Genetic programming for hadronic interactions at high energies

M. Y. El-Bakry; A. Radi

doi:10.1142/S0129183107010371

Genetic programming for hadronic interactions at high energies

M. Y. El-Bakry^*, A. Radi

^*Corresponding author for this work

Physics

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Genetic programming (GP) has been used to discover a function that describes pseudorapidity distribution of created pions from proton-proton (p-p) interactions at high and ultra-high energies. The predicted distributions from the GP-based model are compared with the experimental data. The discovered function of GP model has proven matching better for experimental data.

Original language	English
Pages (from-to)	329-334
Number of pages	6
Journal	International Journal of Modern Physics C
Volume	18
Issue number	3
DOIs	https://doi.org/10.1142/S0129183107010371
Publication status	Published - Mar 2007

Keywords

Genetic programming
Hadron-hadron interactions
Proton-proton interaction at high energies
Pseudo-rapidity distribution

ASJC Scopus subject areas

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

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abstract = "Genetic programming (GP) has been used to discover a function that describes pseudorapidity distribution of created pions from proton-proton (p-p) interactions at high and ultra-high energies. The predicted distributions from the GP-based model are compared with the experimental data. The discovered function of GP model has proven matching better for experimental data.",

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