dipole-on-surf/efficiency-plasmon-plot.py

#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
import numpy as np
import matplotlib.pyplot as plt
file_ext="pdf"
#dirname="Si-sphere-step2.5-dipole"

#distance = [100,200,400,800,1200,1600,2000]
#dirname="Si-sphere-step5-dipole-far"

# distance = [1,2,3,4,5,6,7,8,9,10]
# dirname="Si-sphere-step5-dipole-far-long"

distance = [2,4,6,8,10,12,14,16,18,20,22]
dirname="Si-sphere-step5-dipole-far-long22"

data = []

for i in distance:
#    print(i, dirname+"/d%i.txt"%i)
    data.append(
        np.transpose(
            np.loadtxt(dirname+"/r%i.txt"%i, delimiter=", ",skiprows=3)
        )#[-2]
    )


for i in range(len(distance)):
    R = distance[i]
    print(R)
    plt.semilogy(data[i][0,:], data[i][1,:]*np.sqrt(R))
plt.xlabel(r'$\lambda$, nm')
plt.ylabel(r'$Abs(E_x) \sqrt{R}$')
plt.savefig(dirname+"_plot."+file_ext)
plt.clf()

WLs=[300,350,400,450,600,700,800]
#WLs=[300,350,400,450,600,700]

def find_nearest(array,value):
    idx = (np.abs(array-value)).argmin()
    return array[idx],idx

WLs_idx = []
for wl in WLs:
    val, idx = find_nearest(data[0][0,:],wl/1000)
    WLs_idx.append(idx)
#    print(val,idx, " --> ", data[0][0,idx])


legend = []
for i in range(len(WLs)):
    pl_data = []
    idx = WLs_idx[i]
    legend.append(str(WLs[i])+" nm")
    for point in range(len(distance)):
        R = distance[point]
        pl_data.append(data[point][1,idx]*np.sqrt(R))
    plt.semilogy(distance, pl_data,marker="o")
plt.legend(legend)
# #plt.xlabel(r'THz')
plt.xlabel(r'Monitor R, $\mu$m')
plt.ylabel(r'$Abs(E_x) \sqrt{R}$',labelpad=-5)
# plt.title(' r = '+str(core_r))
plt.savefig(dirname+"_WLs."+file_ext)
plt.clf()
plt.close()