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arXiv 1801.02703astro-ph.HE
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中微子不透明度对核塌缩超新星模拟的影响

Impact of Neutrino Opacities on Core-Collapse Supernova Simulations

Kei Kotake, Tomoya Takiwaki, Tobias Fischer, Ko Nakamura, Gabriel Martínez-Pinedo

摘要:

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的有效性的核心。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,其中多能量,三味中微子输运是由各向同性扩散源近似(IDSA)方案解决的。为了验证我们的代码,我们首先使用Bruenn(1985)的一组标准中微子不透明度,给出了一个15 $M_{\odot}$星的核心坍缩、反弹和反弹后约250 ms的一维(1D)模拟结果。与已发表的结果的详细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模拟如何个人不透明度更新导致的差异,从基线运行与标准不透明度集。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的比较。特别强调的是致力于在2D模型的爆炸性的标准。我们讨论了这些结果的影响,以及对未来更精细的CCSN建模的限制和要求。

英文摘要:

Accurate description of neutrino opacities is central both to the core-collapse supernova (CCSN) phenomenon and to 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 multi-energy, three-flavor neutrino transport is solved by the isotropic diffusion source approximation (IDSA) scheme. To verify our code, we first present results from one-dimensional (1D) simulations following core-collapse, bounce, and up to ~ 250 ms postbounce of a 15 $M_{\odot}$ star using a standard set of neutrino opacities by Bruenn (1985). 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 the individual opacity update leads to the difference from the base-line run with the standard opacity set. By making a detailed comparison 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 a systematic comparison in our two-dimensional (2D) simulations. Special emphasis is devoted to the criterion of explodability in the 2D models. We discuss the implications of these results as well as the limitations and requirements for future towards more elaborate CCSN modeling.

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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