Evidence for Reduced Specific Star Formation Rates in the Centers of Massive Galaxies at z = 4
Intae Jung (UT Austin), Steven L. Finkelstein (UT Austin), Mimi Song, (NASA, Goddard), Mark Dickinson (NOAO), Avishai Dekel (Hebrew Univ.), Henry, C. Ferguson (STSci), Adriano Fontana (INAF), Anton M. Koekemoer (STSci), Yu, Lu (Carnegie Observatories)

TL;DR
This study uses spatially-resolved analysis of early universe galaxies to reveal that massive galaxies at z=4 often have suppressed star formation in their centers, unlike at higher redshifts where star formation is uniform.
Contribution
First spatially-resolved stellar population analysis of galaxies at z=3.5-6.5 showing central suppression of star formation in massive galaxies at z=4.
Findings
Most galaxies at z=3.5-4 show lower sSFR in their centers.
Galaxies at z~5-6 exhibit uniform sSFR across radii.
Central star formation suppression is evident at z=4.
Abstract
We perform the first spatially-resolved stellar population study of galaxies in the early universe (z = 3.5 - 6.5), utilizing the Hubble Space Telescope Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS) imaging dataset over the GOODS-S field. We select a sample of 418 bright and extended galaxies at z = 3.5 - 6.5 from a parent sample of ~ 8000 photometric-redshift selected galaxies from Finkelstein et al. (2015). We first examine galaxies at 3.5< z < 4.0 using additional deep K-band survey data from the HAWK-I UDS and GOODS Survey (HUGS) which covers the 4000A break at these redshifts. We measure the stellar mass, star formation rate, and dust extinction for galaxy inner and outer regions via spatially-resolved spectral energy distribution fitting based on a Markov Chain Monte Carlo algorithm. By comparing specific star formation rates (sSFRs) between inner and…
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.
