NSR Query Results
Output year order : Descending NSR database version of April 26, 2024. Search: Author = Q.Leng Found 2 matches. 2023QU03 Chin.Phys.C 47, 054002 (2023) G.Qu, Y.Huang, H.Zheng, X.Liu, R.Wada, W.Lin, M.Huang, J.Han, P.Ren, Z.Yang, X.Zhang, Q.Leng Determining the nuclear temperature dependence on source neutron-proton asymmetry in heavy-ion reactions at intermediate energy NUCLEAR REACTIONS 112Sn, 70Zn(64Zn, X), 112,124Sn, 58,64Ni, 197Au, 232Th(64Ni, X), E=40 MeV/nucleon; analyzed available data; deduced the dependence of nuclear temperature on emitting source neutron-proton N/Z asymmetry with light charged particles (LCPs) and intermediate mass fragments (IMFs) generated from intermediate-velocity sources in thirteen reaction systems with different N/Z asymmetries.
doi: 10.1088/1674-1137/acbd91
2022ZH15 Phys.Rev. C 105, 034611 (2022) X.Zhang, X.Liu, Y.Huang, W.Lin, H.Zheng, R.Wada, A.Bonasera, Z.Chen, L.Chen, J.Han, R.Han, M.Huang, Q.Hu, Q.Leng, C.W.Ma, G.Qu, P.Ren, G.Tian, Z.Xu, Z.Yang, L.Zhang Determining impact parameters of heavy-ion collisions at low-intermediate incident energies using deep learning with convolutional neural networks NUCLEAR REACTIONS 124Sn(124Sn, X), E=50, 70, 100 MeV/nucleon; calculated absolute transverse and longitudinal momentum per nucleon of all possible charged particles in exit channel with constrained molecular dynamics (CoMD) model, impact parameter values by convolutional neural network (CNN). Events generated by CoMD are used as input for CNN training. Comparison to impact parameter values obtained using the conventional methods with the impact-parameter sensitive observables.
doi: 10.1103/PhysRevC.105.034611
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