Higher moments of the pion multiplicity distribution in proton-proton interactions at 12 and 24 GeV/c

An efficient neural network (NN) has been designed to simulate the hadron–hadron interaction at high energy. Two cases have been considered simultaneously, the proton–proton (p–p) and the pion–proton (π-p) interactions. The neural network has been trained to produce the charged multiplicity distribution for both cases based on samples from the overlapping functions. The trained NN shows a good performance in matching the trained distributions. The NN is then used to predict the distributions that are not present in the training set and matched them effectively. The robustness of the designed NN in the presence of uncertainties, in the overlapping functions has been demonstrated.

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Total inelastic pion multiplicity distribution in 250-GeV/cπ−pinteractions

Physical Review D ◽

10.1103/physrevd.29.368 ◽

1984 ◽

Vol 29 (3) ◽

pp. 368-374 ◽

Cited By ~ 2

Author(s):

R. N. Diamond ◽

P. J. Hays ◽

S. Hagopian ◽

J. E. Lannutti

Keyword(s):

Multiplicity Distribution ◽

Pion Multiplicity

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Pion multiplicity distribution in antiproton-proton annihilation at rest

Zeitschrift für Physik C Particles and Fields ◽

10.1007/bf01571289 ◽

1995 ◽

Vol 67 (2) ◽

pp. 281-286 ◽

Cited By ~ 6

Author(s):

W. Blümel ◽

U. Heinz

Keyword(s):

Multiplicity Distribution ◽

Pion Multiplicity

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TARGET MASS DEPENDENCE AND SCALING OF THE CHARGED PARTICLE MULTIPLICITY

Modern Physics Letters A ◽

10.1142/s0217732387000355 ◽

1987 ◽

Vol 02 (04) ◽

pp. 251-260

Author(s):

M. SHYAM ◽

I.D. OJHA ◽

S.K. TULI

Keyword(s):

Multiplicity Distribution ◽

Empirical Relation ◽

Particle Multiplicity ◽

Charged Particle Multiplicity ◽

Mass Dependence ◽

Proton Proton ◽

Proton Collisions ◽

Target Mass ◽

The Mean ◽

Proton Proton Collisions

Target mass dependence of multiplicity distribution of particles produced in hadron-nucleus interactions is exhibited by a new kind of empirical relation through the study of the mean number of wounded quarks. Scaling in proton-nucleus as well as proton-proton collisions is studied and is extrapolated to see its applicability to the data at the highest energy available.

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Predictions for the higher moments of the charged-particle multiplicity distribution

Lettere al Nuovo Cimento ◽

10.1007/bf02832783 ◽

1972 ◽

Vol 5 (1) ◽

pp. 108-111 ◽

Cited By ~ 5

Author(s):

V. Gupta

Keyword(s):

Charged Particle ◽

Multiplicity Distribution ◽

Particle Multiplicity ◽

Higher Moments ◽

Charged Particle Multiplicity

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Multiparticle production in proton–proton collisions at high energies

Canadian Journal of Physics ◽

10.1139/p85-243 ◽

1985 ◽

Vol 63 (11) ◽

pp. 1449-1452 ◽

Cited By ~ 5

Author(s):

M. T. Hussein ◽

N. M. Hassan ◽

M. K. Hegab

Keyword(s):

Monte Carlo ◽

Theoretical Model ◽

Phase Space ◽

Multiplicity Distribution ◽

Proton Proton ◽

Sequential Decay ◽

Proton Collisions ◽

High Energies ◽

Proton Proton Collisions ◽

Phase Space Integral

The multiplicity distribution and the inelasticity coefficient are studied for proton–proton collisions at incident energies of 6, 19, 25, and 69 GeV. A theoretical model is proposed, based on a sequential decay system formed by the two interacting protons. The Monte Carlo technique is used to calculate the phase-space integral and for simulation of events for the different reactions.

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ZONAL POISSONIAN PION MULTIPLICITY IN CENTRAL 24Mg-AgBr COLLISIONS AT DUBNA ENERGY

Modern Physics Letters A ◽

10.1142/s0217732389001386 ◽

1989 ◽

Vol 04 (13) ◽

pp. 1197-1202 ◽

Cited By ~ 15

Author(s):

DIPAK GHOSH ◽

AMITABHA MUKHOPADHYAY ◽

ANIT GHOSH ◽

JAYA ROY

Keyword(s):

Multiplicity Distribution ◽

Physical Implication ◽

Pion Multiplicity

This paper reports a study on the coherent production of pions in central 24 Mg-AgBr collisions at 4.5 GeV /c per nucleon. The analysis is based on a comparison of experimental multiplicity distribution in different pseudo rapidity bins with Poissonic distributions. It has been observed that pion multiplicity is Poissonian in some specific zone. The physical implication is also discussed.

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