Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
We compare the observational properties between 12CO, 13CO, and C18O and summarize the observational parameters based on a 7069-cloud sample from the Milky Way Imaging Scroll Painting CO survey in a section of the third Galactic quadrant. We find that the 13CO angular area ( A 13 CO ) generally increases with that of 12CO ( A 12 CO ), and the ratio of A 13 CO to A 12 CO is 0.38 by linear fitting. We find that the 12CO and 13CO flux are tightly correlated as F 13 CO = 0.17 F 12 CO with both fluxes calculated within the 13CO-bright region. This indicates that the abundance X 13 CO is a constant as 6.5 − 0.5 + 0.1 × 10 − 7 for all samples under the assumption of local thermodynamic equilibrium (LTE). Additionally, we observed that the X-factor is approximately constant in a large sample of molecular clouds. Similarly, we find F C 18 O = 0.11 F 13 CO with both fluxes calculated within the C18O-bright region, which indicates that the abundance ratio X 13 CO / X C 18 O stays at the same value of 9.7 − 0.8 + 0.6 across the molecular clouds under the LTE assumption. The linear relationships of F 12 CO versus F 13 CO and F 13 CO versus F C 18 O hold not only for the 13CO-bright region and C18O-bright region, but also for the entire molecular cloud scale with a lower flux ratio. The abundance ratio X 13 CO / X C 18 O inside the clouds shows a strong correlation with the column density and temperature. This indicates that the ratio X 13 CO / X C 18 O is dominated by a combination of chemical fractionation, selective dissociation, and the self-shielding effect inside the clouds.
We compare the observational properties between 12CO, 13CO, and C18O and summarize the observational parameters based on a 7069-cloud sample from the Milky Way Imaging Scroll Painting CO survey in a section of the third Galactic quadrant. We find that the 13CO angular area ( A 13 CO ) generally increases with that of 12CO ( A 12 CO ), and the ratio of A 13 CO to A 12 CO is 0.38 by linear fitting. We find that the 12CO and 13CO flux are tightly correlated as F 13 CO = 0.17 F 12 CO with both fluxes calculated within the 13CO-bright region. This indicates that the abundance X 13 CO is a constant as 6.5 − 0.5 + 0.1 × 10 − 7 for all samples under the assumption of local thermodynamic equilibrium (LTE). Additionally, we observed that the X-factor is approximately constant in a large sample of molecular clouds. Similarly, we find F C 18 O = 0.11 F 13 CO with both fluxes calculated within the C18O-bright region, which indicates that the abundance ratio X 13 CO / X C 18 O stays at the same value of 9.7 − 0.8 + 0.6 across the molecular clouds under the LTE assumption. The linear relationships of F 12 CO versus F 13 CO and F 13 CO versus F C 18 O hold not only for the 13CO-bright region and C18O-bright region, but also for the entire molecular cloud scale with a lower flux ratio. The abundance ratio X 13 CO / X C 18 O inside the clouds shows a strong correlation with the column density and temperature. This indicates that the ratio X 13 CO / X C 18 O is dominated by a combination of chemical fractionation, selective dissociation, and the self-shielding effect inside the clouds.
We perform a comprehensive CO study toward the Monoceros OB1 (Mon OB1) region based on the Milky Way Imaging Scroll Painting survey at an angular resolution of about 50″. The high-sensitivity data, together with the high dynamic range, show that molecular gas in the 8° × 4° region displays complicated hierarchical structures and various morphology (e.g., filamentary, cavity-like, shell-like, and other irregular structures). Based on Gaussian decomposition and clustering for 13CO data, a total of 263 13CO structures are identified in the whole region, and 88% of raw data flux is recovered. The dense gas with relatively high column density from the integrated CO emission is mainly concentrated in the region where multiple 13CO structures are overlapped. Combining the results of 32 large 13CO structures with distances from Gaia DR3, we estimate an average distance of 729 − 45 + 45 pc for the giant molecular cloud (GMC) complex. The total mass of the GMC complex traced by 12CO, 13CO, and C18O is 1.1 × 105 M ⊙, 4.3 × 104 M ⊙, and 8.4 × 103 M ⊙, respectively. The dense gas fraction shows a clear difference between Mon OB1 GMC East (12.4%) and Mon OB1 GMC West (3.3%). Our results show that the dense gas environment is closely linked to the nearby star-forming regions. On the other hand, star-forming activities have a great influence on the physical properties of the surrounding molecular gas (larger velocity dispersion, higher temperatures, more complex velocity structures, etc.). We also discuss the distribution/kinematics of molecular gas associated with nearby star-forming activities.
Molecular line emissions are commonly used to trace the distribution and properties of molecular Interstellar Medium (ISM). However, the emissions are heavily blended on the Galactic disk toward the inner Galaxy because of the relatively large line widths and the velocity overlaps of spiral arms. Structure identification methods based on voxel connectivity in PPV data cubes often produce unrealistically large structures, which is the ``over-linking'' problem. Therefore, identifying molecular cloud structures in these directions is not trivial. We propose a new method based on Gaussian decomposition and graph theory to solve the over-linking problem, named ISMGCC (InterStellar Medium Gaussian Component Clustering). Using the MWISP 13CO data in the range of 13.5° ≤ l ≤14.5°, |b| ≤ 0.5°, and -100 ≤ VLSR ≤ +200 km s-1, our method identified three hundred molecular gas structures with at least 16 pixels. These structures contain 92% of the total flux in the raw data cube and show single-peaked line profiles on more than 93% of their pixels. The ISMGCC method could distinguish gas structures in crowded regions and retain most of the flux without global data clipping or assumptions on the structure geometry, meanwhile, allowing multiple Gaussian components for complicated line profiles.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.