论文标题
恒星 - 气体表面密度相关性在附近的十二个分子云I:数据收集和星形采样分析
Star-Gas Surface Density Correlations in Twelve Nearby Molecular Clouds I: Data Collection and Star-Sampled Analysis
论文作者
论文摘要
我们探讨了恒星质量表面密度与分子氢气的质量表面密度之间的关系,在附近的十二个分子云中,该云位于$ 1.5 $ 1.5 kpc的距离。样品云范围质量,大小和恒星形成率的数量级范围。我们使用$ HERSCHEL $地图的热灰尘排放来探测气体表面密度和来自最新的$ Spitzer $扩展太阳能邻里档案馆(sesna)目录中的年轻恒星物体,以探测恒星表面密度。使用恒星采样的最近邻居技术在几个parsecs的尺度上探测星形气体表面密度相关性,我们发现恒星质量表面密度随着气体质量表面密度的幂律而变化,在所有云中,幂律指数为$ \ sim $ 2。一致的幂律指数意味着恒星形成效率与气柱密度直接相关,并且未观察到恒星形成的气柱密度阈值。我们比较观察到的相关性与热片段分析模型的预测,以及对湍流恒星形成分子云的最新流体动力模拟的合成观察。我们发现,对于某些云与热片段化模型,观察到的相关性是一致的,可以使用流体动力模拟来再现。
We explore the relation between the stellar mass surface density and the mass surface density of molecular hydrogen gas in twelve nearby molecular clouds that are located at $<$1.5 kpc distance. The sample clouds span an order of magnitude range in mass, size, and star formation rates. We use thermal dust emission from $Herschel$ maps to probe the gas surface density and the young stellar objects from the most recent $Spitzer$ Extended Solar Neighborhood Archive (SESNA) catalog to probe the stellar surface density. Using a star-sampled nearest neighbor technique to probe the star-gas surface density correlations at the scale of a few parsecs, we find that the stellar mass surface density varies as a power-law of the gas mass surface density, with a power-law index of $\sim$2 in all the clouds. The consistent power-law index implies that star formation efficiency is directly correlated with gas column density, and no gas column density threshold for star formation is observed. We compare the observed correlations with the predictions from an analytical model of thermal fragmentation, and with the synthetic observations of a recent hydrodynamic simulation of a turbulent star-forming molecular cloud. We find that the observed correlations are consistent for some clouds with the thermal fragmentation model and can be reproduced using the hydrodynamic simulations.