In [1]:
import sys
sys.path.append('../')
In [2]:
import numpy as np
from zephyr.backend import ViscoMultiFreq, MultiFreq, MiniZephyrHD, SparseKaiserSource
In [3]:
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import matplotlib
%matplotlib inline
from IPython.display import set_matplotlib_formats
set_matplotlib_formats('png')
matplotlib.rcParams['savefig.dpi'] = 150 # Change this to adjust figure size
In [4]:
systemConfig = {
'dx': 1., # m
'dz': 1., # m
'c': 2500., # m/s
'rho': 1., # kg/m^3
'nx': 100, # count
'nz': 200, # count
'freqs': [2e2, 3e2], # Hz
'Disc': MiniZephyrHD,
'Q': 20,
'freqBase': 200., # Hz
}
nx = systemConfig['nx']
nz = systemConfig['nz']
dx = systemConfig['dx']
dz = systemConfig['dz']
In [5]:
MF = MultiFreq(systemConfig)
VMF = ViscoMultiFreq(systemConfig)
SKS = SparseKaiserSource(systemConfig)
xs, zs = 25, 25
sloc = np.array([xs, zs]).reshape((1,2))
q = SKS(sloc)
uMF = list(MF*q)
uVMF = list(VMF*q)
In [6]:
clip = 10
fid = 1
plotopts = {
'vmin': -np.pi,
'vmax': np.pi,
'extent': [0., dx * nx, dz * nz, 0.],
'cmap': cm.bwr,
}
fig = plt.figure()
ax1 = fig.add_subplot(1,4,1)
plt.imshow(np.angle(uMF[fid].reshape((nz, nx))), **plotopts)
plt.title('MF Phase')
ax2 = fig.add_subplot(1,4,2)
plt.imshow(np.angle(uVMF[fid].reshape((nz, nx))), **plotopts)
plt.title('VMF Phase')
plotopts.update({
'vmin': -clip,
'vmax': clip,
})
ax3 = fig.add_subplot(1,4,3)
plt.imshow(uMF[fid].reshape((nz, nx)).real, **plotopts)
plt.title('MF Real')
ax4 = fig.add_subplot(1,4,4)
plt.imshow(uVMF[fid].reshape((nz, nx)).real, **plotopts)
plt.title('VMF Real')
fig.tight_layout()
# ---
fig = plt.figure()
ax = fig.add_subplot(2,1,1, aspect=5)
plt.plot(np.angle(uMF[fid]).reshape((nz, nx))[:,xs], '.', label='MultiFreq')
plt.plot(np.angle(uVMF[fid]).reshape((nz, nx))[:,xs], '.', label='ViscoMultiFreq')
plt.legend(loc=4)
plt.title('Phase through xs=%d'%xs)
ax = fig.add_subplot(2,1,2, aspect=3)
plt.plot(uMF[fid].real.reshape((nz, nx))[:,xs], label='MultiFreq')
plt.plot(uVMF[fid].real.reshape((nz, nx))[:,xs], label='ViscoMultiFreq')
plt.legend(loc=4)
plt.title('Real part through xs=%d'%xs)
fig.tight_layout()
In [ ]: