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We explore how the star formation rate (SFR), stellar mass, and otherproperties of massive dusty galaxies at cosmic noon are impacted whenfar-infrared (FIR)/sub-millimeter data are added to datasets containing onlyultraviolet (UV) to near-infrared (NIR) data. For a sample of 92 massive(stellar mass $> 4{\times}10^{10}$ M$_{\odot}$) dusty galaxies at$z\,{\sim}\,1.5$ to 3.0 (corresponding to ${\sim}25$% of cosmic history), wefit the spectral energy distributions (SEDs) based on DECam UV-to-optical data,VICS82, NEWFIRM, and Spitzer-IRAC NIR data, and Herschel-SPIREFIR/sub-millimeter data using the Bayesian Analysis of Galaxies for PhysicalInference and Parameter Estimation (BAGPIPES) SED-fitting code. We assume adelayed tau star formation history with a log$_{10}$ prior on tau and derivethe posterior distributions of stellar mass, SFR, extinction, and specific SFR.We find that adding FIR/sub-millimeter data leads to SFR estimates that can beboth significantly higher or lower (typically by up to a factor of 10) thanestimates based on UV-to-NIR data alone, depending on the type of galaxiesinvolved. We find that the changes in SFR scale with changes in extinction.These results highlight the importance of including FIR/sub-millimeter data inorder to accurately derive the SFRs of massive dusty galaxies at$z\,{\sim}\,2$.

The Impact of Far-Infrared/Sub-Millimeter Data on the Star Formation Rates of Massive Dusty Galaxies at Cosmic Noon