# Observation of large scale precursor correlations between cosmic rays and earthquakes

**Authors:** P. Homola, V. Marchenko, A. Napolitano, R. Damian, R. Guzik, D. Alvarez-Castillo, S. Stuglik, O. Ruimi, O. Skorenok, J. Zamora-Saa, J. M. Vaquero, T. Wibig, M. Knap, K. Dziadkowiec, M. Karpiel, O. Sushchov, J. W. Mietelski, K. Gorzkiewicz, N. Zabari, K. Almeida Cheminant  
**arXiv:** [2204.12310](https://arxiv.org/abs/2204.12310)  
**Date:** 2022-04-26  
**Summary page:** https://www.summarizepaper.com/en/paper/2204.12310v1/

## Key points

- Scientists have been researching early warning systems for earthquakes by studying correlations between cosmic ray detection rates and seismic activity.
- A recent study found a significant correlation between the average variation of cosmic ray detection rates and global seismic activity with a time lag of approximately two weeks.
- The correlation varied with a periodicity resembling the undecenal solar cycle, with a shift in phase of around three years.
- At local maxima, the correlation exceeded 6 sigma, indicating strong statistical significance.
- These precursor characteristics suggest that these correlations could be used to create an effective early warning system for earthquakes.
- The study involved collaboration among numerous authors from different institutions and disciplines, including data visualization experts and project administrators.
- All data used in this study are publicly available in cited databases.

## Summary

Scientists have long sought to develop early warning systems against earthquakes by investigating correlations between secondary cosmic ray detection rates and seismic activity. A recent study observed a significant correlation between the average variation of cosmic ray detection rates and global seismic activity with a time lag of approximately two weeks. This correlation was found to vary with a periodicity resembling the undecenal solar cycle, with a shift in phase of around three years. At local maxima, the correlation exceeded 6 sigma, indicating strong statistical significance. These precursor characteristics suggest that these correlations could be used to create an effective early warning system for earthquakes. The study was conducted through collaboration among numerous authors from different institutions and disciplines, including data visualization experts and project administrators. All data used in this study are publicly available in cited databases.