A Multiwavelength Investigation of Dust and Stellar Mass Distributions in Galaxies: Insights from High-resolution JWST Imaging
Abstract
We study the morphological properties of mid-infrared selected galaxies at 1.0 < z < 1.7 in the SMACS J0723.3-7327 cluster field to investigate the mechanisms of galaxy mass assembly and structural formation at cosmic noon. We develop a new algorithm to decompose the dust and stellar components of individual galaxies by using high-resolution images in the MIRI F770W and NIRCam F200W bands. Our analysis reveals that a significant number of galaxies with stellar masses between 109.5 < M*/M⊙ < 1010.5 exhibit dust cores that are relatively more compact than their stellar cores. Specifically, within this mass range, the nonparametric method indicates that the dust cores are 1.23 (±0.05) times more compact than the stellar cores on average when evaluated with flux concentration of the two components within a fixed radius. Similarly, the parametric method yields an average compactness ratio of 1.27 (±0.06). Notably, the most massive galaxy (M* ∼ 1010.9M⊙) in our sample demonstrates a comparable level of compactness between its stellar core and dust, with a dust-to-stellar ratio of 0.86 (0.89) as derived from nonparametric (parametric) method. The observed compactness of the dust component is potentially attributed to the presence of a (rapidly growing) massive bulge that in some cases is associated with elevated star formation. Expanding the sample size through a joint analysis of multiple Cycle 1 deep-imaging programs can help to confirm the inferred picture. Our pilot study highlights that MIRI offers an efficient approach to studying the structural formation of galaxies from cosmic noon to the modern Universe.
Copyright and License
© 2023. 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 express our gratitude to the anonymous referee and editor for their insightful comments that enhanced the manuscript. We acknowledge the ERO production team, who developed, executed, and compiled the ERO observations. The data used in this work were made available through MAST at the Space Telescope Science Institute. Z.L. would like to thank Drs. Jose Manuel Pérez-Martínez, Rieko Momose, and Lilan Yang for the valuable discussion that improved our analysis. Z.L. acknowledges support from JST SPRING, grant No. JPMJSP2114, and the Kakenhi International Leading Research (#22K21349). Support for this study was provided by NASA through grant HST-GO-15804 from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-26555.
Software References
Astropy (Astropy Collaboration et al. 2013; Astropy Collaboratio et al. 2018), SExtractor (Bertin & Arnouts 1996), CIGALE (Boquien et al. 2019).
Files
Liu_2023_ApJ_955_29.pdf
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Additional details
Related works
- Is new version of
- Discussion Paper: arXiv:2305.10944 (arXiv)
Funding
- Japan Science and Technology Agency
- JPMJSP2114
- Japan Society for the Promotion of Science
- 22K21349
- Space Telescope Science Institute
- HST-GO-15804
- National Aeronautics and Space Administration
- NAS 5-26555
Dates
- Accepted
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2023-08-09
- Available
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2023-09-14Published