Fix waveguide source computation for different polarities etc.
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@ -101,6 +101,8 @@ def solve_waveguide_mode(mode_number: int,
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if mu is None:
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mu = [numpy.ones_like(epsilon[0])] * 3
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slices = tuple(slices)
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'''
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Solve the 2D problem in the specified plane
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'''
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@ -183,23 +185,23 @@ def compute_source(E: field_t,
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J = [None]*3
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M = [None]*3
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src_order = numpy.roll(range(3), axis)
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src_order = numpy.roll(range(3), -axis)
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exp_iphi = numpy.exp(1j * polarity * wavenumber * dxes[1][axis][slices[axis]])
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J[src_order[0]] = numpy.zeros_like(E[0])
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J[src_order[1]] = +exp_iphi * H[src_order[2]] * polarity
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J[src_order[2]] = -exp_iphi * H[src_order[1]] * polarity
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rollby = -1 if polarity > 0 else 0
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M[src_order[0]] = numpy.zeros_like(E[0])
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M[src_order[1]] = +numpy.roll(E[src_order[2]], -1, axis=axis)
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M[src_order[2]] = -numpy.roll(E[src_order[1]], -1, axis=axis)
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M[src_order[1]] = +numpy.roll(E[src_order[2]], rollby, axis=axis)
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M[src_order[2]] = -numpy.roll(E[src_order[1]], rollby, axis=axis)
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A1f = functional.curl_h(dxes)
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m2j = functional.m2j(omega, dxes, mu)
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Jm = m2j(M)
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Jm_iw = A1f([M[k] / mu[k] for k in range(3)])
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for k in range(3):
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J[k] += Jm_iw[k] / (-1j * omega)
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Jtot = [ji + jmi for ji, jmi in zip(J, Jm)]
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return J
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return Jtot
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def compute_overlap_e(E: field_t,
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