Monte Carlo Investigation of Fractal Structure of Multiparticle Production in High Energy Collision

YU Lian-Zhi; LIU Lian-Shou; CAI Xu

Chinese Physics C> 1992, Vol. 16> Issue(7) : 633-639

Monte Carlo Investigation of Fractal Structure of Multiparticle Production in High Energy Collision

Institute of Particle Physics,Hua-Zhong Normal University,Wuhan 430070

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Abstract：
Fluctuations of the produced particles of the final states in high energy collisions may be the break through for investigating multi-particle dynamics.How to eliminate the statistical noise of the system is one of the most important problems.In this paper the influence of the statistical noise on fractal structure is analysed and a kind of method for eliminating statistical noise is proposed by using the Monte Carlo simulation based on a simplt dynamical model.

References

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YU Lian-Zhi, LIU Lian-Shou and CAI Xu. Monte Carlo Investigation of Fractal Structure of Multiparticle Production in High Energy Collision[J]. Chinese Physics C, 1992, 16(7): 633-639.

YU Lian-Zhi, LIU Lian-Shou and CAI Xu. Monte Carlo Investigation of Fractal Structure of Multiparticle Production in High Energy Collision[J]. Chinese Physics C, 1992, 16(7): 633-639. shu

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Received: 1900-01-01
Revised: 1900-01-01

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1.
沈阳化工大学材料科学与工程学院沈阳 110142

Monte Carlo Investigation of Fractal Structure of Multiparticle Production in High Energy Collision

Corresponding author: YU Lian-Zhi,

Institute of Particle Physics,Hua-Zhong Normal University,Wuhan 430070

Received Date: 1900-01-01
Accepted Date: 1900-01-01
Available Online: 1992-07-05

Abstract: Fluctuations of the produced particles of the final states in high energy collisions may be the break through for investigating multi-particle dynamics.How to eliminate the statistical noise of the system is one of the most important problems.In this paper the influence of the statistical noise on fractal structure is analysed and a kind of method for eliminating statistical noise is proposed by using the Monte Carlo simulation based on a simplt dynamical model.