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Prog. Theor. Phys. Vol. 51 No. 1 (1974) pp. 212-223

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Multiplicity Distribution Model Based on Cluster Assumption in High-Energy Hadronic Collisions

Kan-ichi Yokoyama, Hisakazu Minakata and Mikio Namiki*

Research Institute for Theoretical Physics, Hiroshima University, Takehara, Hiroshima 725
*Department of Physics, Waseda University, Tokyo 160

(Received July 16, 1973)

Abstract:

In order to describe the feature of correlations among produced particles in high-energy hadronic collisions, a new type of multiplicity distribution is introduced. The distribution can be derived from some simple assumptions of clustering for produced particles, and it corresponds to a modified Pólya distribution in which two parameters are included besides the averaged multiplicity. Under some conditions given for these parameters in stochastic and clustering sense, it is shown that the distribution can lead to two- and three-particle correlation parameters consistent with the data in the 70 ∼ 300 GeV/c region of incident momentum in proton-proton collisions. Some possible parametrizations lead to the Koba-Nielsen-Olesen scaling as well as the above.


URL : http://ptp.ipap.jp/link?PTP/51/212/
DOI : 10.1143/PTP.51.212

[ Full Text PDF : FREE ACCESS (818K) ] Citation:


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Citing Article(s) :

  1. Progress of Theoretical Physics Vol. 51 No. 5 (1974) pp. 1481-1487 :
    A Geometrical Aspect of Multiplicity Distribution and Elastic Diffraction Scattering
    Hisakazu Minakata
  2. Progress of Theoretical Physics Vol. 53 No. 2 (1975) pp. 532-543 :
    Self-Consistent Scaling Model for Multiplicity Distribution and Semi-Inclusive Missing Mass Spectra
    Hisakazu Minakata
  3. Progress of Theoretical Physics Vol. 53 No. 3 (1975) pp. 905-906 :
    On Effect of Energy-Momentum Conservation Imposed on Final Coherent States of Multiparticle Production
    Minoru Monda, Minoru Takeda and Kan-ichi Yokoyama
  4. Progress of Theoretical Physics Vol. 74 No. 6 (1985) pp. 1281-1289 :
    Study of the Violation of KNO Scaling and the Validity of Modified KNO Scaling Based on the Cluster Model
    Kiyoshi Kudo