GENETIC PROGRAMING MODELING FOR NUCLEUS–NUCLEUS COLLISIONS

El-DAHSHAN El-Sayed (), Amr Radi () and Y. El-BAKRY Mahmoud ()
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El-DAHSHAN El-Sayed: Department of Physics, Faculty of Sciences, Ain Shams University, Abbassia 11566, Cairo, Egypt
Amr Radi: Department of Physics, Faculty of Sciences, Ain Shams University, Abbassia 11566, Cairo, Egypt
Y. El-BAKRY Mahmoud: Department of Physics, Faculty of Education, Ain Shams University, Egypt

International Journal of Modern Physics C (IJMPC), 2009, vol. 20, issue 11, 1817-1825

Abstract: High Energy Physics (HEP), due to the vast and complex data expected from current and future experiments, is in need of powerful and efficient techniques for various analysis tasks. Genetic Programing (GP) is a powerful technique that can be used such complex tasks. In this paper, Genetic programing is used for modeling the functions that describe the pseudo-rapidity distribution of the shower particles for12C,16O,28Siand32Son nuclear emulsion and also to predict the distributions that are not present in the training set and matched them effectively. The proposed method shows a better fitting with experimental data. The GP prediction results prove a strong presence modeling in heavy ion collisions.

Keywords: Genetic programing; heavy ion collisions; High Energy Physics (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1142/S0129183109014758

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