python 画能级图
2021/10/31 11:39:36
本文主要是介绍python 画能级图,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!
核结构经常要画能级图,所以记一下这个代码吧。
# plt 绘制 energy 中的能级,按照 0+,2+,4+,6+,8+,... 的顺序,画在 xleft 处, # 如果 flaglabel == True, 则把 0+, 2+, ..., 画在 xlabel 处。 def EnergyLevels( plt, xleft, xlabel, energy, flaglabel ): for i in range(len(energy)): t = energy[i] plt.quiver(xleft, t, 1, 0, width = 0.003, scale=0.5, headwidth=0, scale_units='x') if flaglabel : plt.text(xlabel, t, '%d$^+$' % (2 * i), fontsize=12) plt.figure(figsize=(10,4.8)) plt.cla(); ax = plt.axes() plt.xticks([]); plt.axis(xmin = -1, xmax = 24, ymin = -3, ymax = 15) ax.spines['top'].set_visible(False); ax.spines['bottom'].set_visible(False) plt.ylabel("$E_x$ (MeV)", fontsize = 15) # Zn60 data J = [ 0, 2, 4, 6, 8, 10, 12 ] PVPC = [ -252.446, -251.649, -250.055, -248.382, -246.383, -243.103, -239.464 ] # lineartol = 1E-3 PVPC_Ex = np.array(PVPC) - (-252.446) PHF = [ -252.260, -251.489, -249.935, -248.372, -246.490, -243.147, -239.665 ] PHF_Ex = np.array(PHF) - (-252.260) SM = [ -254.71978, -253.66814, -252.57132, -251.15156 ] SM_Ex = np.array(SM) - (-254.71978) EXP_Ex = [ 0, 1.004, 2.193, 3.808, 5.292, 8.476, 12.132 ] # plot Zn60 xleft = 1; xlabel = -0.3; EnergyLevels(plt, xleft, xlabel, EXP_Ex, True ) plt.text(xleft, -1, "Expt.", fontsize=12 ) # EXP xleft = 3; xlabel = 3.7; EnergyLevels(plt, xleft, xlabel, SM_Ex, False) plt.text(xleft, -1, "SM", fontsize=12 ) # SM xleft = 5; xlabel = 5.7; EnergyLevels(plt, xleft, xlabel, PVPC_Ex, False ) plt.text(xleft, -1, "PVPC", fontsize=12 ) # PVPC xleft = 7; xlabel = 7.7; EnergyLevels(plt, xleft, xlabel, PHF_Ex, False) plt.text(xleft, -1, "PHF", fontsize=12 ) # PHF plt.text(4, -2.5, "$^{60}Zn$", fontsize = 15) plt.show()
类似地,再画上 Zn62, Zn64 的能级,得到如下图片:
这篇关于python 画能级图的文章就介绍到这儿,希望我们推荐的文章对大家有所帮助,也希望大家多多支持为之网!
- 2024-11-30Python中''') 是什么?-icode9专业技术文章分享
- 2024-11-26Python基础编程
- 2024-11-25Python编程基础:变量与类型
- 2024-11-25Python编程基础与实践
- 2024-11-24Python编程基础详解
- 2024-11-21Python编程基础教程
- 2024-11-20Python编程基础与实践
- 2024-11-20Python编程基础与高级应用
- 2024-11-19Python 基础编程教程
- 2024-11-19Python基础入门教程