Global Journal of Artificial Intelligence and Technology Development

Vol. 2 No. 1 (2024)
Articles

EXPLORATION OF GLAUBER MODEL AS ARTIFICIAL INTELLIGENCE METHOD OF DETERMINING THE FRAGMENTAL MOMENTUM DISTRIBUTION OF SOME RADIOACTIVE NUCLEI (23O)

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  • Idris Sani Salisu
Idris Sani Salisu
Department of Science Laboratory Technology, School of Technology, Kano state Polytechnic, Kano, Nigeria.  idrissalisu@kanopoly.edu.ng

Published 2024-01-04

Keywords

  • Glauber model,
  • One-neutron halo,
  • Momentum distribution

How to Cite

Idris Sani Salisu. (2024). EXPLORATION OF GLAUBER MODEL AS ARTIFICIAL INTELLIGENCE METHOD OF DETERMINING THE FRAGMENTAL MOMENTUM DISTRIBUTION OF SOME RADIOACTIVE NUCLEI (23O). Global Journal of Artificial Intelligence and Technology Development , 2(1), 1-8. https://www.openjournals.ijaar.org/index.php/gjaitd/article/view/351

Copyright (c) 2024 Global Journal of Artificial Intelligence and Technology Development

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

Idris Sani Salisu. (2024). EXPLORATION OF GLAUBER MODEL AS ARTIFICIAL INTELLIGENCE METHOD OF DETERMINING THE FRAGMENTAL MOMENTUM DISTRIBUTION OF SOME RADIOACTIVE NUCLEI (23O). Global Journal of Artificial Intelligence and Technology Development , 2(1), 1-8. https://www.openjournals.ijaar.org/index.php/gjaitd/article/view/351

Abstract

The fragmental momentum distributions of 22O core fragment from 23O + 12C reaction system was computed in the Artificial Intelligence framework of Glauber model using the CSC_GM program code, which provides in the first order the internal momentum distributions of the removed neutron. This CSC_GM code is a Fortran 90 program and it was modified in order to run on Linux operating system. The projectile radioactive nucleus was assumed to have the structure of a core plus a valence neutron. The result was found to agree with the experimental data, and it showed that 23O exhibits a one neutron halo structure.

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