In [22]:
from SimPEG import *
%pylab inline
In [23]:
cs, ncx, ncy, ncz, npad = 20., 30, 20, 30, 12
hx = [(cs,npad,-1.4), (cs,ncx), (cs,npad,1.4)]
hy = [(cs,npad,-1.4), (cs,ncy), (cs,npad,1.4)]
hz = [(cs,npad,-1.4), (cs,ncz), (cs,npad,1.4)]
mesh = Mesh.TensorMesh([hx,hy,hz], 'CCC')
print ("Padding distance x: %10.5f m") % (np.sum(mesh.hx[:npad]))
print ("Padding distance z: %10.5f m") % (np.sum(mesh.hz[:npad]))
print ("Min dx: %10.5f m") % (mesh.hx.min())
print ("Min dz: %10.5f m") % (mesh.hz.min())
In [24]:
print mesh
In [25]:
def circfun(xc, yc, r, npoint):
theta = np.linspace(np.pi, -np.pi, npoint)
x = r*np.cos(theta)
y = r*np.sin(theta)
return x+xc, y+yc
In [40]:
xcirc1, ycirc1 = circfun(-150., 0., 250., 60)
xcirc2, ycirc2 = circfun(150., 0., 250., 60)
In [41]:
Utils.meshutils.writeUBCTensorMesh(mesh, 'mesh.msh')
In [28]:
# sigma = Utils.meshutils.readUBCTensorModel('sigma_realistic.con', mesh)
In [29]:
# mopt = np.load('./inv2D_realistic_line/model_14.npy')
In [30]:
mesh2D = Mesh.TensorMesh([hx,hz], 'CC')
active = mesh2D.gridCC[:,1] < 0.
actMap = Maps.ActiveCells(mesh2D, active, np.log(1e-8), nC=mesh2D.nC)
map2to3 = Maps.Map2Dto3D(mesh, normal = 'Y')
mapping = Maps.ExpMap(mesh) * map2to3 * actMap
In [31]:
mesh2D.vnC
Out[31]:
In [32]:
mesh2D.vectorCCy[mesh2D.vectorCCy <0.].shape
Out[32]:
In [33]:
x1 = np.arange(30)*10 - 300.
y1 = np.arange(30)*10 - 150.
xyz1 = Utils.ndgrid(x1, y1, np.r_[0.])
x2 = np.arange(30)*10 + 10.
y2 = np.arange(30)*10 - 150.
xyz2 = Utils.ndgrid(x2, y2, np.r_[0.])
In [34]:
fig, ax = plt.subplots(1,2, figsize=(18,4))
indz = 20
print mesh.vectorCCz[indz]
mesh.plotSlice(np.log10(sigma), ind = indz, ax = ax[0], clim=(-3, -1))
mesh.plotSlice(np.log10(mapping*mopt), ind = indz, ax = ax[1], clim=(-3, -1))
# mesh.plotSlice(np.log10(mapping*mopt), ind = indz, ax = ax[1])
for i in range(2):
ax[i].plot(xyz1[:,0], xyz1[:,1], 'r.')
ax[i].plot(xyz2[:,0], xyz2[:,1], 'b.')
# ax[i].plot(xcirc1, ycirc1, 'r-')
# ax[i].plot(xcirc2, ycirc2, 'b-')
ax[i].set_xlim(-320, 320)
ax[i].set_ylim(-150, 150)
In [35]:
temp = mapping*mopt
np.save('./inv2D_realistic_line/invTEM2D', temp)
In [36]:
indy=20
fig, ax = plt.subplots(1,2, figsize=(16,4))
print mesh.vectorCCy[indy]
dat0 = mesh.plotSlice(np.log10(sigma), normal='Y', ind = indy, ax = ax[0], clim=(-3, -0.5))
dat1 = mesh.plotSlice(np.log10(mapping*mopt), normal='Y', ind = indy, ax = ax[1], clim=(-3, -0.5))
for i in range(2):
plt.colorbar(dat0[0], ax = ax[i])
ax[i].set_xlim(-300, 300)
ax[i].set_ylim(-700, 0.)
In [ ]:
import simpegEM as EM
mapping = Maps.IdentityMap(mesh)
In [37]:
ntx = 2
nrx1 = xyz1.shape[0]
time = np.logspace(-4, -2, 31)
In [38]:
print time
In [49]:
rx1 = EM.TDEM.RxTDEM(xyz1, time, 'bz')
tx1 = EM.TDEM.TxTDEM(np.array([0., -150., 0.]), 'CircularLoop_MVP', [rx1])
tx1.radius = 250.
rx2 = EM.TDEM.RxTDEM(xyz2, time, 'bz')
tx2 = EM.TDEM.TxTDEM(np.array([0., 150., 0.]), 'CircularLoop_MVP', [rx2])
tx2.radius = 250.
In [19]:
# survey = EM.TDEM.SurveyTDEM([tx1, tx2])
survey = EM.TDEM.SurveyTDEM([tx1])
prb = EM.TDEM.ProblemTDEM_b(mesh, mapping=mapping, verbose=True)
# prb.solver = MumpsSolver
# prb.solverOpts = {"symmetric":True}
# prb.timeSteps = [(1e-4/15, 10), (1e-3/15, 10), (1e-2/15, 5)]
prb.timeSteps = [(1e-4/15, 10)]
if prb.ispaired:
prb.unpair()
if survey.ispaired:
survey.unpair()
prb.pair(survey)
In [20]:
dobs = np.load('bzobs_realistic_line.npy')
In [21]:
dest = np.load('inv2D_realistic_line/dpred_13.npy')
In [22]:
Dpred = dobs.reshape((30, 31, 2), order='F')
Dpred1 = Dpred[:,:,0]
Dpred2 = Dpred[:,:,1]
Dest = dest.reshape((30, 31, 2), order='F')
Dest1 = Dest[:,:,0]
Dest2 = Dest[:,:,1]
In [23]:
ind = xyz1[:,1] == 0.
Itime = [0, 5, 10, 15, 20, 25, 30]
for itime in Itime:
plt.semilogy(np.r_[xyz1[ind,0], xyz2[ind,0]], np.r_[Utils.mkvc(Dpred[:,itime,0]), Utils.mkvc(Dpred[:,itime,1])])
plt.semilogy(np.r_[xyz1[ind,0], xyz2[ind,0]], np.r_[Utils.mkvc(Dest[:,itime,0]), Utils.mkvc(Dest[:,itime,1])])