jaxsgp4: GPU-accelerated mega-constellation propagation with batch parallelism
As the population of anthropogenic space objects transitions from sparse clusters to mega-constellations exceeding 100,000 satellites, traditional orbital propagation techniques face a critical bottleneck. Standard CPU-bound implementations of the Simplified General Perturbations 4 (SGP4) algorithm are less well suited to handle the requisite scale of collision avoidance and Space Situational Awareness (SSA) tasks. This paper introduces \texttt{jaxsgp4}, an open-source high-performance reimplementation of SGP4 utilising the \texttt{JAX} library. \texttt{JAX} has gained traction in the landscape of computational research, offering an easy mechanism for Just-In-Time (JIT) compilation, autom...
| Authors | Charlotte Priestley, Will Handley |
|---|---|
| Primary category | cs.DC |
| Published | 29 March 2026 |
| Last updated at source | 29 March 2026 |
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