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Stars are fundamental to astrophysics, with approximately half existing in binary systems. Understanding the evolution of these binaries is crucial for explaining phenomena from the existence of blue straggler stars to the diversity of explosive transients, to black-hole and neutron-star mergers. Modeling these observables requires state-of-the-art modeling of stars and their interactions. POSYDON, a cutting-edge publicly available binary population synthesis code, exemplifies an exciting new modeling paradigm. It incorporates detailed stellar structure and binary simulations from MESA (an open-source 1D stellar evolution code), striking a balance between speed and accuracy. This provides the best of both worlds, making it particularly well-suited for gravitational wave data analysis. In this presentation, I delve into how binary stars are modeled in this framework and discuss key mechanisms in developing the new version of POSYDON: wind Roche-lobe overflow and the impact of magnetic braking on angular momentum evolution in binaries. I also discuss the future applications of POSYDON.
Dr. Meng Sun is a postdoc at the Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA), Northwestern University. She completed her undergraduate studies in Physics at Sichuan University and received her Ph.D degree in Astronomy from the University of Virginia. Her thesis focused on pulsating white dwarfs and tidal orbital decay in binaries. Additionally, she specializes in stellar astrophysics, contributing to a variety of projects covering diverse topics, including exoplanets, massive stars, young stars, and evolved stars, as well as compact objects.
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