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The Wings of Ca ii H and K as Photospheric Diagnostics and the Reliability of One-Dimensional Photosphere Modeling

机译:Ca ii H和K的翅膀作为光球诊断和一维光球建模的可靠性

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The extended wings of the Ca ii H and K lines provide excellent diagnostics of the temperature stratification of the photosphere of the Sun and of other cool stars, thanks to their LTE opacities and source functions and their large span in formation height. The aim of this study is to calibrate the usage of the H and K wings in a one-dimensional interpretation of spatially averaged spectra and in deriving per-pixel stratifications from resolved spectra. I use multi-dimensional simulations of solar convection to synthesize the H and K wings, derive one-dimensional models from these wings as if they were observed, and compare the resulting models to the actual simulation input. I find that spatially averaged models constructed from the synthesized wings generally match the simulation averages well, except for the deepest layers of the photosphere where large thermal inhomogeneities and Planck-function non-linearity gives large errors. The larger the inhomogeneity, the larger the error. The presence of strong network fields increases such inhomogeneity. For quiet photospheric conditions the temperature excesses reach about 200 K. One-dimensional stratification fits of discrete structures such as granulation and small-scale magnetic concentrations give satisfactory results with errors that are primarily due to steep temperature gradients and abrupt changes of temperature with depth. I conclude that stratification modeling using the H and K wings is a useful technique for the interpretation of solar high-resolution observations.
机译:Ca ii H和K线的延伸翼提供了出色的诊断,可以诊断太阳和其他凉爽恒星的光层的温度分层,这要归功于它们的LTE不透明性和源功能以及形成高度的大范围。这项研究的目的是校准H和K机翼在空间平均光谱的一维解释中以及从解析的光谱中得出每个像素分层时的用法。我使用太阳对流的多维模拟来合成H和K机翼,仿佛观察到的那样从这些机翼导出一维模型,并将所得模型与实际的模拟输入进行比较。我发现,由合成机翼构建的空间平均模型通常与模拟平均值匹配得很好,除了光球的最深层外,其中较大的热不均匀性和普朗克函数非线性会产生较大的误差。不均匀性越大,误差越大。强网络字段的存在增加了这种不均匀性。在安静的光球条件下,温度超过200K。离散结构的一维分层拟合(例如颗粒化和小规模的磁性浓缩)给出令人满意的结果,其误差主要是由于陡峭的温度梯度和温度随深度的突然变化而引起的。我得出结论,使用H和K机翼进行分层建模是解释太阳高分辨率观测的有用技术。

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