CANDELS Observations of the Environmental Dependence of the Color-Mass-Morphology Relation at z = 1.6
Robert Bassett, Casey Papovich, Jennifer M. Lotz, Eric F. Bell, Steven, L. Finkelstein, Jeffrey A. Newman, Kim-Vy Tran, Omar Almaini, Caterina Lani,, Michael Cooper, Darren Croton, Avishai Dekel, Henry C. Ferguson, Dale D., Kocevski, Anton M. Koekemoer, David C. Koo

TL;DR
This study investigates how galaxy properties like color, mass, and shape depend on environment at redshift 1.6, revealing environmental effects on quiescent galaxy sizes and morphologies in forming clusters versus the field.
Contribution
It provides new insights into the environmental influence on galaxy morphology and size at high redshift, especially the processing of star-forming galaxies in cluster outskirts.
Findings
Cluster galaxies are slightly redder and more massive than field galaxies.
Quiescent cluster galaxies have larger sizes and lower Sersic indices than field counterparts.
Environmental effects extend beyond the cluster virial radius, affecting galaxy evolution.
Abstract
We study the environmental dependence of color, stellar mass, and morphology by comparing galaxies in a forming cluster to those in the field at z = 1:6 with Hubble Space Telescope near-infrared imaging in the CANDELS/UDS field. We quantify the morphology of the galaxies using the effective radius, reff, and S\'ersic index, n. In both the cluster and field, approximately half of the bulge-dominated galaxies (n > 2) reside on the red sequence of the color-magnitude diagram, and most disk-dominated galaxies (n < 2) have colors expected for star-forming galaxies. There is weak evidence that cluster galaxies have redder rest-frame U - B colors and higher stellar masses compared to the field. Star-forming galaxies in both the cluster and field show no significant differences in their morphologies. In contrast, there is evidence that quiescent galaxies in the cluster have larger median…
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.
