Herschel Observations of the W3 GMC: Clues to the Formation of Clusters of High-Mass Stars
A. Rivera-Ingraham, P. G. Martin, D. Polychroni, F. Motte, N., Schneider, S. Bontemps, M. Hennemann, A. Menshchikov, Q. Nguyen Luong, Ph., Andre, D. Arzoumanian, J.-Ph. Bernard, J. Di Francesco, D. Elia, C., Fallscheer, T. Hill, J. Z. Li, V. Minier, S. Pezzuto, A. Roy

TL;DR
This study uses Herschel data to analyze the W3 GMC, revealing key regions and proposing a feedback-driven model for high-mass star cluster formation, emphasizing dynamic environmental processes over classical low-mass star formation.
Contribution
It introduces a 'convergent constructive feedback' scenario for high-mass star cluster formation based on Herschel observations of W3 GMC.
Findings
W3 East, W3 West, and W3 (OH) are the most massive and luminous sources.
High-mass star formation is associated with feedback processes that gather and compress material.
High-mass star formation likely involves dynamic, convergent environmental processes.
Abstract
The W3 GMC is a prime target for the study of the early stages of high-mass star formation. We have used Herschel data from the HOBYS key program to produce and analyze column density and temperature maps. Two preliminary catalogs were produced by extracting sources from the column density map and from Herschel maps convolved to the 500 micron resolution. Herschel reveals that among the compact sources (FWHM<0.45 pc), W3 East, W3 West, and W3 (OH) are the most massive and luminous and have the highest column density. Considering the unique properties of W3 East and W3 West, the only clumps with on-going high-mass star formation, we suggest a 'convergent constructive feedback' scenario to account for the formation of a cluster with decreasing age and increasing system/source mass toward the innermost regions. This process, which relies on feedback by high-mass stars to ensure the…
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.
