论文标题

从星际表面校正的HR图横跨HR图的差异建模系统学

Differential Modelling Systematics across the HR Diagram from Asteroseismic Surface Corrections

论文作者

Ong, J. M. Joel, Basu, Sarbani, McKeever, Jean M.

论文摘要

进化恒星模型的近表面层中的局部建模误差会导致其正常振荡模式的频率与与实际恒星的内部结构不同。这些频率差异称为纯种震中表面项。通过对单个模式频率的详细约束估算的全局恒星特性,先前已证明相对于该表面项的不同参数化是可靠的。还有人建议,对一类更广泛的非参数治疗可能是正确的。我们研究了相对于不同的表面处理的推断恒星特性的系统差异,包括统计上较大的主要序列恒星样本以及红色巨人样本,以前没有进行过这种表征。对于主要序列恒星,我们证明虽然质量和半径及其年龄确实是对表面项的选择确实很强的,但推断的初始氦气丰度$ y_0 $对表面校正的选择敏感。这意味着从详细的星空学回来的氦气估计值是方法论依赖性的。另一方面,对于我们的红色巨型样品,非参数表面校正返回明显不同的恒星特性。这些差异的性质表明,对于进化的恒星,应优选这种非参数方法。应在较大的样本上进行验证。

Localised modelling error in the near-surface layers of evolutionary stellar models causes the frequencies of their normal modes of oscillation to differ from those of actual stars with matching interior structures. These frequency differences are referred to as the asteroseismic surface term. Global stellar properties estimated via detailed constraints on individual mode frequencies have previously been shown to be robust with respect to different parameterisations of this surface term. It has also been suggested that this may be true of a broader class of nonparametric treatments. We examine systematic differences in inferred stellar properties with respect to different surface-term treatments, both for a statistically large sample of main-sequence stars, as well as for a sample of red giants, for which no such characterisation has previously been done. For main-sequence stars, we demonstrate that while masses and radii, and hence ages, are indeed robust to the choice of surface term, the inferred initial helium abundance $Y_0$ is sensitive to the choice of surface correction. This implies that helium-abundance estimates returned from detailed asteroseismology are methodology-dependent. On the other hand, for our red giant sample, nonparametric surface corrections return dramatically different inferred stellar properties than parametric ones. The nature of these differences suggests that such nonparametric methods should be preferred for evolved stars; this should be verified on a larger sample.

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