This paper presents an analysis of stellar ages and properties for a sample of stars hosting exoplanets in their habitable zones, using the BASE-9 software. BASE-9 employs Bayesian statistics to model..
This paper presents an analysis of stellar ages and properties for a sample of stars hosting exoplanets in their habitable zones, using the BASE-9 software. BASE-9 employs Bayesian statistics to model stellar parameters such as age, mass, metallicity, and distance by fitting observed photometric data to theoretical isochrones. The primary goal of this study is to determine more accurate ages for these host stars, which is critical for understanding the long-term habitability of their exoplanets. Our sample consists of 5 stars with well-characterized exoplanets, and we utilize a combination of observational data, including photometry and spectroscopy, to constrain the models. The stars chosen were Mu Arae, Upsilon Andromedae, HD11964, HD4732, and HD73534. The results show that the ages of these stars to be 7.02, 3.60, 8.23, 3.31, and 4.06 billion years respectively. The implications of these findings for exoplanet habitability and stellar evolution are discussed in detail. By improving the precision of stellar age estimates, this research contributes to a deeper understanding of the evolutionary history of stars with potentially habitable exoplanets. Our results also underscore the importance of using advanced modeling techniques like BASE-9 for stellar characterization in exoplanet studies.