D 2022

Analysis of capability of detection of extensive air showers by simple scintillator detectors

PRYGA, Jerzy, Weronika STANEK, Piotr HOMOLA, Tadeusz WIBIG, Oleksandr SUSHCHOV et. al.

Basic information

Original name

Analysis of capability of detection of extensive air showers by simple scintillator detectors

Authors

PRYGA, Jerzy, Weronika STANEK, Piotr HOMOLA, Tadeusz WIBIG, Oleksandr SUSHCHOV, Peter KOVACS, Vahab NAZARI, Jilberto ZAMORA-SAA, Dmitriy BEZNOSKO, Mikhail V. MEDVEDEV, Jarosław STASIELAK, Bartosz ŁOZOWSKI, Nikolai BUDNEV, Alok C. GUPTA, Arman TURSUNOV (860 Uzbekistan, belonging to the institution), Karel SMOLEK, Bohdan HNATYK, David E. ALVAREZ CASTILLO, Katarzyna SMELCERZ, Alona MOZGOVA, Michał NIEDŹWIECKI, Marcin KASZTELAN, Matías ROSAS, Krzysztof RZECKI and Sławomir STUGLIK

Edition

Itálie, Proceedings of Science, p. "430-1"-"430-9", 9 pp. 2022

Publisher

Sissa Medialab Srl

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10308 Astronomy

Country of publisher

Italy

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

RIV identification code

RIV/47813059:19630/22:A0000249

Organization unit

Institute of physics in Opava

ISSN

Keywords in English

CREDO ;Detector;Extensive Air Showers;Low-cost devices; Lower energies; Probability of detection; Scintillator detector; Cosmic rays

Tags

Tags

International impact, Reviewed
Změněno: 16/2/2023 09:55, Mgr. Pavlína Jalůvková

Abstract

V originále

One of the main objectives of the CREDO project is to search for so-called Cosmic-Ray Ensembles (CRE) [1]. 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 [2] and compare results of calculations with these measurements.