Parametric analysis of Cherenkov light LDF from EAS in the range 30–3000 TeV for primary gamma rays and nuclei
- Authors: Korosteleva E.E.1, Sveshnikova L.G.1, Motaweh H.A.2, Elshoukrofy A.S.1,2, Postnikov E.B.1
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Affiliations:
- Skobeltsyn Institute of Nuclear Physics
- Faculty of Science
- Issue: Vol 81, No 4 (2017)
- Pages: 453-456
- Section: Proceedings of the 34th National Conference on Cosmic Rays
- URL: https://journals.rcsi.science/1062-8738/article/view/185040
- DOI: https://doi.org/10.3103/S1062873817040177
- ID: 185040
Cite item
Abstract
A simple “knee-like” approximation of the Lateral Distribution Function (LDF) of Cherenkov light emitted by EAS (extensive air showers) in the atmosphere is proposed for solving various tasks of data analysis in HiSCORE and other wide angle ground-based experiments designed to detect gamma rays and cosmic rays with the energy above tens of TeV. Simulation-based parametric analysis of individual LDF curves revealed that on the radial distance 20−500 m the 5-parameter “knee-like” approximation fits individual LDFs as well as a mean LDF with a very good accuracy. In this paper we demonstrate the efficiency and flexibility of the “knee-like” LDF approximation for various primary particles and shower parameters and the advantages of its application to suppressing proton background and selecting primary gamma rays.
About the authors
E. E. Korosteleva
Skobeltsyn Institute of Nuclear Physics
Email: abeershehatamahmoud@yahoo.com
Russian Federation, Moscow, 119991
L. G. Sveshnikova
Skobeltsyn Institute of Nuclear Physics
Email: abeershehatamahmoud@yahoo.com
Russian Federation, Moscow, 119991
H. A. Motaweh
Faculty of Science
Email: abeershehatamahmoud@yahoo.com
Egypt, Damanhour
A. Sh. M. Elshoukrofy
Skobeltsyn Institute of Nuclear Physics; Faculty of Science
Author for correspondence.
Email: abeershehatamahmoud@yahoo.com
Russian Federation, Moscow, 119991; Damanhour
E. B. Postnikov
Skobeltsyn Institute of Nuclear Physics
Email: abeershehatamahmoud@yahoo.com
Russian Federation, Moscow, 119991
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