Impact of Neutrino Opacities on Core-collapse Supernova Simulations
Impact of Neutrino Opacities on Core-collapse Supernova Simulations
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DOI：
10.3847/1538-4357/aaa716
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发表时间：
2018-01
期刊：
影响因子：
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通讯作者：
K. Kotake;T. Takiwaki;T. Fischer;K. Nakamura;G. Mart'inez-Pinedo
中科院分区：
文献类型：
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作者：
K. Kotake;T. Takiwaki;T. Fischer;K. Nakamura;G. Mart'inez-Pinedo
中微子不透明度的准确描述是核心坍缩超新星（CCSN）现象和爆炸机制本身有效性的核心。在这项工作中，我们系统地研究了各种精心挑选的中微子不透明度在CCSN模拟中的作用，其中使用各向同性扩散源近似（IDSA）方案解决了多能量，三味中微子输运。为了验证我们的代码，我们首先使用布鲁恩的一组标准中微子不透明度来呈现一颗星星的核心坍缩、反弹和~ 250 ms后反弹的一维（1D）模拟结果。与已发表的结果进行了详细的比较，支持我们的三味IDSA计划使用标准的不透明度集的可靠性。然后，我们调查在1D模拟如何个别不透明度更新导致与基线运行的标准不透明度集的差异。通过与以前的工作进行详细的比较，我们检查我们的实施的有效性，每一步一步的方式更新。在我们的二维（2D）模拟中，选择对1D模拟中的整体演化影响最大的单个中微子不透明度进行系统比较。特别注意的是在二维模型的爆炸性的标准。我们讨论了这些结果的影响，以及它的局限性和未来的要求，更详细的CCSN建模。
The accurate description of neutrino opacities is central to both the core-collapse supernova (CCSN) phenomenon and the validity of the explosion mechanism itself. In this work, we study in a systematic fashion the role of a variety of well-selected neutrino opacities in CCSN simulations where the multi-energy, three-flavor neutrino transport is solved using the isotropic diffusion source approximation (IDSA) scheme. To verify our code, we first present results from one-dimensional (1D) simulations following the core collapse, bounce, and ∼250 ms postbounce of a star using a standard set of neutrino opacities by Bruenn. A detailed comparison with published results supports the reliability of our three-flavor IDSA scheme using the standard opacity set. We then investigate in 1D simulations how individual opacity updates lead to differences with the baseline run with the standard opacity set. Through detailed comparisons with previous work, we check the validity of our implementation of each update in a step-by-step manner. Individual neutrino opacities with the largest impact on the overall evolution in 1D simulations are selected for systematic comparisons in our two-dimensional (2D) simulations. Special attention is given to the criterion of explodability in the 2D models. We discuss the implications of these results as well as its limitations and the requirements for future, more elaborate CCSN modeling.