d_prop -> dx_prop
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@ -101,28 +101,28 @@ def solve_waveguide_mode(mode_number: int,
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order = numpy.roll(range(3), 2 - axis)
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reverse_order = numpy.roll(range(3), axis - 2)
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# Find dx in propagation direction
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dxab_forward = numpy.array([dx[order[2]][slices[order[2]]] for dx in dxes])
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dx_prop = 0.5 * sum(dxab_forward)
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# Reduce to 2D and solve the 2D problem
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args_2d = {
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'dxes': [[dx[i][slices[i]] for i in order[:2]] for dx in dxes],
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'epsilon': vec([epsilon[i][slices].transpose(order) for i in order]),
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'mu': vec([mu[i][slices].transpose(order) for i in order]),
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'dx_prop': dxes[0][order[2]][slices[order[2]]],
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'dx_prop': dx_prop,
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}
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fields_2d = solve_waveguide_mode_2d(mode_number, omega=omega, **args_2d)
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'''
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Apply corrections and expand to 3D
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'''
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# Scale based on dx in propagation direction
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dxab_forward = numpy.array([dx[order[2]][slices[order[2]]] for dx in dxes])
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# Adjust for propagation direction
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fields_2d['E'][2] *= polarity
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fields_2d['H'][2] *= polarity
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# Apply phase shift to H-field
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d_prop = 0.5 * sum(dxab_forward)
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fields_2d['H'] *= numpy.exp(-polarity * 1j * 0.5 * fields_2d['wavenumber'] * d_prop)
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fields_2d['H'] *= numpy.exp(-polarity * 1j * 0.5 * fields_2d['wavenumber'] * dx_prop)
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# Expand E, H to full epsilon space we were given
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E = numpy.zeros_like(epsilon, dtype=complex)
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@ -136,7 +136,6 @@ def solve_waveguide_mode(mode_number: int,
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'H': H,
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'E': E,
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}
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return results
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