As shown recently, one can obtain additional information from the measured charged particle multiplicity distributions, P (N ), by extracting information from the modified combinants, C j . This information is encoded in their specific oscillatory behavior, which can be described only by some combinations of compound distributions such as the Binomial Distribution. This idea has been applied to pp and pp processes thus far. In this note we show that an even stronger effect is observed in the C j deduced from e + e − collisions. We present its possible explanation in terms of the Generalised Multiplicity Distribution (GMD) proposed some time ago.

As shown recently, one can obtain additional information from the measured charged particle multiplicity distributions, P (N ), by investigating the so called modified combinants, C j , extracted from them. This information is encoded in the observed specific oscillatory behavior of C j , which phenomenologically can be described only by some combinations of compound distributions based on the Binomial Distribution. So far this idea has been checked in pp and e + e − processes (where observed oscillations are spectacularly strong). In this paper we continue observation of multiparticle production from the modified combinants perspective by investigating dependencies of the observed oscillatory patterns on type of colliding particles, their energies and the phase space where they are observed. We also offer some tentative explanation based on different types of compound distributions and stochastic branching processes.

The intermittency-type fluctuations in the pseudorapidity space of pp collisions at $ \sqrt s $ = 7 TeV done at the LHC is investigated, by analysing the scaling properties (exponents) of the factorial moments of the event multiplicity distributions in decreasing pseudorapidity bin size. It is found that the scaling behaviour persists in the $ \sqrt s $ = 7 TeV regime, indicating intermittent behaviour as observed previously in analyses done at lower energies [1,2]. Comparison is also made with the theoretical predictions of the Generalised Multiplicity Distribution (GMD) [3,4,6].

The full Giovannini parton branching equation is integrated numerically using the fourth-order Runge-Kutta method. Using a simple hadronization model, a charged-hadron multiplicity distribution is obtained. This model is then fitted to various experimental data up to the TeV scale to study how the Giovannini parameters vary with collision energy and type. The model is able to describe hadronic collisions up to the TeV scale and reveals the emergence of gluonic activity as the center-of-mass energy increases. A prediction is made for [Formula: see text].

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