| 改进的Glauber模型对奇异核反应总截面数据的拟合 |
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| 引用本文： | 李加兴,王建松,郭忠言,肖国青,詹文龙,孙志宇,王猛,胡正国,陈立新,李琛,毛瑞士. 改进的Glauber模型对奇异核反应总截面数据的拟合[J]. 中国物理 C, 2004, 28(10): 1050-1054 |
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| 作者姓名： | 李加兴 王建松 郭忠言 肖国青 詹文龙 孙志宇 王猛 胡正国 陈立新 李琛 毛瑞士 |
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| 作者单位： | 中国科学院近代物理研究所 兰州730000(李加兴，王建松，郭忠言，肖国青，詹文龙，孙志宇，王猛，胡正国，陈立新，李琛)，中国科学院近代物理研究所 兰州730000(毛瑞士) |
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| 基金项目： | 国家自然科学基金 (10 2 0 5 0 19,10 10 5 0 11,10 3 0 5 0 15 )，国家重点基础研究发展规划项目 (G2 0 0 0 0 7740 1,G2 0 0 0 0 7740 4)，国家基金委创新研究群体科学基金 (10 2 2 10 0 3 )资助~~ |
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| 摘 要： | 利用Glauber模型对奇异核的反应总截面进行计算时,对模型进行了有限程修正和库仑修正,并对奇异核输入的密度采用了核芯加价核子的形式,使得理论与实验在中高能下都得到了很好的符合.
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| 关 键 词： | Glauber模型 反应总截面 双参数费米密度分布函数 |
| 收稿时间： | 2004-02-23 |
Fitting the Data of Exotic Structural Nuclear Total Reaction Cross Section with a Corrected Glauber Model |
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| LI Jia Xing ) WANG Jian Song GUO Zhong Yan XIAO Guo Qing ZHAN Wen LongSUN Zhi Yu WANG Meng HU Zheng Guo CHEN Li Xin LI Chen MAO Rui Shi. Fitting the Data of Exotic Structural Nuclear Total Reaction Cross Section with a Corrected Glauber Model[J]. High Energy Physics and Nuclear Physics, 2004, 28(10): 1050-1054 |
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| Authors: | LI Jia Xing ) WANG Jian Song GUO Zhong Yan XIAO Guo Qing ZHAN Wen LongSUN Zhi Yu WANG Meng HU Zheng Guo CHEN Li Xin LI Chen MAO Rui Shi |
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| Affiliation: | LI Jia Xing 1) WANG Jian Song GUO Zhong Yan XIAO Guo Qing ZHAN Wen LongSUN Zhi Yu WANG Meng HU Zheng Guo CHEN Li Xin LI Chen MAO Rui Shi |
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| Abstract: | In order to fit the total reaction cross section of exotic nuclei, by using Glauber model,we consider that the exotic nuclei is composed of a core and valence nucleon(s), the finite range correction has been added to the Glauber model, and a Fermi density distribution with two parameters has been chosen as the input density distribution of the core of the exotic nucleus for the special distribution of the valence nucleon(s), has a large dispersion. The results of the theoretical calculation are in agreement with the experimental one for nucleus with exotic structure, both at high and intermediate energy regions. |
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| Keywords: | Glauber model total reaction cross section Fermi density distribution with two parameters |
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