Comparison of multiplicity distributions to the negative binomial distribution in muon-proton scattering

Negative Binomial Distribution (NBD) has been shown to fit the charged particle multiplicity distributions obtained in various hadron-nucleus collision experiments at energies E lab = 6.2 to 800 GeV. The inverse of NBD-parameter k shows a logarithmic increase with CM energy, [Formula: see text] which is different from that in elementary collisions. It has also been shown for the abovementioned reactions that the average size of the 'clan' increases with energy. The investigation of clan structure in π− + Em reaction shows that the clans are more numerous but smaller in size in the forward than backward hemisphere.

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Negative binomial distribution fits to multiplicity distributions in restricted δη intervals from central 16O+Cu collisions at 14.6A and their implication for “intermittency”

Nuclear Physics A ◽

10.1016/0375-9474(94)90660-2 ◽

1994 ◽

Vol 566 ◽

pp. 423-426 ◽

Cited By ~ 3

Author(s):

M.J. Tannenbaum ◽

J. Kang

Keyword(s):

Negative Binomial Distribution ◽

Binomial Distribution ◽

Negative Binomial ◽

Multiplicity Distributions

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HADRON PRODUCTION IN THE RESTRICTED RAPIDITY INTERVALS IN PROTON-NUCLEUS INTERACTIONS AT HIGH ENERGIES

International Journal of Modern Physics A ◽

10.1142/s0217751x91000472 ◽

1991 ◽

Vol 06 (05) ◽

pp. 865-877 ◽

Cited By ~ 4

Author(s):

MADAN M. AGGARWAL

Keyword(s):

Negative Binomial Distribution ◽

Binomial Distribution ◽

Nuclear Emulsion ◽

Negative Binomial ◽

Hadron Production ◽

Target Size ◽

Multiparticle Production ◽

High Energies ◽

Rapidity Interval ◽

Multiplicity Distributions

Data on 200 and 400 GeV proton interactions with nuclear emulsion have been analyzed. It is found that the multiplicity distributions of the shower particles in the restricted rapidity intervals are well described by the negative binomial distribution (NBD). The dependences of the NBD parameters on rapidity interval, energy and target size have been studied. The results have also been discussed in terms of Giovannini and Van Hove’s clan model of multiparticle production.

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NEW ANALYSIS OF MULTIPLICITY DISTRIBUTIONS

Modern Physics Letters A ◽

10.1142/s0217732393003135 ◽

1993 ◽

Vol 08 (29) ◽

pp. 2747-2752 ◽

Cited By ~ 12

Author(s):

I. M. DREMIN

Keyword(s):

Negative Binomial Distribution ◽

Binomial Distribution ◽

Negative Binomial ◽

High Multiplicity ◽

Factorial Moments ◽

Large Rank ◽

Multiplicity Distributions

The ratio of cumulant to factorial moments is proposed as a new measure of multiplicity distributions. Its advantages and shortcomings are discussed using the negative binomial distribution and several QCD-inspired functions as examples. Its asymptotic at large rank reveals tiny features of high multiplicity tails of distributions which can become especially important at LHC and SSC.

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NEGATIVE BINOMIAL DISTRIBUTION AND MULTIPLICITY DISTRIBUTIONS FOR e+e− AND $p\bar{p}$ COLLISIONS

Modern Physics Letters A ◽

10.1142/s0217732386000695 ◽

1986 ◽

Vol 01 (09) ◽

pp. 553-556

Author(s):

C.K. CHEW ◽

S. DATÉ ◽

D. KIANG

Keyword(s):

Experimental Data ◽

Charged Particle ◽

Impact Parameter ◽

Negative Binomial Distribution ◽

Binomial Distribution ◽

Multiplicity Distribution ◽

Negative Binomial ◽

Particle Multiplicity ◽

Charged Particle Multiplicity ◽

Multiplicity Distributions

The charged particle multiplicity distribution in [Formula: see text] collision is related to that of e+e− in a class of geometric models. The multiplicity distribution at a given impact parameter is taken to be a negative binomial distribution. The calculation agrees well with the experimental data.

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