Bayesian Rhapsody: The BASTA Way to Fit a Star

Understanding fundamental stellar properties – such as mass, radius, and age – is essential for studies of stellar evolution, exoplanet host characterization, and Galactic archaeology. The BAyesian STellar Algorithm (BASTA) is an open-source software package designed to perform precise and robust stellar inference by combining observables from asteroseismology, spectroscopy, photometry, and astrometry. BASTA offers a complete analysis pipeline tailored to oscillating main-sequence, subgiant, and red giant stars, but is also applicable when asteroseismic data are unavailable. It has been successfully used in over 150 published scientific studies and has been selected as the main foundation for the asteroseismic inference modules for the PLATO stellar pipeline. In this poster, we showcase BASTA’s latest features, highlight recent student-led work, and preview upcoming developments planned for release in 2025. This includes a redesigned user interface for improved accessibility (even with minimal Python experience), enhanced flexibility in the likelihood computation, and improved interpolation across stellar model grids. With these developments, BASTA continues to grow as a powerful, user-friendly tool for the stellar community.