Dynamical Mass Estimates of the $\beta$ Pictoris Planetary System Through Gaussian Process Stellar Activity Modelling
Thomas Vandal, Julien Rameau, Ren\'e Doyon

TL;DR
This study uses Gaussian Process modeling to effectively suppress stellar pulsations in RV data, enabling precise dynamical mass estimates of the $eta$ Pictoris planets from combined RV and astrometry data.
Contribution
It introduces a GP-based approach for stellar activity modeling that simplifies analysis and extends the RV baseline, allowing for accurate mass and orbit determination of the planets.
Findings
Masses of $eta$ Pic b and c are 11.7±1.4 and 8.5±0.5 M$_{Jup}$ respectively.
Orbital parameters favor low eccentricity for $eta$ Pic b and higher eccentricity for $eta$ Pic c.
The method extends RV analysis to poorly sampled data, improving system characterization.
Abstract
Nearly 15 years of radial velocity (RV) monitoring and direct imaging enabled the detection of two giant planets orbiting the young, nearby star Pictoris. The Scuti pulsations of the star, overwhelming planetary signals, need to be carefully suppressed. In this work, we independently revisit the analysis of the RV data following a different approach than in the literature to model the activity of the star. We show that a Gaussian Process (GP) with a stochastically driven damped harmonic oscillator kernel can model the Scuti pulsations. It provides similar results as parametric models but with a simpler framework, using only 3 hyperparameters. It also enables to model poorly sampled RV data, that were excluded from previous analysis, hence extending the RV baseline by nearly five years. Altogether, the orbit and the mass of both planets can be constrained from…
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