Some evidences of multiplicity fluctuations in relativistic nuclear collisions and Neural Networking (N-N) model

Ahmad, M. Ayaz; Victoria, Anghel Drugarin C.; Baker, Jalal H.; Lyashenko, V.

Публікація:
Some evidences of multiplicity fluctuations in relativistic nuclear collisions and Neural Networking (N-N) model

dc.contributor.author	Ahmad, M. Ayaz
dc.contributor.author	Victoria, Anghel Drugarin C.
dc.contributor.author	Baker, Jalal H.
dc.contributor.author	Lyashenko, V.
dc.date.accessioned	2021-09-25T16:17:28Z
dc.date.available	2021-09-25T16:17:28Z
dc.date.issued	2020
dc.description.abstract	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.	uk_UA
dc.identifier.citation	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.	uk_UA
dc.identifier.issn	2315-7712
dc.identifier.uri	https://openarchive.nure.ua/handle/document/17679
dc.language.iso	en	uk_UA
dc.publisher	Academia Publishing	uk_UA
dc.subject	Intermittency	uk_UA
dc.subject	Scaled Factorial Moments	uk_UA
dc.title	Some evidences of multiplicity fluctuations in relativistic nuclear collisions and Neural Networking (N-N) model	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication