66 lines
2.3 KiB
Python
66 lines
2.3 KiB
Python
import numpy
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from numpy import pi
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import gridlock
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from gridlock import XYZExtent
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from meanas.fdfd import waveguide_2d, waveguide_cyl
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from matplotlib import pyplot
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wl = 1310
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dx = 10
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radius = 25e3
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width = 400
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thf = 161
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thp = 77
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eps_si = 3.51 ** 2
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eps_ox = 1.453 ** 2
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x0 = (width / 2) % dx
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omega = 2 * pi / wl
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grid = gridlock.Grid([
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numpy.arange(-3000, 3000 + dx, dx),
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numpy.arange(-1500, 1500 + dx, dx),
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numpy.arange(-5 * dx, 5 * dx + dx, dx)],
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periodic=True,
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)
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epsilon = grid.allocate(eps_ox)
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grid.draw_cuboid(epsilon, extent=XYZExtent(xctr=x0, lx=width + 5e3, ymin=0, ymax=thf, zmin=-1e6, zmax=0), foreground=eps_si)
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grid.draw_cuboid(epsilon, extent=XYZExtent(xmax=-width / 2, lx=1.5e3, ymin=thp, ymax=1e6, zmin=-1e6, zmax=0), foreground=eps_ox)
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grid.draw_cuboid(epsilon, extent=XYZExtent(xmin= width / 2, lx=1.5e3, ymin=thp, ymax=1e6, zmin=-1e6, zmax=0), foreground=eps_ox)
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grid.draw_cuboid(epsilon, extent=XYZExtent(xmax=-(width / 2 + 2.5e3), lx=1e3, ymin=0, ymax=thf, zmin=0, zmax=1e6), foreground=eps_si)
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grid.draw_cuboid(epsilon, extent=XYZExtent(xmax= width / 2 + 2.5e3, lx=1e3, ymin=0, ymax=thf, zmin=0, zmax=1e6), foreground=eps_si)
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dxes = [grid.dxyz, grid.autoshifted_dxyz()]
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dxes_2d = [[d[0], d[1]] for d in dxes]
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mode_numbers = numpy.arange(20)
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args = dict(dxes=dxes_2d, omega=omega, mode_numbers=mode_numbers)
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eps1 = epsilon[:, :, :, 1].ravel()
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eps2 = epsilon[:, :, :, -2].ravel()
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eL_xys, wavenumbers_L = waveguide_2d.solve_modes(epsilon=eps1, **args)
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eR_xys, wavenumbers_R = waveguide_2d.solve_modes(epsilon=eps2, **args)
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eh_L = [
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waveguide_2d.normalized_fields_e(e_xy, wavenumber=wavenumber, dxes=dxes_2d, omega=omega, epsilon=eps1)
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for e_xy, wavenumber in zip(eL_xys, wavenumbers_L)]
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eh_R = [
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waveguide_2d.normalized_fields_e(e_xy, wavenumber=wavenumber, dxes=dxes_2d, omega=omega, epsilon=eps2)
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for e_xy, wavenumber in zip(eR_xys, wavenumbers_R)]
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eh_R = [
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waveguide_2d.normalized_fields_e(e_xy, wavenumber=wavenumber, dxes=dxes_2d, omega=omega, epsilon=eps2)
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for e_xy, wavenumber in zip(eR_xys, wavenumbers_R)]
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ss = waveguide_2d.get_s(eh_L, wavenumbers_L, eh_R, wavenumbers_R, dxes=dxes_2d)
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ss11 = waveguide_2d.get_s(eh_L, wavenumbers_L, eh_L, wavenumbers_L, dxes=dxes_2d)
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ss22 = waveguide_2d.get_s(eh_R, wavenumbers_R, eh_R, wavenumbers_R, dxes=dxes_2d)
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