2024ApJ...962...59O

Robust estimation of star formation rates (SFRs) at higher redshifts (z ≳ 1) using UV-optical-near-infrared (NIR) photometry is contingent on the ability of spectral energy distribution (SED) fitting to constrain the dust attenuation, stellar metallicity, and star formation history (SFH) simultaneously. IR-derived dust luminosities can help break the degeneracy between these parameters, but IR data are often not available. Here, we explore strategies for SED fitting at z ≳ 1 in the absence of IR data using a sample of log M_* > 10.2 star-forming galaxies from the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS) for which 24 μm data are available. We adopt the total IR luminosity (L_TIR) obtained from 24 μm as the “ground truth,” which allows us to assess how well it can be recovered (as L_dust) from UV-optical-NIR SED fitting. We test a variety of dust attenuation models, stellar population synthesis models, metallicity assumptions, and SFHs separately to identify which assumptions maximize the agreement (correlation and linearity) between L_TIR and L_dust. We find that a flexible dust attenuation law performs best. For stellar populations, we find that Bruzual & Charlot models are favored over those of Eldridge et al. Fixing the stellar metallicity at solar value is preferred to other fixed values or leaving it as a free parameter. For SFHs, we find that minimizing the variability in the recent (<100 Myr) SFH improves the agreement with L_TIR. Finally, we provide a catalog of galaxy parameters (including M_* and SFR) for CANDELS galaxies with $\mathrm{log}{M}_{* }\gt 8$ and 0.7 < z < 1.3, obtained using the models we found to be the most robust.