Structural evolution of quiescent galaxies at intermediate redshifts at UV and red rest-frame wavelengths

preprint2025arXivOpen access

Abstract

We model the wavelength dependence of structural parameters for a mass-limited sample (M⋆>1010M⊙M_\star>10^{10}M_\odot) of ∼27,000\sim27,000 quiescent galaxies with 0.2<z<0.60.2 < z < 0.6 using grizygrizy photometry from Subaru/Hyper Suprime-Cam and dense spectroscopy from the HectoMAP survey. Based on Sérsic profile fits in all five bands, we estimate the circularized half-light radius Re,cR_{e,c} and Sérsic index nn in two rest-frames: UV (3500 Å) and red (7000 Å). Combined with M⋆M_\star, zz, and Dn4000_n4000, Re,cR_{e,c} and nn enable exploration of the evolution in the structural properties - stellar mass correlations for quiescent galaxies with different stellar population ages. At intermediate redshift, quiescent galaxies at all stellar masses show a systematic decline in Re,cR_{e,c} and rise in nn with rest-frame wavelength. These structural variations are stronger for galaxies that recently joined the quiescent population (newcomers) than for the descendants of galaxies that are already quiescent at the survey limit, z∼0.6z \sim 0.6 (aging population). The combined evidence supports inside-out quenching as the dominant mechanism halting star formation during this epoch. The typical size of a M⋆∼1011M⊙M_\star\sim10^{11}M_\odot quiescent galaxy increases by ∼30%\sim30\% between z∼0.6z \sim 0.6 and z∼0.2z \sim 0.2 in the red and remains constant in the UV; newcomers are ∼20%\sim20\% larger than the aging population. In the UV, quiescent galaxies maintain a constant n∼4n\sim4 for the aging population and n∼2n\sim2 for newcomers; in the red, both subpopulations have de Vaucouleurs profiles. Our findings link newcomers to their direct progenitors in the star-forming population. For the aging population, we suggest minor mergers with progressively redder satellites at lower redshifts as the primary driver of quiescent galaxy evolution. Forthcoming sensitive large-area imaging surveys will allow testing this prediction.

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