Manager: Isba Keshwani
Learning Objectives: Python, Stellar Evolution and Dynamics
Binary stars are among the most common astrophysical system and can give us insight into typical pathways for stellar evolution. The different classification types of binary stars are visual binaries, astrometric binaries, spectroscopic binaries, and photometric binaries. We want to be able to use the data collected from stellar catalogs like Gaia and SDSS to come up with classification criteria that are a function of the binary masses, radii, and other orbit features like eccentricities. We would also like to deduct commentary on how evolved a binary system is based on the category it falls in. Prior literature suggests that mass accretion would imply a more evolved orbit, which is synonymously more circularized. Therefore, if a binary system has a more circular orbit, the system is also probably evolved because it has had more time to accrete mass. We wish to test this proposition by looking at binary systems with higher eccentricity and trying to prove that they are more evolved.