首页|A Catalog of 13CO Clumps from the MWISP in l=10°-20°
A Catalog of 13CO Clumps from the MWISP in l=10°-20°
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In this study,we present a catalog of molecular clumps extracted from 13CO(J=1-0)emission data of the Milky Way Imaging Scroll Painting(MWISP)project.The data covers the inner Milky Way within the longitude range 10°≤l ≤ 20° and the latitude strip of|b|≤ 5°.25.The workflow for the extraction of clumps,namely Facet-SS-3D-Clump,consists of two parts:the identification of clump candidates and their verification.First,Facet-SS-3D-Clump employs FacetClumps to identify clump candidates.Subsequently,high-confidence clumps are obtained by cross-matching with the clumps detected by other algorithms,such as dendrogram.Second,these high-confidence clumps are used as prior knowledge to train a semi-supervised deep clustering approach,SS-3D-Clump,which is applied to verify clump candidates detected by FacetClumps,providing confidence levels for the molecular clumps.Finally,the catalog comprising 18,757 molecular clumps was obtained using Facet-SS-3D-Clump,and the catalog is 90%complete above 37 Kkms-1.We observe a significant deviation of the mean Galactic latitude for clumps within|b|≤ 2° from the midplane,with b=-0°.110.We found that 82.3%of the dust clumps correspond to 13CO clumps by matching with Herschel infrared dust clumps.In the future,Facet-SS-3D-Clump will be applied to detect 13CO clumps in the entire MWISP data.
Center for Astronomy and Space Sciences,China Three Gorges University,Yichang 443000,China
College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443000,China
College of Science,China Three Gorges University,Yichang 443000,China
Purple Mountain Observatory,Chinese Academy of Sciences,Nanjing 210023,China
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National Natural Science Foundation of China(NSFC)National Natural Science Foundation of China(NSFC)National Natural Science Foundation of China(NSFC)National Natural Science Foundation of China(NSFC)National Key R&D Program of ChinaCAS Key Research Program of Frontier Sciences with grant QYZDJ-SSW-SLH047