Summary Observation of large scale precursor correlations between cosmic rays and earthquakes arxiv.org
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A confidential manuscript uncovers a relationship between cosmic rays and earthquakes, involving authors from various institutions in Poland, Israel, Chile, and Spain.
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Key Points
- There is a correlation between cosmic rays and earthquakes.
- The study shows that the average variation of cosmic ray detection rates correlates with global seismic activity.
- The correlation has a time lag of approximately two weeks.
- The physical connection between cosmic rays and seismic activity is complex and uncertain.
- Data from multiple observation sites and sources show similar patterns and trends.
- The Auger observatory is particularly relevant in studying the correlation between cosmic rays and earthquakes.
- The analysis involves calculating the cross-correlation function and using Fourier coefficients to express the results.
- Significant cyclostationary features are found at a cycle frequency of 0.001279, corresponding to a period of 10.71 years.
Summaries
22 word summary
A confidential manuscript reveals a correlation between cosmic rays and earthquakes, involving authors from multiple institutions in Poland, Israel, Chile, and Spain.
44 word summary
A confidential manuscript has been submitted for the observation of large-scale precursor correlations between cosmic rays and earthquakes. The study involves multiple authors from institutions in Poland, Israel, Chile, and Spain. The study shows that there is a correlation between cosmic ray detection rates
423 word summary
Observation of large-scale precursor correlations between cosmic rays and earthquakes has been submitted as a confidential manuscript. The study involves multiple authors from various institutions in Poland, Israel, Chile, and Spain. The Institute of Nuclear Physics Polish Academy of Sciences in Krakow
This article presents the observation of large-scale precursor correlations between cosmic rays and earthquakes. The study shows that the average variation of cosmic ray detection rates correlates with global seismic activity, with a time lag of approximately two weeks. The significance of this correlation varies with
This study analyzes data sets on cosmic rays, earthquakes, and solar activity to investigate potential correlations between them. The researchers acknowledge the complexity of the physical connection between cosmic rays and seismic activity, as well as the uncertainty regarding the expected response of cosmic rays to
A study has found a correlation between cosmic rays and earthquakes, suggesting that variations in cosmic ray detection rates are related to seismic activity. The study analyzed data from three independent cosmic ray observation sites and found a significant correlation between cosmic ray data and global seismic activity
This summary discusses the correlation between cosmic rays and earthquakes. Several studies have been conducted to explore this relationship. One study in 2000 examined the ionospheric evidence of an earthquake in Concepcion. Another study in 2008 investigated the magnetic precursor
This summary is based on the text excerpted from the document "Observation of large scale precursor correlations between cosmic rays and earthquakes." The document references various sources, including a paper titled "Symmetry," a workshop on observatory synergies for astrop
The article discusses the analysis method used to study the correlations between cosmic ray rates and seismic effects. The data used in the study includes records from the Pierre Auger Observatory and the NMDB network. The data from both sources show similar trends and have been
The study analyzes the correlation between cosmic rays and earthquakes. The data from the Auger observatory, Moscow, and Oulu show similar patterns with periodicity and anticorrelation with sunspot numbers. The Auger observatory is especially relevant due to
The document discusses the observation of large-scale precursor correlations between cosmic rays and earthquakes. The cross-correlation function of the time-series data is calculated and expressed using Fourier coefficients. The measurement results are estimated over finite observation intervals, with missing values reconstructed by linear
Significant cyclostationary features are found at a cycle frequency of 0.001279, corresponding to a period of 10.71 years. The analysis shows statistical dependence or correlation between the analyzed signals. Validation with randomized data sets confirms the