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arXiv 1707.09356astro-ph.GA
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列密度概率分布函数(N-PDF)的剖析

The Anatomy of the Column Density Probability Distribution Function (N-PDF)

Hope Chen, Blakesley Burkhart, Alyssa A. Goodman, David C. Collins

摘要:

GMC的柱密度概率分布函数(N-PDF)已被用作恒星形成的诊断。模拟和分析预测表明,N-PDF由低密度对数正态分量和高密度幂律分量组成,分别追踪湍流和引力坍缩。在本文中,我们研究如何创建的形状,或“解剖”的PDF的各种属性的真正的2D列密度分布。我们测试我们的想法和分析方法,使用一个真实的,观察到的,PDF的基础上赫歇尔观测尘埃排放以及模拟,使用ENZO代码。使用树状图分析,我们研究了三个主要组成部分的N-PDF:对数正态分量,幂律分量,这两个组件之间的过渡点。我们发现,一个N-PDF的幂律分量是由树状图算法确定的幂律子结构的N-PDF的总和。我们还发现,Burkhart,Stalpes & Collins(2017)提出的对数正态和幂律分量之间的过渡点的解析解在不确定性范围内对观测和模拟进行测试时是适用的。我们重新确认并扩展了Lombardi,Alves & Lada(2015)的结果,该结果指出,由于地图区域的人为选择,N-PDF的对数正态分量很难约束。基于由此产生的解剖的N-PDF,我们建议避免分析的列密度结构的恒星形成区域的基础上只适合对数正态分量的N-PDF。我们还建议将N-PDF分析与树状图算法相结合,以获得更完整的全局和局部环境及其对密度结构的影响。

英文摘要:

The column density probability distribution function (N-PDF) of GMCs has been used as a diagnostic of star formation. Simulations and analytic predictions have suggested the N-PDF is composed of a low density lognormal component and a high density power-law component, tracing turbulence and gravitational collapse, respectively. In this paper, we study how various properties of the true 2D column density distribution create the shape, or "anatomy" of the PDF. We test our ideas and analytic approaches using both a real, observed, PDF based on Herschel observations of dust emission as well as a simulation that uses the ENZO code. Using a dendrogram analysis, we examine the three main components of the N-PDF: the lognormal component, the power-law component, and the transition point between these two components. We find that the power-law component of an N-PDF is the summation of N-PDFs of power-law substructures identified by the dendrogram algorithm. We also find that the analytic solution to the transition point between lognormal and power-law components proposed by Burkhart, Stalpes & Collins (2017) is applicable when tested on observations and simulations, within the uncertainties. We reconfirm and extend the results of Lombardi, Alves & Lada (2015), which stated that the lognormal component of the N-PDF is difficult to constrain due to the artificial choice of the map area. Based on the resulting anatomy of the N-PDF, we suggest avoiding analyzing the column density structures of a star forming region based solely on fits to the lognormal component of an N-PDF. We also suggest applying the N-PDF analysis in combination with the dendrogram algorithm, to obtain a more complete picture of the global and local environments and their effects on the density structures.

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。

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