  We explore how the star formation rate (SFR), stellar mass, and other
properties of massive dusty galaxies at cosmic noon are impacted when
far-infrared (FIR)/sub-millimeter data are added to datasets containing only
ultraviolet (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), we
fit the spectral energy distributions (SEDs) based on DECam UV-to-optical data,
VICS82, NEWFIRM, and Spitzer-IRAC NIR data, and Herschel-SPIRE
FIR/sub-millimeter data using the Bayesian Analysis of Galaxies for Physical
Inference and Parameter Estimation (BAGPIPES) SED-fitting code. We assume a
delayed tau star formation history with a log$_{10}$ prior on tau and derive
the posterior distributions of stellar mass, SFR, extinction, and specific SFR.
We find that adding FIR/sub-millimeter data leads to SFR estimates that can be
both significantly higher or lower (typically by up to a factor of 10) than
estimates based on UV-to-NIR data alone, depending on the type of galaxies
involved. We find that the changes in SFR scale with changes in extinction.
These results highlight the importance of including FIR/sub-millimeter data in
order to accurately derive the SFRs of massive dusty galaxies at
$z\,{\sim}\,2$.
