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Three-dimensional Inversion of Sound Speed below a Sunspot in the Born Approximation

机译:天生近似中黑子下方的声速三维反演

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We revise the inversion of acoustic travel times for the three-dimensional sound-speed structure below the solar NOAA Active Region 8243 of 1998 June. We benefit from recent progress in time-distance helioseismology that provides us with more reliable tools to infer subsurface solar properties. Among the improvements we implement here are the use of Born approximation-based travel-time sensitivity kernels that take into account finite-wavelength effects and thus are more accurate than the previously employed ray-path kernels, the inclusion of solar noise statistical properties in the inversion procedure through the noise covariance matrix, and the use of the actual variance of the noise in the temporal cross-covariances in the travel-time fitting procedure. Of these three improvements, the most significant is the application of the Born approximation to time-distance helioseismology. This puts the results of this discipline at the same level of confidence as those of global helioseismology based on inversion of normal-mode frequencies. Also, we compare inversion results based on ray-path and Born approximation kernels. We show that both approximations return a similar two-region structure for sunspots. However, the depth of inverted structures may be offset by 1 or 2 Mm, and the spatial resolution of the results is more accurately estimated with the more realistic Born sensitivity kernels. Finally, using artificial realizations of Doppler velocities of the quiet Sun, we are now able to estimate the statistical uncertainties of these inversion results.
机译:我们修改了1998年6月太阳NOAA活动区8243下的三维声速结构的声波传播时间反演。我们受益于时距螺旋地震学的最新进展,该进展为我们提供了更可靠的工具来推断地下太阳属性。我们在此处实现的改进包括使用基于Born近似的传播时间敏感度内核,该内核考虑了有限波长的影响,因此比以前使用的射线路径内核更准确,在其中包含了太阳噪声统计特性。通过噪声协方差矩阵进行反演过程,以及在行进时间拟合过程中在时间互协方差中使用噪声的实际方差。在这三个改进中,最重要的是将Born近似应用于时距螺旋地震学。这使该学科的结果与基于正模频率反演的全球螺旋地震学的结果具有相同的置信度。此外,我们比较了基于射线路径和Born近似内核的反演结果。我们表明,两种近似都可以为黑子返回相似的两区域结构。但是,倒置结构的深度可能会偏移1或2 Mm,并且使用更真实的Born敏感度内核可以更准确地估计结果的空间分辨率。最后,通过使用安静的太阳的多普勒速度的人工实现,我们现在能够估计这些反演结果的统计不确定性。

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