diff --git a/architect/systems/optical/spectrometers.py b/architect/systems/optical/spectrometers.py index f3fb0d1..26741c1 100644 --- a/architect/systems/optical/spectrometers.py +++ b/architect/systems/optical/spectrometers.py @@ -377,6 +377,26 @@ def get_ground_target_error( return ground_error + def get_slew_rate( + self, + swath, + frame_rate, + number_of_frames, + orbital_altitude, + time + ): + """Get the slew rate from the frame rate of the sensor. + + Ref: https://www.notion.so/utat-ss/Slew-Rate-94e15b1c616e407ab0454d273893fad7?pvs=4 + + """ + term1 = (swath * frame_rate * time) / (number_of_frames * orbital_altitude) + term2 = (swath * frame_rate) / (number_of_frames * orbital_altitude) + + slew_rate = (1 / (1 + term1 * term1)) * term2 + + return slew_rate + class FINCHEye(HyperspectralImager): """A compact hyperspectral imaging payload.""" diff --git a/poetry.lock b/poetry.lock index 03455ca..443d9c6 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,18 +1,26 @@ +# This file 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step=10) * 1 / unit.mm\n", "# endregion" ] @@ -298,7 +299,7 @@ 0.18283076476340177, 0.0849684972102143, 0.02225904188522381, - 1.3835855601248883e-05, + 0.000013835855601248883, 0.020117028987762953, 0.08086589807006146, 0.17711506600808222, @@ -341,7 +342,7 @@ 0.18571502331415382, 0.08705430775830264, 0.023369738066646835, - 5.5342656681394646e-05, + 0.000055342656681394646, 0.019085830818050105, 0.07884933652987386, 0.17428394212980192, diff --git a/tradebooks/slew_rate_vs_frame_rate.ipynb b/tradebooks/slew_rate_vs_frame_rate.ipynb new file mode 100644 index 0000000..4437da7 --- /dev/null +++ b/tradebooks/slew_rate_vs_frame_rate.ipynb @@ -0,0 +1,1422 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Tradebook Template\n", + "Use this notebook as a template to create a tradebook." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "import astropy.units as unit\n", + "import numpy as np\n", + "import pandas as pd\n", + "import plot\n", + "\n", + "# projects\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": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# region constants\n", + "S_x = 0.2 * unit.m # swath dimensions in in the across track spatial dimension\n", + "N = 1000 * unit.dimensionless_unscaled # number of frames\n", + "h = 505000 * unit.m # orbital altitude\n", + "t = 100 * unit.s # time the satellite is on its orbital trajectory\n", + "# endregion\n", + "\n", + "# region variables\n", + "frame_rate = np.arange(start=10, stop=1200, step=10) * 1 / unit.s\n", + "# endregion" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### System Instantiation" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# components\n", + "sensor = sensors.TauSWIR()\n", + "foreoptic = foreoptics.Foreoptic()\n", + "slit = masks.RectSlit()\n", + "\n", + "# systems\n", + "payload = spectrometers.HyperspectralImager(sensor=sensor, foreoptic=foreoptic, slit=slit)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Pipeline\n", + "The computational graph" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "slew_rate = payload.get_slew_rate(\n", + " swath=S_x, frame_rate=frame_rate, number_of_frames=N, orbital_altitude=h, time=t\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plots" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + 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1141150.04.554455e-07
1151160.04.594059e-07
1161170.04.633663e-07
1171180.04.673267e-07
1181190.04.712871e-07
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119 rows × 2 columns

\n", + "
" + ], + "text/plain": [ + " Frame Rates Slew Rate\n", + "0 10.0 3.960396e-09\n", + "1 20.0 7.920792e-09\n", + "2 30.0 1.188119e-08\n", + "3 40.0 1.584158e-08\n", + "4 50.0 1.980198e-08\n", + ".. ... ...\n", + "114 1150.0 4.554455e-07\n", + "115 1160.0 4.594059e-07\n", + "116 1170.0 4.633663e-07\n", + "117 1180.0 4.673267e-07\n", + "118 1190.0 4.712871e-07\n", + "\n", + "[119 rows x 2 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "frame_rate_label = f\"Frame Rates\"\n", + "slew_rate_label = f\"Slew Rate\"\n", + "\n", + "data = {\n", + " frame_rate_label: frame_rate[:],\n", + " slew_rate_label: slew_rate[:],\n", + "}\n", + "\n", + "df = pd.DataFrame.from_dict(data=data)\n", + "\n", + "graph = plot.line(\n", + " df=df,\n", + " x=frame_rate_label,\n", + " y=slew_rate_label,\n", + " title=\"Slew Rate vs. Frame Rate\",\n", + " dark=True,\n", + ")\n", + "\n", + "graph.show()\n", + "display(df)" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "a051636751d8b8c3fb678ae2c2b84596f57742a247cc1675aae9ee3b371aaacc" + }, + "kernelspec": { + "display_name": "Python 3.10.4 ('.venv': poetry)", + "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": "3.10.8" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +}