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+#!/usr/bin/env python3
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+# -*- coding: UTF-8 -*-
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+import numpy as np
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+import matplotlib.pyplot as plt
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+import os
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+c = 299792458.0
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+eps_0 = 8.854187817e-12 # F/m
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+pi = np.pi
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+verbose = 6
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+# r of monitor
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+r = 146.513e-9
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+debug = True
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+def read_data(dirname):
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+ data = {}
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+ WLs = []
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+ for r,d,f in os.walk(dirname):
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+ for fname in f:
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+ WLs.append(fname)
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+ for fname in WLs:
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+ fdata = np.transpose(
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+ np.genfromtxt(dirname+"/"+fname, delimiter=", ",skip_header=1
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+ ,dtype=None, encoding = None
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+ , converters={0: lambda s: complex(s),
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+ 1: lambda s: complex(s),
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+ 2: lambda s: complex(s.replace('i', 'j')),
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+ 3: lambda s: complex(s.replace('i', 'j')),
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+ 4: lambda s: complex(s.replace('i', 'j')),
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+ 5: lambda s: complex(s.replace('i', 'j')),
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+ 6: lambda s: complex(s.replace('i', 'j')),
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+ 7: lambda s: complex(s.replace('i', 'j')),
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+ 8: lambda s: complex(s.replace('i', 'j'))
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+ }
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+ )
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+ )
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+ data[float(fname[2:-4])]=fdata
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+ if debug: break
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+ return data
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+
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+
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+def find_nearest(array,value):
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+ idx = (np.abs(array-value)).argmin()
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+ return array[idx],idx
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+
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+
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+def get_WLs_idx(WLs, data):
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+ dist = 1 #mkm
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+ mmedia = 1 # vacuum
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+ shift = 1 # one mesh step
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+ WLs_idx = []
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+ for wl in WLs:
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+ val, idx = find_nearest(data[dist][mmedia][shift][0,:],wl*1e-9)
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+ WLs_idx.append(idx)
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+ return WLs_idx
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+
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+
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+# def check_field_match(data_in_air, data_in_gold,wl_idx,z_vec,kappa1,kappa2,eps2):
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+# z = z_vec[i]*1e-9
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+# if verbose > 8: print("z =",z)
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+# H1_0 = H1[i]/np.exp(-kappa1[wl_idx]*z)
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+# H2_0 = H2[i]/np.exp(-kappa2[wl_idx]*z)
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+# E1_0 = E1[i]/np.exp(-kappa1[wl_idx]*z)
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+# E2_0 = E2[i]/np.exp(-kappa2[wl_idx]*z)
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+# E2_0e = E2[i]/np.exp(-kappa2[wl_idx]*z)*eps2[wl_idx]
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+# if verbose > 8:
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+# print("H0 air (%5.4g %+5.4gj)"%(np.real(H1_0), np.imag(H1_0)),
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+# " from H1 (%5.4g %+5.4gj)"%(np.real(H1[i]), np.imag(H1[i])))
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+
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+
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+def analyze(data,wl):
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+ # print(data[0,:]) # all z values
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+ #data = "z, dip.power, Ex, Ey, Ez, Hx, Hy, Hz, n_Au"
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+ # 0, 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 "
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+ lambd = wl
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+ omega = 2*pi*c/lambd
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+
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+ eps_d = complex(1) # air, z>0
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+ eps_m = data[8,0]**2 # metal, z<0
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+
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+ dip_power = data[1,0]
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+
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+ z = data[0,:]
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+
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+ idx_d = np.nonzero(z>1e-10)
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+ idx_0 = np.nonzero(np.logical_and(z<=1e-10, z>=-1e-10))
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+ idx_m = np.nonzero(z<-1e-10)
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+
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+ z_d = z[idx_d]
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+ z_0 = z[idx_0]
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+ z_m = z[idx_m]
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+
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+ if (not np.array_equal(np.hstack((z_m, z_0, z_d)), z)):
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+ print("ERROR! loosing z values!")
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+ raise
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+
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+
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+ Ex = data[2,:]
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+
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+ Ex_m = data[2,idx_m][0]
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+ Ey_m = data[3,idx_m][0]
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+ Ez_m = data[4,idx_m][0]
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+ Hx_m = data[5,idx_m][0]
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+ Hy_m = data[6,idx_m][0]
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+ Hz_m = data[7,idx_m][0]
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+ E_m = np.array([Ex_m,Ey_m,Ez_m])
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+ H_m = np.array([Hx_m,Hy_m,Hz_m])
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+
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+ Ex_d = data[2,idx_d][0]
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+ Ey_d = data[3,idx_d][0]
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+ Ez_d = data[4,idx_d][0]
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+ Hx_d = data[5,idx_d][0]
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+ Hy_d = data[6,idx_d][0]
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+ Hz_d = data[7,idx_d][0]
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+ E_d = np.array([Ex_d,Ey_d,Ez_d])
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+ H_d = np.array([Hx_d,Hy_d,Hz_d])
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+
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+ k_0 = omega/c #air
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+ k_sp = k_0*np.sqrt(eps_d*eps_m/(eps_d+eps_m)) # eq5, supmat
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+
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+ chi_d = np.sqrt( eps_d*k_0**2 - k_sp**2 ) # desc. after eq6c, supmat
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+ chi_m = np.sqrt( eps_m*k_0**2 - k_sp**2 ) # desc. after eq6c, supmat
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+
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+ h_sp_d = np.exp(1j*chi_d*z_d) # eq6a, supmat
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+ e_sp_x_d = chi_d/(omega*eps_0*eps_d)*np.exp(1j*chi_d*z_d) # eq6b, supmat
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+ e_sp_z_d = k_sp/(omega*eps_0*eps_d)*np.exp(1j*chi_d*z_d) # eq6c, supmat
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+
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+ h_sp_m = np.exp(1j*-chi_m*z_m) # eq6a, supmat
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+ e_sp_x_m = -chi_m/(omega*eps_0*eps_m)*np.exp(1j*-chi_m*z_m) # eq6b, supmat
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+ e_sp_z_m = k_sp/(omega*eps_0*eps_m)*np.exp(1j*-chi_m*z_m) # eq6c, supmat
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+
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+ if verbose > 5:
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+ print("r =",r)
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+
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+ # print("S from full field",np.real(np.cross(E,np.conj(H))))
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+
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+ # print("H0 air (%5.4g %+5.4gj)"%(np.real(H1_0[wl_idx]), np.imag(H1_0[wl_idx])),
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+ # " from H1 (%5.4g %+5.4gj)"%(np.real(H1[0][wl_idx]), np.imag(H1[0][wl_idx])))
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+ # #plasmon_power = 1.0/2.0 * np.real( E1[0] * np.conj(H1[0])) # TODO check minus sign!!
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+ # plasmon_power = -1.0/2.0 * 2.0*np.pi*R * ( # TODO check minus sign!!
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+ # np.real( E1_0 * np.conj(H1_0) )
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+ # / (2.0 * np.real(kappa1))
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+ # +
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+ # np.real( E2_0 * np.conj(H1_0) )
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+ # / (2.0 * np.real(kappa2))
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+ # )* np.exp( 2.0*np.imag(k_spp)*R ) # TODO check minus sign!!
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+ # #print(np.abs(plasmon_power/ dip_power))
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+ # eta0 = plasmon_power[0]/ dip_power[0] *100
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+ # ppw = plasmon_power[0]
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+ # print("\n")
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+ # print(dirname)
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+ # print("Power: plasmon %4.3g W of dipoles %4.3g W, efficiency %5.3g%% from:"%(ppw, float(np.abs(dip_power[0])),float(np.abs( eta0))), ppw, eta0)
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+ # plt.plot(lambd*1e9, plasmon_power/ dip_power)
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+ # plt.ylim(0,0.04)
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+ # plt.xlim(550,800)
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+
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+ # #plt.plot(lambd*1e9, np.real(eps2))
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+ # # plt.plot(lambd*1e9, np.real(k_spp))
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+ # # plt.plot(lambd*1e9, k_0)
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+ # #plt.semilogy(lambd*1e9, np.absolute(plasmon_power/ dip_power))
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+ # # # legend = []
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+ # # # legend.append(zshift[shift]+"@"+str(WLs[i])+" nm")
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+ # # # plt.legend(legend)
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+ # # # #plt.xlabel(r'THz')
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+ # plt.xlabel(r'$\lambda$, nm')
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+ # plt.ylabel(r'$P_{spp}/P_{dipole}$',labelpad=-5)
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+ # #plt.title(' R = '+str(core_r)+' nm')
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+ # plt.savefig(dirname+"_power_ratio."+file_ext)
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+ # plt.clf()
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+ # plt.close()
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+
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+file_ext="pdf"
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+
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+dirname="bigourdan-Au-sub-Cyl-dipole-W.fsp.1D.monitor_1.results"
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+
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+def main ():
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+ data = read_data(dirname)
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+ for wl in data:
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+ analyze(data[wl],wl)
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+
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+
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+main()
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