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Cleaner conductor implementation

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This commit is contained in:
jan 2016-07-03 23:56:54 -07:00
parent a3dac5c8f8
commit 8daab636ea
2 changed files with 18 additions and 22 deletions
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2
examples/test.py
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@ -178,7 +178,7 @@ def test1():
H_overlap = waveguide_mode.compute_overlap_e(**wg_args, **wg_results)
pecg = gridlock.Grid(edge_coords, initial=0.0, num_grids=3)
# pecg.draw_cuboid(center=[700, 0, 0], dimensions=[80, 1e8, 1e8], eps=1)
pecg.draw_cuboid(center=[700, 0, 0], dimensions=[80, 1e8, 1e8], eps=1)
# pecg.visualize_isosurface()
pmcg = gridlock.Grid(edge_coords, initial=0.0, num_grids=3)

38
fdfd_tools/operators.py
View File

@ -71,25 +71,23 @@ def e_full(omega: complex,
ce = curl_e(dxes)
ch = curl_h(dxes)
ev = epsilon
if numpy.any(numpy.equal(pec, None)):
pe = sparse.eye(epsilon.size)
else:
pe = sparse.diags(numpy.where(pec, 0, 1)) # Set pe to (not PEC)
ev = numpy.where(pec, 1.0, ev) # Set epsilon to 1 at PEC
if numpy.any(numpy.equal(pmc, None)):
pm = sparse.eye(epsilon.size)
else:
pm = sparse.diags(numpy.where(pmc, 0, 1)) # set pm to (not PMC)
pm = sparse.diags(numpy.where(pmc, 0, 1)) # set pm to (not PMC)
e = sparse.diags(ev)
e = sparse.diags(epsilon)
if numpy.any(numpy.equal(mu, None)):
m_div = sparse.eye(epsilon.size)
else:
m_div = sparse.diags(1 / mu)
op = pe @ ch @ pm @ m_div @ ce @ pe - omega**2 * e
op = pe @ (ch @ pm @ m_div @ ce - omega**2 * e) @ pe
return op
@ -143,26 +141,23 @@ def h_full(omega: complex,
ec = curl_e(dxes)
hc = curl_h(dxes)
if mu is None:
mv = numpy.ones_like(epsilon)
else:
mv = mu
if numpy.any(numpy.equal(pmc, None)):
pm = sparse.eye(epsilon.size)
else:
pm = sparse.diags(numpy.where(pmc, 0, 1)) # Set pe to (not PMC)
mv = numpy.where(pmc, 1.0, mv) # Set mu to 1 at PMC
if numpy.any(numpy.equal(pec, None)):
pe = sparse.eye(epsilon.size)
else:
pe = sparse.diags(numpy.where(pec, 0, 1)) # set pe to (not PEC)
e_div = sparse.diags(1 / epsilon)
m = sparse.diags(mv)
if numpy.any(numpy.equal(pmc, None)):
pm = sparse.eye(epsilon.size)
else:
pm = sparse.diags(numpy.where(pmc, 0, 1)) # Set pe to (not PMC)
A = pm @ ec @ pe @ e_div @ hc @ pm - omega**2 * m
e_div = sparse.diags(1 / epsilon)
if mu is None:
m = sparse.eye(epsilon.size)
else:
m = sparse.diags(mu)
A = pm @ (ec @ pe @ e_div @ hc - omega**2 * m) @ pm
return A
@ -197,10 +192,11 @@ def eh_full(omega, dxes, epsilon, mu=None, pec=None, pmc=None):
else:
pm = sparse.diags(numpy.where(pmc, 0, 1)) # set pm to (not PMC)
iwe = pe @ (1j * omega * sparse.diags(epsilon))
iwm = pm * 1j * omega
iwe = pe @ (1j * omega * sparse.diags(epsilon)) @ pe
iwm = 1j * omega
if not numpy.any(numpy.equal(mu, None)):
iwm *= sparse.diags(mu)
iwm = pm @ iwm @ pm
A1 = pe @ curl_h(dxes) @ pm
A2 = pm @ curl_e(dxes) @ pe