团块介质中的超新星残余物:流体动力和射电同步辐射演化模型

Petar Kostić, Bojan Arbutina, Branislav Vukotić, Dejan Urošević
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引用次数: 0

摘要

我们提出了超新星残余(SNR)在团块状介质中演化的$\Sigma-D$关系的分析模型。该模型及其近似值是通过流体力学模拟SNR在不同密度和体积填充因子的流密度气泡和团块介质环境中的演化而建立的。为了计算SNR的光度,我们开发了同步辐射模型,其中隐含了测试粒子近似。这项工作的目标是解释银河系SNR在$D(约14-50$ pc)时的$\Sigma-D$关系的扁平部分。我们的模型显示,冲击与团块介质的碰撞最初会增强单个SNR的亮度,随后它们的$\Sigma-D$曲线会陡峭地下降。我们利用分析模型在$\Sigma-D$平面上生成了大量的SNR样本,这些样本分布在不同密度和与团块介质距离的范围内,并保持了观测到的直径分布。在与银河系样本进行比较之后,我们得出结论:观测到的$\Sigma-D$扁平化和散射现象是由于单个SNR在与致密团块碰撞时产生的脉冲发射跃迁造成的。据统计,星团的显著影响始于直径为$\approx14$ pc的星团,最大可达$\sim70$ pc,星团中密度处的平均密度跃迁为$\sim2-20$倍,大致取决于环恒星区的低密度。然而,还需要进行更多的分析,考虑选择效应,以及改进模型,考虑梯度损失和热传导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Supernova remnants in clumpy medium: A model of hydrodynamic and radio synchrotron evolution
We present an analytical model of $\Sigma-D$ relation for supernova remnants (SNRs) evolving in a clumpy medium. The model and its approximations were developed using the hydrodynamic simulations of SNRs in environments of low-density bubbles and clumpy media with different densities and volume-filling factors. For calculation of SNR luminosities we developed the synchrotron emission model, implying the test-particle approximation. The goal of this work is to explain the flattened part of $\Sigma-D$ relation for Galactic SNRs at $D\approx14-50$ pc. Our model shows that the shock collision with the clumpy medium initially enhances the brightness of individual SNRs, which is followed by a steeper fall of their $\Sigma-D$ curve. We used the analytical model to generate large SNR samples on $\Sigma-D$ plane, within a span of different densities and distances to clumpy medium, keeping the observed distribution of diameters. After comparison with the Galactic sample, we conclude that the observed $\Sigma-D$ flattening and scatter originates in sporadic emission jumps of individual SNRs while colliding with the dense clumps. Statistically, the significant impact of the clumps starts at diameters of $\approx14$ pc, up to $\sim70$ pc, with the average density jump at clumpy medium of $\sim2-20$ times, roughly depending on the low density of circumstellar region. However, additional analysis considering the selection effects is needed, as well as the improvement of the model, considering radiation losses and thermal conduction.
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