...
首页> 外文期刊>The Astrophysical journal >Population Diagram Analysis of Molecular Line Emission
【24h】

Population Diagram Analysis of Molecular Line Emission

机译:分子线发射的种群图分析

获取原文

摘要

We develop the use of the population diagram method to analyze molecular emission in order to derive physical properties of interstellar clouds. We focus particular attention on how the optical depth affects the derived total column density and the temperature. We derive an optical depth correction factor that can be evaluated based on observations and that incorporates the effect of saturation on derived upper level populations. We present analytic results for linear molecules in local thermodynamic equilibrium (LTE). We investigate numerically how subthermal excitation influences the population diagram technique, studying how the determination of kinetic temperature is affected when the local density is insufficient to achieve LTE. We present results for HC3N and CH3OH, representative of linear and nonlinear molecules, respectively. In some cases, alternative interpretations to the standard optically thin and thermalized picture yield significantly different results for column density and kinetic temperature, and we discuss this behavior. The population diagram method can be a very powerful tool for determining physical conditions in dense clouds if proper recognition is given to effects of saturation and subthermal excitation. We argue that the population diagram technique is, in fact, superior to fitting intensities of different transitions directly, and we indicate how it can be effectively employed.
机译:我们开发了使用人口图方法来分析分子发射,以推导星际云的物理特性。我们特别关注光学深度如何影响导出的总色谱柱密度和温度。我们得出一个光学深度校正因子,该因子可根据观察结果进行评估,并结合了饱和对导出的高位总体的影响。我们提出了局部热力学平衡(LTE)中线性分子的分析结果。我们通过数值研究亚热激发如何影响人口图技术,研究当局部密度不足以实现LTE时如何影响动力学温度的确定。我们提供的HC3N和CH3OH分别代表线性和非线性分子的结果。在某些情况下,对标准的光学薄和热图像的替代解释会导致色谱柱密度和动力学温度产生明显不同的结果,我们将讨论这种行为。如果适当地认识到饱和度和亚热激发的影响,人口图方法将是确定密集云中物理条件的非常强大的工具。我们认为,人口图技术实际上优于直接拟合不同过渡的强度,并且我们指出了如何有效地使用它。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号