Detecting planet pairs in mean motion resonances via astrometry method
Dong-Hong Wu, Hui-Gen Liu, Zhou-Yi Yu, Hui-Zhang, Ji-Lin Zhou

TL;DR
This paper demonstrates that high-precision astrometry, like GAIA's, can effectively detect and characterize exoplanet pairs in mean motion resonances, with high accuracy especially for Jupiter pairs, aiding understanding of planetary system formation.
Contribution
It introduces a method to identify and reconstruct resonant planet pairs using astrometry, analyzing detection probabilities and effects of data cadence and system parameters.
Findings
High SNR (>10) enables over 80% reconstruction probability for resonant pairs.
Jupiter pairs are easier to detect than super-Earth pairs at similar SNR.
More uniform data sampling improves measurement accuracy.
Abstract
GAIA leads us to step into a new era with a high astrometry precision of 10 uas. Under such a precision, astrometry will play important roles in detecting and characterizing exoplanets. Specially, we can identify planet pairs in mean motion resonances(MMRs) via astrometry, which constrains the formation and evolution of planetary systems. In accordance with observations, we consider two Jupiters or two super-Earths systems in 1:2, 2:3 and 3:4 MMRs. Our simulations show the false alarm probabilities(FAPs) of a third planet are extremely small while the real two planets can be good fitted with signal-to-noise ratio(SNR)> 3. The probability of reconstructing a resonant system is related with the eccentricities and resonance intensity. Generally, when SNR >= 10, if eccentricities of both planets are larger than 0.01 and the resonance is quite strong, the probabilities to reconstruct the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
