The Relationship Between Star-formation Activity and Galaxy Structural Properties in CANDELS and a Semi-analytic Model
Ryan Brennan, Viraj Pandya, Rachel S. Somerville, Guillermo Barro, Asa, F. L. Bluck, Edward N. Taylor, Stijn Wuyts, Eric F. Bell, Avishai Dekel,, Sandra Faber, Henry C. Ferguson, Anton M. Koekemoer, Peter Kurczynski, Daniel, H. McIntosh, Jeffrey A. Newman, Joel Primack

TL;DR
This study investigates how galaxy structural properties correlate with their position relative to the star formation main sequence, using observational data and a semi-analytic model to understand galaxy evolution mechanisms.
Contribution
It provides a comprehensive analysis of structural property trends around the SFMS and tests a semi-analytic model that links bulge growth, black holes, and star formation quenching.
Findings
Strong correlation between structural properties and distance from SFMS
Model reproduces observed trends supporting co-evolution of black holes and bulges
AGN feedback is crucial for moving galaxies off the SFMS
Abstract
We study the correlation of galaxy structural properties with their location relative to the SFR-M* correlation, also known as the star formation "main sequence" (SFMS), in the CANDELS and GAMA surveys and in a semi-analytic model (SAM) of galaxy formation. We first study the distribution of median Sersic index, effective radius, star formation rate (SFR) density and stellar mass density in the SFR-M* plane. We then define a redshift dependent main sequence and examine the medians of these quantities as a function of distance from this main sequence, both above (higher SFRs) and below (lower SFRs). Finally, we examine the distributions of distance from the main sequence in bins of these quantities. We find strong correlations between all of these galaxy structural properties and the distance from the SFMS, such that as we move from galaxies above the SFMS to those below it, we see a…
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.
