| Issue |
A&A
Volume 705, January 2026
|
|
|---|---|---|
| Article Number | A216 | |
| Number of page(s) | 9 | |
| Section | Planets, planetary systems, and small bodies | |
| DOI | https://doi.org/10.1051/0004-6361/202556676 | |
| Published online | 29 January 2026 | |
Astrometric exomoon detection by means of optical interferometry
1
European Southern Observatory,
Karl-Schwarzschildstrasse 2,
85748
Garching bei München,
Germany
2
LIRA, Observatoire de Paris, Université PSL, CNRS, Sorbonne Université, Université de Paris,
5 place Jules Janssen,
Meudon,
France
3
Institute of Astronomy, University of Cambridge,
Madingley Road,
Cambridge
CB3 0HA,
UK
4
Department of Physics & Astronomy, Johns Hopkins University,
3400 N. Charles Street,
Baltimore,
MD
21218,
USA
5
Space Telescope Science Institute,
3700 San Martin Drive,
Baltimore,
MD
21218,
USA
6
Max Planck Institute for extraterrestrial Physics,
Giessenbachstraße 1,
85748
Garching,
Germany
7
Max Planck Institute for Astronomy,
Königstuhl 17,
69117
Heidelberg,
Germany
8
French-Chilean Laboratory for Astronomy,
IRL 3386, CNRS and U. de Chile, Casilla 36-D,
Santiago,
Chile
9
Division of Space Research & Planetary Sciences, Physics Institute, University of Bern,
Gesellschaftsstr. 6,
3012
Bern,
Switzerland
10
Fakultät für Physik, Universität Duisburg-Essen,
Lotharstraße 1,
47057
Duisburg,
Germany
11
Univ. Grenoble Alpes, CNRS, IPAG,
38000
Grenoble,
France
12
European Space Agency (ESA), ESA Office, Space Telescope Science Institute,
3700 San Martin Drive,
Baltimore,
MD
21218,
USA
★ Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
31
July
2025
Accepted:
5
September
2025
Abstract
Context. With no conclusive detection to date, the search for exomoons, satellites of planets orbiting other stars, remains a formidable challenge. Detecting these objects, compiling a population-level sample and constraining their occurrence will inform planet and moon formation models and shed light on moon habitability.
Aims. Here, we demonstrate the possibility of a moon search based on astrometric time series data, repeated measurements of the position of a given planet relative to its host star. The perturbing influence of an orbiting moon induces a potentially detectable planetary reflex motion.
Methods. Based on an analytical description of the astrometric signal amplitude, we placed the expected signatures of putative moons around real exoplanets into context with our current and future astrometric measurement precision. Modelling the orbital perturbation as a function of time, we then simulated the detection process given different target system configurations, instrumental measurement precisions and numbers of observational epochs to obtain the first astrometric exomoon sensitivity curves.
Results. The astrometric technique already allows for the detection and characterisation of favourable moons around giant exoplanets and brown dwarfs. Since the detection sensitivity of this method is mainly governed by the achievable astrometric precision, long-baseline interferometry lends itself ideally to this pursuit. We find that, on the basis of 12 epochs obtained with VLTI/GRAVITY, it is already today possible to infer at a confidence of 5 σ the presence of a 0.14 MJup satellite at a separation of 0.39 AU around AF Lep b. Future facilities offering better precision will refine our sensitivity in both moon mass and separation from the host planet by several orders of magnitude.
Conclusions. The astrometric method of exomoon detection, especially when applied to interferometric observations, provides a promising avenue towards making the detection of these elusive worlds a reality and efficiently building a sample of confirmed objects. With a future facility that achieves an astrometric precision of 1 μas, probing for Earth-like moons within the habitable zone of a given star will become a realistic proposition.
Key words: planets and satellites: detection / planets and satellites: dynamical evolution and stability
© The Authors 2026
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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