iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs. -- III. Stellar metallicity drivers in MaNGA and TNG50
Lorenza Nanni, Justus Neumann, Daniel Thomas, Claudia Maraston, James, Trayford, Christopher C. Lovell, David R. Law, Renbin Yan, Yanping Chen

TL;DR
This study compares simulated and observed galaxy properties, focusing on stellar metallicity and age gradients, revealing both agreements and discrepancies that can guide future simulation improvements.
Contribution
It introduces the iMaNGA approach that emulates observational biases in simulations, enabling direct comparison with MaNGA data to identify key differences in galaxy stellar populations.
Findings
Simulations reproduce global scaling relations well.
Radial metallicity gradients are steeper in simulations.
Discrepancies include overestimated ages and steeper gradients in simulations.
Abstract
The iMaNGA project uses a forward-modelling approach to compare the predictions of cosmological simulations with observations from SDSS-IV/MaNGA. We investigate the dependency of age and metallicity radial gradients on galaxy morphology, stellar mass, stellar surface mass density (), and environment. The key of our analysis is that observational biases affecting the interpretation of MaNGA data are emulated in the theoretical iMaNGA sample. The simulations reproduce the observed global stellar population scaling relations with positive correlations between galaxy mass and age/metallicity quite well and also produce younger stellar populations in late-type in agreement with observations. We do find interesting discrepancies, though, that can inform the physics and further development of the simulations. Ages of spiral galaxies and low-mass ellipticals are overestimated by about…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research
