使用各向异性作为解码超新星遗迹的法医工具
Using Anisotropies as a Forensic Tool for Decoding Supernova Remnants
摘要:
我们提出了一种分析超新星遗迹(SNRs)的方法,通过诊断的驱动程序负责在不同的角度尺度的结构。首先,我们执行一套流体动力学模型的瑞利-泰勒不稳定性(RTI)的超新星碰撞与周围的介质。使用这些模型,我们演示了如何功率谱分析可以用来属性的尺度在SNR的RTI驱动,这必须引起的内在不对称性在初始爆炸。我们预测RTI驱动的湍流的功率谱,并确定一个占主导地位的角模式,它代表了最大的规模,有效地通过RTI增长。我们发现,这一主导模式与喷出物中的密度标度高度有关,因此揭示了SN喷出物的密度分布。如果在大于该模式的角尺度上SNR中存在显著的结构,则其可能是由爆炸中的各向异性引起的。角尺度上的结构小于主导模式,表现出与波数的急剧缩放,可能太陡而与湍流级联不一致,因此可能由RTI在不同长度尺度上的饱和度决定(尽管需要系统的3D研究来研究这一点)。我们还表明,与以前的研究一致,这个功率谱是独立的幅度和长度尺度的扰动在周围介质中,因此,这种诊断是不受“丛生”的CSM。
英文摘要:
We present a method for analyzing supernova remnants (SNRs) by diagnosing the drivers responsible for structure at different angular scales. First, we perform a suite of hydrodynamic models of the Rayleigh-Taylor instability (RTI) as a supernova collides with its surrounding medium. Using these models we demonstrate how power spectral analysis can be used to attribute which scales in a SNR are driven by RTI and which must be caused by intrinsic asymmetries in the initial explosion. We predict the power spectrum of turbulence driven by RTI and identify a dominant angular mode which represents the largest scale that efficiently grows via RTI. We find that this dominant mode relates to the density scale height in the ejecta, and therefore reveals the density profile of the SN ejecta. If there is significant structure in a SNR on angular scales larger than this mode, then it is likely caused by anisotropies in the explosion. Structure on angular scales smaller than the dominant mode exhibits a steep scaling with wavenumber, possibly too steep to be consistent with a turbulent cascade, and therefore might be determined by the saturation of RTI at different length scales (although systematic 3D studies are needed to investigate this). We also demonstrate, consistent with previous studies, that this power spectrum is independent of the magnitude and length scales of perturbations in the surrounding medium and therefore this diagnostic is unaffected by ``clumpiness" in the CSM.
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