A remarkable chaotic analysis for coherence fraction order with its applications
Ghulam Bary,
Waqar Ahmed,
Muhammad Sajid,
Riaz Ahmad,
Nawa Alshammari and
Ilyas Khan
Chaos, Solitons & Fractals, 2022, vol. 154, issue C
Abstract:
Multi-particle quantum statistical correlations measured in the collisions of heavy nuclei at the unrivaled energies. Remarkable consequences have been observed and speculated that such significant repercussions may arise due to non-chaotic and granular nature particle emanated sources. To study such kind of chaotic fraction as well as the particles emission, we have demonstrated and analyzed the ejection of particles from the disseminated agglomeration of tiny droplets which produced quantum statistics multi-particle correlations which do not only reflect the size of the fluid droplets but also contribute the specific clues about the congenital properties of chaos-coherence matter produced during the collisions. Such correlations possess the existence of gesture of the mixed-phase of chaotic and coherent fractions in the considered collisions. The main object of this research is that we investigate the intrinsic properties of produced matter by intensity correlations to utilize it in engineering applications. The purpose of these findings is to analyze the meticulous correlations to expedite the nature of the particle ejecting sources and observe remarkable suppression in the cumulant correlations relative to the full three and four particles interferences in the granular nature sources.
Keywords: Femtoscopy; Chaos fraction; Granular source; Chaos correlators; Fluid characteristics (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077921009553
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:154:y:2022:i:c:s0960077921009553
DOI: 10.1016/j.chaos.2021.111601
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().