论文标题

建模16 Cyg A和B的不确定性和偏见

Uncertainties and biases in modelling 16 Cyg A and B

论文作者

Bazot, M.

论文摘要

在这项研究中,我评估了太阳类似物16 CYG A和B的现有数据,尤其是从\ emph {kepler}获得的小型震中测量,限制了理论上的恒星模型。目标是两个方面:首先将这些恒星用作基准,以讨论在推断出的恒星数量上实际期望哪些精确度。其次要确定“非标准”处方(例如微观扩散和过冲)的好处。我使用贝叶斯统计模型来推断16 cyg a和B的恒星参数的值。即使对参数的不确定性的确切估计值存在一些差异,也发现了对这些恒星的一些最新建模研究的一般性一致性。估计二进制系统的$ 6.88 \ pm0.12 $ gyr。推断的质量,$ 1.07 \ pm0.02 $ m $ _ {\ odot} $用于cyg a和$ 1.05 \ pm0.02 $ m $ _ {\ odot} $对于Cyg b,被证明相对于用于模型的物理规定而言是稳定的。对于这两颗恒星,微观扩散都对初始金属性的估计有显着影响。超冲的局限于对流区以下非常小的区域。我表明,必须对地震限制进行适当的治疗,以避免质量估计中的偏见。

In this study I assess how existing data for the solar analogues 16 Cyg A and B, in particular the asteroseismic measurements obtained from \emph{Kepler}, constrain theoretical stellar models. The goal is two-fold: first to use these stars as benchmarks to discuss which precisions can realistically be expected on the inferred stellar quantities; and second to determine how well 'non-standard' prescriptions, such as microscopic diffusion and overshoot, are constrained. I used a Bayesian statistical model to infer the values of the stellar parameters of 16 Cyg A and B. I sampled the posterior density of the stellar parameters via a Markov chain Monte Carlo (MCMC) algorithm, tested different physical prescription, and examined the impact of using different seismic diagnostics. General good agreement is found with several recent modelling studies on these stars, even though some discrepancies subsist regarding the precise estimates of the uncertainties on the parameters. An age of $6.88\pm0.12$ Gyr is estimated for the binary system. The inferred masses, $1.07\pm0.02$ M$_{\odot}$ for Cyg A and $1.05\pm0.02$ M$_{\odot}$ for Cyg B, are shown to be stable with respect to changes in the physical prescriptions considered for the modelling. For both stars, microscopic diffusion has a significant effect on the estimates of the initial metallicity. Overshoot is confined to very small regions below the convective zone. I show that a proper treatment of the seismic constraints is necessary to avoid biases in the estimate of the mass.

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