Visualization of the extensive air shower and estimation of its parameters

• Autorzy: Malinowski J. , Śmiałkowska A.
• Języki publikacji: EN

Abstrakty

EN

In the process of cosmic ray penetrating the Earth's atmosphere new particles forming a cascade called the extensive air shower (EAS) are produced. The objective of our paper is to estimate chosen parameters and detailed visualization of the EAS based on the data received from simulations of physical processes describing this phenomenon. The simulation of the EAS is conducted using the CORSICA program. The tool presented in this paper allows estimating the altitude in the atmosphere where the EAS has the greatest number of particles, X__max, as well as the curvature radius of the produced particles on the front of the EAS, R__front. The estimated parameters serve as a basis for further physical analysis and the visualization can serve for physicists as a tool for presentation and popularization of the described phenomena. The presented paper has an interdisciplinary character combining physics with IT. The program developed here is a tool for research in physics, in this case for the analysis of cosmic ray.

Słowa kluczowe

EN

extensive air showers; EAS; CORSICA; simulation

• Wydawca: Wydawnictwo UMCS
• Czasopismo: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
• Rocznik: 2010
• Tom: Vol. 10, no. 1
• Strony: 87--92
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Malinowski J.

• Faculty of Physics and Applied Informatics, University of Lodz, ul. Pomorska 149/153, 90-236 Łódź, Poland

autor

Śmiałkowska A.

• Faculty of Physics and Applied Informatics, University of Lodz, ul. Pomorska 149/153, 90-236 Łódż, Poland

Bibliografia

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• [4] Yamamoto T. et al., Signatures of ultra-high energy cosmic ray composition from propagation of nuclei in intergalactic photon fields, Astropart. Phys. 20 (2004): 405–412, http://www-akeno.icrr.u-tokyo.ac.jp/AGASA/.
• [5] http://www.cosmic-ray.org/.
• [6] http://root.cern.ch.
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• [9] Gustek G., The possibility of using artificial neural networks for the estimation of mass composition of high-energy primary cosmic ray, MCS thesis, University of Łódź (unpublished, 2008, in Polish).