Assessing the performance of molecular gas clump identification algorithms

作     者：Chong Li Hong-Chi Wang Yuan-Wei Wu Yue-Hui Ma Liang-Hao Lin Chong Li;Hong-Chi Wang;Yuan-Wei Wu;Yue-Hui Ma;Liang-Hao Lin

作者机构：Purple Mountain Observatory and Key Laboratory of Radio AstronomyChinese Academy of SciencesNanjing 210033China University of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Precise Positioning and Timing TechnologyNational Time Service CenterChinese Academy of SciencesXi'an 710600China School of Astronomy and Space ScienceUniversity of Science and Technology of ChinaHefei 230026China 

出 版 物：《Research in Astronomy and Astrophysics》 (天文和天体物理学研究（英文版）)

年 卷 期：2020年第20卷第3期

页      面：62-75页

核心收录：

学科分类：0709[理学-地质学] 07[理学] 0708[理学-地球物理学] 070401[理学-天体物理] 0704[理学-天文学] 0825[工学-航空宇航科学与技术] 

基　　金：supported by the National Key R&D Program of China(No.2017YFA0402701) supports by the National Natural Science Foundation of China(Grant Nos.11503086 and 11503087) 

主　　题：methods:data analysis methods:numerical ISM:structure 

摘      要：The detection of clumps(cores)in molecular clouds is an important issue in sub-millimetre ***,the completeness of the identification and the accuracy of the returned parameters of the automated clump identification algorithms are still not *** this work,we test the performance and bias of the GaussClumps,ClumpFind,FellWalker,Reinhold,and Dendrograms algorithms in identifying simulated *** designing the simulated clumps with various sizes,peak brightness,and crowdedness,we investigate the characteristics of the algorithms and their *** the aspect of detection completeness,FellWalker,Dendrograms,and GaussClumps are the first,second,and third best algorithms,*** 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 *** the aspect of the accuracy of retrieved parameters,FellWalker and Dendrograms exhibit better performance than the other *** average deviations in clump parameters for all algorithms gradually increase as the size and SNR of clumps *** of the algorithms except FellWalker exhibit significant deviation in extracting the total flux of *** together,FellWalker,GaussClumps,and Dendrograms exhibit the best performance in detection completeness and extracting *** deviation in virial parameter for the six algorithms is relatively *** 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.