  In this paper, we investigate the benefits of teaming up data from the radio
to the far- 1 infrared (FIR) regime for the characterization of Dusty
Star-Forming Galaxies (DSFGs). These galaxies 2 are thought to be the
star-forming progenitors of local massive quiescent galaxies, and play a
pivotal 3 role in the reconstruction of the cosmic star formation rate density
up to high redshift. Due to their 4 dust-enshrouded nature, DSFGs are often
invisible in the near-infrared/Optical/UV bands. Therefore, 5 they necessitate
observations at longer wavelengths, primarily the FIR, where dust emission
occurs, 6 and radio, which is not affected by dust absorption. Combining data
from these two spectral windows 7 makes it possible to characterize even the
dustiest objects, enabling the retrieval of information about 8 their age, dust
temperature, and star-formation status, and facilitates the differentiation
between 9 various galaxy populations that evolve throughout cosmic history.
Despite the detection of faint radio 10 sources being a challenging task, this
study demonstrates that an effective strategy to build statistically 11
relevant samples of DSFGs would be reaching deep sensitivities in the radio
band, even restricted to 12 smaller areas, and then combining these radio
observations with FIR/submm data. Additionally, 13 the paper quantifies the
improvement in the Spectral Energy Distribution (SED) reconstruction of 14
DSFGs by incorporating ALMA band measurements, in particular, in its upgraded
status thanks to 15 the anticipated Wideband Sensitivity Upgrade.
