Application of a Neural Network and a Genetic Algorithm in the Analysis of Multi Particle Final States

Thomas F. Degener () and Marcel Kunze
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Thomas F. Degener: Fakultät für Physik und Astronomie, Lehrstuhl I für Experimentalphysik, Ruhr-Universität Bochum, Universitätsstr. 150, 44801 Bochum, Germany
Marcel Kunze: Fakultät für Physik und Astronomie, Lehrstuhl I für Experimentalphysik, Ruhr-Universität Bochum, Universitätsstr. 150, 44801 Bochum, Germany

International Journal of Modern Physics C (IJMPC), 1995, vol. 06, issue 04, 599-604

Abstract: The analysis of a particle physics experiment requires the correct selection of the desired multiplicity of charged (pions or kaons) and neutral (photons) particles. Due to fluctuations in hadronic and electromagnetic showers often too many photons are reconstructed by the analysis software. The combination of a feed forward neural network and a genetic algorithm is used to separate photons and fluctuations.

Date: 1995
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DOI: 10.1142/S0129183195000496

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