Rob Yates (Hertfordshire)

In this talk, I will present brand-new results on the implementation of binary star properties from BINARY_C into the L-GALAXIES galaxy evolution simulation. BINARY_C is a stellar evolution and nucleosynthesis framework designed to model both single and binary stars. L-GALAXIES is a semi-analytic simulation of galaxy evolution which can efficiently model many millions of galaxies from very high redshift to the present day. I will begin by discussing the implementation itself, which utilises ensemble population properties generated using BINARY_C-PYTHON. The chemical yields (for a wide range of elements and sources), as well as supernova and other transient rates, from these ensembles are used as inputs into L-GALAXIES, allowing us to study galaxy chemical evolution (GCE) in a statistically significant way with much more realism than is possible when using simple single-star yields. I will then present some preliminary results from this implementation, including (a) the impact of binary stars on the general galaxy population, (b) the radial distribution of various chemical elements in the gas and stars of the Milky Way, and (c) the abundance and provenance of Al26 in the solar neighbourhood. I will conclude by outlining some of the future work planned for BINARY_C + L-GALAXIES, including charting the rates of neutron star mergers and other transient phenomena as a function of time and metallicity throughout in the Universe.