Multi-Messenger Framework for Exoplanet Biosignature Detection: Methodology, Bayesian Evidence Framework, False-Positive Rejection, and Transit Timing Variation Analysis

Key Points

• The aim is to develop a comprehensive framework for detecting biosignatures on exoplanets using multiple data sources.
• Integration of JWST transmission spectroscopy, TESS transit timing variations, and ESA Gaia DR3 stellar astrometry.
• Application of a Bayesian log-evidence framework for data analysis.
• Utilization of N-body dynamics to refine exoplanet models.
• No biosignature was claimed; the framework focuses on methodological development instead.
• The pipeline was demonstrated using real TRAPPIST-1 d/e light curves and O-C residual data.
• Public availability of all related data, including priority target tables and Bayesian framework figures.