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T: Fachverband Teilchenphysik

T 81: Kosmische Strahlung I

T 81.1: Vortrag

Montag, 3. März 2008, 16:45–17:00, KGI-HS 1199

kNN Method on KASCADE-Grande Data — •Fabiana Cossavella for the KASCADE-Grande collaboration — Universität Karlsruhe, Institut für Experimentelle Kernphysik, 76021 Karlsruhe

KASCADE-Grande, located at Forschungszentrum Karlsruhe, is a multi-detector experiment for the measurement of extensive air showers induced by primary cosmic rays in the energy range of 10¹⁴ − 10¹⁸ eV.

The “k-Nearest Neighbours” (KNN) method is a classification procedure applied for a preliminary study of the cosmic ray composition in this energy range. Simulations of different primary particles are used as reference samples. In order to find for each real event the k Nearest Neighbours in the reference sample, the Mahalanobis distance in the space defined by the muon size, the shower size and age (obtained from the NKG fit of the lateral distribution of the charged particles) is calculated. The probability of the event to be part of one of the simulated primary groups is the percentage of the k neighbours belonging to it.

Preliminary results of the application of this technique to KASCADE-Grande data with respect to simulated samples are reported.