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Genetic Programing Modeling For Nucleus–Nucleus Collisions

Author

Listed:
  • EL-SAYED El-DAHSHAN

    (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)

  • MAHMOUD Y. El-BAKRY

    (Department of Physics, Faculty of Education, Ain Shams University, Egypt)

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.

Suggested Citation

  • EL-SAYED El-DAHSHAN & AMR RADI & MAHMOUD Y. El-BAKRY, 2009. "Genetic Programing Modeling For Nucleus–Nucleus Collisions," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 20(11), pages 1817-1825.
    • Handle: RePEc:wsi:ijmpcx:v:20:y:2009:i:11:n:s0129183109014758
    DOI: 10.1142/S0129183109014758
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    2. -, 1991. "CCST work programme 1991-1992," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 27350, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    3. Porgo,Teegwende Valerie & Magazi,Ibrahim & Djallo,Ezechiel Abouro, 2023. "Prevalence of Catastrophic and Impoverishing Health Expenditures and Potential Protectionagainst Financial Risks through Subsidies in Guinea," Policy Research Working Paper Series 10353, The World Bank.
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