The Milky Way Project: A statistical study of massive star formation associated with infrared bubbles
Sarah Kendrew (1), Robert J. Simpson (2), Eli Bressert (3,4,5),, Matthew S. Povich (6), Reid Sherman (7), Chris Lintott (2), Thomas P., Robitaille (1), Kevin Schawinski (8), Grace Wolf-Chase (9,7) ((1) Max Planck, Institute for Astronomy, Heidelberg, (2) University of Oxford

TL;DR
This study analyzes the association between infrared bubbles and massive star formation in the Milky Way, revealing significant correlations and evidence for triggered star formation, and demonstrates the utility of citizen science data for discovering distant clusters.
Contribution
It provides a comprehensive statistical analysis of infrared bubbles and their link to massive star formation, highlighting the role of feedback and triggered star formation in the Galaxy.
Findings
67% of massive young stellar objects are associated with bubbles
Approximately 22% of massive stars may form due to feedback from H II regions
Serendipitous discovery of the massive cluster Mercer 81
Abstract
The Milky Way Project citizen science initiative recently increased the number of known infrared bubbles in the inner Galactic plane by an order of magnitude compared to previous studies. We present a detailed statistical analysis of this dataset with the Red MSX Source catalog of massive young stellar sources to investigate the association of these bubbles with massive star formation. We particularly address the question of massive triggered star formation near infrared bubbles. We find a strong positional correlation of massive young stellar objects (MYSOs) and H II regions with Milky Way Project bubbles at separations of < 2 bubble radii. As bubble sizes increase, a statistically significant overdensity of massive young sources emerges in the region of the bubble rims, possibly indicating the occurrence of triggered star formation. Based on numbers of bubble-associated RMS sources we…
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.
