中等质量恒星振荡中的二次频率色散

Subrata Kumar Panda, Shravan Hanasoge, Siddharth Dhanpal and Vageesh D. C.
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引用次数: 0

摘要

星震学是对恒星振动的研究,它取得了巨大成功,揭示了恒星内部结构、自转和磁性。以 δ Scutis 为代表的中质量主序振荡器经常表现出快速旋转,并具有复杂的内部分层,是小行星地震学研究的重要目标。斯库蒂δ脉冲是由κ(不透明)机制驱动的,从而产生了一系列声学模式,对其进行解释具有挑战性。在这里,我们应用机器学习来识别δ Scuti 星脉动频率的新模式,发现了根据整数模式指数的二次函数间隔的共振。模式频率与指数之间的这种不寻常联系表明,旋转影响可能在决定这些声学振荡频率方面起着重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quadratic Frequency Dispersion in the Oscillations of Intermediate-mass Stars
Asteroseismology, the study of stellar vibration, has met with great success, shedding light on stellar interior structure, rotation, and magnetism. Prominently known as δ Scutis, the intermediate-mass main-sequence oscillators that often exhibit rapid rotation and possess complex internal stratification are important targets of asteroseismic study. δ Scuti pulsations are driven by the κ (opacity) mechanism, resulting in a set of acoustic modes that can be challenging to interpret. Here, we apply machine learning to identify new patterns in the pulsation frequencies of δ Scuti stars, discovering resonances spaced according to quadratic functions of integer mode indices. This unusual connection between mode frequencies and indices suggests that rotational influence may play an important role in determining the frequencies of these acoustic oscillations.
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