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arXiv 0708.3703astro-ph
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测试DB白矮星GD 358的演化:使用星震学新方法的第一批结果

Testing the evolution of the DB white dwarf GD 358: First results of a new approach using asteroseismology

J. M. Gonzalez Perez, T. S. Metcalfe

摘要:

我们提出了一种新的方法,调查的脉动DB白矮星GD 358的演化历史,使用星震学。这是考虑到内部的C/O分布,它描述了从恒星核心到其表面的碳和氧的相对丰度。不同的演化通道导致不同的C/O剖面的产生,从而影响脉动周期。我们使用的C/O配置文件与白矮星,通过双进化通道,其中的祖先经历了一个或两个事件的质量损失在一个或两个共同的信封(CE)阶段,和两个配置文件从单星演化。我们使用这些不同的配置文件计算模型,并使用遗传算法(GA)优化搜索参数空间,以找到最适合所观察到的脉动周期。我们使用三参数模型,调整恒星质量,有效温度和外层的氦质量。我们的研究结果表明,二进制的演变配置文件可能会提供一个更好的匹配GD 358的脉动周期。最适合的观察是使用的配置文件相关的进化历史中发生的两个事件的质量损失在两个CE阶段。最佳拟合模型的质量接近于各种研究中发现的DB白矮星的平均质量,温度与IUE卫星获得的紫外光谱一致。

英文摘要:

We present a new method that investigates the evolutionary history of the pulsating DB white dwarf GD358 using asteroseismology. This is done considering the internal C/O profile, which describes the relative abundances of carbon and oxygen from the core of the star to its surface. Different evolutionary channels lead to the generation of different C/O profiles, and these affect the pulsation periods. We used C/O profiles associated with white dwarfs that evolved through binary evolution channels where the progenitor experienced one or two episodes of mass loss during one or two common envelope (CE) phases, and two profiles from single star evolution. We computed models using these different profiles and used a genetic algorithm (GA) to optimize the search in the parameter space in order to find the best-fit to the observed pulsation periods. We used three-parameter models, adjusting the stellar mass, the effective temperature, and the helium mass of the external layer. Our results suggest that binary evolution profiles may provide a better match to the pulsation periods of GD 358. The best-fit to the observations is obtained using a profile related to an evolutionary history where two episodes of mass loss happen during two CE phases. The best-fit model has a mass close to the mean mass for DB white dwarfs found in various works, and a temperature consistent with UV spectra obtained with the IUE satellite.

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