diff --git a/tradebooks/snr_vs_image_diameter.ipynb b/tradebooks/snr_vs_image_diameter.ipynb
deleted file mode 100644
index 3c19a46..0000000
--- a/tradebooks/snr_vs_image_diameter.ipynb
+++ /dev/null
@@ -1,1492 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Image Diameter Tradebook"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# stdlib\n",
-    "import math\n",
-    "from pathlib import Path\n",
-    "\n",
-    "# external\n",
-    "import astropy.units as unit\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import plot\n",
-    "from IPython.display import display\n",
-    "\n",
-    "# project\n",
-    "from architect import luts\n",
-    "from architect.libs import utillib\n",
-    "from architect.systems.optical import foreoptics, masks, sensors, spectrometers"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Setup\n",
-    "Run this section onwards when a parameter is updated."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Parameters"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# constants\n",
-    "target_wavelength = 1300 * unit.nm\n",
-    "orbital_altitude = 505 * unit.km\n",
-    "skew_angle = np.array([0, 0]) * unit.deg\n",
-    "slit_size = np.array([0.03, 38.]) * unit.mm         # width, height\n",
-    "focal_length = 50 * unit.mm\n",
-    "aperture_size = 35 * unit.mm\n",
-    "\n",
-    "# variables\n",
-    "image_diameter = np.array(np.arange(start=1, stop=100, step=1) * unit.mm)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### System Instantiation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# components\n",
-    "sensor = sensors.TauSWIR()\n",
-    "slit = masks.RectSlit(size=slit_size)\n",
-    "foreoptic = foreoptics.Foreoptic(\n",
-    "    focal_length=focal_length, diameter=aperture_size, image_diameter=image_diameter\n",
-    "    )\n",
-    "\n",
-    "# systems\n",
-    "payload = spectrometers.HyperspectralImager(\n",
-    "    sensor=sensor, foreoptic=foreoptic, slit=slit\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Pipeline\n",
-    "The computational graph"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "       3.68431311e+01, 2.98474083e+01, 2.46700153e+01, 2.07314145e+01,\n",
-       "       1.76657971e+01, 1.52330372e+01, 1.32702259e+01, 1.16636858e+01,\n",
-       "       1.03321409e+01, 9.21623487e+00, 8.27180195e+00, 7.46543020e+00,\n",
-       "       6.77146592e+00, 6.16994823e+00, 5.64515787e+00, 5.18457981e+00,\n",
-       "       4.77815035e+00, 4.41770270e+00, 4.09655359e+00, 3.80919126e+00,\n",
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-       "       6.27307182e-01, 6.09512374e-01, 5.92464138e-01, 5.76121290e-01,\n",
-       "       5.60445444e-01, 5.45400791e-01, 5.30953895e-01, 5.17073501e-01,\n",
-       "       5.03730376e-01, 4.90897143e-01, 4.78548151e-01, 4.66659339e-01,\n",
-       "       4.55208124e-01, 4.44173291e-01, 4.33534895e-01, 4.23274170e-01,\n",
-       "       4.13373450e-01, 4.03816088e-01, 3.94586389e-01, 3.85669544e-01,\n",
-       "       3.77051572e-01, 3.68719264e-01, 3.60660132e-01, 3.52862364e-01,\n",
-       "       3.45314780e-01, 3.38006790e-01, 3.30928360e-01, 3.24069975e-01,\n",
-       "       3.17422608e-01, 3.10977689e-01, 3.04727082e-01])"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "radiance = luts.load(\"atmosphere/radiance_min\")\n",
-    "snr = []\n",
-    "for i in image_diameter:\n",
-    "    foreoptic = foreoptics.Foreoptic(\n",
-    "    focal_length=focal_length, diameter=aperture_size, image_diameter=image_diameter[int(i)-1] * unit.mm\n",
-    "    )\n",
-    "    payload = spectrometers.HyperspectralImager(\n",
-    "    sensor=sensor, foreoptic=foreoptic, slit=slit\n",
-    "    )\n",
-    "    snr_i = payload.get_signal_to_noise(radiance=radiance, wavelength=target_wavelength)\n",
-    "    snr.append(snr_i)\n",
-    "snr = np.array(snr)\n",
-    "display(snr)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Plots"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
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-       "    Image Diameter [mm]          SNR\n",
-       "0                   1.0  2812.162721\n",
-       "1                   2.0   735.000045\n",
-       "2                   3.0   329.516018\n",
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-       "HyperspectralImager \n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Value</th>\n",
-       "      <th>Units</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>foreoptic</th>\n",
-       "      <td>Foreoptic</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>slit</th>\n",
-       "      <td>RectSlit</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>diffractor</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>sensor</th>\n",
-       "      <td>TauSWIR</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>systems</th>\n",
-       "      <td>list [4]</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>dimensions</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mass</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>volume</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>density</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
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-       "      <th>index</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>transmittance</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>spatial_resolution</th>\n",
-       "      <td>None</td>\n",
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-   ],
-   "source": [
-    "image_diameter_label = f\"Image Diameter [mm]\"\n",
-    "snr_label = f\"SNR\"\n",
-    "\n",
-    "data = {\n",
-    "    image_diameter_label: image_diameter,\n",
-    "    snr_label: snr,\n",
-    "}\n",
-    "\n",
-    "df = pd.DataFrame.from_dict(data=data)\n",
-    "fig = plot.line(\n",
-    "    df=df,\n",
-    "    x=image_diameter_label,\n",
-    "    y=snr_label,\n",
-    "    title=\"SNR v/s Image Diameter\",\n",
-    "    dark=True,\n",
-    ")\n",
-    "\n",
-    "fig.show()\n",
-    "display(df)\n",
-    "display(payload)"
-   ]
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diff --git a/tradebooks/spectral_resolution_vs_beam_diameter.ipynb b/tradebooks/spectral_resolution_vs_beam_diameter.ipynb
deleted file mode 100644
index 6ffc600..0000000
--- a/tradebooks/spectral_resolution_vs_beam_diameter.ipynb
+++ /dev/null
@@ -1,1476 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Spectral Resolution v/s Beam Diameter"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# stdlib\n",
-    "import math\n",
-    "from pathlib import Path\n",
-    "\n",
-    "# external\n",
-    "import astropy.units as unit\n",
-    "import numpy as np\n",
-    "import pandas as pd\n",
-    "import plot\n",
-    "from IPython.display import display\n",
-    "\n",
-    "# project\n",
-    "from architect import luts\n",
-    "from architect.libs import utillib\n",
-    "from architect.systems.optical import foreoptics, masks, sensors, spectrometers, diffractors"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Setup\n",
-    "Run this section onwards when a parameter is updated."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Parameters"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# constants\n",
-    "target_wavelength = 1300 * unit.nm\n",
-    "lower_wavelength = 900 * unit.nm    # for sensor spectral resolution\n",
-    "upper_wavelength = 1700 * unit.nm   # for sensor spectral resolution\n",
-    "fringe_frequency = 600 * (1 / unit.mm)\n",
-    "\n",
-    "# variables\n",
-    "beam_diameter = np.arange(start=1, stop=100, step=1) * unit.mm"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### System Instantiation"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# components\n",
-    "sensor = sensors.TauSWIR()\n",
-    "diffractor = diffractors.VPHGrism(fringe_frequency=fringe_frequency)\n",
-    "\n",
-    "# systems\n",
-    "payload = spectrometers.HyperspectralImager(\n",
-    "    sensor=sensor, diffractor=diffractor\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Pipeline\n",
-    "The computational graph"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/latex": [
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-   "source": [
-    "# only considered optical spectral resolution because sensor spectral reoslution is not impacted by beam diameter\n",
-    "\n",
-    "optical_spectral_resolution = payload.get_optical_spectral_resolution(target_wavelength=target_wavelength, beam_diameter=beam_diameter)\n",
-    "display(optical_spectral_resolution)"
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-   "source": [
-    "## Plots"
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-       "    Beam Diameter [mm]  Optical Spectral Resolution [nm]\n",
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-       "      <th>foreoptic</th>\n",
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-       "      <th>diffractor</th>\n",
-       "      <td>VPHGrism</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>sensor</th>\n",
-       "      <td>TauSWIR</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>systems</th>\n",
-       "      <td>list [4]</td>\n",
-       "      <td>None</td>\n",
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-    "beam_diameter_label = f\"Beam Diameter [{beam_diameter.unit}]\"\n",
-    "optical_spectral_resolution_label = f\"Optical Spectral Resolution [{optical_spectral_resolution.unit}]\"\n",
-    "\n",
-    "data = {\n",
-    "    beam_diameter_label: beam_diameter[:],\n",
-    "    optical_spectral_resolution_label: optical_spectral_resolution[:],\n",
-    "}\n",
-    "\n",
-    "df = pd.DataFrame.from_dict(data=data)\n",
-    "fig = plot.line(\n",
-    "    df=df,\n",
-    "    x=beam_diameter_label,\n",
-    "    y=optical_spectral_resolution_label,\n",
-    "    title=\"Spectral Resolution v/s Beam Diameter\",\n",
-    "    dark=True,\n",
-    ")\n",
-    "\n",
-    "fig.show()\n",
-    "display(df)\n",
-    "display(payload)"
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