Self-similarity of strangeness production in pp collisions at RHIC

Tokarev, M.; Zborovský, I.

doi:10.1088/1742-6596/668/1/012087

Cited by 8 publications

(6 citation statements)

References 17 publications

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“…The methods of identifying exotic resonance/hadronic states is based on self-similarity of symmetry-scaling and estimation of clustering coefficients. As mentioned earlier the concept of self-similarity in the context of high energy interaction has been applied in cases like strangeness production in pp collisions [13], Top-quark production [12], proton spin and asymmetry of jet production [14] etc. In the similar perspective we attempt to explore the possibility of identifying exotic resonance/hadronic states in p-p collision and Pb-Pb collision in recent LHC experiments.…”

Section: Objective Of the Experimentsmentioning

confidence: 99%

“…A number of multifractal analysis of particle production processes has been also reported in the recent times [8,9,10,11]. At the same time self-similarity has been studied in different works of particle physics, e.g, in the process of Jet and Top-quark production at TEVATRON and LHC [12], strangeness production in pp collisions at RHIC [13], proton spin and asymmetry of jet production [14], for describing collective phenomena [15] and also in the application of self-similar symmetry model to dark energy [16].…”

Section: Introductionmentioning

confidence: 99%

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Symmetry-Scaling Based Complex Network Approach to Explore Exotic Hadronic States in High-Energy Collision

Bhaduri

Ghosh

2019

Phys. Part. Nuclei Lett.

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Conventionally invariant mass or transverse momentum techniques have been used to probe for any formation of some exotic or unusual resonance states in high energy collision. In this work, we have applied symmetry scaling based complex network approach to study exotic resonance/hadronic states utilizing the clustering coefficients and associated scaling parameter extracted with the complex network based technique of Visibility Graph. We have analyzed the data of Pb-Pb collision data sample at 2.76T eV from ALICE Collaboration and analyzed different patterns of symmetry scaling, scale-freeness, correlation and clustering among the produced particles. This is a chaos-based complex network technique where simple parameters like Average Clustering Coefficient and Power of Scale-freeness of Visibility Graph(PSVG) may hint at formation of some exotic or unusual resonance states without using conventional methods. From this experiment we may infer that highest range of Average clustering coefficient, might be the resonance states/clusters from where the hadronic decay might have occurred and few clusters with highest value of this parameter may indicate that those clusters may be the ancestors of some strange particles. There have also been extensive study of dilepton production since the study of lepton pair generation in Drell-Yan processes is immensely important as these processes enable us to validate the Standard Model-SM predictions for the fundamental particles interaction at the new energy region and also to probe for new physics beyond SM. Hence we have applied the same methodology and extracted the same parameters for p-p collision data at 8TeV from CMS, to detect possible resonance states eventually generating lepton pairs.

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Section: Objective Of the Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Symmetry-Scaling Based Complex Network Approach to Explore Exotic Hadronic States in High-Energy Collision

Bhaduri

Ghosh

2019

Phys. Part. Nuclei Lett.

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“…Ref. [7,15]. The solid line is a reference curve corresponding to π − -meson production in pp collisions.…”

Section: Flavor Independence Of ψ(Z)mentioning

confidence: 99%

Top-Quarkp_T-Spectra at LHC and Flavor Independence ofz-Scaling

Tokarev

Zborovský

2017

EPJ Web Conf.

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Abstract.New results of analysis of top-quark differential cross sections obtained by the CMS and ATLAS Collaborations in pp collisions at the LHC in the framework of zscaling approach are presented. The spectra are measured over a wide range of collision energy √ s = 7, 8, 13 TeV and transverse momentum p T = 30 − 1000 GeV/c of top-quark using leptonic and jet decay modes. The LHC data on transverse momentum of the topquark spectra are compared with the Tevatron data obtained by the D∅ Collaboration in pp collisions at √ s = 1.96 GeV. Flavour independence of the scaling function ψ(z) in pp and pp interactions over a wide collision energy range √ s = 19 − 13000 GeV is verified. This property of ψ(z) was found for different hadrons from π-meson up to Υ particle. The flavour independence of ψ(z) is used as indication on self-similarity of topquark production. A tendency to saturation of ψ(z) at low z for top-quark is demonstrated. We anticipate that data on low-and high-p T inclusive spectra of top-quark production at LHC energies could be of interest for verification of the self-similarity over a wide range of masses and different flavour content of produced particles.

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“…In the recent years, various studies based on the multi-fractal properties of the process of particle production had been reported [50][51][52][53]. In a number of recent works, self-similarity had been probed in the field of particle physics, like-in the Jet and Top-quark generation process at the experiments of Tevatron and LHC [54], in the process of strangeness production in pp collisions at the experiments of Relativistic Heavy Ion Collider (RHIC) [55], in the proton spin phenomena and asymmetry of jet production process [56] to explain the collective phenomena [57] and in the implementation of the concept of self-similar symmetry of dark energy [58]. In a latest work [59], the fluctuation pattern inherent in the dynamics of particle production process in high energy collision has been analyzed using the MF-DFA method and also MF-DXA analysis using the pseudorapidity values of di-muon data extracted from the pp collision at 7 TeV and 8 TeV, respectively by CMS Collaboration [60,61].…”

Section: Introductionmentioning

confidence: 99%

Searching for Supersymmetry at LHC Using the Complex-Network-Based Method of the Three-Dimensional Visibility-Graph

Bhaduri¹,

Bhaduri²

2020

Physics

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For the last several decades, there has been tremendous interest in search for Supersymmetry (SUSY) in the area of high energy physics. At Large Hadron Collider (LHC), there have been continuous searches for SUSY for prompt and non-prompt, for particle R-parity conserving and R-parity violating generation and decays. The limits obtained from these experiments and analyses for detection of the signatures of supersymmetric particles (LSP), revealed greater possibilities of such experiments in the collider. However, these signatures are usually derived under the assumption of bit optimistic conditions of the decaying process of sparticles to the final states. Moreover, SUSY might have been in a disguised state at lower mass-scales as a result of difficult and challenging mass spectra and mixed modes of decays. In this investigation, a novel method of 3-dimensional (3D) Visibility-Graph Analysis is proposed. This is an extension of Visibility Graph analysis of data series to perform the scaling analysis for 3D space. The experimental data spaces analyzed are made up of the component-space (in the X,Y and Z coordinates) of transverse momentum (pT) values taken out from 4-momenta of the signatures of the final state of the pair of mega-jets extracted from the multiJet primary pp collision data from Run B of 2010 at 7 TeV which was used for the search of SUSY using razor filter. The symmetry scaling and the inherent scaling behavior, scale-freeness of multi-particle production process is studied in terms of 3D Power-of-Scale-freeness-of-Visibility-Graph (3D-PSVG) extracted from the 3D Visibility Graphs constructed out of the experimental data spaces. The signature of SUSY may be identified by analyzing the scaling behavior and long-range correlation inherent in the 3D space made up of signatures of final state of multi-particles produced in the pp collision at 7 TeV, for the analysis of SUSY, which the conventional method of analyzing the spectrum of invariant mass or pT may miss.

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Self-similarity of strangeness production in pp collisions at RHIC

Cited by 8 publications

References 17 publications

Symmetry-Scaling Based Complex Network Approach to Explore Exotic Hadronic States in High-Energy Collision

Symmetry-Scaling Based Complex Network Approach to Explore Exotic Hadronic States in High-Energy Collision

Top-Quarkp_T-Spectra at LHC and Flavor Independence ofz-Scaling

Searching for Supersymmetry at LHC Using the Complex-Network-Based Method of the Three-Dimensional Visibility-Graph

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Self-similarity of strangeness production in pp collisions at RHIC

Cited by 8 publications

References 17 publications

Symmetry-Scaling Based Complex Network Approach to Explore Exotic Hadronic States in High-Energy Collision

Symmetry-Scaling Based Complex Network Approach to Explore Exotic Hadronic States in High-Energy Collision

Top-QuarkpT-Spectra at LHC and Flavor Independence ofz-Scaling

Searching for Supersymmetry at LHC Using the Complex-Network-Based Method of the Three-Dimensional Visibility-Graph

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Product

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Top-Quarkp_T-Spectra at LHC and Flavor Independence ofz-Scaling