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
Ahmad M. A., Victoria A. D C., Baker J. H., Lyashenko V. Some evidences of multiplicity fluctuations in relativistic nuclear collisions and Neural Networking (N-N) model // Academia Journal of Scientific Research. – 2020. – Vol. 8(12). – pp. 383-386.