The separation and identification of isotopes emitted from the projectile fragmentation reaction of 80 MeV/u 20Ne on 9Be target were carried out by using the radioactive ion beam line in Lanzhou(RIBLL).Many proton ric...The separation and identification of isotopes emitted from the projectile fragmentation reaction of 80 MeV/u 20Ne on 9Be target were carried out by using the radioactive ion beam line in Lanzhou(RIBLL).Many proton rich isotopes are obtained.Their intensity and purity fit the theoretical calculations.Good separation and identification abilities of RIBLL A/ΔA>300 and Q/ΔQ>150,are obtained.展开更多
Measurements of total reaction cross sections(σR)for some proton-rich nuclei(N=11-15 isotones)on carbon target at intermediate energies have been performed on the Radioactive Ion Beam Line of the Heavy Ion Research F...Measurements of total reaction cross sections(σR)for some proton-rich nuclei(N=11-15 isotones)on carbon target at intermediate energies have been performed on the Radioactive Ion Beam Line of the Heavy Ion Research Facility in Lanzhou.A large enhancement ofσR for ^(27)P has been observed than for its neighbors.Evidence for a proton halo in ^(27)P has been revealed in the Glauber analysis of the total reaction cross sections in terms of the difference factor d.展开更多
The potential energy surfaces and density distributions of ground states in even-mass Be isotopes are studied by using the point-coupling covariant density functional theory with the PC-F1 effective interaction.The cl...The potential energy surfaces and density distributions of ground states in even-mass Be isotopes are studied by using the point-coupling covariant density functional theory with the PC-F1 effective interaction.The clustering structure is exhibited automatically in most of the Be isotopes.The results indicate that ^(6)Be has an α+2p clustering structure,while ^(8,10,14)Be have the 2αclustering structure.Theα–αdistances and the corresponding quadrupole deformation parameters have a similar evolution trend against the neutron number.展开更多
Fragments produced in the reactions of 69 MeV/nucleon ^(36)Ar and ^(55)MeV/nucleon ^(40)Ar on a Be target have been measured experimentally.The isotopic distributions from fragmentation reaction for both projectiles a...Fragments produced in the reactions of 69 MeV/nucleon ^(36)Ar and ^(55)MeV/nucleon ^(40)Ar on a Be target have been measured experimentally.The isotopic distributions from fragmentation reaction for both projectiles are reproduced by using a modified statistical abrasion-ablation model.Strong isospin effect exhibits in the isotopic distributions produced in ^(36)Ar and ^(40)Ar fragmentation.Experimental evidence is seen for the disappearance of the isospin effect in fragmentation reaction.展开更多
海底电缆作为各类海上平台能源供给的生命线,一旦发生故障将产生巨大的经济及战略影响,准确预测海底电缆运行状态有助于提前把握其运行风险,从而实现预防性维护。在充分挖掘海底电缆运维数据中的动、静态特征的基础上,提出了一种基于注...海底电缆作为各类海上平台能源供给的生命线,一旦发生故障将产生巨大的经济及战略影响,准确预测海底电缆运行状态有助于提前把握其运行风险,从而实现预防性维护。在充分挖掘海底电缆运维数据中的动、静态特征的基础上,提出了一种基于注意力机制和卷积神经网络-门控循环神经网络(convolutional neural networks-gated recurrent unit, CNN-GRU)海底电缆运行状态预测方法。首先,考虑在线监测、巡检指标、静态试验三类关键影响因素,建立海底电缆运行状态评估指标体系;然后,基于改进层次分析法及多层次变权评估思想构建海底电缆运行状态评估模型;最后,建立基于注意力机制和CNN-GRU组合神经网络模型,将历史运行参数及状态量化结果作为输入特征参量,实现海底电缆运行状态的演化趋势预测。算例分析表明,所提方法可有效预测海底电缆的运行状态,平均百分数误差低至1.04%,与全连接神经网络、CNN、CNN-长短期记忆神经网络(long short term memory, LSTM)等算法相比均具备更优的预测精度。展开更多
基金Supported by the Chinese Academy of Sciencesthe National Committee of Science and Technology of China。
文摘The separation and identification of isotopes emitted from the projectile fragmentation reaction of 80 MeV/u 20Ne on 9Be target were carried out by using the radioactive ion beam line in Lanzhou(RIBLL).Many proton rich isotopes are obtained.Their intensity and purity fit the theoretical calculations.Good separation and identification abilities of RIBLL A/ΔA>300 and Q/ΔQ>150,are obtained.
基金Supported by the Major State Basic Research Development Program in China under Contract No.G200077400.
文摘Measurements of total reaction cross sections(σR)for some proton-rich nuclei(N=11-15 isotones)on carbon target at intermediate energies have been performed on the Radioactive Ion Beam Line of the Heavy Ion Research Facility in Lanzhou.A large enhancement ofσR for ^(27)P has been observed than for its neighbors.Evidence for a proton halo in ^(27)P has been revealed in the Glauber analysis of the total reaction cross sections in terms of the difference factor d.
基金Supported by the National Natural Science Foundation of China(11075133,10205019)the Fundamental Research Funds for the Chinese Central Universities(XDJK2010D005,XDJK2010C049)the National Innovation Experimental Program for Chinese University Students(101063522).
文摘The potential energy surfaces and density distributions of ground states in even-mass Be isotopes are studied by using the point-coupling covariant density functional theory with the PC-F1 effective interaction.The clustering structure is exhibited automatically in most of the Be isotopes.The results indicate that ^(6)Be has an α+2p clustering structure,while ^(8,10,14)Be have the 2αclustering structure.Theα–αdistances and the corresponding quadrupole deformation parameters have a similar evolution trend against the neutron number.
基金Supported by the Major State Basic Research Development Program in China Under Contract No.G200077400.
文摘Fragments produced in the reactions of 69 MeV/nucleon ^(36)Ar and ^(55)MeV/nucleon ^(40)Ar on a Be target have been measured experimentally.The isotopic distributions from fragmentation reaction for both projectiles are reproduced by using a modified statistical abrasion-ablation model.Strong isospin effect exhibits in the isotopic distributions produced in ^(36)Ar and ^(40)Ar fragmentation.Experimental evidence is seen for the disappearance of the isospin effect in fragmentation reaction.
文摘海底电缆作为各类海上平台能源供给的生命线,一旦发生故障将产生巨大的经济及战略影响,准确预测海底电缆运行状态有助于提前把握其运行风险,从而实现预防性维护。在充分挖掘海底电缆运维数据中的动、静态特征的基础上,提出了一种基于注意力机制和卷积神经网络-门控循环神经网络(convolutional neural networks-gated recurrent unit, CNN-GRU)海底电缆运行状态预测方法。首先,考虑在线监测、巡检指标、静态试验三类关键影响因素,建立海底电缆运行状态评估指标体系;然后,基于改进层次分析法及多层次变权评估思想构建海底电缆运行状态评估模型;最后,建立基于注意力机制和CNN-GRU组合神经网络模型,将历史运行参数及状态量化结果作为输入特征参量,实现海底电缆运行状态的演化趋势预测。算例分析表明,所提方法可有效预测海底电缆的运行状态,平均百分数误差低至1.04%,与全连接神经网络、CNN、CNN-长短期记忆神经网络(long short term memory, LSTM)等算法相比均具备更优的预测精度。
