def setUp(self):
cs = 25.
hx = [(cs, 0, -1.3), (cs, 21), (cs, 0, 1.3)]
hz = [(cs, 0, -1.3), (cs, 20)]
mesh = Mesh.TensorMesh([hx, hz], x0="CN")
blkind0 = Utils.ModelBuilder.getIndicesSphere(np.r_[-100., -200.], 75.,
mesh.gridCC)
blkind1 = Utils.ModelBuilder.getIndicesSphere(np.r_[100., -200.], 75.,
mesh.gridCC)
sigma = np.ones(mesh.nC) * 1e-2
eta = np.zeros(mesh.nC)
tau = np.ones_like(sigma) * 1.
eta[blkind0] = 0.1
eta[blkind1] = 0.1
tau[blkind0] = 0.1
tau[blkind1] = 0.1
x = mesh.vectorCCx[(mesh.vectorCCx > -155.) & (mesh.vectorCCx < 155.)]
Aloc = np.r_[-200., 0.]
Bloc = np.r_[200., 0.]
M = Utils.ndgrid(x - 25., np.r_[0.])
N = Utils.ndgrid(x + 25., np.r_[0.])
times = np.arange(10) * 1e-3 + 1e-3
rx = SIP.Rx.Dipole(M, N, times)
src = SIP.Src.Dipole([rx], Aloc, Bloc)
survey = SIP.Survey([src])
wires = Maps.Wires(('eta', mesh.nC), ('taui', mesh.nC))
problem = SIP.Problem2D_N(mesh,
sigma=sigma,
etaMap=wires.eta,
tauiMap=wires.taui,
verbose=False)
problem.Solver = Solver
problem.pair(survey)
mSynth = np.r_[eta, 1. / tau]
problem.model = mSynth
survey.makeSyntheticData(mSynth)
# Now set up the problem to do some minimization
dmis = DataMisfit.l2_DataMisfit(survey)
reg = Regularization.Tikhonov(mesh)
opt = Optimization.InexactGaussNewton(maxIterLS=20,
maxIter=10,
tolF=1e-6,
tolX=1e-6,
tolG=1e-6,
maxIterCG=6)
invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta=1e4)
inv = Inversion.BaseInversion(invProb)
self.inv = inv
self.reg = reg
self.p = problem
self.mesh = mesh
self.m0 = mSynth
self.survey = survey
self.dmis = dmis
def setUp(self):
cs = 25.
hx = [(cs, 0, -1.3), (cs, 21), (cs, 0, 1.3)]
hz = [(cs, 0, -1.3), (cs, 20)]
mesh = Mesh.TensorMesh([hx, hz], x0="CN")
blkind0 = Utils.ModelBuilder.getIndicesSphere(np.r_[-100., -200.], 75.,
mesh.gridCC)
blkind1 = Utils.ModelBuilder.getIndicesSphere(np.r_[100., -200.], 75.,
mesh.gridCC)
sigma = np.ones(mesh.nC) * 1e-2
eta = np.zeros(mesh.nC)
tau = np.ones_like(sigma) * 1.
c = np.ones_like(sigma)
eta[blkind0] = 0.1
eta[blkind1] = 0.1
tau[blkind0] = 0.1
tau[blkind1] = 0.1
x = mesh.vectorCCx[(mesh.vectorCCx > -155.) & (mesh.vectorCCx < 155.)]
Aloc = np.r_[-200., -50]
Bloc = np.r_[200., -50]
M = Utils.ndgrid(x - 25., np.r_[0.])
N = Utils.ndgrid(x + 25., np.r_[0.])
airind = mesh.gridCC[:, 1] > -40
actmapeta = Maps.InjectActiveCells(mesh, ~airind, 0.)
actmaptau = Maps.InjectActiveCells(mesh, ~airind, 1.)
actmapc = Maps.InjectActiveCells(mesh, ~airind, 1.)
times = np.arange(10) * 1e-3 + 1e-3
rx = SIP.Rx.Dipole(M, N, times)
src = SIP.Src.Dipole([rx], Aloc, Bloc)
survey = SIP.Survey([src])
wires = Maps.Wires(('eta', actmapeta.nP), ('taui', actmaptau.nP),
('c', actmapc.nP))
problem = SIP.Problem2D_N(mesh,
sigma=sigma,
etaMap=actmapeta * wires.eta,
tauiMap=actmaptau * wires.taui,
cMap=actmapc * wires.c,
actinds=~airind)
problem.Solver = Solver
problem.pair(survey)
mSynth = np.r_[eta[~airind], 1. / tau[~airind], c[~airind]]
survey.makeSyntheticData(mSynth)
# Now set up the problem to do some minimization
dmis = DataMisfit.l2_DataMisfit(survey)
reg_eta = Regularization.Simple(mesh,
mapping=wires.eta,
indActive=~airind)
reg_taui = Regularization.Simple(mesh,
mapping=wires.taui,
indActive=~airind)
reg_c = Regularization.Simple(mesh, mapping=wires.c, indActive=~airind)
reg = reg_eta + reg_taui + reg_c
opt = Optimization.InexactGaussNewton(maxIterLS=20,
maxIter=10,
tolF=1e-6,
tolX=1e-6,
tolG=1e-6,
maxIterCG=6)
invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta=1e4)
inv = Inversion.BaseInversion(invProb)
self.inv = inv
self.reg = reg
self.p = problem
self.mesh = mesh
self.m0 = mSynth
self.survey = survey
self.dmis = dmis