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- #!/usr/bin/env python
- # -*- coding: UTF-8 -*-
- #
- # Copyright (C) 2009-2015 Ovidio Peña Rodríguez <ovidio@bytesfall.com>
- #
- # This file is part of python-scattnlay
- #
- # This program is free software: you can redistribute it and/or modify
- # it under the terms of the GNU General Public License as published by
- # the Free Software Foundation, either version 3 of the License, or
- # (at your option) any later version.
- #
- # This program is distributed in the hope that it will be useful,
- # but WITHOUT ANY WARRANTY; without even the implied warranty of
- # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
- # GNU General Public License for more details.
- #
- # The only additional remark is that we expect that all publications
- # describing work using this software, or all commercial products
- # using it, cite the following reference:
- # [1] O. Pena and U. Pal, "Scattering of electromagnetic radiation by
- # a multilayered sphere," Computer Physics Communications,
- # vol. 180, Nov. 2009, pp. 2348-2354.
- #
- # You should have received a copy of the GNU General Public License
- # along with this program. If not, see <http://www.gnu.org/licenses/>.
- # This test case calculates the differential scattering
- # cross section from a Luneburg lens, as described in:
- # B. R. Johnson, Applied Optics 35 (1996) 3286-3296.
- # The Luneburg lens is a sphere of radius a, with a
- # radially-varying index of refraction, given by:
- # m(r) = [2 - (r/a)**1]**(1/2)
- # For the calculations, the Luneburg lens was approximated
- # as a multilayered sphere with 500 equally spaced layers.
- # The refractive index of each layer is defined to be equal to
- # m(r) at the midpoint of the layer: ml = [2 - (xm/xL)**1]**(1/2),
- # with xm = (xl-1 + xl)/2, for l = 1,2,...,L. The size
- # parameter in the lth layer is xl = l*xL/500. According to
- # geometrical optics theory, the differential cross section
- # can be expressed as:
- # d(Csca)/d(a**2*Omega) = cos(Theta)
- # The differential cross section from wave optics is:
- # d(Csca)/d(a**2*Omega) = S11(Theta)/x**2
- 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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