Structural Properties of Central Galaxies in Groups and Clusters
Yicheng Guo (1), Daniel H. McIntosh (1, 6), H. J. Mo (1), Neal Katz, (1), Frank C. van den Bosch (2), Martin Weinberg (1), Simone M. Weinmann (3),, Anna Pasqual (2), and Xiaohu Yang (4, 5) ((1) University of Massachusetts,, Amherst, (2) MPIA, (3) MPA, (4) SHAO

TL;DR
This study analyzes the structural properties of central galaxies in groups and clusters, revealing that stellar mass primarily influences galaxy structure, with minimal dependence on host halo mass, and finds similarities between central and satellite galaxies.
Contribution
It introduces a GALFIT-based pipeline for 2D Sersic modeling of SDSS galaxies and systematically examines how galaxy structure depends on stellar and halo mass.
Findings
Sersic index depends strongly on stellar mass, weakly on halo mass.
Disk and spheroid galaxies show distinct size-mass relations.
Structural similarities between central and satellite galaxies suggest mass, not environment, drives morphology.
Abstract
Using a representative sample of 911 central galaxies (CENs) from the SDSS DR4 group catalogue, we study how the structure of the most massive members in groups and clusters depend on (1) galaxy stellar mass (Mstar), (2) dark matter halo mass of the host group (Mhalo), and (3) their halo-centric position. We establish and thoroughly test a GALFIT-based pipeline to fit 2D Sersic models to SDSS data. We find that the fitting results are most sensitive to the background sky level determination and strongly recommend using the SDSS global value. We find that uncertainties in the background translate into a strong covariance between the total magnitude, half-light size (r50), and Sersic index (n), especially for bright/massive galaxies. We find that n depends strongly on Mstar for CENs, but only weakly or not at all on Mhalo. Less (more) massive CENs tend to be disk (spheroid)-like over the…
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.
