Different Treatments of Nuclear Binding Effect in Deep Inelastic Lepton Nucleus Scattering

Ma Boqiang; Sun Ji

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《中国物理C》（英文）编辑部

2024年10月30日

Chinese Physics C> 1988, Vol. 12> Issue(S4) : 337-346

Different Treatments of Nuclear Binding Effect in Deep Inelastic Lepton Nucleus Scattering

Ma Boqiang ,
Sun Ji

Department of Physics, Peking University, Beijing

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Abstract：
We give a kinematic modification of the impulse approximation by adopting on-shell kinematics and the constraint of overall energy conservation, and calculate the nuclear binding effect in deep inelastic lepton nucleus scattering. We also compare this model with the off-shell mcxJel of nuclear binding effect, and find the two models give different results and predictions about the structure function F₁^A(x) and the Callan-Gross ratio R_A=σ_L/σ_T for bound nucleons. The comparison with experiments shows that the on-shell model can explain more experimental phenomena and also describe the data better than the off-shell model.

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Ma Boqiang and Sun Ji. Different Treatments of Nuclear Binding Effect in Deep Inelastic Lepton Nucleus Scattering[J]. Chinese Physics C, 1988, 12(S4): 337-346.

Ma Boqiang and Sun Ji. Different Treatments of Nuclear Binding Effect in Deep Inelastic Lepton Nucleus Scattering[J]. Chinese Physics C, 1988, 12(S4): 337-346. shu

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Received: 1987-08-11

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Different Treatments of Nuclear Binding Effect in Deep Inelastic Lepton Nucleus Scattering

Ma Boqiang
Sun Ji

Department of Physics, Peking University, Beijing

Received Date: 1987-08-11

Abstract: We give a kinematic modification of the impulse approximation by adopting on-shell kinematics and the constraint of overall energy conservation, and calculate the nuclear binding effect in deep inelastic lepton nucleus scattering. We also compare this model with the off-shell mcxJel of nuclear binding effect, and find the two models give different results and predictions about the structure function F₁^A(x) and the Callan-Gross ratio R_A=σ_L/σ_T for bound nucleons. The comparison with experiments shows that the on-shell model can explain more experimental phenomena and also describe the data better than the off-shell model.