Title: A new method for an objective, $χ^2$-based spectroscopic analysis of early-type stars Show Chinese title

Title: 一种基于$χ^2$的早期型恒星光谱客观分析的新方法

Abstract: A precise quantitative spectral analysis - encompassing atmospheric parameter and chemical elemental abundance determination - is time consuming due to its iterative nature and the multi-parameter space to be explored, especially when done "by eye". A robust automated fitting technique that is as trustworthy as traditional methods would allow for large samples of stars to be analyzed in a consistent manner in reasonable time. We present a semi-automated quantitative spectral analysis technique for early-type stars based on the concept of $\chi^2$ minimization. The method's main features are: far less subjective than typical "by eye" methods, correction for inaccurate continuum normalization, consideration of the whole useful spectral range, simultaneous sampling of the entire multi-parameter space (effective temperature, surface gravity, microturbulence, macroturbulence, projected rotational velocity, radial velocity, elemental abundances) to find the global best solution, applicable also to composite spectra. The method is fast, robust and reliable as seen from formal tests and from a comparison with previous analyses. Consistent quantitative spectral analyses of large samples of early-type stars can be performed quickly with very high accuracy. Show Chinese abstract

Abstract: 一种精确的定量光谱分析——包括大气参数和化学元素丰度的确定——由于其迭代性质以及需要探索的多参数空间，耗时较长，尤其是通过人工目视完成时。 一种像传统方法一样可靠的自动化拟合技术将允许以合理的时间对大量恒星样本进行一致的分析。 我们提出了一种基于$\chi^2$最小化概念的早型星半自动定量光谱分析技术。 该方法的主要特征是：比典型的“人工”方法主观性大大降低，对不准确的连续统归一化进行校正，考虑整个有用的光谱范围，同时对整个多参数空间（有效温度、表面重力、微湍流、宏观湍流、投影自转速度、径向速度、元素丰度）进行采样以找到全局最佳解，也可应用于复合光谱。 从形式测试和与先前分析的比较来看，该方法快速、稳健且可靠。 可以快速对大量早型星进行非常精确的一致定量光谱分析。