def test_RadialWaveMediumF(self):
Frequency = 1.
k = Frequency / self.VP * 2 * np.pi
assert k * self.DX < 1
L_PML = self.DX * self.NE_PML
pml_condition = PMLCondition(sigma0=self.S0,
Lleft=[L_PML, L_PML],
Lright=[L_PML, L_PML],
m=4)
# sonic wave model
wave = SonicWaveInFrequencyDomain(self.domain,
vp=self.VP,
pml_condition=pml_condition)
wave.setFrequency(Frequency)
# set source and get wave response:
u = wave.getWave(self.source)
r = np.array([
sqrt((x[0] - self.sourceX[0])**2 + (x[1] - self.sourceX[1])**2)
for x in self.loc.getX()
])
uu2 = -scipy.special.hankel2(0, k * r) * 1j / 4
uu = np.array(self.loc(u))
errorA = max(abs(uu2 - uu))
A = max(abs(uu2))
self.assertLessEqual(errorA, A * self.TESTTOL)
wavelength = inf(vp / (2 * np.pi * Frequency))
print("minimum wavelength = %g" % wavelength)
assert wavelength > max(dx, dz) / Order
# locator to grap amplitudes at geophones:
geophones = Locator(Solution(domain), stationPositions)
# create PML condition:
pml_condition = PMLCondition(sigma0=vp * 100 / Frequency,
Lleft=[L_PML, L_PML],
Lright=[L_PML, None],
m=4)
print("PMLConditon generated ...")
# sonic wave model
wave = SonicWaveInFrequencyDomain(domain, vp=vp, pml_condition=pml_condition)
wave.setFrequency(Frequency)
print("model created...")
# set source and get wave response:
source = Scalar(0j, DiracDeltaFunctions(domain))
source.setTaggedValue(stationTags[NStations // 2], Amplitude)
u = wave.getWave(source)
print("model solved...")
# get amplitude and phase
amps = abs(u)
phase = phase(u) / np.pi * 180.
# save to file:
saveSilo("solution",
velocity=vp,