Discovered function for positron collisions with alkali-metal atoms using genetic programming

Salah Yaseen El-Bakry*, Amr Radi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


Genetic programming (GP) has been used to discover the function that describes the collisions of positrons with sodium, potassium, rubidium and cesium atoms at low and intermediate energies. The GP has been running based on experimental data of the total collisional cross sections to produce the total cross sections for each target atom. The incident energy and the static dipole polarizability of the alkali target atom have been used as input variables to find the discovered function. The experimental, calculated and predicted total collisional cross sections are compared. The discovered function shows a good match to the experimental data. We find that the GP technique is able to improve upon more traditional methods. To our knowledge, this is the first application of the GP technique to the data of positron collisions with alkali atoms at low and intermediate energies.

Original languageEnglish
Pages (from-to)351-358
Number of pages8
JournalInternational Journal of Modern Physics C
Issue number3
Publication statusPublished - Mar 2007


  • Alkali-metal atoms
  • Genetic programming
  • Positron collisions
  • Total collisional cross sections

ASJC Scopus subject areas

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


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