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arXiv 1607.05792astro-ph.IMastro-ph.EPastro-ph.SR
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ZASPE:一个从光谱测量恒星大气参数及其协方差的程序

ZASPE: A Code to Measure Stellar Atmospheric Parameters and their Covariance from Spectra

Rafael Brahm, Andres Jordan, Joel Hartman, Gaspar Bakos

摘要:

我们描述了带状大气恒星参数估计(ZASPE),一个新的算法,及其相关的代码,用于确定精确的恒星大气参数和它们的不确定性,从高分辨率阶梯光谱的FGK型恒星。ZASPE估计恒星大气参数的方法是将观测到的光谱与合成光谱网格进行比较,只在对大气参数变化最敏感的光谱区进行比较。考虑到观测光谱和最佳拟合合成光谱之间的系统失配,从数据本身计算参数的实际不确定性。在此过程中还估计了参数之间的协方差。ZASPE原则上可以使用任何预先计算的合成光谱网格。我们测试了两个现有库的性能(Coehelo等人,2005年,Husser等人,2013年),我们得出的结论是,这两个库都不适合计算精确的大气参数。我们描述了一个过程来合成一个新的库的合成光谱,发现产生一致的结果时,与不同的方法(干涉,asteroseismology,等效宽度)获得的参数相比。

英文摘要:

We describe the Zonal Atmospheric Stellar Parameters Estimator (ZASPE), a new algorithm, and its associated code, for determining precise stellar atmospheric parameters and their uncertainties from high resolution echelle spectra of FGK-type stars. ZASPE estimates stellar atmospheric parameters by comparing the observed spectrum against a grid of synthetic spectra only in the most sensitive spectral zones to changes in the atmospheric parameters. Realistic uncertainties in the parameters are computed from the data itself, by taking into account the systematic mismatches between the observed spectrum and the best-fit synthetic one. The covariances between the parameters are also estimated in the process. ZASPE can in principle use any pre-calculated grid of synthetic spectra. We tested the performance of two existing libraries (Coehelo et al. 2005, Husser et al. 2013) and we concluded that neither is suitable for computing precise atmospheric parameters. We describe a process to synthesise a new library of synthetic spectra that was found to generate consistent results when compared with parameters obtained with different methods (interferometry, asteroseismology, equivalent widths).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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