MIT Orbital Capacity Assessment Toolbox - Monte Carlo
MIT ARCLab's Monte-Carlo Tool for long-term propagation of the LEO environment
MOCAT-MC is developed in MATLAB.
For a Quick_Start, run:
./Examples/Quick_Start/Quick_Start.m
For a No Future Launch scenario starting with the epoch of Jan 1, 2020 in a 3-seed Monte Carlo case, run:
./Examples/Scenario_No_Launch/Scenario_No_Launch.m
MOCAT’s initial development has been supported by the Defense Advanced Research Projects Agency (DARPA) under Grant N66001-20-1-4028, NASA’s Office of Technology and Strategy, under Grant Number NNH22ZDA001N-ESPOD.
Research was sponsored by the Department of the Air Force Artificial Intelligence Accelerator and was accomplished under Cooperative Agreement Number FA8750-19-2-1000. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Department of the Air Force or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.
This project utilizes code, partially or in full, from the following sources:
Vallado, D. A. (2007). Fundamentals of Astrodynamics and Applications. Microcosm Press.
Rino, C. (2010). Satellite Orbit Computation
Copyright (c) 2023 ARCLab
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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@article{Jang2024Monte,
title={A New Monte-Carlo Model for the Space Environment},
author={Daniel Jang and Davide Gusmini and Peng Mun Siew and Andrea D'Ambrosio and Simone Servadio and Pablo Machuca and Richard Linares},
year={2024},
eprint={2405.10430},
archivePrefix={arXiv},
primaryClass={astro-ph.EP},
url={https://arxiv.org/abs/2405.10430},
}