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arXiv 2604.03082astro-ph.SR
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单星和多星OB型星的定量光谱学。非本地热力学平衡光谱分析与机器学习

Quantitative spectroscopy of single and multiple OB-type stars. Non-LTE spectrum analysis with machine learning

Universität Innsbruck（因斯布鲁克大学）

P. Aschenbrenner, N. Przybilla

备注：
19 pages, 9 figures, accepted for publication in A&A
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AI总结：

利用机器学习和非本地热力学平衡模型分析OB型星光谱，通过SATURN工具实现高效准确的光谱分析，验证了其在处理单星和双星系统中的有效性。

摘要：

天文档案中OB型星的光谱数量庞大，未来WEAVE和4MOST设施将提供更多数据，需要高效且准确的分析方法。神经网络被用于模拟单星和多星系统的光谱，训练基于混合非本地热力学平衡（非LTE）模型。通过马尔可夫链蒙特卡洛算法拟合高分辨率光谱，实现恒星大气参数和不确定性的确定。SATURN工具结合神经网络和拟合算法，可模拟O7至B9型星的合成光谱，与计算模型几乎一致。测试显示，SATURN在单星和双星系统中与文献数据一致，元素丰度不确定性通常小于0.10dex。

英文摘要：

The plethora of spectra of OB-type stars in observatory archives and the much larger numbers to come from the WEAVE and 4MOST spectroscopic facilities require efficient, but also accurate and precise methods for (semi)automatic quantitative analyses. Neural networks were used to emulate the spectra of single- and multi-star systems, trained on hybrid non-local thermodynamic equilibrium (non-LTE) models that cover a wide range of atmospheric parameters and chemical compositions. To derive the full set of stellar atmospheric parameters and uncertainties, a Markov chain Monte Carlo algorithm was implemented to fit high-resolution spectra within 3000A-10500A. The neural networks and fitting algorithm were bundled into a programme called Spectral Analysis Tool Using Restricted Neural networks (SATURN). In its current implementation, SATURN facilitates the emulation of synthetic spectra for spectral types O7 to B9, which differ only negligibly from computed models. SATURN was tested on a number of benchmark stars that have been studied before, including single OB stars and a detached eclipsing binary (DEB) system. Excellent agreement of atmospheric parameters and elemental abundances for up to ten metal species is found with respect to the data in the literature, often with reduced uncertainties. For DEB components, the uncertainties are larger, in particular for the fainter secondaries when only a single-epoch spectrum is considered. Uncertainties of elemental abundances are typically <0.10dex. Some first applications of SATURN for analyses of new targets are shown to demonstrate its capabilities, such as fast rotators, including HD149757 (Zeta Ophiuchi). Consistent results are also found at reduced spectral resolutions relevant for observations with WEAVE and 4MOST.

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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