v -> e_xy for cylindrical mode result
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@ -280,14 +280,14 @@ def solve_waveguide_mode_cylindrical(mode_number: int,
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A_r = waveguide.cylindrical_operator(numpy.real(omega), dxes_real, numpy.real(epsilon), r0)
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A_r = waveguide.cylindrical_operator(numpy.real(omega), dxes_real, numpy.real(epsilon), r0)
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eigvals, eigvecs = signed_eigensolve(A_r, mode_number + 3)
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eigvals, eigvecs = signed_eigensolve(A_r, mode_number + 3)
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v = eigvecs[:, -(mode_number+1)]
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e_xy = eigvecs[:, -(mode_number+1)]
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'''
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'''
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Now solve for the eigenvector of the full operator, using the real operator's
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Now solve for the eigenvector of the full operator, using the real operator's
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eigenvector as an initial guess for Rayleigh quotient iteration.
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eigenvector as an initial guess for Rayleigh quotient iteration.
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'''
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'''
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A = waveguide.cylindrical_operator(omega, dxes, epsilon, r0)
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A = waveguide.cylindrical_operator(omega, dxes, epsilon, r0)
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eigval, v = rayleigh_quotient_iteration(A, v)
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eigval, e_xy = rayleigh_quotient_iteration(A, e_xy)
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# Calculate the wave-vector (force the real part to be positive)
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# Calculate the wave-vector (force the real part to be positive)
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wavenumber = numpy.sqrt(eigval)
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wavenumber = numpy.sqrt(eigval)
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@ -296,10 +296,10 @@ def solve_waveguide_mode_cylindrical(mode_number: int,
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# TODO: Perform correction on wavenumber to account for numerical dispersion.
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# TODO: Perform correction on wavenumber to account for numerical dispersion.
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shape = [d.size for d in dxes[0]]
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shape = [d.size for d in dxes[0]]
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v = numpy.hstack((v, numpy.zeros(shape[0] * shape[1])))
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e_xy = numpy.hstack((e_xy, numpy.zeros(shape[0] * shape[1])))
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fields = {
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fields = {
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'wavenumber': wavenumber,
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'wavenumber': wavenumber,
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'E': unvec(v, shape),
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'E': unvec(e_xy, shape),
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# 'E': unvec(e, shape),
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# 'E': unvec(e, shape),
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# 'H': unvec(h, shape),
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# 'H': unvec(h, shape),
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}
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}
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