Local variations of the radial metallicity gradient in a simulated NIHAO-UHD Milky Way analogue and their implications for (extra-)galactic studies
Sven Buder, Tobias Buck, Qian-Hui Chen, Kathryn Grasha

TL;DR
This study uses high-resolution simulations of a Milky Way-like galaxy to analyze metallicity gradients, revealing that non-linear models better capture the complexity and local variations, which are crucial for understanding galaxy evolution.
Contribution
It demonstrates that quadratic and piecewise linear models better fit metallicity gradients than simple linear models, highlighting the importance of considering non-linearities in galactic chemical evolution.
Findings
Global linear models slightly misestimate metallicity in inner and outer galaxy regions.
Quadratic and piecewise linear models fit the data better, indicating non-linear gradient behavior.
Outer galaxy shows a tenfold increase in metallicity spread, driven by local star formation patterns.
Abstract
Radial metallicity gradients are fundamental to understanding galaxy formation and evolution. In our high-resolution simulation of a NIHAO-UHD Milky Way analogue, we analyze the linearity, scatter, spatial coherence, and age-related variations of metallicity gradients using young stars and gas. While a global linear model generally captures the gradient, it ever so slightly overestimates metallicity in the inner galaxy and underestimates it in the outer regions of our simulated galaxy. Both a quadratic model, showing an initially steeper gradient that smoothly flattens outward, and a piecewise linear model with a break radius around 9.3-11.5~kpc (2.4-3.0 effective radii) fit the data equally better. The spread of [Fe/H] of young stars in the simulation increases by tenfold from the innermost to the outer galaxy at a radius of 20~kpc. We find that stars born at similar times along radial…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Astronomical Observations and Instrumentation
