A Monte Carlo based simulation of the galactic chemical evolution of the Milky Way galaxy
Sandeep Sahijpal, Tejpreet Kaur

TL;DR
This paper develops a Monte Carlo simulation to model the Milky Way's chemical evolution, analyzing how different accretion scenarios, star formation efficiency, and gas flows influence elemental abundance gradients and galactic structure.
Contribution
It introduces a novel Monte Carlo approach incorporating multiple accretion scenarios and SN Ia delay time distributions to better predict galactic chemical evolution.
Findings
Steep inner and shallow outer abundance gradients match observations.
Radial gas inflows explain the inversion of abundance gradients around 2 Gyr.
Three-infall model outperforms two-infall in explaining halo and disc compositions.
Abstract
The formation and chemical evolution of the Milky Way Galaxy is numerically simulated by developing a Monte Carlo approach to predict the elemental abundance gradients and other galactic features using the revised solar abundance. The galaxy is accreted gradually by using either a two-infall or a three-infall accretion scenario. The galaxy is chemically enriched by the nucleosynthetic contributions from an evolving ensemble of generations of stars. We analyse the role of star formation efficiency. The influence of the radial gas inflow as well as radial gas mixing on the evolution of galaxy is also studied. The SN Ia delay time distribution (DTD) is incorporated by synthesizing SN Ia populations using random numbers based on a distribution function. The elemental abundance evolutionary trends corroborate fractional contributions of ~0.1 from prompt ( < 100 Myr) SN Ia population. The…
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