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Using limb darkening to measure fundamental parameters of stars

机译:使用肢体变暗来测量恒星的基本参数

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Context. Limb darkening is an important tool for understanding stellar atmospheres, but most observations measuring limb darkening assume various parameterizations that yield no significant information about the structure of stellar atmospheres. Aims. We use a specific limb-darkening relation to study how the best-fit coefficients relate to fundamental stellar parameters from spherically symmetric model stellar atmospheres. Methods. Using a grid of spherically symmetric ATLAS?model atmospheres, we compute limb-darkening coefficients, and develop a novel method to predict fundamental stellar parameters. Results. We find our proposed method predicts the mass of stellar atmosphere models given only the radius and limb-darkening coefficients, suggesting that microlensing, interferometric, transit and eclipse observations can constrain stellar masses. Conclusions. This novel method demonstrates that limb-darkening parameterizations contain important information about the structure of stellar atmospheres, with the potential to be a valuable tool for measuring stellar masses.
机译:上下文。肢体变黑是理解恒星大气的重要工具,但是大多数测量肢体变黑的观察都假设各种参数设置,这些参数化并不能提供有关恒星大气结构的重要信息。目的我们使用特定的肢体变暗关系来研究最佳拟合系数如何与球对称模型恒星大气中的基本恒星参数相关。方法。使用球形对称ATLAS模型大气的网格,我们计算肢体变暗系数,并开发了一种预测基本恒星参数的新方法。结果。我们发现我们提出的方法仅在半径和肢体变暗系数的情况下预测了恒星大气模型的质量,这表明微透镜,干涉测量,过渡和日食观测可以约束恒星质量。结论。这种新颖的方法表明,使边缘变暗的参数化包含有关恒星大气结构的重要信息,并有可能成为测量恒星质量的有价值的工具。

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