Speaker
Description
The study of galactic cosmic ray (GCR) variations and their connection to solar activity has been explored using various methods, such as cross-correlation analysis, which measures the synchronization between time series peaks, and power spectral density or wavelet analysis. Here, we investigate the potential of advanced signal processing techniques, specifically Empirical Mode Decomposition (EMD) and the Hilbert Transform (HT), which are more suitable for handling the non-linear and non-stationary nature of cosmic ray modulation. These methods allow for the study of phase coherence and provide a more refined approach to extracting key time-dependent features from cosmic ray observations and solar events across different energy, time, and frequency ranges. Using a multi-experiment dataset from ACE/CRIS, neutron monitors and the latest AMS-02 measurements, we examine the quasi-biennial oscillations in both cosmic ray measurements and solar proxies, as well as their energy-dependent delayed relation. In the same framework, we also explore the applicability of these techniques to time-lag studies between solar proxies and long-term cosmic ray variations, which are fundamental to GCR flux forecasting models aimed at improving radiation risk estimations in the upcoming era of human space exploration.
Furthermore, we assess the effectiveness of EMD-HT in a broader solar-terrestrial context, particularly for identifying features of solar-induced transient phenomena on Earth.
