Chinese Physics C > 1988, Vol. 12 > Issue(2): 203-207

TRANSPORT THEORY APPROACH TO THE PARTON MULTIPLE SCATTERING IN NUCLEI——MONTE CARLO SIMULATION

Institute of Atomic Energy,Beijing

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Abstract：
Transport theory approach to the parton muliple hard scattering in nucleus and the corresponding Monte Carlo techniques have been developed.The puzzle of Q ²dependence is overcome by bias sampling method.As an example the ratio of π ⁺production in p (E _p=400GeV)+W reaction to p+p reaction has been calculated.The agreement with data reasonably good.

References

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A. Krzywicki, J. Engel and B. Petersson, Phys. Lett , 85B(1979), 407.M. Lev and B. Petersson, Z. Physik, C21(1983), 155.[2] J F. Owens and E. Reya, Phys. Rev., D17(1978), 3033.[3] R. Baier, J. Engels and B. Petersson, 2. Physik,C2(1979), 265.[4] B. L. Combridge, J. Kripfganz and J. Ranft, Phys. Lett., 70B(1977) ,234.[5] UA2 collab., Phys. Lett., 144B(1984), 283.[6] Y. B. Hsiung, et al., Phys. Rev. Lerz, 55(1985), 457.[7] M. Diemoz, F. Ferroni and E. Longo, Phys. Rep, 130(1986), 293.

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SA Ben-Hao, YANG Xia-Zhou and BAI Xi-Xiang. TRANSPORT THEORY APPROACH TO THE PARTON MULTIPLE SCATTERING IN NUCLEI——MONTE CARLO SIMULATION[J]. Chinese Physics C, 1988, 12(2): 203-207.

SA Ben-Hao, YANG Xia-Zhou and BAI Xi-Xiang. TRANSPORT THEORY APPROACH TO THE PARTON MULTIPLE SCATTERING IN NUCLEI——MONTE CARLO SIMULATION[J]. Chinese Physics C, 1988, 12(2): 203-207. shu

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

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沈阳化工大学材料科学与工程学院沈阳 110142

TRANSPORT THEORY APPROACH TO THE PARTON MULTIPLE SCATTERING IN NUCLEI——MONTE CARLO SIMULATION

Corresponding author:SA Ben-Hao,

Institute of Atomic Energy,Beijing

Received Date:1900-01-01
Accepted Date:1900-01-01
Available Online:1988-04-05

Abstract:Transport theory approach to the parton muliple hard scattering in nucleus and the corresponding Monte Carlo techniques have been developed.The puzzle of Q²dependence is overcome by bias sampling method.As an example the ratio of π⁺production in p (E_p=400GeV)+W reaction to p+p reaction has been calculated.The agreement with data reasonably good.