fixup cylindrical wg example
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@ -3,7 +3,7 @@ import numpy
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from numpy.linalg import norm
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from meanas.fdmath import vec, unvec
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from meanas.fdfd import waveguide_mode, functional, scpml
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from meanas.fdfd import waveguide_cyl, functional, scpml
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from meanas.fdfd.solvers import generic as generic_solver
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import gridlock
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@ -44,22 +44,27 @@ def test1(solver=generic_solver):
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# #### Create the grid and draw the device ####
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grid = gridlock.Grid(edge_coords)
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epsilon = grid.allocate(n_air**2, dtype=numpy.float32)
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grid.draw_cuboid(epsilon, center=center, dimensions=[8e3, w, th], eps=n_wg**2)
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grid.draw_cuboid(epsilon, center=center, dimensions=[8e3, w, th], foreground=n_wg**2)
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dxes = [grid.dxyz, grid.autoshifted_dxyz()]
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for a in (1, 2):
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for p in (-1, 1):
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dxes = scmpl.stretch_with_scpml(dxes, omega=omega, axis=a, polarity=p,
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thickness=pml_thickness)
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dxes = scpml.stretch_with_scpml(
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dxes,
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omega=omega,
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axis=a,
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polarity=p,
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thickness=pml_thickness,
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)
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wg_args = {
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'omega': omega,
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'dxes': [(d[1], d[2]) for d in dxes],
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'epsilon': vec(g.transpose([1, 2, 0]) for g in epsilon),
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'epsilon': vec(epsilon.transpose([0, 2, 3, 1])),
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'r0': r0,
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}
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wg_results = waveguide_mode.solve_waveguide_mode_cylindrical(mode_number=0, **wg_args)
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wg_results = waveguide_cyl.solve_mode(mode_number=0, **wg_args)
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E = wg_results['E']
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@ -70,20 +75,17 @@ def test1(solver=generic_solver):
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'''
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Plot results
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'''
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def pcolor(v):
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def pcolor(fig, ax, v, title):
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vmax = numpy.max(numpy.abs(v))
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pyplot.pcolor(v.T, cmap='seismic', vmin=-vmax, vmax=vmax)
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pyplot.axis('equal')
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pyplot.colorbar()
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mappable = ax.pcolormesh(v.T, cmap='seismic', vmin=-vmax, vmax=vmax)
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ax.set_aspect('equal', adjustable='box')
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ax.set_title(title)
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ax.figure.colorbar(mappable)
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pyplot.figure()
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pyplot.subplot(2, 2, 1)
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pcolor(numpy.real(E[0][:, :]))
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pyplot.subplot(2, 2, 2)
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pcolor(numpy.real(E[1][:, :]))
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pyplot.subplot(2, 2, 3)
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pcolor(numpy.real(E[2][:, :]))
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pyplot.subplot(2, 2, 4)
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fig, axes = pyplot.subplots(2, 2)
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pcolor(fig, axes[0][0], numpy.real(E[0]), 'Ex')
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pcolor(fig, axes[0][1], numpy.real(E[1]), 'Ey')
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pcolor(fig, axes[1][0], numpy.real(E[2]), 'Ez')
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pyplot.show()
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