1. An approach to complex network analysis on pp collisions at LHC energies.
- Author
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Ahmed, Azharuddin, Biswas, Tumpa, Subba, Nirpat, Paul, Subhadeep, Tawfik, Abdel Nasser, Kalam, Mehedi, Ghosh, Dipak, and Haldar, Prabir Kr.
- Subjects
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PHENOMENOLOGICAL theory (Physics) , *PARTICLE physics , *PARTICLE interactions , *TIME measurements , *TIME series analysis - Abstract
We have introduced the complex network analysis techniques such as Visibility Graph (VG), Horizontal Visibility Graph (HVG) and Sandbox (SB) algorithm as a mapping between complex network and time series measurements. This study explores the application of complex network-based analysis techniques to proton–proton (p p) collisions data at s = 1 3 , 7, 5.02 and 2.76 TeV to unravel the underlying dynamics of the particles and their interactions. To ensure the robustness and comprehensive analysis, we have incorporated UrQMD-, PYTHIA- and AMPT-simulated data sets of p p interactions at LHC energies that enable a thorough investigation of the underlying phenomena of the interactions. We have analyzed the fluctuations in pseudorapidity densities of singly charged particles created in p p interactions at LHC energies. We have also investigated some properties like symmetry scaling, correlation, clustering and scale-freeness among the produced particles. The findings from this study contribute to our understanding of the complex dynamics within p p collisions and have implications for the field of high-energy physics and particle phenomenology. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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