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
arXiv:2511.19614v2 Announce Type: replace
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 multi-wavelength photometric and structural properties. We find an encouraging performance ($lesssim$ 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 UVJ and IRX-$beta$ 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.arXiv:2511.19614v2 Announce Type: replace
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 multi-wavelength photometric and structural properties. We find an encouraging performance ($lesssim$ 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 UVJ and IRX-$beta$ 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.