Comprehensive Parameter Determination of Exoplanet through Asteroseismic Host Star Constraints

TL;DR

This paper presents a framework that uses asteroseismic data from Kepler and TESS to precisely determine host star parameters, thereby improving exoplanet characterization through Bayesian analysis and MCMC methods.

Contribution

It introduces a novel approach combining asteroseismic constraints with Bayesian inference to enhance the accuracy of exoplanet property estimation, especially for evolved host stars.

Findings

Improved precision in planetary mass and radius estimates.

Effective application of MCMC for posterior distribution extraction.

Enhanced understanding of planetary system architectures.

Abstract

This study develops a robust framework for exoplanet characterization by leveraging asteroseismic constraints on host stars. Using precise photometric data from missions such as \textit{Kepler} and \textit{TESS}, we derive stellar parameters, including mass, radius, and age, with high accuracy through asteroseismic analysis. These stellar parameters are incorporated as priors in a Bayesian framework to refine planetary properties such as mass, radius, and orbital parameters. By applying Markov Chain Monte Carlo (MCMC) methods, we extract posterior distributions of planetary parameters, achieving significant improvements in precision and reliability. This approach is particularly effective for systems with evolved host stars, where precise stellar properties are essential for resolving uncertainties in planetary characterization. The results demonstrate the importance of asteroseismology in bridging stellar astrophysics and exoplanet science, enabling detailed studies of planetary system architectures and their dependence on host star properties. Our methodology underscores the synergy between stellar and planetary studies, paving the way for future research on exoplanet populations. This work provides a foundation for utilizing data from upcoming missions like \textit{PLATO}, ensuring continued advancements in the precision and scope of exoplanet characterization.