Binary-stripped Stars as Core-collapse Supernovae Progenitors
Binary-stripped Stars as Core-collapse Supernovae Progenitors
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DOI：
10.3847/2041-8213/ac0b42
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发表时间：
2021-04
期刊：
影响因子：
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通讯作者：
D. Vartanyan;E. Laplace;M. Renzo;Y. Götberg;A. Burrows;S. D. de Mink
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文献类型：
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作者：
D. Vartanyan;E. Laplace;M. Renzo;Y. Götberg;A. Burrows;S. D. de Mink
大多数大质量恒星在其一生中都会经历双星相互作用，这种相互作用可以改变剥离恒星的表面和核心结构，对它们最终成为核心坍缩超新星的命运产生重大影响。然而，迄今为止，核心坍缩超新星的模拟几乎完全集中在单个恒星的演化上。我们提出了一个系统的模拟研究，单和双剥离恒星具有相同的初始质量作为候选的核心坍缩超新星（11-21 M⊙）。通常，我们发现双剥离恒星的核心致密度参数更小，硅/氧界面更突出、更深，并且优先向具有相同初始质量的相应单星爆炸。这两种演化模式之间的这种行为二分法将对超新星统计具有重要意义，包括最终的中子星质量、爆炸能量和核合成产量。双星剥离的残余物也很有可能填充最重的中子星和最轻的黑洞之间可能存在的质量缺口。我们的工作在两个方面有所改进，因为我们自我一致地解释了坍缩前的恒星演化和随后的爆炸结果。即便如此，我们的结果强调需要更详细的恒星演化模型来捕捉爆炸结果的敏感性。
Most massive stars experience binary interactions in their lifetimes that can alter both the surface and core structure of the stripped star with significant effects on their ultimate fate as core-collapse supernovae. However, core-collapse supernovae simulations to date have focused almost exclusively on the evolution of single stars. We present a systematic simulation study of single and binary-stripped stars with the same initial mass as candidates for core-collapse supernovae (11–21 M ⊙). Generally, we find that binary-stripped stars core tend to have a smaller compactness parameter, with a more prominent, deeper silicon/oxygen interface, and explode preferentially to the corresponding single stars of the same initial mass. Such a dichotomy of behavior between these two modes of evolution would have important implications for supernovae statistics, including the final neutron star masses, explosion energies, and nucleosynthetic yields. Binary-stripped remnants are also well poised to populate the possible mass gap between the heaviest neutron stars and the lightest black holes. Our work presents an improvement along two fronts, as we self-consistently account for the pre-collapse stellar evolution and the subsequent explosion outcome. Even so, our results emphasize the need for more detailed stellar evolutionary models to capture the sensitive nature of explosion outcome.