论文标题

超新星残留物的角功率谱:结构,几何和弥漫性前景的影响

Angular power spectrum of supernova remnants: effects of structure, geometry and diffuse foreground

论文作者

Choudhuri, Samir, Saha, Preetha, Roy, Nirupam, Bharadwaj, Somnath, Dey, Jyotirmoy

论文摘要

对各个超新星残留物(SNR)强度波动功率谱的研究可以揭示出在子PC尺度上存在的结构,并限制了产生这些结构的物理过程。有各种效果,例如残留的壳厚度,三维结构在二维观察平面上的投影,以及存在弥漫性“前景”发射的存在,这会导致观察到的功率谱偏离波动的内在功率谱。在这里,我们在测得的功率谱中使用直接数值模拟对这些效应进行系统研究的结果。对于独立于幂律指数的输入幂律功率谱,我们看到观察到的功率定律的断裂,取决于壳体型SNR的壳厚度,而三维的湍流则变为二维湍流,超出了该规模。我们还报告说,在存在额外的弥漫性银河同步加速器发射(DGSE)的情况下,预计估计的功率谱将如何偏离固有的SNR功率谱。为了合理的参数选择,如果固有的SNR功率谱比DGSE功率谱较浅,则SNR贡献在估计功率谱的小角度尺度下占主导地位。另一方面,如果SNR功率谱相对陡峭,则仅在角度尺度的小窗口上恢复原始功率谱。这项研究表明,如何使用详细的建模来从观察到的SNR强度波动功率谱中推断出真实的功率谱,而SNR强度波动频谱又可用于约束产生这些小规模结构的湍流的性质。

The study of the intensity fluctuation power spectrum of individual supernova remnants (SNRs) can reveal the structures present at sub-pc scales, and also constrain the physical process that generates those structures. There are various effects, such as the remnant shell thickness, projection of a three-dimensional structure onto a two-dimensional observational plane, and the presence of diffuse "foreground" emission, which causes the observed power spectrum to deviate from the intrinsic power spectrum of the fluctuations. Here, we report results from a systematic study of these effects, using direct numerical simulations, in the measured power spectrum. For an input power-law power spectrum, independent of the power-law index, we see a break in the observed power law at a scale which depends on the shell thickness of a shell-type SNR, and the three-dimensional turbulence changes to two-dimensional turbulence beyond that scale. We also report how the estimated power spectrum is expected to deviate from the intrinsic SNR power spectrum in the presence of additional diffuse Galactic synchrotron emission (DGSE) around the remnant shell. For a reasonable choice of the parameters, if the intrinsic SNR power spectrum is shallower than the DGSE power spectrum, the SNR contribution dominates at small angular scales of the estimated power spectra. On the other hand, if the SNR power spectrum is relatively steeper, the original power spectra is recovered only over a small window of angular scales. This study shows how detailed modeling may be used to infer the true power spectrum from the observed SNR intensity fluctuations power spectrum, which in turn can be used to constrain the nature of the turbulence that gives rise to these small scale structures.

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