Hierarchical Structure and Self-gravity in the Rosette Molecular Cloud
Suziye He, Yuehui Ma, Hongchi Wang, Renjie Shen, Miaomiao Zhang, Chong Li, Zhenyi Yue, Xiangyu Ou, and Xuepeng Chen

TL;DR
This study investigates the hierarchical structure and self-gravity in the Rosette Molecular Cloud using $^{13}$CO data and a non-binary dendrogram method, revealing gravitationally bound substructures supporting the global hierarchical collapse model.
Contribution
It introduces a non-binary dendrogram approach to analyze molecular cloud structures and provides detailed statistical properties and evidence for multiscale gravitational collapse.
Findings
Identified 588 substructures with detailed physical parameters.
Found self-gravitating structures across scales from 0.2 to 10 pc.
Most structures with peak brightness above 4 K are gravitationally bound.
Abstract
We analyze the hierarchical structure in the Rosette Molecular Cloud (RMC) using CO J=1-0 data from the Milky Way Imaging Scroll Painting (MWISP) survey with a non-binary Dendrogram algorithm that allows multiple branches to emerge from parent structures. A total of 588 substructures are identified, including 458 leaves and 130 branches. The physical parameters of the substructures, including peak brightness temperature (), brightness temperature difference (), radius (), mass (), velocity dispersion (), and surface density (), are characterized. The and distributions follow exponential functions with characteristic values above . The statistical properties and scaling relations, i.e., -, -, and - relations are in general consistent with those…
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Taxonomy
TopicsAstrophysics and Star Formation Studies · Galaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research
