Insights on the stellar mass-metallicity relation from the CALIFA survey
R. M. Gonz\'alez Delgado, R. Cid Fernandes, R. Garc\'ia-Benito, E., P\'erez, A. L. de Amorim, C. Cortijo-Ferrero, E. A. D. Lacerda, R. L\'opez, Fern\'andez, S. F. S\'anchez, N. Vale Asari, J. Alves, J. Bland-Hawthorn, L., Galbany, A. Gallazzi, B. Husemann, S. Bekeraite

TL;DR
This study uses CALIFA survey data to analyze how stellar metallicity relates to both local surface density and total stellar mass across different galaxy types, revealing the interplay of local and global factors in galaxy evolution.
Contribution
It provides a detailed comparison of the stellar mass-metallicity relation and local surface density effects across spheroidal and disk galaxies, highlighting the varying influence of local and global processes.
Findings
The stellar mass-metallicity relation (MZR) spans 10^9 to 10^12 M_sun.
Local surface density strongly correlates with stellar metallicity (μZR).
In disks, local density dominates; in spheroids, total mass is more influential.
Abstract
We use spatially and temporally resolved maps of stellar population properties of 300 galaxies from the CALIFA integral field survey to investigate how the stellar metallicity (Z*) relates to the total stellar mass (M*) and the local mass surface density (*) in both spheroidal and disk dominated galaxies. The galaxies are shown to follow a clear stellar mass-metallicity relation (MZR) over the whole 10 to 10 M range. This relation is steeper than the one derived from nebular abundances, which is similar to the flatter stellar MZR derived when we consider only young stars. We also find a strong relation between the local values of * and Z* (the ZR), betraying the influence of local factors in determining Z*. This shows that both local (*-driven) and global (M*-driven) processes are important in determining the metallicity in galaxies. We find that…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
