AI 中文总结
研究利用统计工具分析太阳动力学天文台数据，确定光球层磁通量分布及太阳周期变化，发现双幂律能最佳拟合数据，给出幂律指数与太阳周期相位的依赖关系，探讨其对太阳磁场产生的潜在影响。
AI 中文摘要
我们使用统计工具分析太阳动力学天文台日震和磁成像仪的数据，以确定光球层磁特征的磁通量分布及其在整个太阳周期中的变化。具体而言，我们用统计品质因数来测试不同类型的概率密度函数对数据推断出的磁通量分布的拟合程度，以及其形状在太阳周期中的变化。分析表明双幂律能最佳表示整个太阳周期的数据，我们给出了幂律指数对太阳周期相位的依赖性。太阳周期不同时间观测到的通量分布性质很重要，因为可用于推断太阳磁场产生机制的信息。我们讨论了双幂律分布对太阳磁场产生的潜在影响。
英文摘要
We use statistical tools to analyse data from the Solar Dynamics Observatory Helioseismic and Magnetic Imager to determine the distribution of the magnetic flux of photospheric magnetic features and its variation over a full solar cycle. In particular, we use statistical figures of merit to test how well different types of probability density function represent the magnetic flux distribution inferred from the data and how their shape changes over the solar cycle. Our analysis shows that a double power law provides the best representation of the data over the full solar cycle and we present the dependence of the power law exponents on the phase of the solar cycle. The nature of the observed flux distributions at different times during the solar cycle is significant because it could be used to try and infer information about solar magnetic field generation mechanisms. We discuss potential implications of a double power law distribution for solar magnetic field generation.
Comments26 pages, 10 figures, accepted for publication by Solar Physics
