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arXiv 0804.1447astro-ph
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太阳振荡的贝叶斯分析

Bayesian Analysis of Solar Oscillations

M. S. Marsh, J. Ireland, T. Kucera

摘要:

一个贝叶斯概率为基础的方法应用于探测和参数化的问题,在太阳上层大气的振荡的第一次。由于其统计起源,该方法提供了一种用于确定存在的振荡数量的机制,给出了具有自洽统计误差分析的振荡参数的精确估计,并且允许在这些误差内重建振荡模型信号。贝叶斯方法的一个非常理想的功能是能够解决极小频率间隔的振荡。该代码被应用到SOHO/CDS(太阳和日光层天文台/日冕诊断光谱仪)O V 629 A的观测和解决四个不同的P4,P5,P6和P7的p-模式在同一个太阳黑子过渡区。这表明光球p模的光谱能够传播到太阳和类太阳恒星的高层大气中,并对本影本征模的模型进行了精确的观测约束。

英文摘要:

A Bayesian probability based approach is applied to the problem of detecting and parameterizing oscillations in the upper solar atmosphere for the first time. Due to its statistical origin, this method provides a mechanism for determining the number of oscillations present, gives precise estimates of the oscillation parameters with a self-consistent statistical error analysis, and allows the oscillatory model signals to be reconstructed within these errors. A highly desirable feature of the Bayesian approach is the ability to resolve oscillations with extremely small frequency separations. The code is applied to SOHO/CDS (Solar and Heliospheric Observatory/Coronal Diagnostic Spectrometer) O V 629A observations and resolves four distinct P4, P5, P6 and P7 p-modes within the same sunspot transition region. This suggests that a spectrum of photospheric p-modes is able to propagate into the upper atmosphere of the Sun and Sun-like stars, and places precise observational constraints on models of umbral eigen modes.

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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