Multiplicity fluctuations and correlations in $$^{16}$$O–AgBr collisions at AGS and SPS energies

Ali, B.; Singh, Sweta; Ahmad, Shakeel

doi:10.1140/epjp/s13360-022-02443-x

Cited by 2 publications

(1 citation statement)

References 43 publications

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“…Since the UrQMD model is not sufficient to fully describe the multiparticle production dynamics, hence we have used another simulated event generator called A Multi Phase Transport (AMPT) [44][45][46] model to compare the experimental as well as UrQMD, simulated data [47]. In relativistic heavy ion collisions, AMPT is nothing but a Monte Carlo event generator.…”

Section: Ampt Modelmentioning

confidence: 99%

R/S Analysis on Multiparticle Production Process in Nucleus-Nucleus Collisions at Different SPS Energies

2023

Bulg.J.Phys.

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The rescaled range analysis technique has been implemented to investigate the multiparticle production dynamics of 16 O-Ag/Br interactions at 60A GeV and 32 S-Ag/Br interactions at 200A GeV. We have analyzed the properties like multifractality, scale-freeness, and correlation among the produced particles. We have also used the simulated event generators UrQMD and AMPT model to compare with the experimental data sets. It has been observed that for 16 O-Ag/Br interactions, the AMPT simulated data shows more consistency compared to both experimental and UrQMD simulated data. Similarly for 32 S-Ag/Br interactions, the experimental data set shows more long-term positive autocorrelation in comparison with AMPT and UrQMD simulated data sets. It has been also observed that the rescaled range analysis technique is very prominent to describe the multiparticle production dynamics in relativistic heavy ion collisions.

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Section: Ampt Modelmentioning

confidence: 99%

R/S Analysis on Multiparticle Production Process in Nucleus-Nucleus Collisions at Different SPS Energies

2023

Bulg.J.Phys.

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Entropy and multifractality in ring-like and jet-like events produced in 11.6 A GeV/c 197Au-AgBr collisions

Ali,

Singh,

Chandra

et al. 2024

Int. J. Mod. Phys. E

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Physical quantities, such as entropy, dimensions and multifractal characteristics of multiplicity distributions of charged particles produced in [Formula: see text]Au–AgBr collisions, are examined and the findings are compared with the predictions of Monte Carlo model Ultra-Relativistic Quantum Molecular Dynamics (URQMD) and Heavy Ion Jet INteraction Generator (HIJING) and also with the results reported earlier in hadron–hadron and nucleus–nucleus collisions at different energies. Based on their azimuth distribution, the charged particles produced within narrow-bins exhibit two kinds of substructures, namely, ring-like and jet-like substructures. Thus, on applying the suitable criteria, the two different types of events are identified and analyzed separately. It is observed that the maximum entropy production occurs around a narrow mid-rapidity region. The analyses of ring-like and jet-like events suggest that the entropy production is much larger in ring-like events as compared to that in jet-like events. Furthermore, Rényi’s order-q information entropy is used to estimate the multifractal specific heat and to construct the spectrum of scaling indices. The findings reveal that the value of multifractal specific heat is higher in ring-like events as compared to that in jet-like events. The studies of generalized dimension and multifractal spectrum indicate that the multifractality is rather, more pronounced in ring-like events as compared to jet-like events. Various features of the experimental data are noticed to be nicely reproduced by the URQMD model.

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Multiplicity fluctuations and correlations in $$^{16}$$O–AgBr collisions at AGS and SPS energies

Cited by 2 publications

References 43 publications

R/S Analysis on Multiparticle Production Process in Nucleus-Nucleus Collisions at Different SPS Energies

R/S Analysis on Multiparticle Production Process in Nucleus-Nucleus Collisions at Different SPS Energies

Entropy and multifractality in ring-like and jet-like events produced in 11.6 A GeV/c 197Au-AgBr collisions

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