arXiv 1012.23702010-12-10astro-ph.GA

GLIMPSE- I探测到的银河系行星状星云的多波长诊断性质

Multi-wavelength diagnostic properties of Galactic Planetary Nebulae detected by GLIMPSE-I

Martin Cohen, Quentin A. Parker, Anne J. Green, Brent Miszalski, David J. Frew, Tara Murphy

备注：: 32 pages, 18 figures, 10 tables
DOI：: 10.1111/j.1365-2966.2010.18157.x

摘要：

我们统一分析了136光学检测PNe和候选人从GLIMPSE-I调查，以发展强大的，多波长，分类标准，以增强现有的诊断，并提供纯PN样本。PNe代表了强大的天体物理探测器。它们是重要的动力学示踪剂，ISM化学富集的关键来源，晚期恒星演化的窗口，以及强有力的宇宙学尺度。但它们的实用性取决于将它们与许多星云模拟物明确区分开来，这些星云模拟物在传统光学图像和光谱中与真正的Pne非常相似。我们合并新的PNE从仔细评估，同质的MASH-I和MASH-II的调查，提供了更广泛的进化范围的PNE比迄今为止，与以前已知的PNE由SIMPAD分类。中红外（MIR）测量是光学数据的重要补充，因为它们通过精细结构线，分子带和尘埃揭示了其他物理过程和形态。和平号彩色平面、光发射线比率和射电通量表明，对PNe的明确分类是复杂的，需要所有现有的证据。统计趋势提供了预测价值，我们提供定量的MIR标准，以确定发射星云是否最有可能是PN或常见的污染物之一，如紧凑的HII区域或共生系统。先前的分类是光学图像和光谱，但MIR形态、颜色、环境和候选者的MIR/射电通量比提供了更严格的分类。我们的最终目标是只使用MIR和无线电特征识别PNE，使我们能够有效地拖网PNE，即使在银河系的严重模糊区域。

英文摘要：

We uniformly analyze 136 optically detected PNe and candidates from the GLIMPSE-I survey in order to to develop robust, multi-wavelength, classification criteria to augment existing diagnostics and provide pure PN samples. PNe represent powerful astrophysical probes. They are important dynamical tracers, key sources of ISM chemical enrichment, windows into late stellar evolution, and potent cosmological yardsticks. But their utility depends on separating them unequivocally from the many nebular mimics which can strongly resemble bona fide PNe in traditional optical images and spectra. We merge new PNe from the carefully evaluated, homogeneous MASH-I and MASH-II surveys, which offer a wider evolutionary range of PNe than hitherto available, with previously known PNe classified by SIMBAD. Mid-infrared (MIR) measurements vitally complement optical data because they reveal other physical processes and morphologies via fine-structure lines, molecular bands and dust. MIR colour-colour planes, optical emission line ratios and radio fluxes show the unambiguous classification of PNe to be complex, requiring all available evidence. Statistical trends provide predictive value and we offer quantitative MIR criteria to determine whether an emission nebula is most likely to be a PN or one of the frequent contaminants such as compact HII regions or symbiotic systems. Prerequisites have been optical images and spectra but MIR morphology, colours, environment and a candidate's MIR/radio flux ratio provide a more rigorous classification. Our ultimate goal is to recognize PNe using only MIR and radio characteristics, enabling us to trawl for PNe effectively even in heavily obscured regions of the Galaxy.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

摘要：

英文摘要：

相关论文