A method to search for correlations of ultra-high energy cosmic ray masses with the large scale structures in the local galaxy density field
A.A. Ivanov

TL;DR
This paper introduces a novel non-parametric statistical method combining arrival direction analysis and EAS data to identify correlations between UHECR mass composition and large-scale cosmic structures, demonstrated on Yakutsk array data.
Contribution
It presents a new approach using the Wilcoxon signed-rank test to detect differences in cosmic ray mass composition based on arrival directions and EAS measurements.
Findings
Potential to distinguish mass composition differences from different sources.
Application to Yakutsk data shows feasibility of the method.
Method can identify correlations with large-scale structures.
Abstract
One of the main goals of investigations using present and future giant extensive air shower (EAS) arrays is the mass composition of ultra-high energy cosmic rays (UHECRs). A new approach to the problem is presented, combining analysis of arrival directions with the statistical test of the paired EAS samples. An idea of the method is to search for possible correlations of UHECR masses with their separate sources, for instance, if there are two sources in different areas of the celestial sphere injecting different nuclei, but fluxes are comparable so that arrival directions are isotropic, the aim is to reveal a difference in the mass composition of CR fluxes. The method is based on a non-parametric statistical test -- the Wilcoxon signed-rank routine -- which does not depend on the populations fitting any parameterized distributions. Two particular algorithms are proposed: first, using…
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