JINGLE V: Dust properties of nearby galaxies derived from hierarchical
  Bayesian SED fitting
  We study the dust properties of 192 nearby galaxies from the JINGLE survey
using photometric data in the 22-850micron range. We derive the total dust
mass, temperature T and emissivity index beta of the galaxies through the
fitting of their spectral energy distribution (SED) using a single modified
black-body model (SMBB). We apply a hierarchical Bayesian approach that reduces
the known degeneracy between T and beta. Applying the hierarchical approach,
the strength of the T-beta anti-correlation is reduced from a Pearson
correlation coefficient R=-0.79 to R=-0.52. For the JINGLE galaxies we measure
dust temperatures in the range 17-30 K and dust emissivity indices beta in the
range 0.6-2.2. We compare the SMBB model with the broken emissivity modified
black-body (BMBB) and the two modified black-bodies (TMBB) models. The results
derived with the SMBB and TMBB are in good agreement, thus applying the SMBB,
which comes with fewer free parameters, does not penalize the measurement of
the cold dust properties in the JINGLE sample. We investigate the relation
between T and beta and other global galaxy properties in the JINGLE and
Herschel Reference Survey (HRS) sample. We find that beta correlates with the
stellar mass surface density (R=0.62) and anti-correlates with the HI mass
fraction (M(HI)/M*, R=-0.65), whereas the dust temperature correlates strongly
with the SFR normalized by the dust mass (R=0.73). These relations can be used
to estimate T and beta in galaxies with insufficient photometric data available
to measure them directly through SED fitting.
