Iteratively Constraining Binary Stellar Evolution Models with Gravitational-Wave Observations

Gravitational-wave observations from LIGO/Virgo/KAGRA are already transforming how we understand the evolution of binary star systems. Scientists are looking between formation channels which can predict the formation of these merging black holes and neutron stars. One of these formation channels is the isolated evolution of massive stellar binaries. However, models of supernova kick velocity, mass transfer, and stellar wind are still being developed in order to properly explain the observed population of compact binaries. I demonstrate a method for using gravitational-wave observations to constrain these evolutionary pathways, using Bayesian inference and detailed binary evolution population synthesis models. Our preliminary results indicate an efficient phase of dynamically stable mass transfer, substantial supernova recoil kicks, and reduced mass-loss rates by stellar wind.