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arXiv 1602.06286astro-ph.SR
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图47中的约束白矮星结构和中微子物理

Constraining white dwarf structure and neutrino physics in 47 Tucanae

Ryan Goldsbury, Jeremy Heyl, Harvey Richer, Jason Kalirai, Pier-Emmanuel Tremblay

摘要:

我们提出了一个强大的统计分析的白矮星冷却序列在47图森。我们结合HST紫外和光学数据在集群的核心,恒星演化实验模块(MESA)白矮星冷却模型,白矮星大气模型,人造星测试,和马尔可夫链蒙特卡罗(MCMC)采样方法,以适应白矮星冷却模型,我们的数据直接。我们使用一种称为未分箱极大似然的技术来拟合这些模型,而无需分箱。我们利用这些数据来限制中微子的产生和这些白矮星中氢层的厚度。数据倾向于较厚的氢层$(q_\mathrm{H}=3.2\e{-5})$,我们可以强烈排除薄层$(q_\mathrm{H}=10^{-6})$。目前模型中的中微子速率与数据一致。这种分析并没有对中微子种类的数量提供限制。

英文摘要:

We present a robust statistical analysis of the white dwarf cooling sequence in 47 Tucanae. We combine HST UV and optical data in the core of the cluster, Modules for Experiments in Stellar Evolution (MESA) white dwarf cooling models, white dwarf atmosphere models, artificial star tests, and a Markov Chain Monte Carlo (MCMC) sampling method to fit white dwarf cooling models to our data directly. We use a technique known as the unbinned maximum likelihood to fit these models to our data without binning. We use these data to constrain neutrino production and the thickness of the hydrogen layer in these white dwarfs. The data prefer thicker hydrogen layers $(q_\mathrm{H}=3.2\e{-5})$ and we can strongly rule out thin layers $(q_\mathrm{H}=10^{-6})$. The neutrino rates currently in the models are consistent with the data. This analysis does not provide a constraint on the number of neutrino species.

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