We update the treatment of chemical evolution in the Munich semi-analytic model, L-GALAXIES. Our new implementation includes delayed enrichment from stellar winds, Type II supernovae (SNe-II) and Type Ia supernovae (SNe-Ia), as well as metallicity-dependent yields and a reformulation of the associated supernova feedback. Two different sets of SN-II yields and three different SN-Ia delay-time distributions (DTDs) are considered, and 11 heavy elements (including O, Mg and Fe) are self-consistently tracked. We compare the results of this new implementation with data on (a) local, star-forming galaxies, (b) MilkyWay disc G dwarfs and (c) local, elliptical galaxies. We find that the z = 0 gas-phase mass-metallicity relation is very well reproduced for all forms of DTD considered, as is the [Fe/H] distribution in the Milky Way disc. The [O/Fe] distribution in the MilkyWay disc is best reproduced when using a DTD with ≤50 per cent of SNe-Ia exploding within ~400 Myr. Positive slopes in the mass-[α/Fe] relations of local ellipticals are also obtained when using a DTD with such a minor 'prompt' component. Alternatively, metal-rich winds that drive light a elements directly out into the circumgalactic medium also produce positive slopes for all forms of DTD and SN-II yields considered. Overall, we find that the best model for matching the wide range of observational data considered here should include a power-law SN-Ia DTD, SN-II yields that take account of prior mass-loss through stellar winds and some direct ejection of light a elements out of galaxies. © 2013 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. © 2013 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society.
CITATION STYLE
Yates, R. M., Henriques, B., Thomas, P. A., Kauffmann, G., Johansson, J., & White, S. D. M. (2013). Modelling element abundances in semi-analytic models of galaxy formation. Monthly Notices of the Royal Astronomical Society, 435(4), 3500–3520. https://doi.org/10.1093/mnras/stt1542
Mendeley helps you to discover research relevant for your work.