Negative Binomial Distribution and the multiplicity moments at the LHC

Abstract

In this work we show that the latest LHC data on multiplicity moments $C_2-C_5$ are well described by a two-step model in the form of a convolution of the Poisson distribution with energy-dependent source function. For the source function we take $\Gamma$ Negative Binomial Distribution. No unexpected behavior of Negative Binomial Distribution parameter $k$ is found. We give also predictions for the higher energies of 10 and 14 TeV.

10 pages, 3 figures. Version accepted in Phys. Lett. B. Comments concerning mdels of multiparticle production and some references added

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Cited by in corpus (11)

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• A three-component description of multiplicity distributions in pp collisions at the LHC
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• CGC/saturation approach for high energy soft interactions: ${\mathbf{v}}_2$ in proton-proton collisions
• Weibull Distribution and the multiplicity moments in $pp(p\bar{p})$ collisions
• CGC/saturation approach for soft interactions at high energy: long range rapidity correlations
• Multiplicity distributions in the forward rapidity region in proton-proton collisions at the Large Hadron Collider
• Comparative study of charged multiplicities and moments in $pp$ collisions at $\sqrt{s}$=7 TeV in the forward region at the LHC
• Moments of multiplicity distributions using Tsallis statistics in leptonic and hadronic collisions
• Significance of the negative binomial distribution in multiplicity phenomena
• The energy dependence of the multiplicity moments at the LHC