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

Improved selection criteria for H II regions, based on IRAS sources
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根据 IRAS 来源改进了 H II 区域的选择标准

DOI:
10.1093/mnras/sty518
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发表时间:
2018-02
影响因子:
4.8
通讯作者:
Tang Zheng-Hong
Tang Zheng-Hong
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Yan Qing-Zeng;Xu Ye;Walsh A. J.;Macquart J. P.;MacLeod G. C.;Zhang Bo;Hancock P. J.;Chen Xi;Tang Zheng-Hong

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我们提出了新的标准,选择HII地区从红外天文卫星(IRAS)点源目录(PSC),HII地区的目录手动来自全天宽视场红外巡天探测器(WISE)的基础上。该标准用于增加TheMilkyWay中HII区域候选者的数量。该标准定义的线性决策边界的两个样本:IRAS点源与已知的HII区域,作为HII区域样本,和IRAS点源在高银河系纬度,作为非H II区域样本。机器学习分类器,特别是支持向量机,用于确定决策边界。我们研究了四个IRAS带的所有组合,并建议最佳标准是log(F-60/F-12)>=(-0.19 x log(F-100/F-25)+1.52),在60和100 μ m处进行检测。这从IRAS PSC中选择了3041个HII区域候选。我们发现,IRAS HII区域候选人显示的证据的演变的双色图。合并的WISE HII目录与IRAS HII区域候选人,我们估计在银河系中的HII区域的数量的下限约为10 200。
We present new criteria for selecting HII regions from the Infrared Astronomical Satellite (IRAS) Point Source Catalogue (PSC), based on an HII region catalogue derived manually from the all-sky Wide-field Infrared Survey Explorer (WISE). The criteria are used to augment the number of HII region candidates in theMilkyWay. The criteria are defined by the linear decision boundary of two samples: IRAS point sources associated with known HII regions, which serve as the HII region sample, and IRAS point sources at high Galactic latitudes, which serve as the non-H II region sample. Amachine 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 (F-60/F-12) >= (-0.19 x log (F-100/F-25) + 1.52), with detections at 60 and 100 mu m. This selects 3041 HII region candidates from the IRAS PSC. We find that IRAS HII region candidates show evidence of evolution on the two-colour diagram. Merging the WISE HII catalogue with IRAS HII region candidates, we estimate a lower limit of approximately 10 200 for the number of HII regions in the Milky Way.
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