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A nonparametric approach for determination of energy spectrum and mass composition of cosmic rays from EAS observables

โœ Scribed by A.A. Chilingarian; M. Roth; A. Vardanyan


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
257 KB
Volume
75
Category
Article
ISSN
0920-5632

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โœฆ Synopsis


The experimental data provided by the KASCADE experiment are a basis for a multi-component analysis towards a determination of the mass composition and energy spectrum in the knee region. We discuss the method and procedures used for determining the energy and mass of the primary particle by applying neural networks and nonparametric classification and estimation methods, emphasising the neccessity of comparing alternative shower development models. Applying to measured KASCADE data first results of the differential energy flux and relative abundances of primary particles in cosmic rays are presented.


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