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arXiv 0811.0576astro-ph
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HD 271791:一颗逃离银河系的极端超新星B星

HD 271791: An Extreme Supernova Runaway B Star Escaping from the Galaxy

Norbert Przybilla, Maria-Fernanda Nieva, Ulrich Heber, Keith Butler

摘要:

超高速恒星(HVS)最初被理论预测是由一个超大质量黑洞(SMBH)加速一个组成部分超过银河系的逃逸速度(希尔斯机制)的潮汐破坏双星系统的结果。因为银河系中心有这样一个SMBH,所以它被认为是HVS的起源地。然而,SMBH范式最近受到了年轻的HVS HD 271791的挑战,因为它的运动学指向银河系圆盘贫金属边缘的诞生地。在这里,我们报告了HD271791的大气层确实显示出太阳下的铁丰度以及α元素的增强,这表明从超新星或更高能的超新星中捕获了核合成产物。这意味着HD 271791是在超新星爆炸中被破坏的大质量双星系统的幸存次级。迄今为止,还没有发现这样的逃逸恒星超过银河系的逃逸速度,因此HD 271791是第一颗超逃逸恒星。这种失控的情况是一种替代希尔斯机制的加速一些高速公路与中等速度。观测到的HD 271791的化学成分对来自超大质量恒星(M_ZAMS >= 55 M_Sun)的核心坍缩的超新星核合成提出了宝贵的观测限制,这可能被观测为长持续时间/软谱类型的伽马射线暴。

英文摘要:

Hyper-velocity stars (HVSs) were first predicted by theory to be the result of the tidal disruption of a binary system by a super-massive black hole (SMBH) that accelerates one component to beyond the Galactic escape velocity (the Hills mechanism). Because the Galactic centre hosts such a SMBH it is the suggested place of origin for HVSs. However, the SMBH paradigm has been challenged recently by the young HVS HD271791 because its kinematics point to a birthplace in the metal-poor rim of the Galactic disc. Here we report the atmosphere of HD271791 to indeed show a sub-solar iron abundance along with an enhancement of the alpha-elements, indicating capture of nucleosynthesis products from a supernova or a more energetic hypernova. This implies that HD271791 is the surviving secondary of a massive binary system disrupted in a supernova explosion. No such run-away star has ever been found to exceed the Galactic escape velocity, hence HD271791 is the first hyper-runaway star. Such a run-away scenario is an alternative to the Hills mechanism for the acceleration of some HVSs with moderate velocities. The observed chemical composition of HD271791 puts invaluable observational constraints on nucleosynthesis in a supernova from the core-collapse of a very massive star (M_ZAMS >= 55 M_Sun), which may be observed as a gamma-ray burst of the long-duration/soft-spectrum type.

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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