We present a comprehensive search and analysis of high-redshift galaxies in a suite of nine public JWST extragalactic fields taken in Cycle 1, covering a total effective search area of ∼358 arcmin². Through conservative (8σ) photometric selection, we identify 341 galaxies at 5 < z < 14, with 109 having spectroscopic redshift measurements from the literature, including recent JWST NIRSpec observations. Our regression analysis reveals that the rest-frame UV size–stellar mass relation follows Reff ∝ M∗^(0.19±0.03), similar to that of star-forming galaxies at z ∼ 3, but scaled down in size by ∼0.7 dex. We find a much slower rate for the average size evolution over the redshift range, Reff ∝ (1 + z)−0.4±0.2, than that derived in the literature. A fraction (∼13%) of our sample galaxies are marginally resolved even in the NIRCam imaging (≲ 100 pc), located at ≳1.5σ below the derived size–mass slope. These compact sources exhibit a high star formation surface density ΣSFR > 10 M⊙ yr−1 kpc−2, a range in which only <0.01% of the local star-forming galaxy sample is found. For those with available NIRSpec data, no evidence of ongoing supermassive black hole accretion is observed. A potential explanation for the observed high [O iii]-to-Hβ ratios could be high shock velocities, likely originating within intense star-forming regions characterized by high ΣSFR. Lastly, we find that the rest-frame UV and optical sizes of our sample are comparable. Our results are consistent with these early galaxies building up their structures inside out and being yet to exhibit the strong color gradient seen at lower redshift.
Enhanced Subkiloparsec-scale Star Formation: Results from a JWST Size Analysis of 341 Galaxies at 5 < z < 14
Abstract
Copyright and License
© 2024. The Author(s) Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Acknowledgement
We would like to thank the teams of the JWST observation programs # 1063, 1180, 1210, 1345, 1837, 2079, and 2738, which a large part of this study is based on, for their countless efforts in carefully designing and planning their programs and their generous consideration in making their valuable data publicly available immediately after the observations or before the expiration of the original proprietary periods. Some/all of the data presented in this paper were obtained from the Mikulski Archive for Space Telescopes (MAST) at the Space Telescope Science Institute. The specific observations analyzed can be accessed via doi:10.17909/q8cd-2q22 . We thank Zhaoran Liu for kindly providing a spectroscopic catalog compiled from literature studies in the CEERS field. We acknowledge support for this work under NASA grant 80NSSC22K1294. The data presented in this paper were obtained from the Mikulski Archive for Space Telescopes (MAST) at the Space Telescope Science Institute.
Software References
Astropy (Astropy Collaboration et al. 2013, 2018,2022), bbpn (Morishita 2023), EAzY (Brammer et al. 2008), EMCEE (Foreman-Mackey et al. 2013), gsf (Morishita et al. 2019), numpy (Harris et al. 2020), python-fsps (Foreman-Mackey et al. 2014)
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Additional details
- ISSN
- 1538-4357
- National Aeronautics and Space Administration
- 80NSSC22K1294
- Caltech groups
- Infrared Processing and Analysis Center (IPAC)