1996
DOI: 10.1088/0954-3899/22/5/007
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Multifractal multiplicity distribution in bunching parameter analysis

Abstract: A new multiplicity distribution with multifractal properties which can be used in high-energy physics and quantum optics is proposed. It may be considered as a generalization of the negative-binomial distribution. We find the structure of the generating function for such distribution and discuss its properties.

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Cited by 20 publications
(23 citation statements)
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“…(d) Coefficients C j emerging from the CMS data used in panel (a) compared with the NB and 2-NBD fits shown there and with the C j obtained from the MNB with modifications proposed in [9] and shown in panel (c). by some other forms of P(N) [1,[5][6][7][8]. However, as seen in Fig.…”
Section: Introductionmentioning
confidence: 86%
“…(d) Coefficients C j emerging from the CMS data used in panel (a) compared with the NB and 2-NBD fits shown there and with the C j obtained from the MNB with modifications proposed in [9] and shown in panel (c). by some other forms of P(N) [1,[5][6][7][8]. However, as seen in Fig.…”
Section: Introductionmentioning
confidence: 86%
“…Usually the first choice of P (N ) in fitting data is a single NBD [6]. However, with growing energy and number of produced secondaries the NBD increasingly deviates from data for large N (see [4]) and is replaced either by combinations of two [7,8], three [9], or multi-component NBDs [10], or by some other form of P (N ) [1,6,[11][12][13]. However, such a procedure only improves the agreement at large N , whereas the ratio R = data/f it deviates dramatically from unity at small N for all fits [4,5].…”
Section: Modified Combinants Combinants and Void Probabilitiesmentioning
confidence: 99%
“…where f "1 according to (6) and (8). Therefore, O ( ) calculated from experiment gives information on the fluctuations described by the theoretical probability density w( ), since Poissonian contributions cancel at small .…”
Section: The Problem Of Poissonian Noisementioning
confidence: 99%
“…In order to reveal intermittent structure of multiparticle production, it is, in fact, sufficient to study the behavior of the probability distribution near multiplicity n"q!1 by means of the so-called bunching parameters (BPs) [7,8] O ( )" q q!1…”
Section: Introductionmentioning
confidence: 99%