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arXiv · 2510.23179

Open-Source High-Fidelity Orbit Estimation for Planetary Science and Space Situational Awareness Using the Tudat Software

Abstract

The TU Delft Astrodynamics Toolbox (Tudat) is a free open-source software suite for research and education in astrodynamics. Initially focused on numerical simulations of orbital dynamics and state estimation, it enables combining optical and radiometric tracking data from multiple sources to estimate the dynamics and parameters of natural and artificial bodies. Recent developments have added functionality for real tracking data analysis, with applications to planetary missions and Space Situational Awareness (SSA). Tudat currently supports processing of (i) deep-space Doppler and range data from DSN and ESTRACK, (ii) Doppler and VLBI data from the PRIDE experiment, and (iii) optical astrometry from the Minor Planet Center (MPC) and Natural Satellite Data Center (NSDC). Using tracking data from the MRO and GRAIL spacecraft and astrometric data of the asteroid Eros, we present prefit residuals (from SPICE-based observables) and postfit residuals (from fitting data to the Tudat dynamical model). Postfit Doppler residuals reach 1-5 mHz for MRO and GRAIL, orbit differences are a few meters for GRAIL and about one meter for MRO, and MRO range residuals are a few meters. From eight years of Eros astrometry, we obtain an orbit difference from the JPL Horizons solution by several tens of kilometers, consistent with its 3-sigma formal error. Tudat's SSA capability is demonstrated by propagating the orbit of Kosmos 482, a Venus lander launched in 1972 that remained in Earth orbit, over 50 years, including its predicted re-entry on May 10 2025. These examples showcase Tudat's modular, flexible, high-fidelity modeling across diverse orbital regimes within a fully open-source framework. All example code is publicly available, and future Tudat analyses will be published with fully reproducible code, allowing anyone in the community to improve and expand upon our work.

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Luigi Gisolfi, Dominic Dirkx, Sam Fayolle, Valerio Filice, Riva Alkahal, Miguel Avillez, Tristan Dijkstra, Jonas Hener, Lars Hinüber, Marco Langbroek, Nicolò Maistri, Michael Plumaris, Alfonso Sanchez Rodriguez, Giuseppe Cimò, Kevin Cowan, Fabien Dahmani, João Encarnacao, Geoffrey Garrett, Steve Gehly, Xuanyu Hu, Marceau Jeanjean, Antonio López Rivera, Andrea Minervino Amodio, Guifre Molera Calvés, Markus Reichel, Bart Root, Martin Søndergaard, Dominik Stiller, Simon Van Hulle, Gijs Verdoes Kleijn, Rees Williams, Daan Witte. 2025-10-27. Open-Source High-Fidelity Orbit Estimation for Planetary Science and Space Situational Awareness Using the Tudat Software. https://arxiv.org/abs/2510.23179

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