An approach to explore exotic hadronic states in 24Mg-Ag/Br interactions at 4.5 A GeV/c in framework of complex network analysis

The visibility graph (VG) and horizontal visibility graph (HVG) have been recently introduced as a mapping between the time series and the complex networks. Here, the relativistic nucleus–nucleus interaction data, 24 Mg-Ag/Br at 4.5 A GeV/c are analyzed and used to characterizing the multifractal pr...

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Bibliographic Details
Published in:European physical journal plus 2021-01, Vol.136 (1), p.100
Main Authors: Ahmed, Azharuddin, Subba, Nirpat, Haldar, Prabir Kr, Tawfik, Abdel Nasser
Format: Article
Language:English
Subjects:
Algorithms
Applied and Technical Physics
Atomic
Brownian motion
Charged particles
Clustering
Complex Systems
Condensed Matter Physics
Critical phenomena
Fractals
Graphs
Mathematical and Computational Physics
Molecular
Network analysis
Optical and Plasma Physics
Parameters
Physics
Physics and Astronomy
Regular Article
Theoretical
Time series
Topology
Visibility
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Summary:The visibility graph (VG) and horizontal visibility graph (HVG) have been recently introduced as a mapping between the time series and the complex networks. Here, the relativistic nucleus–nucleus interaction data, 24 Mg-Ag/Br at 4.5 A GeV/c are analyzed and used to characterizing the multifractal properties by extending VG, HVG and the sandbox algorithm (SB). In this work, the HVG–SB techniques have been applied to confirm the scale-freeness and the presence of fractal properties in the process of multiplicity fluctuation. We try to find deterministic information by means of precise determination of topological parameter from a complex network perspective. We have analyzed the degree distributions which are associated with event-wise pseudorapidity distributions, typical of any multifractality measurement, different patterns of symmetry scaling, scale-freeness, correlation and clustering among the produced particles. We try to find deterministic information by means of precise determination of topological parameter from a complex network perspective. It has been also observed that the multifractal variables were derived by SB algorithm for the experimental data sets to some extent distinct from the respective Monte Carlo simulated results.
ISSN:2190-5444
DOI:10.1140/epjp/s13360-021-01078-8