Molecular Clump extraction algorithm based on Local Density Clustering

The detection and parametrization of molecular clumps is the first step in studying them. We propose a method based on Local Density Clustering algorithm while physical parameters those are measured using Multiple Gaussian Model algorithm. One advantage applying to clump segmentation, high accuracy under different signal-to-noise levels. able deal with overlapping whose can be derived reliably. Using simulation synthetic data, we have verified that proposed could characterize morphology flux accurately. total recovery rate $^{13}\rm CO$ (J=1-0) line M16 as 90.2\%. completeness limit 81.7\% 20 K km s$ ^{-1} $ M16, respectively.