The optical and infrared are connected
Christian K. Jespersen, Peter Melchior, David N. Spergel, Andy D. Goulding, ChangHoon Hahn, Kartheik G. Iyer
TL;DR
This study demonstrates a strong optical–IR coupling in galaxies by predicting infrared WISE photometry from optical SDSS spectra using a data-driven latent-space approach, achieving $χ^2_N\approx1$ across all IR bands and revealing information about AGN, PAHs, and metallic lines that standard SED codes miss. The authors compare a simple empirical mapping based on spender-encoded spectra to CIGALE and prospector, finding the data-driven method far more accurate for joint optical–IR predictions and less prone to overconfident biases. They show that priors alone do not drive the results, while aperture effects and line feature attributions reveal where SED models fail to capture cross-wavelength physics. The work argues that galaxy properties lie on a low-dimensional manifold linking optical and IR emission, suggesting concrete avenues to improve SED models by incorporating spectral line information and latent-space priors, with practical implications for robust AGN and PAH inferences.
Abstract
Galaxies are often modelled as composites of separable components with distinct spectral signatures, implying that different wavelength ranges are only weakly correlated. They are not. We present a data-driven model which exploits subtle correlations between physical processes to accurately predict infrared (IR) WISE photometry from a neural summary of optical SDSS spectra. The model achieves accuracies of $χ^2_N \approx 1$ for all photometric bands in WISE, as well as good colors. We are also able to tightly constrain typically IR-derived properties, e.g. the bolometric luminosities of AGN and dust parameters such as $\mathrm{q_{PAH}}$. We find that current SED-fitting methods are incapable of making comparable predictions, and that model misspecification often leads to correlated biases in star-formation rates and AGN luminosities. To help improve SED models, we determine what features of the optical spectrum are responsible for our improved predictions, and identify several lines (CaII, SrII, FeI, [OII] and H$α$), which point to the complex chronology of star formation and chemical enrichment being incorrectly modelled.
