论文标题
大型恒星样品的下一代光谱分析
Next generation spectroscopic analysis for large samples of massive stars
论文作者
论文摘要
即将进行的大规模光谱调查（例如编织和4个）将提供数千个巨大的恒星光谱，需要以有效且均匀的方式进行分析。关于大型恒星的研究通常基于几百个物体的样品，这些样品将当前的光谱分析工具推向其极限，因为视觉检查是验证光谱拟合的必要条件。新型的光谱分析管道利用了大型样品提供的统计数据，并确定模型误差以说明由于简化，错误或缺失物理学而导致的恒星大气代码中的缺陷。考虑观察加上模型的不确定性可改善光谱拟合。管道利用了整个光谱，而不是选定的诊断线，从而可以分析从B到早期O恒星的温度范围更大。一小部分恒星（如特殊，受污染或光谱二进制物）需要视觉检查，这些恒星通过其较大的不确定性来识别。
Upcoming large-scale spectroscopic surveys such as WEAVE and 4MOST will provide thousands of spectra of massive stars, which need to be analysed in an efficient and homogeneous way. Studies on massive stars are usually based on samples of a few hundred objects which pushes current spectroscopic analysis tools to their limits because visual inspection is necessary to verify the spectroscopic fit. The novel spectroscopic analysis pipeline takes advantage of the statistics that large samples provide, and determines the model error to account for imperfections in stellar atmosphere codes due to simplified, wrong or missing physics. Considering observational plus model uncertainties improve spectroscopic fits. The pipeline utilises the entire spectrum rather than selected diagnostic lines allowing a wider range of temperature from B to early O stars to be analysed. A small fraction of stars like peculiar, contaminated or spectroscopic binaries require visual inspection, which are identified through their larger uncertainties.
