Публікація: Some evidences of multiplicity fluctuations in relativistic nuclear collisions and Neural Networking (N-N) model
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Дата
2020
Назва журналу
ISSN журналу
Назва тома
Видавництво
Academia Publishing
Анотація
This study attempted to investigate some features of non-thermal phase transitions during the relativistic heavy ion collisions. The collisions that occurred were a beam of 28Si (projectile) hits the heterogeneous mixture of nuclear emulsion (fixed target) @ energy 14.6A GeV and we recorded 951 events of relativistic nuclear collisions. Thereafter, for the final statistical study, we made three different groups of data sets such as 28Si+CNO, 28Si+Emulsion and 28Si+AgBr. The results of the experiment was compared with neural network (N-N) model and a good agreement found between the theory and experiment of relativistic heavy ion collisions.
Опис
Ключові слова
Intermittency, Scaled Factorial Moments
Бібліографічний опис
Some evidences of multiplicity fluctuations in relativistic nuclear collisions and Neural Networking (N-N) model / M. A. Ahmad, A. D C. Victoria, J. H. Baker, V. Lyashenko // Academia Journal of Scientific Research. – 2020. – Vol. 8(12). – pp. 383-386.