mod = csm.generate_latlon_boundary(camera, boundary_mod)\n",
+    "\n",
+    "    # Plot it\n",
+    "    plot_footprint_comparison((lons, lats, \"Original\"),(lons_mod, lats_mod, \"Modified\"), [7,3], isd_dict, isd_dict_mod)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    ".\n",
+    "\n",
+    "(This empty space below helps the above widget display with less jumping/flickering.)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "csm-sandbox",
+   "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": "3.12.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/docs/getting-started/csm-stack/csm-sandbox.zip b/docs/getting-started/csm-stack/csm-sandbox.zip
new file mode 100644
index 00000000..cf588405
Binary files /dev/null and b/docs/getting-started/csm-stack/csm-sandbox.zip differ
diff --git a/mkdocs.yml b/mkdocs.yml
index e74b4e8d..e857a873 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -40,6 +40,7 @@ nav:
   - Getting Started: 
     - Home: getting-started/index.md
     - CSM Stack:
+      - CSM Sandbox: getting-started/csm-stack/csm-sandbox.ipynb
       - Generating an ISD, creating a CSM model, and converting coordinates: getting-started/csm-stack/image-to-ground-tutorial.ipynb
       - Knoten - Basic Camera Operations: getting-started/csm-stack/knoten-camera-tutorial.ipynb
     - "Using ISIS: First Steps":