Assessing the performance of molecular gas clump identification algorithms

doi:10.1088/1674-4527/20/3/31

CORC > 国家授时中心 > 中国科学院国家授时中心 > 高精度时间传递与精密测定轨研究室

	Assessing the performance of molecular gas clump identification algorithms
	Li, Chong 3,4,5; Wang, Hong-Chi 4,5; Wu, Yuan-Wei 2; Ma, Yue-Hui 3,4,5; Lin, Liang-Hao 1,4,5
刊名	RESEARCH IN ASTRONOMY AND ASTROPHYSICS
	2020-03-01
卷号	20 期号:3 页码:14
关键词	methods data analysis methods numerical ISM structure
ISSN号	1674-4527
DOI	10.1088/1674-4527/20/3/31
英文摘要	The detection of clumps (cores) in molecular clouds is an important issue in sub-millimetre astronomy. However, the completeness of the identification and the accuracy of the returned parameters of the automated clump identification algorithms are still not clear. In this work, we test the performance and bias of the GaussClumps, ClumpFind, FellWalker, Reinhold, and Dendrograms algorithms in identifying simulated clumps. By designing the simulated clumps with various sizes, peak brightness, and crowdedness, we investigate the characteristics of the algorithms and their performance. In the aspect of detection completeness, FellWalker, Dendrograms, and GaussClumps are the first, second, and third best algorithms, respectively. The numbers of correct identifications of the six algorithms gradually increase as the size and signal-to-noise ratio (SNRs) of the simulated clumps increase and they decrease as the crowdedness increases. In the aspect of the accuracy of retrieved parameters, FellWalker and Dendrograms exhibit better performance than the other algorithms. The average deviations in clump parameters for all algorithms gradually increase as the size and SNR of clumps increase. Most of the algorithms except FellWalker exhibit significant deviation in extracting the total flux of clumps. Taken together, FellWalker, GaussClumps, and Dendrograms exhibit the best performance in detection completeness and extracting parameters. The deviation in virial parameter for the six algorithms is relatively low. When applying the six algorithms to the clump identification for the Rosette molecular cloud, ClumpFind1994, ClumpFind2006, GaussClumps, FellWalker, and Reinhold exhibit performance that is consistent with the results from the simulated test.
资助项目	National Key R&D Program of China[2017YFA0402701] ; National Natural Science Foundation of China[11503086] ; National Natural Science Foundation of China[11503087]
WOS关键词	MASS-SIZE RELATION ; STAR-FORMATION ; DUST CONTINUUM ; COMPLETE SAMPLE ; CLOUDS ; RESOLUTION ; ATLASGAL ; BIAS ; CO
WOS研究方向	Astronomy & Astrophysics
语种	英语
出版者	NATL ASTRONOMICAL OBSERVATORIES, CHIN ACAD SCIENCES
WOS记录号	WOS:000525675700001
资助机构	National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://210.72.145.45/handle/361003/9598]
专题	国家授时中心_高精度时间传递与精密测定轨研究室
通讯作者	Li, Chong
作者单位	1.Univ Sci & Technol China, Sch Astron & Space Sci, Hefei 230026, Peoples R China 2.Chinese Acad Sci, Natl Time Serv Ctr, Key Lab Precise Positioning & Timing Technol, Xian 710600, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Key Lab Radio Astron, Nanjing 210033, Peoples R China 5.Chinese Acad Sci, Purple Mt Observ, Nanjing 210033, Peoples R China
推荐引用方式 GB/T 7714	Li, Chong,Wang, Hong-Chi,Wu, Yuan-Wei,et al. Assessing the performance of molecular gas clump identification algorithms[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2020,20(3):14.
APA	Li, Chong,Wang, Hong-Chi,Wu, Yuan-Wei,Ma, Yue-Hui,&Lin, Liang-Hao.(2020).Assessing the performance of molecular gas clump identification algorithms.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,20(3),14.
MLA	Li, Chong,et al."Assessing the performance of molecular gas clump identification algorithms".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 20.3(2020):14.