Vol. 4 (01) pp. 28-43

A Systematic Study of High Energy Nuclear Collisions (light and heavy nuclei) by Simulations / Event Generators

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  • Department of Physics, Faculty of Science, P. O. Box 741, University of Tabuk, Tabuk, 71491, Saudi Arabia.
  • Department of physics, Faculty of Education, Ain Shams University, Roxy, Cairo, Egypt.
  • Department of Physics, Faculty of Science, Alexandria University, Alexandria , Egypt.
  • Department of Physics, Aligarh Muslim University, Aligarh, 202002, India.
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Abstract

In the present article, we tried to draw some important features of the applicability test and the functioning effect of various nuclear models used in the relativistic nuclear collisions for hadrons-hadrons, hadron-nucleus and nucleus-nucleus interactions. The proposed models simulate the multiplicity distributions of the secondary charged particles produced in such collisions. The prediction capability of the artificial intelligence (AI) was checked by the experimental data which is not used in the simulation. Finally, it has been found that the artificial intelligence (AI) has the ability to simulate and predict the heavy ion collisions data.

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How to Cite This Article

M. Ayaz Ahmad, M. Yassen. El-Bakry, Taymour A. Hamdalla, Mir Hashim Rasool and Shafiq Ahmad (2016); A Systematic Study of High Energy Nuclear Collisions (light and heavy nuclei) by Simulations / Event Generators, Int. J. of Adv. Res., 4 (01), 28-43, ISSN 2320-5407.

Corresponding Author

Mohammad Ayaz Ahmad

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