Hierarchical fragmentation in the Perseus molecular cloud: From the cloud scale to protostellar objects
Riwaj Pokhrel, Philip C. Myers, Michael M. Dunham, Ian W. Stephens,, Sarah I. Sadavoy, Qizhou Zhang, Tyler L. Bourke, John J. Tobin, Katherine I., Lee, Robert A. Gutermuth, Stella S. R. Offner

TL;DR
This study investigates the hierarchical structure of the Perseus molecular cloud across five scales, revealing that observed fragmentation is less efficient than classical Jeans predictions, with efficiency increasing at smaller scales.
Contribution
First comprehensive analysis of hierarchical fragmentation across five scales in a single molecular cloud, comparing observed fragments with Jeans predictions using new SMA data.
Findings
Thermal Jeans predicts more fragments than observed at all scales.
Fragmentation efficiency increases from large to small scales.
Results are inconsistent with complete Jeans fragmentation models.
Abstract
We present a study of hierarchical structure in the Perseus molecular cloud, from the scale of the entire cloud (10 pc) to smaller clumps (1 pc), cores (0.05-0.1 pc), envelopes (300-3000 AU) and protostellar objects (15 AU). We use new observations from the Submillimeter Array (SMA) large project "Mass Assembly of Stellar Systems and their Evolution with the SMA (MASSES)" to probe the envelopes, and recent single-dish and interferometric observations from the literature for the remaining scales. This is the first study to analyze hierarchical structure over five scales in the same cloud complex. We compare the number of fragments with the number of Jeans masses in each scale to calculate the Jeans efficiency, or the ratio of observed to expected number of fragments. The velocity dispersion is assumed to arise either from purely thermal motions, or from…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
