ISMGCC:Finding Gas Structures in Molecular Interstellar Medium Using Gaussian Decomposition and Graph Theory  

作　　者：Haoran Feng Zhiwei Chen Zhibo Jiang James S.Urquhart 

机构地区：[1]Purple Mountain Observatory,Chinese Academy of Sciences,Nanjing 210023,China [2]University of Science and Technology of China,Chinese Academy of Sciences,Hefei 230026,China [3]Center for Astronomy and Space Sciences,China Three Gorges University,Yichang 443000,China [4]Centre for Astrophysics and Planetary Science,University of Kent,Canterbury CT27NH,UK

出　　处：《Research in Astronomy and Astrophysics》2024年第11期53-70,共18页天文和天体物理学研究（英文版）

基　　金：sponsored by the National Key R&D Program of China under grants 2023YFA1608000,2017YFA0402701;the CAS Key Research Program of Frontier Sciences under grant QYZDJ-SSW-SLH047;supported by the National Natural Science Foundation of China(NSFC,grant Nos.U2031202,12373030,and 11873093);the Natural Science Foundation of Jiangsu Province(grant No.BK20231509)。

摘　　要：Molecular line emissions are commonly used to trace the distribution and properties of molecular Interstella Medium.However,the emissions are heavily blended on the Galactic disk toward the inner Galaxy because of th relatively large line widths and the velocity overlaps of spiral arms.Structure identification methods based on voxe connectivity in Position-Position-Velocity(PPV)data cubes often produce unrealistically large structures,which i the“over-linking”problem.Therefore,identifying molecular cloud structures in these directions is not trivial.W propose a new method based on Gaussian decomposition and graph theory to solve the over-linking problem named InterStellar Medium Gaussian Component Clustering(ISMGCC).Using the Milky Way Imaging Scrol Painting(MWISP)^(13)CO(1-0)data in the range of 13°.5≤l≤14°.5,|b|≤0°.5,and-100≤V_(lsr)≤+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.Th ISMGCC method could distinguish gas structures in crowded regions and retain most of the flux without globa data clipping or assumptions on the structure geometry,meanwhile,allowing multiple Gaussian components fo complicated line profiles.

关 键 词：methods data analysis-molecular data-ISM structure-techniques SPECTROSCOPIC 

分 类 号：P152[天文地球—天文学]