Extracting Hale Cycle Related Components from Cosmic-Ray Data Using Principal Component Analysis
Jouni J. Takalo

TL;DR
This study uses principal component analysis to decompose cosmic-ray data, revealing Hale cycle components and differences between even and odd solar cycles, with implications for understanding solar activity patterns.
Contribution
The paper introduces a PCA-based method to extract Hale cycle components from cosmic-ray data, highlighting their role in cycle intensity variations and differences between even and odd cycles.
Findings
PC1 explains ~75% of variance with a 10.95-year cycle.
PC2 reveals Hale cycle at 21.90 years and phase differences between cycles.
Odd cycles show slower intensity decrease, even cycles recover faster.
Abstract
We decompose the monthly cosmic-ray data, using several neutron monitor count rates, of Cycles 19-24 with principal component analysis (PCA). We show using different cycle limits that the first and second PC of cosmic-ray (CR) data explain 77-79% and 13-15% of the total variation of the Oulu CR Cycles 20-24 (C20- C24), 73-77% and 13-17% of the variation of Hermanus C20-C24, and 74-78% and 17-21% of the Climax C19-C22, respectively. The PC1 time series of the CR Cycles 19-24 has only one peak in its power spectrum at the period 10.95 years, which is the average solar cycle period for the interval SC19-SC24. The PC2 time series of the same cycles has a clear peak at period 21.90 (Hale cycle) and another peak at 1/3 of that period with no peak at the solar cycle period. We show that the PC2 of the CR is essential in explaining the differences in the intensities of the even and odd cycles…
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