Genetic programing modeling for nucleusnucleus collisions

El Sayed El-Dahshan, Amr Radi, Mahmoud Y. El-Bakry

Research output: Contribution to journalArticle

14 Citations (Scopus)

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 for 12C, 16O, 28Si and 32S on 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.

Original languageEnglish
Pages (from-to)1817-1825
Number of pages9
JournalInternational Journal of Modern Physics C
Volume20
Issue number11
DOIs
Publication statusPublished - Nov 2009

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Keywords

  • Genetic programing
  • Heavy ion collisions
  • High Energy Physics

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Theory and Mathematics
  • Physics and Astronomy(all)
  • Statistical and Nonlinear Physics
  • Mathematical Physics

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