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Cloud structures in M 17 SWex : Possible cloud-cloud collision

Kinoshita et al. (2021)

Kee-Tae Kim #10 Co-author Hyunwoo KANG #11 Co-author
PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF JAPAN IF 5.024 A 등급 International collaboration
JCMT(James Clerk Maxwell Telescope)

Abstract

Using wide-field 13 CO (J = 1-0) data taken with the Nobeyama 45 m telescope, we investigate cloud structures of the infrared dark cloud complex in M 17 with Spectral Clustering for Interstellar Molecular Emission Segmentation. In total, we identified 118 clouds that include 11 large clouds with radii larger than 1 pc. The clouds are mainly distributed in the two representative velocity ranges of 10-20 km s-1 and 30-40 km s-1 . By comparing this with the ATLASGAL catalog, we found that the majority of the 13 CO clouds with 10-20 km s-1 and 30-40 km s-1 are likely located at distances of 2 kpc (Sagit- tarius arm) and 3 kpc (Scutum arm), respectively. Analyzing the spatial configuration of the identified clouds and their velocity structures, we attempt to reveal the origin of the cloud structure in this region. Here we discuss three possibilities: (1) overlapping with different velocities, (2) cloud oscillation, and (3) cloud-cloud collision. In the position velocity diagrams, we found spatially extended faint emission between ∼20 km s-1 and ∼35 km s-1 , which is mainly distributed in the spatially overlapped areas of the clouds. Additionally, the cloud complex system is unlikely to be gravitationally bound. We also found that in some areas where clouds with different velocities overlapped, the mag- netic field orientation changes abruptly. The distribution of the diffuse emission in the position-position-velocity space and the bending magnetic fields appear to favor the cloud-cloud collision scenario compared to other scenarios. In the cloud-cloud collision scenario, we propose that two ∼35 km s-1 foreground clouds are colliding with clouds at ∼20 km s-1 with a relative velocity of 15 km s-1 . These clouds may be substructures of two larger clouds having velocities of ∼35 km s-1 ( 103 M ) and ∼20 km s-1 ( 104 M ), respectively.

AI Classification

Maturity Tier

Tier 1 — Classical ML

AI Role

classification / clustering

supporting

Techniques

classical-ML

Tasks

clustering/unsupervised

Subfield

ISM

spectra

Flags

Develops AI method
· Classification confidence: 100%