Cumulants of QCD multiplicity distributions in small phase space bins

Dremin, I. M.

doi:10.1016/0370-2693(94)01304-7

Cited by 13 publications

(4 citation statements)

References 8 publications

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“…In contrast to the quark parameter, the gluon parameter, n h g has a value close to one, that is confirmed by fitting: n h g = 0.947 ± 0.002 at χ 2 /ndf = 34/17 = 2 (figure 1, the right panel). The TSM confirms predicted by I. Dremin [3] oscillations of the ratio of cumulative factorial moment to factorial moment as function of their rank, the growth of the period of oscillations at energy higher 90 GeV and changing of the sign of the second correlative moment with energy [8,14] …”

Section: Tsm and E + E − Annihilationsupporting

confidence: 76%

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Gluon dominance model

Кокоулина

Kutov²

2017

EPJ Web Conf.

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Abstract. Study of multi-particle production has longer than the semi-centennial history. As it is known, with the growth of energy of accelerators, the new channels of reaction are being opened, the average number of secondary particles is increasing. Physicists are able to accelerate stable particles, such as electrons, positrons, protons, antiprotons, ions (both light and heavy). Rarely, they accelerate kaons and pions. The obtained experimental material stimulates the development of the different theoretical approaches. Since appearance of the modern theory of strong interactions, quantum chromodynamics (QCD), our understanding of multi-particle production is advanced significantly. The language of quarks and gluons is basic one at the explanation of observable phenomena. This review is devoted to the history of appearance and the following development of the gluon dominance model. This model is based on the pQCD and the phenomenological description of the hadronization stage. It permits to describe multiplicity distributions both for lepton and hadron interactions, especially in the high multiplicity region.

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Section: Tsm and E + E − Annihilationsupporting

confidence: 76%

“…For the description of multi-particle processes, the language of the mathematical statistics is applied [3]. The multiplicity distribution (MD), P n , or the probability of production of n particles is the ratio P n = σ n /σ inel , where σ n is the topological cross section, σ inel = n σ n .…”

Section: Introductionmentioning

confidence: 99%

Gluon dominance model

Кокоулина

Kutov²

2017

EPJ Web Conf.

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“…The minimum position slowly changes with energy and with the size of the phase space window because it is inverse proportional (see [40,89]) to the square root of the running coupling strength, i.e., to γ 0 . For some specific processes this shift can be very strong (e.g., it has been found for instanton induced processes [90] that the minimum moves to q ≈ 2 because the multiplicity distribution in these processes is very narrow).…”

Section: Oscillations Of Cumulant Momentsmentioning

confidence: 99%

Multiparticle production and quantum chromodynamics

Dremin

2002

Phys.-Usp.

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The theory of strong interactions, quantum chromodynamics (QCD), is quite successful in the prediction and description of main features of multiparticle production processes at high energies. The general perturbative QCD approach to these processes (mainly to e + e − -annihilation) is briefly formulated and its problems are discussed. It is shown that the analytical calculations at the parton level with the low-momentum cut-off reproduce experimental data on the hadronic final state in multiparticle production processes at high energies surprisingly accurately even though the perturbative expansion parameter is not very small. Moreover, it is important that the perturbative QCD has been able not only to describe the existing data but also to predict many bright qualitatively new phenomena.

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“…The produced particles can be the baryons (qqq state), mesons (qq state) or leptons. Simplest but the most significant observation to describe the mechanism of particle production is the observation of charged particle multiplicity [5,6] and the distribution of number of particles produced, known as multiplicity distribution [7]. Multiplicity distribution, MD, also carries important information about the correlations of particles produced, thus providing a very fine way to inquest the dynamics of the quark-quark, gluon-gluon and quark-gluon interactions.…”

Section: Introductionmentioning

confidence: 99%

Moments of multiplicity distributions using Tsallis statistics in leptonic and hadronic collisions

Sharma

Kaur

2019

Phys. Rev. D

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Moments play a crucial role in investigating the characteristics of charged particle multiplicities in high energy interactions. The success of any model which describes the multiplicity data can be understood well by studying the normalised and factorial moments of that distribution. The Tsallis model is one of the most successful models which describes the multiplicity spectra, transverse momentum (pT ) spectra very precisely in high energy interactions. In our previous work we have used the Tsallis q-statistics to describe the multiplicity distributions in leptonic and hadronic collisions at various energies ranging from 14 GeV to 7 TeV. In the present study we have extended our analysis for calculating the moments using the Tsallis model for e + e − interactions at √ s = 91 to 206 GeV from the LEP data and for pp interactions at √ s = 0.9 to 7 TeV in various pseudo-rapidity intervals from the CMS data at LHC. By using the Tsallis model we have also calculated the average charged multiplicity and its dependence on energy. It is found that the moments and the mean multiplicities predicted by the Tsallis model are in good agreement with the experimental values. We have also predicted the mean multiplicity at √ s = 500 GeV for e + e − collisions and at √ s = 14 TeV for pp collisions in extreme pseudo-rapidity interval, |η| < 2.4

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Cumulants of QCD multiplicity distributions in small phase space bins

Cited by 13 publications

References 8 publications

Gluon dominance model

Gluon dominance model

Multiparticle production and quantum chromodynamics

Moments of multiplicity distributions using Tsallis statistics in leptonic and hadronic collisions

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