中文摘要：

结合原子核电荷半径实验数据,对885个中子数N〉8和质子数Z 〉8的核电荷半径做了系统的研究.对于单参数核电荷半径公式, Z 1/3律公式计算的结果优于A1/3律的结果,而对于两参数和三参数公式, Z 1/3律和A1/3律的结果基本相当.考虑到壳效应及奇偶摆动现象,在原有的三参数公式基础上提出了加入Casten因子项和δ项的核电荷半径新公式.利用该公式计算得到的核电荷半径理论值和实验值符合得非常好,均方根偏差仅为σ=0.0266 fm,此值比常用的三参数公式的结果下降了近50%,理论计算值能更好地反映出壳效应及核电荷半径奇偶摆动的变化趋势.

英文摘要：

Experimental nuclear charge radii for 885 nuclei with N 〉 8 and Z〉 8 have been systematically investigated. Results show that the formula for single parameter Z1/3 law is superior to that for the A1/3 law in describing nuclear charge radii. For two-parameter and three-parameter formulae, the Z1/3 law is as good as the A1/3 law. Considering the importance of shell effect and deformations for nuclear charge radii, we add a term including the Casten factor P into the conventional three-parameter formula and thus obtain very good results. The corresponding root-mean-square deviation falls toσ=0.0273 fm, i.e. reduced by about 50%when compared with the result obtained with the old three-parameter formula. Shell effect can be well reproduced for some elements by adding the Casten factor term. It is shown that the Casten factor plays a key role for nuclear charge radii. The odd-even staggering is a common phenomenon in many nuclear fields. This phenomenon can be observed with nuclear charge radii for most elements. For this reason, we add a δ term into the formula （10） in this paper. The root-mean-square deviation falls to σ=0.0266 fm. A five-parameter formula can well reproduce the variation of the nuclear charge radii for most elements. Calculated results are well consistent with the experimental data available. The differences between the experimental nuclear charge radii and the results calculated using the conventional three-parameter formula and the present five-parameter formula for the 885 selected nuclei are presented. A comparison of the formulae mentioned in this paper is given. The present five-parameter formula including the Casten factor P and the odd-even staggering is the best formula to fit available RC data and gives the smallest root-mean-square deviationσ. Our calculated results may be useful for future experiments.