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- #!/usr/bin/env python3
- # -*- coding: UTF-8 -*-
- from cProfile import label
- from matplotlib import markers, pyplot as plt
- import numpy as np
- from scipy import interpolate
- import scipy.io
- mat = scipy.io.loadmat('d-parameters/rs=4.mat')
- x_mat = mat['omegav'][0]
- d_perp_mat = mat['dperp'][0]*10
- x = np.linspace(x_mat[0], x_mat[-1], 1001)
- im_d_y = interpolate.interp1d(x_mat, np.imag(d_perp_mat), kind='cubic')
- re_d_y = interpolate.interp1d(x_mat, np.real(d_perp_mat))
- data = np.array([x.T, re_d_y(x).T, im_d_y(x).T])
- np.savetxt('rs4-d_perp_interpolated.txt', data)
- mat = scipy.io.loadmat('d-parameters/silver_xd_1.18A.mat')
- x_mat = mat['omegav'][0]
- d_perp_mat = mat['dperp'][0]*10
- d_parl_mat = mat['dparl'][0]*10
- x = np.linspace(x_mat[0], x_mat[-1], 1001)
- kind = 'linear'
- im_d_y = interpolate.interp1d(x_mat, np.imag(d_perp_mat), kind=kind)
- re_d_y = interpolate.interp1d(x_mat, np.real(d_perp_mat))
- data = np.array([x.T, re_d_y(x).T, im_d_y(x).T])
- np.savetxt('silver-d_perp_interpolated.txt', data)
- im_d_y = interpolate.interp1d(x_mat, np.imag(d_parl_mat), kind=kind)
- re_d_y = interpolate.interp1d(x_mat, np.real(d_parl_mat))
- data = np.array([x.T, re_d_y(x).T, im_d_y(x).T])
- np.savetxt('silver-d_parl_interpolated.txt', data)
- from_disk = np.loadtxt('rs4-d_perp_interpolated.txt')
- plt.figure('rs4')
- plt.plot(from_disk[0, :], from_disk[1, :], label='re d')
- plt.plot(from_disk[0, :], from_disk[2, :], label='im d')
- plt.plot(x_mat, np.real(d_perp_mat), label='re d mat')
- plt.plot(x_mat, np.imag(d_perp_mat), label='re d mat')
- plt.legend()
- plt.show()
- from_disk = np.loadtxt('silver-d_perp_interpolated.txt')
- plt.figure('silver')
- plt.plot(from_disk[0, :], from_disk[1, :], label='re d perp')
- plt.plot(from_disk[0, :], from_disk[2, :], label='im d perp')
- from_disk = np.loadtxt('silver-d_parl_interpolated.txt')
- plt.plot(from_disk[0, :], from_disk[1, :], label='re d parl')
- plt.plot(from_disk[0, :], from_disk[2, :], label='im d parl')
- plt.legend()
- plt.show()
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