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20202026
most citedClosing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming

21 citations · 52 across the 27 of their papers we have counts for

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Showing physics.space-phShow all

5 papers · 1 filter

physics.space-ph2024★ 9 cited

Nonlinear Propagation of Non-Gaussian Uncertainties

Giacomo Acciarini, Nicola Baresi, David Lloyd +1

This paper presents a novel approach for propagating uncertainties in dynamical systems building on high-order Taylor expansions of the flow and moment-generating functions (MGFs).…

physics.space-ph2024

Global Optimization for Trajectory Design via Invariant Manifolds in the Earth-Moon Circular Restricted Three-Body Problem

Flavio Tagliaferri, Emmanuel Blazquez, Giacomo Acciarini +1

This study addresses optimal impulsive trajectory design within the Circular Restricted Three-Body Problem (CR3BP), presenting a global optimization-based approach to identify mini…

physics.space-ph2024★ 1 cited

Stochastic Continuation of Trajectories in the Circular Restricted Three-Body Problem via Differential Algebra

Giacomo Acciarini, Nicola Baresi, David J. B. Lloyd +1

Numerical continuation techniques are powerful tools that have been extensively used to identify particular solutions of nonlinear dynamical systems and enable trajectory design in…

physics.space-ph2024

Breaking traditions: introducing a surrogate Primer Vector in non Keplerian dynamics

Laurent Beauregard, Dario Izzo, Giacomo Acciarini

In this study, we investigate trajectories involving multiple impulses within the framework of a generic spacecraft dynamics. Revisiting the age-old query of "How many impulses?",…

physics.space-ph2023

High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery

Shreshth A. Malik, James Walsh, Giacomo Acciarini +2

Accurate estimation of thermospheric density is critical for precise modeling of satellite drag forces in low Earth orbit (LEO). Improving this estimation is crucial to tasks such…