Automatic Detection of Expanding H I Shells in the Canadian Galactic Plane Survey Data
The identification of expanding H I shells is difficult because of their variable morphology. In this paper we present an automatic detector for H I shells, based on the more stable dynamical characteristics of expanding bubbles with radii <40 pc. The detection is performed in two stages. First,...
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Published in | The Astrophysical journal Vol. 661; no. 1; pp. 285 - 303 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
IOP Publishing
20.05.2007
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Online Access | Get full text |
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Summary: | The identification of expanding H I shells is difficult because of their variable morphology. In this paper we present an automatic detector for H I shells, based on the more stable dynamical characteristics of expanding bubbles with radii <40 pc. The detection is performed in two stages. First, artificial neural networks are trained to recognize the dynamical signature of an expanding bubble in the velocity spectra of 21 cm data. The second stage consists of subsequent validations based on the potential bubble's morphology. The technique is tested on 11 known bubbles, and 10 of them are successfully detected. Conducting a systematic detection on a 48 degree x 9 degree region in the Perseus arm, we obtain 7100 detections with spatial distribution following the stellar distribution of the Galactic disk. The estimated radius and expansion velocity distributions for objects with R less than or equal to 10 pc agree with the distributions predicted by models of adiabatically expanding bubble populations. The fraction of the Perseus arm volume occupied by the detected objects, which can be interpreted as the small bubbles' contribution to the Galactic porosity Q, is calculated to Q sub(R<40pc) = 0.007 super(+) sub(-) super(0) sub(0) super(.) sub(.) super(0) sub(0) super(2) sub(0) super(5) sub(3). Four new bubble cases and eight serious candidates, related to known progenitors, are proposed. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0004-637X 1538-4357 |
DOI: | 10.1086/513501 |