Color gradients and half-mass radii of galaxies out to $z=2$ in the CANDELS/3D-HST fields: further evidence for important differences in the evolution of mass-weighted and light-weighted sizes
Tim B. Miller, Pieter van Dokkum, Lamiya Mowla

TL;DR
This study investigates the evolution of galaxy sizes by comparing half-mass and half-light radii up to redshift 2, revealing significant differences in their evolution and implications for galaxy size measurements.
Contribution
It introduces a Bayesian MGE-based method to accurately measure galaxy mass and light profiles, highlighting the importance of considering mass-weighted sizes in galaxy evolution studies.
Findings
Median r_mass/r_light ratio decreases from 0.75 at z=2 to 0.5 at z=1
r_mass-M* relation is shallower and less evolving than r_light-M*
Both star-forming and quiescent galaxies show evolving color gradients
Abstract
Recent studies have indicated that the ratio between half-mass and half-light radii, , varies significantly as a function of stellar mass and redshift, complicating the interpretation of the ubiquitous relation. To investigate, in this study we construct the light and color profiles of galaxies at with using , a Bayesian implementation of the Multi-Gaussian expansion (MGE) technique. flexibly represents galaxy profiles using a series of Gaussians, free of any a-priori parameterization. We find that both star-forming and quiescent galaxies have on average negative color gradients. For star forming galaxies, we find steeper gradients that evolve with redshift and correlate with dust content. Using the color gradients as a proxy for gradients in 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.
Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Remote Sensing in Agriculture · Advanced Statistical Methods and Models
