Inferred Properties of Planets in Mean-Motion Resonances are Biased by Measurement Noise
David Jensen, Sarah C. Millholland

TL;DR
Measurement noise systematically biases inferred libration amplitudes in resonant planetary systems, leading to overestimations of their resonance depth, which can be mitigated with specific priors.
Contribution
This study reveals how measurement noise biases libration amplitude estimates in resonant planets and proposes strategies to correct this bias, improving dynamical characterizations.
Findings
Measurement noise causes overestimation of libration amplitudes.
Bias increases with higher noise levels.
Using specific priors can mitigate the bias.
Abstract
Planetary systems with mean-motion resonances (MMRs) hold special value in terms of their dynamical complexity and their capacity to constrain planet formation and migration histories. The key towards making these connections, however, is to have a reliable characterization of the resonant dynamics, especially the so-called "libration amplitude", which qualitatively measures how deep the system is into the resonance. In this work, we identify an important complication with the interpretation of libration amplitude estimates from observational data of resonant systems. Specifically, we show that measurement noise causes inferences of the libration amplitude to be systematically biased to larger values, with noisier data yielding a larger bias. We demonstrated this through multiple approaches, including using dynamical fits of synthetic radial velocity data to explore how the the…
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Taxonomy
TopicsAstro and Planetary Science · Stellar, planetary, and galactic studies · Astrophysics and Star Formation Studies
