Stellar occultations in support of the LUMIO orbit determination

This work investigates the use of stellar occultation measurements to enhance the orbit determination performance of the Lunar Meteoroid Impact Observer (LUMIO) mission, operating from a quasi-Halo orbit around the Earth-Moon L2 point. During science phases, when radiometric tracking is sparse and low illumination limits conventional optical navigation methods, occultation events, defined as precise timings of stellar appearances/disappearances behind the Moon's limb, offer a suitable alternative. A simulation tool based on JPL's MONTE library was developed to identify valid occultation events, applying geometric and illumination constraints to exclude non-observable cases. These events were integrated into a batch least-squares orbit determination filter alongside conventional radiometric data. The covariance analysis shows that occultation observables reduce the transverse and normal position uncertainties of LUMIO by up to a factor of two, especially during tracking gaps or occultation-rich arcs. This uncertainty reduction is expected to facilitate station-keeping operations and constrain the surface localization of Lunar Impact Flashes (LIFs), enhancing the mission's scientific return. Sensitivity analyses confirm that the orbit determination performance is primarily driven by the timing accuracy of occultation events, with limited dependence on lunar shape uncertainty below 100 m. These findings confirm the potential of occultation-based navigation to enhance spacecraft autonomy and robustness in low-visibility environments, making it a valuable complement to radiometric techniques for future lunar and deep-space missions.

Publication Details

Journal
ArXiv.org
Published
2025-09-04
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stellar occultations in support of the LUMIO orbit determination

ArXiv.org
Geochemistry and Geologic Mapping
article

Stellar occultations in support of the LUMIO orbit determination

article en

Abstract

This work investigates the use of stellar occultation measurements to enhance the orbit determination performance of the Lunar Meteoroid Impact Observer (LUMIO) mission, operating from a quasi-Halo orbit around the Earth-Moon L2 point. During science phases, when radiometric tracking is sparse and low illumination limits conventional optical navigation methods, occultation events, defined as precise timings of stellar appearances/disappearances behind the Moon's limb, offer a suitable alternative. A simulation tool based on JPL's MONTE library was developed to identify valid occultation events, applying geometric and illumination constraints to exclude non-observable cases. These events were integrated into a batch least-squares orbit determination filter alongside conventional radiometric data. The covariance analysis shows that occultation observables reduce the transverse and normal position uncertainties of LUMIO by up to a factor of two, especially during tracking gaps or occultation-rich arcs. This uncertainty reduction is expected to facilitate station-keeping operations and constrain the surface localization of Lunar Impact Flashes (LIFs), enhancing the mission's scientific return. Sensitivity analyses confirm that the orbit determination performance is primarily driven by the timing accuracy of occultation events, with limited dependence on lunar shape uncertainty below 100 m. These findings confirm the potential of occultation-based navigation to enhance spacecraft autonomy and robustness in low-visibility environments, making it a valuable complement to radiometric techniques for future lunar and deep-space missions.

ArXiv.org
Openalex Percentile: Top 51%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.