jan/meanas
1
0
Fork 0
Code Issues Pull requests Releases Wiki Activity

Take care of dxes at the poynting() level rather than poynting_divergence

Browse source
This commit is contained in:
Jan Petykiewicz 2019-10-27 12:43:06 -07:00
commit 2a1fa1df7b
2 changed files with 25 additions and 25 deletions
Download patch file Download diff file Expand all files Collapse all files

34
meanas/fdtd/energy.py
View file

@ -4,23 +4,31 @@ import numpy
from .. import dx_lists_t, field_t, field_updater
def poynting(e, h):
s = (numpy.roll(e[1], -1, axis=0) * h[2] - numpy.roll(e[2], -1, axis=0) * h[1],
numpy.roll(e[2], -1, axis=1) * h[0] - numpy.roll(e[0], -1, axis=1) * h[2],
numpy.roll(e[0], -1, axis=2) * h[1] - numpy.roll(e[1], -1, axis=2) * h[0])
return numpy.array(s)
def poynting_divergence(s=None, *, e=None, h=None, dxes=None): # TODO dxes
def poynting(e, h, dxes=None):
if dxes is None:
dxes = tuple(tuple(numpy.ones(1) for _ in range(3)) for _ in range(2))
if s is None:
s = poynting(e, h)
ex = e[0] * dxes[0][0][:, None, None]
ey = e[1] * dxes[0][1][None, :, None]
ez = e[2] * dxes[0][2][None, None, :]
hx = h[0] * dxes[1][0][:, None, None]
hy = h[1] * dxes[1][1][None, :, None]
hz = h[2] * dxes[1][2][None, None, :]
ds = ((s[0] - numpy.roll(s[0], 1, axis=0)) / numpy.sqrt(dxes[0][0] * dxes[1][0])[:, None, None] +
(s[1] - numpy.roll(s[1], 1, axis=1)) / numpy.sqrt(dxes[0][1] * dxes[1][1])[None, :, None] +
(s[2] - numpy.roll(s[2], 1, axis=2)) / numpy.sqrt(dxes[0][2] * dxes[1][2])[None, None, :] )
s = numpy.empty_like(e)
s[0] = numpy.roll(ey, -1, axis=0) * hz - numpy.roll(ez, -1, axis=0) * hy
s[1] = numpy.roll(ez, -1, axis=1) * hx - numpy.roll(ex, -1, axis=1) * hz
s[2] = numpy.roll(ex, -1, axis=2) * hy - numpy.roll(ey, -1, axis=2) * hx
return s
def poynting_divergence(s=None, *, e=None, h=None, dxes=None): # TODO dxes
if s is None:
s = poynting(e, h, dxes=dxes)
ds = ((s[0] - numpy.roll(s[0], 1, axis=0)) +
(s[1] - numpy.roll(s[1], 1, axis=1)) +
(s[2] - numpy.roll(s[2], 1, axis=2)) )
return ds