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Erik Rosolowsky edited section_Conclusions_We_present_a__.tex
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We present a cloud-based analysis of the molecular gas in M83 as observed by ALMA. We compare the results of the cloud decomposition to the properties of the cluster population, searching for a connection between the structural organization of the molecular gas and the changing cluster properties. Based on this analysis, we reach the following conclusions:
\begin{enumerate}
\item
GMCs follow The molecular clouds in M83 are well-resolved in the ALMA data and show excellent correspondence with scaling relations seen in other systems. On average, they are consistent with significant self-gravitation and a turbulence driven size-line width relationship.
\item Despite the overall correspondence between the molecular cloud populations and the
Larson Law type scalings
seen in
other systems, there are systematic variations in cloud properties over the face of the galaxy. Of note, the
galaxy
\item Nuclear clouds
found in the nuclear region ($R_g<0.5$~kpc) have
significantly higher surface densities
($\langle \Sigma \rangle = 1100 M_{\odot}~\mbox{pc}^{-2}$ vs. $300 M_{\odot}~\mbox{pc}^{-2}$ in the disk) and
turbulent line
widths, but widths on 1 pc scales $\langle \sigma_0\rangle = \langle \sigma_v R^{-0.5}\rangle = 1.7 \mbox{ km s}^{-1}$ vs $0.7 \mbox{ km s}^{-1}$ in the disk. Despite higher densities and more intense turbulence, the clouds still
appear have graviational binding energies comparable to
be virialized. their internal kinetic energies as evidenced by virial-theorem-based estimates for their mass being consistent with estimates from their CO luminosity (i.e., the $X$-factor).
\item
We find The mass distributions of molecular clouds change over the face of the galaxy. There is good evidence for a characteristic
truncation mass in the
population, which sets an upper limit for molecular cloud mass. Functional fits to the mass
distributions parameterized as a exponential cutoff
\item We find distribution are consistent with this conclusion but do not appear to reproduce the
index full behavior of the mass
distribution shows good evidence for changing below distribution. The maximum mass in the
cutoff
\item There population is
good correspondence between highest in the
truncation center of the galaxy though blending of emission features likely biases this result. Outside of the nucleus, the maximum mass
cloud found in bins of equal area decreases by a factor of 5.
\item Characteristic masses have been previously observed in
clouds and the
truncation mass for cluster
\item population and fit with a Schechter function, namely a power-law mass distribution with an exponential cutoff above a characteristic mass. There is
not good
correspondence between evidence for this being the
truncation best representation of the molecular cloud mass distribution, but the maximum mass
GMC corresponds well to the maximum mass cluster in
clouds each radial bin. Over this range the cluster and
Toomre mass cloud masses decrease by a factor of 5.
\item
There Maximum cloud masses also agree reasonably well with the predictions from the Toomre criterion, which is
not the mass scale on which structures will form in a
good correlation shearing disk. They do not agree with
a strict Jeans
analysis, highlighting the importance of galactic dynamical environment in shaping the resulting molecular cloud population.
\item The maximum mass
suggesting that shear-regulated disk instabilities set cluster is $1-2\%$ of the mass
truncation in clouds and then those of the maximum mass molecular cloud, which is consistent with a simple correspondence model where clouds
go on to form
stellar clusters stars with a
roughly constant dimensionless efficiency of $10\%$ and the observed cluster formation efficiency
(i.e., the fraction of
$\epsilon \approx 0.01$ (XXX Calculate this formed stars that remain in bound clusters) being the observed $\Gamma=10\%$. There is an observed variation on the cluster formation efficiency changing radially over the face of the galaxy, but the internal properties of molecular clouds that might shape star formation efficiency (i.e., internal pressure, density, turbulence) are remarkably constant for
reals) $R_g>2\mbox{ kpc}$.
\end{enumerate}