Cosmic-ray extremely distributed observatory: Status and perspectives

Dariusz Góra, Kevin Almeida Cheminant, David Alvarez-Castillo, Łukasz Bratek, Niraj Dhital, Alan R. Duffy, Piotr Homola, Pawel Jagoda, Joanna Jałocha, Marcin Kasztelan, Konrad Kopanski, Peter Kovacs, Vahab Nazari, Michal Niedzwiecki, Dominik Ostrogórski, Karel Smołek, Jaroslaw Stasielak, Oleksander Sushchov, Krzysztof W. Wozniak, Jilberto Zamora-Saa

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

The Cosmic-Ray Extremely Distributed Observatory (CREDO) is a project dedicated to global studies of extremely extended cosmic-ray phenomena, the cosmic-ray ensembles (CRE), beyond the capabilities of existing detectors and observatories. Up to date, cosmic-ray research has been focused on detecting single air showers, while the search for ensembles of cosmic-rays, which may overspread a significant fraction of the Earth, is a scientific terra incognita. Instead of developing and commissioning a completely new global detector infrastructure, CREDO proposes approaching the global cosmic-ray analysis objectives with all types of available detectors, from professional to pocket size, merged into a worldwide network. With such a network it is possible to search for evidences of correlated cosmic-ray ensembles. One of the observables that can be investigated in CREDO is a number of spatially isolated events collected in a small time window which could shed light on fundamental physics issues. The CREDO mission and strategy requires active engagement of a large number of participants, also non-experts, who will contribute to the project by using common electronic devices (e.g., smartphones). In this note, the status and perspectives of the project are presented.

Original languageEnglish
Article number111
JournalUniverse
Volume4
Issue number11
DOIs
Publication statusPublished - 1 Nov 2018

Keywords

  • Citizien science
  • Cosmic-rays
  • Extensive air showers

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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