Precision and systematic errors in global helioseismology mode fitting and inversions: Leveraging some 25 years of nearly uninterrupted observations
Precision and systematic errors in global helioseismology mode fitting and inversions: Leveraging some 25 years of nearly uninterrupted observations
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全球日震模式拟合和反演的精度和系统误差：利用约 25 年几乎不间断的观测
DOI：
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发表时间：
2023
影响因子：
3
通讯作者：
S. Korzennik
中科院分区：
文献类型：
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作者：
S. Korzennik
我们手头有大约 25 年几乎不间断的高质量和高频率的全球日震数据。全球振荡网络组 (GONG) 项目自 1995 年以来一直在生产科学质量数据，迈克尔逊多普勒成像仪 (MDI) 于 1996 年启动，日震和磁成像仪 (HMI) 于 2010 年接管。日震推断施加了根本性的新限制，但全球日震学数据处理对于其某些方法似乎有些冻结。我回顾并讨论了全球日震数据分析的一些具体方面，重点是模式拟合和反演技术带来的问题和挑战。我比较和对比不同拟合方法得出的结果，无论是使用不同的技术、不同的时间序列长度，还是不同的拟合参数，如泄漏矩阵或模态分布不对称性的包含或省略，从而得出我们目前对残余系统误差的最佳处理。
We have on hand some 25 years of nearly uninterrupted high-quality and high-cadence global helioseismic data. The Global Oscillations Network Group (GONG) project has been producing science quality data since 1995, the Michelson Doppler Imager (MDI) started in 1996, and the Helioseismic and Magnetic Imager (HMI) took over in 2010. Fundamental new constraints have been imposed by helioseismic inferences, yet global helioseismology data processing seems somewhat frozen in time for some of its methodologies. I review and discuss some specific aspects of global helioseismology data analysis, with an emphasis on the issues and challenges presented by mode fitting and inversion techniques. I compare and contrast results derived by different fitting methods, whether using different techniques, different lengths of time series, or different fitting parameters, like leakage matrices or the inclusion or omission of the mode profile asymmetry, leading to our current best handle on the residual systematic errors.