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arXiv 1311.5166astro-ph.GAastro-ph.HE
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超新星遗迹和星际介质的尺寸分布:M33的情况

Size distribution of supernova remnants and the interstellar medium: the case of M33

Abdul I. Asvarov

摘要:

超新星遗迹(SNRs)的大小分布可以帮助澄清其演化和与星际介质(ISM)相互作用的各个方面。由于观测到的SNR样本是在ISM的不同条件下演化的具有非常不同的年龄和起源的对象的集合,因此可以使用统计蒙特卡罗方法来模拟它们的统计分布。基于非常一般的假设的演变,我们模拟了样本的信噪比在不同的初始和环境条件下,然后与观察到的集合的信噪比进行比较。在SNR的演变中,考虑了ISM的压力,这决定了它们的最大尺寸和寿命。在比较模拟分布和观测分布时,具有不受选择效应影响的同质观测数据是非常重要的。我们发现,如果我们选择硬度比在有限值范围内的X射线SNR,则最近发表的M33中SNR的集合(Long等人,2010,ApJS,187,495)满足这一要求。对于$\sim\ 90%$的M33中ISM(含$n_{\rm H}\sim 0.2-0.5~ \rm {cm}^{-3}; T \sim 8000-10000~K $的部分电离气体)暖相的体积填充因子,SNR的这一子集的分布与建模SNR的子集的分布之间达到了极好的一致。用这种方法构造的统计分布实际上再现了观测到的信噪比的所有统计特性,使我们能够获得M33的一个重要参数:出生率是每$ {140} - {150}$年一个信噪比,激波马赫数为$M_{s} \geq 2$的信噪比的总数大于$\sim 1000$。

英文摘要:

The size distribution of supernova remnants (SNRs) can help to clarify the various aspects of their evolution and interaction with the interstellar medium (ISM). Since the observed samples of SNRs are a collection of objects with very different ages and origin that evolve in different conditions of the ISM, statistical Monte Carlo methods can be used to model their statistical distributions. Based on very general assumptions on the evolution, we have modeled samples of SNRs at various initial and environmental conditions, which were then compared with observed collections of SNRs. In the evolution of SNRs the pressure of the ISM is taken into account, which determines their maximum sizes and lifetimes. When comparing the modeled and observed distributions, it is very important to have homogeneous observational data free from selection effects. We found that a recently published collection of SNRs in M33 (Long et al. 2010, ApJS,187,495) satisfies this requirement if we select the X-ray SNRs with hardness ratios in a limited range of values. An excellent agreement between distributions of this subset of SNRs and the subset of modeled SNRs was reached for a volume filling-factor of the warm phase of the ISM (partly ionized gas with $n_{\rm H}\sim 0.2-0.5~ \rm {cm}^{-3}; T \sim 8000-10000~K $) in M33 of $\sim\ 90%$. The statistical distributions constructed in this way, which reproduce practically all the statistical properties of observed SNRs, allowed us to obtain one of the important parameters of M33: the birthrate is one SNR every $ {140} - {150}$ yr, and the total number of SNRs with a shock Mach number $M_{s} \geq 2$ is larger than $\sim 1000$.

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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