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2018MNRAS.476.3981Y - Mon. Not. R. Astron. Soc., 476, 3981-3990 (2018/May-3)

Improved selection criteria for H II regions, based on IRAS sources.

YAN Q.-Z., XU Y., WALSH A.J., MACQUART J.P., MacLEOD G.C., ZHANG B., HANCOCK P.J., CHEN X. and TANG Z.-H.

Abstract (from CDS):

We present new criteria for selecting H II regions from the Infrared Astronomical Satellite (IRAS) Point Source Catalogue (PSC), based on an H II region catalogue derived manually from the all-sky Wide-field Infrared Survey Explorer (WISE). The criteria are used to augment the number of H II region candidates in the Milky Way. The criteria are defined by the linear decision boundary of two samples: IRAS point sources associated with known H II regions, which serve as the H II region sample, and IRAS point sources at high Galactic latitudes, which serve as the non-H II region sample. A machine learning classifier, specifically a support vector machine, is used to determine the decision boundary. We investigate all combinations of four IRAS bands and suggest that the optimal criterion is log(F60/F12) \geqq (-0.19 ×log(F100/F25)+ 1.52), with detections at 60 and 100 µm. This selects 3041 H II region candidates from the IRAS PSC. We find that IRAS H II region candidates show evidence of evolution on the two-colour diagram. Merging the WISE H II catalogue with IRAS H II region candidates, we estimate a lower limit of approximately 10 200 for the number of H II regions in the Milky Way.

Abstract Copyright: © 2018 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society

Journal keyword(s): stars: evolution - stars: massive - stars: statistics - H ii regions - infrared: ISM - infrared: stars

Simbad objects: 7

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2019.10.24-02:34:01

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