论文标题

超新星残留物的宇宙射线的随机性和分子云中的电离速率

Stochasticity of Cosmic Rays from Supernova Remnants and the Ionization Rates in Molecular Clouds

论文作者

Phan, Vo Hong Minh, Recchia, Sarah, Mertsch, Philipp, Gabici, Stefano

论文摘要

宇宙射线是唯一能够渗透到致密分子云内部的药物。通过电离沉积(一部分)能量,宇宙射线在确定恒星形成区域的物理和化学演化中起着至关重要的作用。首先近似,它们的效果可以通过宇宙射线诱导的电离速率来量化。有趣的是,假设在局部星际介质中观察到的宇宙射线光谱的电离速率的理论估计值会导致电离速率低于观测值推论的值一到两个数量级。但是,由于来源的离散性质,MEV宇宙射线的局部光谱通常不代表银河系其他地方的光谱。这种随机性效应具有将建模电离速率与测得的电离速率进行调解的潜力。在这里,我们对银河系中超新星残留物的统计人群预期的低能宇宙射线光谱的分布进行了建模。电离率的相应分布得出并面对数据。我们发现,随机不确定性有助于解释在许多分子云中观察到的令人惊讶的高电离率。

Cosmic rays are the only agent able to penetrate into the interior of dense molecular clouds. Depositing (part of) their energy through ionisation, cosmic rays play an essential role in determining the physical and chemical evolution of star-forming regions. To a first approximation their effect can be quantified by the cosmic-ray induced ionization rate. Interestingly, theoretical estimates of the ionization rate assuming the cosmic-ray spectra observed in the local interstellar medium result in an ionization rate that is one to two orders of magnitude below the values inferred from observations. However, due to the discrete nature of sources, the local spectra of MeV cosmic rays are in general not representative for the spectra elsewhere in the Galaxy. Such stochasticity effects have the potential of reconciling modelled ionization rates with measured ones. Here, we model the distribution of low-energy cosmic-ray spectra expected from a statistical population of supernova remnants in the Milky Way. The corresponding distribution for the ionization rate is derived and confronted with data. We find that the stochastic uncertainty helps with explaining the surprisingly high ionization rates observed in many molecular clouds.

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