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Published November 2024 | Published
Journal Article Open

The structure of massive star-forming galaxies from JWST and ALMA: Dusty, high-redshift disc galaxies

  • 1. ROR icon University of Copenhagen
  • 2. ROR icon Technical University of Denmark
  • 3. ROR icon Durham University
  • 4. ROR icon University of Sussex
  • 5. ROR icon Max Planck Institute for Astronomy
  • 6. ROR icon University College London
  • 7. ROR icon University of Nottingham
  • 8. ROR icon Dalhousie University
  • 9. ROR icon Institute of Astronomy and Astrophysics, Academia Sinica
  • 10. ROR icon National Astronomical Observatory of Japan
  • 11. ROR icon Fukuoka Institute of Technology
  • 12. ROR icon Nihon University
  • 13. ROR icon The Graduate University for Advanced Studies, SOKENDAI
  • 14. ROR icon California Institute of Technology
  • 15. ROR icon National Radio Astronomy Observatory
  • 16. ROR icon Leiden University

Abstract

We present an analysis of the JWST NIRCam and MIRI morphological and structural properties of 80 massive (log10(M*[M]) = 11.2 ± 0.1) dusty star-forming galaxies at z = 2.7−0.7+1.2, identified as sub-millimetre galaxies (SMGs) by ALMA, which have been observed as part of the JWST PRIMER project. To compare the structure of these massive, active galaxies to more typical, less actively star-forming galaxies, we defined two comparison samples. The first of 850 field galaxies matched in specific star formation rate and redshift and the second of 80 field galaxies matched in stellar mass. From the visual classification of the SMGs, we have identified 20 ± 5% as candidate late-stage major mergers, a further 40 ± 10% as potential minor mergers, and 40 ± 10% that have comparatively undisturbed disc-like morphologies, with no obvious massive neighbours on ≲20–30 kpc (projected) scales. These rates are comparable to those for the field samples and indicate that the majority of the sub-millimetre-detected galaxies are not late-stage major mergers, but have interaction rates similar to the general field population at z ∼ 2–3. Through a multi-wavelength morphological analysis, using parametric and non-parametric techniques, we establish that SMGs have comparable near-infrared, mass-normalised sizes to the less active population, R50F444W = 2.7 ± 0.2 kpc versus RF444W50 = 3.1 ± 0.1 kpc, but exhibit lower Sérsic indices, consistent with bulge-less discs: nF444W = 1.1 ± 0.1, compared to nF444W = 1.9 ± 0.1 for the less active field galaxies and nF444W = 2.8 ± 0.2 for the most massive field galaxies. The SMGs exhibit greater single-Sérsic fit residuals and their morphologies are more structured at 2 μm relative to 4 μm when compared to the field galaxies. This appears to be caused by significant structured dust content in the SMGs and we find evidence for dust reddening as the origin of the morphological differences by identifying a strong correlation between the F200W−F444W pixel colour and the 870 μm surface brightness using high-resolution ALMA observations. We conclude that SMGs and both massive and less massive star-forming galaxies at the same epochs share a common disc-like structure, but the weaker bulge components (and potentially lower black hole masses) of the SMGs result in their gas discs being less stable. Consequently, the combination of high gas masses and instabilities triggered either secularly or by minor external perturbations results in higher levels of activity (and dust content) in SMGs compared to typical star-forming galaxies.

Copyright and License

© The Authors 2024.

Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Acknowledgement

We would like to thank the PRIMER team for designing and executing the observations upon which this work is based. The observations analysed in this work are made with the NASA/ESA/CSA James Webb Space Telescope (DOI: 10.17909/z7p0-8481). Certain aspects of the analysis in this paper were undertaken on SCUBA-2 data taken as part of Program ID MJLSC02. SG acknowledges financial support from the Villum Young Investigator grants 37440 and 13160 and the Cosmic Dawn Center (DAWN), funded by the Danish National Research Foundation (DNRF) under grant No. 140. IRS and AMS acknowledge STFC grant ST/X001075/1. BG acknowledges support from the Carlsberg Foundation Research Grant CF20-0644 ‘Physical pRoperties of the InterStellar Medium in Luminous Infrared Galaxies at High redshifT: PRISM- LIGHT’. TRG is grateful for support from the Carlsberg Foundation via grant No. CF20-0534. YM acknowledges support of JSPS KAKENHI Grant Numbers JP17KK0098, JP22H01273 and JP23K22544. C.-C.C. acknowledges support from the National Science and Technology Council of Taiwan (NSTC 111-2112M-001-045MY3), as well as Academia Sinica through the Career Development Award (AS-CDA-112-M02). This work made use of the following open-source software: Astropy (Astropy Collaboration 20132018), Photutils (Bradley et al. 2022), Source Extractor (Bertin & Arnouts 1996), SEP (Barbary et al. 2016), Eazy-py (Brammer & Matharu 2021), GriZli (Brammer et al. 2022), GalfitM (Häußler et al. 2013), Statmorph (Rodriguez-Gomez et al. 2019), Topcat (Taylor 2005). Cloud-based data processing and file storage for this work is provided by the AWS Cloud Credits for Research program. The data products presented herein were retrieved from the Dawn JWST Archive (DJA). DJA is an initiative of the Cosmic Dawn Center, which is funded by the Danish National Research Foundation under grant No. 140.

Data Availability

Table A.2 is available at the CDS via anonymous ftp to cdsarc.cds.unistra.fr (130.79.128.5) or via https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/699/A299

A full version of Appendix B is available at https://zenodo.org/records/13805467.

Software References

This work made use of the following open-source software: Astropy (Astropy Collaboration 20132018), Photutils (Bradley et al. 2022), Source Extractor (Bertin & Arnouts 1996), SEP (Barbary et al. 2016), Eazy-py (Brammer & Matharu 2021), GriZli (Brammer et al. 2022), GalfitM (Häußler et al. 2013), Statmorph (Rodriguez-Gomez et al. 2019), Topcat (Taylor 2005).

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Additional details

Created:
December 4, 2024
Modified:
December 4, 2024