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SE3D: Testing the recovery of stellar population, dust, and structural properties on mock-observed toy model and simulated galaxies

Junkai Zhang, Steven Ramnichal, Stijn Wuyts, Cheng Li

Research output: Contribution to journalArticlepeer-review

Abstract

The translation from direct observables to physical properties of galaxies is a key step in reconstructing their evolutionary histories. Star-dust geometry and inhomogeneous stellar populations can induce spatial variations in the mass-to-light ratio, complicating this process. In this paper, we present tests of SE3D, a novel modelling framework built around a radiative transfer emulator, aimed at tackling this problem. We test the ability to recover known intrinsic properties of toy model and TNG50 simulated galaxies by jointly fitting mock observations of their multiwavelength photometric and structural properties. We find an encouraging performance (⁠≤0.1 dex) for several key characteristics, including the bulk stellar mass, dust mass and SFR, as well as their respective radial extents. We point out limitations, and investigate the impact of various sources of model mismatch. Among them, mismatch in the shapes of star formation histories contributes most, with radial and azimuthal structure and stellar metallicity distributions playing a progressively more minor role. We also analyse the evolution from z=2 to z=0 of resolved stellar and dust properties of TNG galaxies, as measured intrinsically and expressed in their distribution across UJV and IRX-β diagnostic diagrams. We test different methods to assign dust to the simulation, and find a persistent lack of Mdust/Mstar evolution and a more limited dynamic range across the diagnostic diagrams compared to observations.
Original languageEnglish
Article numberstag884
Number of pages22
JournalMonthly Notices of the Royal Astronomical Society
Volume549
Issue number3
Early online date13 May 2026
DOIs
Publication statusE-pub ahead of print - 13 May 2026

Data Availability Statement

The TNG50 simulation data used in this work can be accessed at https://www.tng-project.org/ and is further documented in D. Nelson et al. (2019). The observational samples shown for reference are extracted from the DAWN JWST Archive (https://dawn-cph.github.io/dja/blog/2024/08/16/morphological-data/), with ancillary information taken from legacy Spitzer and Herschel surveys in the same fields (see Section 4.1.2).

Acknowledgements

We thank the authors of SKIRT, Maarten Baes, and Peter Camps for making their RT code publicly available. We also thank James Trayford, Andrea Gebek, Nick Andreadis, Shiyin Shen, and XianZhong Zheng for valuable discussions on this work.The authors acknowledge the Tsinghua Astrophysics High-Performance Computing platform at Tsinghua University for providing computational and data storage resources that have contributed to the research results reported within this paper.

Funding

The authors gratefully acknowledge support from the Royal Society International Exchanges scheme (IES\R2\242195). SW acknowledges support from China’s National Foreign Expert programme (H20240871).

Keywords

  • (ISM)
  • dust
  • extinction – galaxies
  • ISM – galaxies
  • photometry – galaxies
  • stellar content – galaxies
  • structure

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