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Erik Rosolowsky edited section_Description_of_the_data__.tex
about 8 years ago
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\section{Description of the data}
This project uses observations by made by ALMA under project 2012.1.00762.S
proposed by Hirota et al.
We used the Quality Assurance, step 2 data (QA2) downloaded from the Japanese Virtual Observatory site, which images the CO(1-0) line at $1.34\times 0.83$ arcsec resolution, corresponding to $29\times 18$ pc at the 4.5 Mpc distance of M83 \citep{Thim_2003}. The imaged data cube has a velocity resolution of 2.57 km~s$^{-1}$. With a median brightness sensitivity of $\sigma=0.89$~K per beam, the data set are ideally suited for the identification and decomposition of GMCs \citep{Rosolowsky_2006}. Through this analysis, we adopt a CO-to-H$_2$ conversion factor of X$_{\mathrm{CO}} = 2\times 10^{20}$~(K~km~s$^{-1}$)$^{-1}$~cm$^{-2}$ \cite{Bolatto_2013}. With this conversion factor, the data cube has a $1\sigma$ mass surface density sensitivity of 9.9 $M_{\odot}~\mathrm{pc}^{-2}$ and a per-beam mass sensitivity of $6\times 10^3~M_{\odot}$.
of 2.6 mm $^{12}$CO(1-0) emission from M83. $^{12}$CO is used Since the Quality Assurance data delivered as
a tracer part of
H$_2$ and the
size, velocity line width, and luminosity of project do not include total power or short spacing data, the
GMCs can be found resulting image is affected by some negative artifacts from
when the
data \cite{Solomon_1987}. A CO-to-H$_2$ conversion factor of X$_{\mathrm{CO}} = 2\times 10^{20}$~(K~km~s$^{-1}$)$^{-1}$~cm$^{-2}$ was used cleaning process applied to
derive the
mass interferometer maps. These artifacts are most noticable toward the bright emission in the nucleus of
H$_2$ gas. Assuming the
clouds galaxy. The data are
in virial equilibrium, a virial mass was found also likely missing flux from
the radius and velocity line width \cite{Solomon_1987}. large scale, diffuse CO emission \citep[e.g.,][]{Pety_2013}.