Analysis of capability of detection of extensive airshowers by simple scintillator detectors

TL;DR

This paper develops a fast, parameterized method to estimate the detection probability of extensive air showers by simple scintillator detectors, aiding large-scale cosmic-ray ensemble studies.

Contribution

It introduces a novel parameterization approach for EAS detection probability, enabling efficient analysis without extensive simulations for diverse detector networks.

Findings

The method accurately estimates EAS detection probabilities.

It facilitates analysis of large detector networks with varied properties.

The approach supports the study of cosmic-ray ensembles.

Abstract

One of the main objectives of the CREDO project is to search for so-called Cosmic-Ray Ensembles (CRE) \cite{homola2020cosmic}. To confirm the existence of such phenomena a massive scale observation of even relatively low energy Extensive Air Showers (EAS) and an analysis of their correlations in time must be performed. To make such observations possible, an infrastructure of widely spread detectors connected in a global network should be developed using low-cost devices capable of collecting data for a long period of time. For each of these detectors or small detector systems the probability of detection of an EAS has to be determined. Such information is crucial in the analysis and interpretation of collected data. In the case of large number of systems with different properties the standard approach based on detailed and extensive simulations is not possible, thus a faster method is developed. Knowing the characteristics of EAS from more general simulations any required probability is calculated using appropriate parameterization taking into account EAS spectrum, energy dependence of particle density and zenith angle dependence. This allows to estimate expected number of EAS events measured by a set of small detectors \cite{Karbowiak_2020} and compare results of calculations with these measurements.