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THE TWO STATES OF STAR-FORMING CLOUDS

机译:星状云的两种状态

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We examine the effects of self-gravity and magnetic fields on supersonic turbulence in isothermal molecular clouds with high-resolution simulations and adaptive mesh refinement. These simulations use large root grids (5123) to capture turbulence and four levels of refinement to follow the collapse to high densities, for an effective resolution of 81923. Three Mach 9 simulations are performed, two super-Alfvénic and one trans-Alfvénic. We find that gravity splits the clouds into two populations, one low-density turbulent state and one high-density collapsing state. The low-density state exhibits properties similar to non-self-gravitating in this regime, and we examine the effects of varied magnetic field strength on statistical properties: the density probability distribution function is approximately lognormal, the velocity power spectral slopes decrease with decreasing mean field strength, the alignment between velocity and magnetic field increases with the field, and the magnetic field probability distribution can be fitted to a stretched exponential. The high-density state is well characterized by self-similar spheres: the density probability distribution is a power law, collapse rate decreases with increasing mean field, density power spectra have positive slopes, P(ρ, k)∝k, thermal-to-magnetic pressure ratios are roughly unity for all mean field strengths, dynamic-to-magnetic pressure ratios are larger than unity for all mean field strengths, the magnetic field distribution follows a power-law distribution. The high Alfvén Mach numbers in collapsing regions explain the recent observations of magnetic influence decreasing with density. We also find that the high-density state is typically found in filaments formed by converging flows, consistent with recent Herschel observations. Possible modifications to existing star formation theories are explored. The overall trans-Alfvénic nature of star-forming clouds is discussed.
机译:我们使用高分辨率模拟和自适应网格细化方法研究了自重和磁场对等温分子云中超音速湍流的影响。这些模拟使用大的根网格(5123)捕获湍流,并采用四个细化级别跟踪坍塌至高密度,从而获得有效分辨率81923。执行了3个Mach 9模拟,两个超级Alfvénic模拟和一个反Alfvénic模拟。我们发现,重力将云分裂成两个种群,一个是低密度湍流状态,另一个是高密度塌陷状态。低密度状态在这种情况下表现出与非自重相似的特性,我们研究了磁场强度变化对统计特性的影响:密度概率分布函数近似为对数正态,速度功率谱斜率随均值减小而减小磁场强度,速度和磁场之间的对准随磁场而增加,并且磁场概率分布可以拟合为拉伸的指数。高密度状态具有自相似球体的特征:密度概率分布是幂律,崩溃率随平均场的增加而减小,密度功率谱具有正斜率,P(ρ,k)∝k,热-电磁压力比对于所有平均场强大致是统一的,动态磁压力比对于所有平均场强都大于统一的,磁场分布遵循幂律分布。坍塌区域中高的Alfvén马赫数解释了最近观察到的磁影响随密度降低的现象。我们还发现,高密度状态通常出现在由会聚流动形成的细丝中,这与最近的赫歇尔观测一致。探索了对现有恒星形成理论的可能修改。讨论了恒星形成云的整体反阿尔弗涅性质。

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