The Milky Way contains a significant number of unconfirmed HII regions, the archetypical tracers of Galactic high-mass star formation. There are over 2000 confirmed HII regions in the Milky Way, but our Milky Way surveys are deficient by several thousand HII regions when compared to external galaxies with similar star formation rates. This is odd given our close proximity to these Milky Way HII regions compared to distant extragalactic sources. Through sensitive 9 GHz radio continuum observations with the Jansky Very Large Array, we explore a faint class of unconfirmed HII region candidates to put limits on the total population of Galactic HII regions. We show that stars of spectral type B2 create HII regions with similar infrared and radio continuum morphologies as those HII regions created by O-stars. We achieve this by measuring the peak and integrated radio flux densities from these faint infrared-identified objects and comparing the inferred Lyman continuum fluxes with spectral models of OB-stars. From our 50% detection rate of previously "radio quiet" sources from the WISE Catalog of Galactic HII regions, we expect a lower limit of ~7000 HII regions in our Galaxy. We have not yet discovered the vast majority of the Milky Way's HII regions.
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Radio Recombination Lines from HII Regions
The ngVLA will create a Galaxy-wide, volume-limited sample of HII regions; solve some long standing problems in the physics of HII regions; and provide an extinction-free star formation tracer in nearby galaxies.
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- Award ID(s):
- 1714688
- PAR ID:
- 10109640
- Date Published:
- Journal Name:
- ASP Conference Series
- Volume:
- 517
- Issue:
- ASP Monograph 7
- Page Range / eLocation ID:
- 431
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Despite decades of effort, the morphological structure of the Milky Way remains hidden behind dust extinction, small number statistics, and complicated datasets. HII regions, the volumes of ionized gas surrounding recently-formed massive stars, are a classic tracer of spiral arms in galaxies. Over the past decade, the HII Region Discovery Surveys have nearly tripled the number of known Galactic HII regions. With the new Galaxy-wide flux-limited sample of Milky Way HII regions, we are poised to revolutionize our understanding of spiral structure across the Galactic disk. Traditional methods of fitting Galactic structure models to the three-dimensional positions of these nebulae are impossible, however, since most Galactic HII regions lack accurate distance determinations. We are developing a novel machine learning approach that uses simulation based inference to fit complex models of Galactic structure to the complicated position-position-velocity HII region dataset, thereby removing the need for accurate distances. Using simulated observations, we demonstrate the efficacy of this new technique and its potential to reveal the structure of spiral arms across the Milky Way.more » « less
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