On the Three-Dimensional Structure of Local Molecular Clouds
Catherine Zucker, Alyssa Goodman, Jo\~ao Alves, Shmuel Bialy, Eric W., Koch, Joshua S. Speagle, Michael M. Foley, Douglas Finkbeiner, Reimar Leike,, Torsten En{\ss}lin, Joshua E. G. Peek, Gordian Edenhofer

TL;DR
This study uses high-resolution 3D dust maps to analyze the internal structure of nearby molecular clouds, revealing a two-component density profile and providing insights into cloud composition and evolution.
Contribution
It introduces a novel 3D analysis method for molecular clouds, including skeletonization and detailed density profiling, advancing understanding of cloud structure beyond 2D observations.
Findings
Cloud density profiles are well-fit by a two-component Gaussian model.
Outer and inner envelope widths have a ratio of approximately 3:1.
3D dust maps accurately recover total cloud mass, with deviations at high extinction levels.
Abstract
We leverage the 1 pc spatial resolution of the Leike et al. 2020 3D dust map to characterize the three-dimensional structure of nearby molecular clouds ( pc). We start by "skeletonizing" the clouds in 3D volume density space to determine their "spines," which we project on the sky to constrain cloud distances with uncertainty. For each cloud, we determine an average radial volume density profile around its 3D spine and fit the profiles using Gaussian and Plummer functions. The radial volume density profiles are well-described by a two-component Gaussian function, consistent with clouds having broad, lower-density outer envelopes and narrow, higher-density inner layers. The ratio of the outer to inner envelope widths is . We hypothesize that these two components may be tracing a transition between atomic and diffuse molecular gas or between the…
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