Structural Analysis of Molecular Clouds: Dendrograms
E. W. Rosolowsky (1,2), J. E. Pineda (1), J. Kauffmann (1,3), and A., A. Goodman (1,3) ((1) CfA (2) UBC Okanagan (3) Harvard IIC)

TL;DR
This paper introduces a dendrogram-based method to analyze the hierarchical structure of molecular clouds in data cubes, revealing insights into self-gravity and cloud properties across scales.
Contribution
The study develops a refined dendrogram technique for multiscale analysis of molecular cloud structures, distinguishing self-gravitating regions in observational and simulated data.
Findings
Evidence of self-gravity across multiple scales in L1448.
Most emission in simulated data originates from self-gravitating objects.
Reproduces the size-line width relation with an exponent of 0.58.
Abstract
We demonstrate the utility of dendrograms at representing the essential features of the hierarchical structure of the isosurfaces for molecular line data cubes. The dendrogram of a data cube is an abstraction of the changing topology of the isosurfaces as a function of contour level. The ability to track hierarchical structure over a range of scales makes this analysis philosophically different from local segmentation algorithms like CLUMPFIND. Points in the dendrogram structure correspond to specific volumes in data cubes defined by their bounding isosurfaces. We further refine the technique by measuring the properties associated with each isosurface in the analysis allowing for a multiscale calculation of molecular gas properties. Using COMPLETE 13CO(1-0) data from the L1448 region in Perseus and mock observations of a simulated data cube, we identify regions that have a significant…
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