Elemental Abundances in Milky Way-like Galaxies from a Hierarchical Galaxy Formation Model
Gabriella De Lucia, Luca Tornatore, Carlos S. Frenk, Amina Helmi,, Julio F. Navarro, Simon D. M. White

TL;DR
This paper introduces a new method for tracking individual stellar abundances in galaxy formation models, improving the accuracy of chemical evolution predictions for Milky Way-like galaxies.
Contribution
It presents a novel approach that projects metal production information into the future, enabling precise timing and property tracking of stellar populations in semi-analytic galaxy formation models.
Findings
The model's [Fe/H] distributions match Milky Way data for the disc component.
Predicted star formation rates are lower than models with instantaneous recycling.
The simulated halo reproduces the metallicity-luminosity relation of Milky Way satellites.
Abstract
We develop a new method to account for the finite lifetimes of stars and trace individual abundances within a semi-analytic model of galaxy formation. At variance with previous methods, based on the storage of the (binned) past star formation history of model galaxies, our method projects the information about the metals produced by each simple stellar population (SSP) in the future. Using this approach, an accurate accounting of the timings and properties of the individual SSPs composing model galaxies is possible. We analyse the dependence of our chemical model on various ingredients, and apply it to six simulated haloes of roughly Milky Way mass and with no massive close neighbour at z=0. For all models considered, the [Fe/H] distributions of the stars in the disc component are in good agreement with Milky Way data, while for the spheroid component (whose formation we model only…
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