The Perils of Clumpfind: The Mass Spectrum of Sub-structures in Molecular Clouds
Jaime E. Pineda (Harvard-Smithsonian Center for Astrophysics), Erik W., Rosolowsky (University of British Columbia Okanagan), Alyssa A. Goodman, (Harvard-Smithsonian Center for Astrophysics)

TL;DR
This study examines how the Clumpfind algorithm's parameters affect the derived mass spectrum of molecular cloud sub-structures, revealing that in crowded regions the results are highly sensitive to the algorithm's settings, questioning their physical interpretation.
Contribution
The paper demonstrates the dependence of Clumpfind-derived mass spectra on algorithm parameters and observational conditions, highlighting limitations in crowded regions for physical interpretation.
Findings
Mass spectrum slope differs from classical values.
Clumpfind results vary with stepsize in crowded regions.
Caution advised when interpreting Clumpfind outputs in dense environments.
Abstract
We study the mass spectrum of sub-structures in the Perseus Molecular Cloud Complex traced by 13CO (1-0), finding that for the standard Clumpfind parameters. This result does not agree with the classical . To understand this discrepancy we study the robustness of the mass spectrum derived using the Clumpfind algorithm. Both 2D and 3D Clumpfind versions are tested, using 850 m dust emission and 13CO spectral-line observations of Perseus, respectively. The effect of varying threshold is not important, but varying stepsize produces a different effect for 2D and 3D cases. In the 2D case, where emission is relatively isolated (associated with only the densest peaks in the cloud), the mass spectrum variability is negligible compared to the mass function fit uncertainties. In the 3D case, however, where the 13CO emission traces the bulk of…
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