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- from scattnlay import scattnlay
- import numpy as np
- nL = 500.0
- Xmax = 60.0
- x = np.array([np.arange(1.0, nL + 1.0)*Xmax/nL], dtype = np.float64)
- m = np.array([np.sqrt((2.0 - ((x[0] - 0.5*Xmax/nL)/60.0)**2.0)) + 0.0j], dtype = np.complex128)
- theta = np.arange(0.0, 180.25, 0.25, dtype = np.float64)*np.pi/180.0
- terms, Qext, Qsca, Qabs, Qbk, Qpr, g, Albedo, S1, S2 = scattnlay(x, m, theta)
- S11 = S1[0].real*S1[0].real + S1[0].imag*S1[0].imag + S2[0].real*S2[0].real + S2[0].imag*S2[0].imag
- result = np.vstack((theta*180.0/np.pi, S11/(2.0*Xmax*Xmax), np.cos(theta))).transpose()
- try:
- import matplotlib.pyplot as plt
- plt.plot(result[ : , 0], result[ : , 1], 'k', result[ : , 0], result[ : , 2], 'r')
- ax = plt.gca()
- ax.set_yscale('log')
- ax.set_ylim(1e-4, 1e3)
- plt.xlabel('Theta')
- plt.draw()
- plt.show()
- finally:
- np.savetxt("test04.txt", result, fmt = "%.5f")
- print result
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