首页> 外文会议>Communication Software and Networks, 2010. ICCSN '10 >Exploration of High-Dimensional Nuclei Data
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Exploration of High-Dimensional Nuclei Data

机译:高维核数据的探索

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Density Functional Theory (DFT) provides the theoretical foundation for a self-consistent mean-field description of the nucleus in terms of one-body densities and currents. The idea is to construct a functional whose input is the proton and neutron densities and currents, and whose output yields the ground-state energy and other properties of the nucleus. Extensive computations of ground-state energies and other observable properties of several thousand nuclei are required in order to find a universal functional that covers the entire chart of nuclei. The analysis looks for hidden relationships between observables to determine a functional that can reliably predict nuclear properties in regions where no experimental data exist. Using methods for dimension reduction and visualization tools, it is hypothesized that the deformation of the neutrons is related to other characteristics of the nuclei. The discovered relationships with the deformation of the neutrons take us a step closer toward the universal functional.
机译:密度泛函理论(DFT)为以单体密度和电流表示原子核的自洽平均场描述提供了理论基础。这个想法是要构造一个函数,该函数的输入为质子和中子的密度和电流,其输出为基态能量和原子核的其他性质。为了找到覆盖整个核图的通用函数,需要对基态能量和数千个核的其他可观察特性进行大量计算。该分析寻找可观察物之间的隐藏关系,以确定可以可靠地预测不存在实验数据的区域中核特性的功能。假设使用降维和可视化工具的方法,中子的变形与原子核的其他特征有关。发现的与中子变形的关系使我们向通用功能迈进了一步。

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