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

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

Mar 1999

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999nuphs..75..302c&link_type=abstract

Nuclear Physics B Proceedings Supplements, Volume 75, Issue 1-2, p. 302-304.

Physics

Nuclear Physics

1

Scientific paper

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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