论文标题
太阳活动代理的比较：特征向量与平均黑子数
Comparison of solar activity proxies: eigen vectors versus averaged sunspot numbers
论文作者
论文摘要
我们试图在摘要曲线或模量摘要曲线（MSC）之间建立链接，该曲线的太阳背景磁场（SBMF）从主成分分析中得出，平均黑子数（SSN）。 MSC与整个SSN的比较表明，周期12-24、6,7和-4，-3的循环时间，持续时间和最大时间的对应关系相当紧密。虽然，在1720-1760和1830-1860中，MSC和SSN曲线之间的最大循环，持续时间和最高时间的最大幅度存在差异。 MSC曲线揭示了具有双重最大值（周期1-4），周期为0和1的三重最大振幅分布以及在最小值之前的周期-1和-2的相当规则的循环。 1700-1750中的MSC循环显示，循环中的最大幅度比SSN的幅度较小，而周期1-4中的最大幅度较小，而周期-2至0的幅度较小，而循环-2至0的最大幅度与使用SSN的minima相反。 MSC或贝叶斯模型与黑子曲线的紧密拟合会扭曲Maunder Maunder最小值或/和现代大太阳能最小值（2020-2053）的发生。这些差异可能是由于较差的观察结果和负责这些代理的太阳磁场的差异引起的。从1650到2050年，大太阳周期（GSC）中环形和多型磁场的发电机模拟证明了它们在GSC期间其振幅变化之间的明显差异。 SBMF的特征向量的使用可以为从SSN得出的其他信息提供可用于理解太阳能活动的信息。
We attempt to establish links between a summary curve, or modulus summary curve, MSC, of the solar background magnetic field (SBMF) derived from Principal Component Analysis, with the averaged sunspot numbers (SSN). The comparison of MSC with the whole set of SSN reveals rather close correspondence of cycle timings, duration and maxima times for the cycles 12- 24, 6,7 and -4,-3. Although, in 1720-1760 and 1830-1860 there are discrepancies in maximum amplitudes of the cycles, durations and shifts of the maximum times between MSC and SSN curves. The MSC curve reveals pretty regular cycles with double maxima (cycles 1-4), triple maximum amplitude distributions for cycles 0 and 1 and for cycles -1 and -2 just before Maunder minimum. The MSC cycles in 1700-1750 reveal smaller maximal magnitudes in cycles -3 to 0 and in cycle 1-4 than the amplitudes of SSN, while cycles -2 to 0 have reversed maxima with minima with SSN. Close fitting of MSC or Bayesian models to the sunspot curve distorts the occurrences of either Maunder Minimum or/and modern grand solar minimum (2020-2053). These discrepancies can be caused by poor observations and by difference in solar magnetic fields responsible for these proxies. The dynamo simulations of toroidal and poloidal magnetic field in the grand solar cycle (GSC) from 1650 until 2050 demonstrate the clear differences between their amplitude variations during the GSC. The use of eigen vectors of SBMF can provide additional information to that derived from SSN that can be useful for understanding solar activity.
