1 citations · 1 across the 2 of their papers we have counts for
2 papers
astro-ph.EP2024★ 1 cited
A New Monte-Carlo Model for the Space Environment
Daniel Jang, Davide Gusmini, Peng Mun Siew +4
This paper introduces a novel Monte Carlo (MC) method to simulate the evolution of the low-earth orbit environment, enhancing the MIT Orbital Capacity Analysis Tool (MOCAT). In rec…
physics.space-ph2024
Towards a Machine Learning-Based Approach to Predict Space Object Density Distributions
Victor Rodriguez-Fernandez, Sumiyajav Sarangerel, Peng Mun Siew +3
With the rapid increase in the number of Anthropogenic Space Objects (ASOs), Low Earth Orbit (LEO) is facing significant congestion, thereby posing challenges to space operators an…