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Add e2h PMC arg, and clarify comments

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jan 2016-07-03 16:55:51 -07:00
parent e288e59021
commit a3dac5c8f8
1 changed files with 13 additions and 0 deletions
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fdfd_tools/operators.py
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@ -62,8 +62,10 @@ def e_full(omega: complex,
:param mu: Vectorized magnetic permeability (default 1 everywhere).
:param pec: Vectorized mask specifying PEC cells. Any cells where pec != 0 are interpreted
as containing a perfect electrical conductor (PEC).
The PEC is applied per-field-component (ie, pec.size == epsilon.size)
:param pmc: Vectorized mask specifying PMC cells. Any cells where pmc != 0 are interpreted
as containing a perfect magnetic conductor (PMC).
The PMC is applied per-field-component (ie, pmc.size == epsilon.size)
:return: Sparse matrix containing the wave operator
"""
ce = curl_e(dxes)
@ -132,8 +134,10 @@ def h_full(omega: complex,
:param mu: Vectorized magnetic permeability (default 1 everywhere)
:param pec: Vectorized mask specifying PEC cells. Any cells where pec != 0 are interpreted
as containing a perfect electrical conductor (PEC).
The PEC is applied per-field-component (ie, pec.size == epsilon.size)
:param pmc: Vectorized mask specifying PMC cells. Any cells where pmc != 0 are interpreted
as containing a perfect magnetic conductor (PMC).
The PMC is applied per-field-component (ie, pmc.size == epsilon.size)
:return: Sparse matrix containing the wave operator
"""
ec = curl_e(dxes)
@ -177,8 +181,10 @@ def eh_full(omega, dxes, epsilon, mu=None, pec=None, pmc=None):
:param mu: Vectorized magnetic permeability (default 1 everywhere)
:param pec: Vectorized mask specifying PEC cells. Any cells where pec != 0 are interpreted
as containing a perfect electrical conductor (PEC).
The PEC is applied per-field-component (ie, pec.size == epsilon.size)
:param pmc: Vectorized mask specifying PMC cells. Any cells where pmc != 0 are interpreted
as containing a perfect magnetic conductor (PMC).
The PMC is applied per-field-component (ie, pmc.size == epsilon.size)
:return: Sparse matrix containing the wave operator
"""
if numpy.any(numpy.equal(pec, None)):
@ -227,6 +233,7 @@ def curl_e(dxes: dx_lists_t) -> sparse.spmatrix:
def e2h(omega: complex,
dxes: dx_lists_t,
mu: vfield_t = None,
pmc: vfield_t = None,
) -> sparse.spmatrix:
"""
Utility operator for converting the E field into the H field.
@ -235,6 +242,9 @@ def e2h(omega: complex,
:param omega: Angular frequency of the simulation
:param dxes: Grid parameters [dx_e, dx_h] as described in fdfd_tools.operators header
:param mu: Vectorized magnetic permeability (default 1 everywhere)
:param pmc: Vectorized mask specifying PMC cells. Any cells where pmc != 0 are interpreted
as containing a perfect magnetic conductor (PMC).
The PMC is applied per-field-component (ie, pmc.size == epsilon.size)
:return: Sparse matrix for converting E to H
"""
op = curl_e(dxes) / (-1j * omega)
@ -242,6 +252,9 @@ def e2h(omega: complex,
if not numpy.any(numpy.equal(mu, None)):
op = sparse.diags(1 / mu) @ op
if not numpy.any(numpy.equal(pmc, None)):
op = sparse.diags(numpy.where(pmc, 0, 1)) @ op
return op