期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 484, 期 2, 页码 2089-2118出版社
OXFORD UNIV PRESS
DOI: 10.1093/mnras/sty3510
关键词
techniques: image processing; ISM: clouds; ISM: kinematics and dynamics; ISM: dust
资金
- National Science Foundation [PLR-0944335]
- Astronomy Australia Limited
- University of New South Wales
- Education Investment Fund
- ARC [DP120101585]
We present a morphological and physical analysis of a giant molecular cloud (GMC) using the carbon monoxide isotopologues ((CO)-C-12,(CO)-C-13,(COP2)-O-18-P-3 -> P-3(1)) survey of the Galactic Plane (Mopra CO Southern Galactic Plane Survey), supplemented with neutral carbon maps from the HEAT telescope in Antarctica. The GMC structure (hereinafter the ring) covers the sky region 332 degrees < l < 333 degrees and b = +/- 0.5 degrees (hereinafter the G332 region). The mass of the ring and its distance are determined to be similar to 2 x 10(5) M-circle dot and similar to 3.7 kpc from the Sun, respectively. The dark molecular gas fraction - estimated from the (CO)-C-13 and [CI] lines - is similar to 17 per cent for a CO T-ex between [10,20 K]. Comparing the [CI] integrated intensity and N(H-2) traced by (CO)-C-13 and (CO)-C-12, we define an X-CI(809) factor, analogous to the usual X-co, through the [CI] line. X-CI(809) ranges between [1.8,2.0] x 10(21) cm(-2) K-1 km(-1) s. We examined local variation in X-co and T-ex across the cloud, and find in regions where the star formation activity is not in an advanced state, an increase in the mean and dispersion of the X-co factor as the excitation temperature decreases. We present a catalogue of (CO)-O-18 clumps within the cloud, and report their physical characteristics. The star formation (SF) activity ongoing in the cloud shows a correlation with T-ex, [CI], and CO emissions, and anticorrelation with X-co suggesting a North-South spatial gradient in the SF activity. We propose a method to disentangle dust emission across the Galaxy, using H I and (CO)-C-13 data. We describe virtual reality and augmented reality data visualization techniques, which open new perspectives in the analysis of radio astronomy data.
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