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further fdfd_tools->meanas updates

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This commit is contained in:
Jan Petykiewicz 2019-08-04 14:13:51 -07:00
parent f61bcf3dfa
commit 94ff3f7853
5 changed files with 23 additions and 26 deletions
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4
examples/bloch.py
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@ -1,5 +1,5 @@
import numpy, scipy, gridlock, fdfd_tools import numpy, scipy, gridlock, meanas
from fdfd_tools import bloch from meanas.fdfd import bloch
from numpy.linalg import norm from numpy.linalg import norm
import logging import logging
from pathlib import Path from pathlib import Path

23
examples/fdfd.py
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@ -2,11 +2,10 @@ import importlib
import numpy import numpy
from numpy.linalg import norm from numpy.linalg import norm
from fdfd_tools import vec, unvec, waveguide_mode import meanas
import fdfd_tools from meanas import vec, unvec
import fdfd_tools.functional from meanas.fdfd import waveguide_mode, functional, scpml
import fdfd_tools.grid from meanas.fdfd.solvers import generic as generic_solver
from fdfd_tools.solvers import generic as generic_solver
import gridlock import gridlock
@ -57,7 +56,7 @@ def test0(solver=generic_solver):
dxes = [grid.dxyz, grid.autoshifted_dxyz()] dxes = [grid.dxyz, grid.autoshifted_dxyz()]
for a in (0, 1, 2): for a in (0, 1, 2):
for p in (-1, 1): for p in (-1, 1):
dxes = fdfd_tools.grid.stretch_with_scpml(dxes, axis=a, polarity=p, omega=omega, dxes = meanas.scpml.stretch_with_scpml(dxes, axis=a, polarity=p, omega=omega,
thickness=pml_thickness) thickness=pml_thickness)
J = [numpy.zeros_like(grid.grids[0], dtype=complex) for _ in range(3)] J = [numpy.zeros_like(grid.grids[0], dtype=complex) for _ in range(3)]
@ -68,7 +67,7 @@ def test0(solver=generic_solver):
''' '''
x = solver(J=vec(J), **sim_args) x = solver(J=vec(J), **sim_args)
A = fdfd_tools.functional.e_full(omega, dxes, vec(grid.grids)).tocsr() A = functional.e_full(omega, dxes, vec(grid.grids)).tocsr()
b = -1j * omega * vec(J) b = -1j * omega * vec(J)
print('Norm of the residual is ', norm(A @ x - b)) print('Norm of the residual is ', norm(A @ x - b))
@ -113,7 +112,7 @@ def test1(solver=generic_solver):
dxes = [grid.dxyz, grid.autoshifted_dxyz()] dxes = [grid.dxyz, grid.autoshifted_dxyz()]
for a in (0, 1, 2): for a in (0, 1, 2):
for p in (-1, 1): for p in (-1, 1):
dxes = fdfd_tools.grid.stretch_with_scpml(dxes,omega=omega, axis=a, polarity=p, dxes = scpml.stretch_with_scpml(dxes,omega=omega, axis=a, polarity=p,
thickness=pml_thickness) thickness=pml_thickness)
half_dims = numpy.array([10, 20, 15]) * dx half_dims = numpy.array([10, 20, 15]) * dx
@ -155,7 +154,7 @@ def test1(solver=generic_solver):
x = solver(J=vec(J), **sim_args) x = solver(J=vec(J), **sim_args)
b = -1j * omega * vec(J) b = -1j * omega * vec(J)
A = fdfd_tools.operators.e_full(**sim_args).tocsr() A = operators.e_full(**sim_args).tocsr()
print('Norm of the residual is ', norm(A @ x - b)) print('Norm of the residual is ', norm(A @ x - b))
E = unvec(x, grid.shape) E = unvec(x, grid.shape)
@ -181,9 +180,9 @@ def test1(solver=generic_solver):
def poyntings(E): def poyntings(E):
e = vec(E) e = vec(E)
h = fdfd_tools.operators.e2h(omega, dxes) @ e h = operators.e2h(omega, dxes) @ e
cross1 = fdfd_tools.operators.poynting_e_cross(e, dxes) @ h.conj() cross1 = operators.poynting_e_cross(e, dxes) @ h.conj()
cross2 = fdfd_tools.operators.poynting_h_cross(h.conj(), dxes) @ e cross2 = operators.poynting_h_cross(h.conj(), dxes) @ e
s1 = unvec(0.5 * numpy.real(cross1), grid.shape) s1 = unvec(0.5 * numpy.real(cross1), grid.shape)
s2 = unvec(0.5 * numpy.real(-cross2), grid.shape) s2 = unvec(0.5 * numpy.real(-cross2), grid.shape)
return s1, s2 return s1, s2

2
examples/fdtd.py
View File

@ -10,7 +10,7 @@ import time
import numpy import numpy
import h5py import h5py
from fdfd_tools import fdtd from meanas import fdtd
from masque import Pattern, shapes from masque import Pattern, shapes
import gridlock import gridlock
import pcgen import pcgen

10
examples/tcyl.py
View File

@ -2,11 +2,9 @@ import importlib
import numpy import numpy
from numpy.linalg import norm from numpy.linalg import norm
from fdfd_tools import vec, unvec, waveguide_mode from meanas import vec, unvec
import fdfd_tools from meanas.fdfd import waveguide_mode, functional, scpml
import fdfd_tools.functional from meanas.fdfd.solvers import generic as generic_solver
import fdfd_tools.grid
from fdfd_tools.solvers import generic as generic_solver
import gridlock import gridlock
@ -50,7 +48,7 @@ def test1(solver=generic_solver):
dxes = [grid.dxyz, grid.autoshifted_dxyz()] dxes = [grid.dxyz, grid.autoshifted_dxyz()]
for a in (1, 2): for a in (1, 2):
for p in (-1, 1): for p in (-1, 1):
dxes = fdfd_tools.grid.stretch_with_scpml(dxes, omega=omega, axis=a, polarity=p, dxes = scmpl.stretch_with_scpml(dxes, omega=omega, axis=a, polarity=p,
thickness=pml_thickness) thickness=pml_thickness)
wg_args = { wg_args = {

4
meanas/fdtd/base.py
View File

@ -13,7 +13,7 @@ def curl_h(dxes: dx_lists_t = None) -> field_updater:
""" """
Curl operator for use with the H field. Curl operator for use with the H field.
:param dxes: Grid parameters [dx_e, dx_h] as described in fdfd_tools.operators header :param dxes: Grid parameters [dx_e, dx_h] as described in meanas.types
:return: Function for taking the discretized curl of the H-field, F(H) -> curlH :return: Function for taking the discretized curl of the H-field, F(H) -> curlH
""" """
if dxes: if dxes:
@ -42,7 +42,7 @@ def curl_e(dxes: dx_lists_t = None) -> field_updater:
""" """
Curl operator for use with the E field. Curl operator for use with the E field.
:param dxes: Grid parameters [dx_e, dx_h] as described in fdfd_tools.operators header :param dxes: Grid parameters [dx_e, dx_h] as described in meanas.types
:return: Function for taking the discretized curl of the E-field, F(E) -> curlE :return: Function for taking the discretized curl of the E-field, F(E) -> curlE
""" """
if dxes is not None: if dxes is not None: