def setUp(self):
npad = 10
cs = 12.5
hx = [(cs, npad, -1.4), (cs, 61), (cs, npad, 1.4)]
hy = [(cs, npad, -1.4), (cs, 20)]
mesh = TensorMesh([hx, hy], x0="CN")
sighalf = 1e-2
sigma = np.ones(mesh.nC) * sighalf
x = mesh.cell_centers_x[
np.logical_and(mesh.cell_centers_x > -150, mesh.cell_centers_x < 250)
]
M = utils.ndgrid(x, np.r_[0.0])
N = utils.ndgrid(x + 12.5 * 4, np.r_[0.0])
A0loc = np.r_[-200, 0.0]
A1loc = np.r_[-250, 0.0]
rx = dc.receivers.Dipole(M, N, data_type="apparent_resistivity")
src0 = dc.sources.Dipole([rx], A0loc, A1loc)
survey = dc.Survey([src0])
self.survey = survey
self.mesh = mesh
self.sigma = sigma
self.sigma_half = sighalf
self.plotIt = False
try:
from pymatsolver import Pardiso
self.solver = Pardiso
except ImportError:
self.solver = SolverLU
def setUp(self):
cs = 12.5
hx = [(cs, 7, -1.3), (cs, 61), (cs, 7, 1.3)]
hy = [(cs, 7, -1.3), (cs, 20)]
mesh = TensorMesh([hx, hy], x0="CN")
sighalf = 1e-2
sigma = np.ones(mesh.nC) * sighalf
x = np.linspace(-135, 250.0, 20)
M = utils.ndgrid(x - 12.5, np.r_[0.0])
N = utils.ndgrid(x + 12.5, np.r_[0.0])
A0loc = np.r_[-150, 0.0]
# A1loc = np.r_[-130, 0.]
rxloc = [np.c_[M, np.zeros(20)], np.c_[N, np.zeros(20)]]
data_ana = analytics.DCAnalytic_Pole_Dipole(np.r_[A0loc, 0.0],
rxloc,
sighalf,
earth_type="halfspace")
rx = dc.receivers.Dipole(M, N)
src0 = dc.sources.Pole([rx], A0loc)
survey = dc.Survey([src0])
self.survey = survey
self.mesh = mesh
self.sigma = sigma
self.data_ana = data_ana
self.plotIt = False
try:
from pymatsolver import Pardiso
self.Solver = Pardiso
except ImportError:
self.Solver = SolverLU
def setUp(self):
cs = 12.5
hx = [(cs, 7, -1.3), (cs, 61), (cs, 7, 1.3)]
hy = [(cs, 7, -1.3), (cs, 20)]
mesh = TensorMesh([hx, hy], x0="CN")
sighalf = 1e-2
sigma = np.ones(mesh.nC) * sighalf
x = np.linspace(-135, 250.0, 20)
M = utils.ndgrid(x - 12.5, np.r_[0.0])
N = utils.ndgrid(x + 12.5, np.r_[0.0])
A0loc = np.r_[-150, 0.0]
A1loc = np.r_[-130, 0.0]
rx = dc.receivers.Dipole(M, N, data_type="apparent_resistivity")
src0 = dc.sources.Dipole([rx], A0loc, A1loc)
survey = dc.Survey([src0])
self.survey = survey
self.mesh = mesh
self.sigma = sigma
self.sigma_half = sighalf
self.plotIt = False
try:
from pymatsolver import Pardiso
self.Solver = Pardiso
except ImportError:
self.Solver = SolverLU
def setUp(self):
mesh = discretize.TensorMesh([30, 30], x0=[-0.5, -1.0])
sigma = np.random.rand(mesh.nC)
model = np.log(sigma)
# prob = DC.Simulation3DCellCentered(mesh, rhoMap=maps.ExpMap(mesh))
# prob1 = DC.Simulation3DCellCentered(mesh, rhoMap=maps.ExpMap(mesh))
rx = DC.Rx.Pole(utils.ndgrid([mesh.vectorCCx, np.r_[mesh.vectorCCy.max()]]))
rx1 = DC.Rx.Pole(utils.ndgrid([mesh.vectorCCx, np.r_[mesh.vectorCCy.min()]]))
src = DC.Src.Dipole(
[rx], np.r_[-0.25, mesh.vectorCCy.max()], np.r_[0.25, mesh.vectorCCy.max()]
)
src1 = DC.Src.Dipole(
[rx1], np.r_[-0.25, mesh.vectorCCy.max()], np.r_[0.25, mesh.vectorCCy.max()]
)
survey = DC.Survey([src])
simulation0 = DC.simulation.Simulation3DCellCentered(
mesh=mesh, survey=survey, rhoMap=maps.ExpMap(mesh)
)
survey1 = DC.Survey([src1])
simulation1 = DC.simulation.Simulation3DCellCentered(
mesh=mesh, survey=survey1, rhoMap=maps.ExpMap(mesh)
)
dobs0 = simulation0.make_synthetic_data(model)
dobs1 = simulation1.make_synthetic_data(model)
self.mesh = mesh
self.model = model
self.survey0 = survey
self.sim0 = simulation0
self.survey1 = survey1
self.sim1 = simulation1
# self.dmis0 = data_misfit.L2DataMisfit(self.survey0)
self.dmis0 = data_misfit.L2DataMisfit(data=dobs0, simulation=simulation0)
self.dmis1 = data_misfit.L2DataMisfit(data=dobs1, simulation=simulation1)
self.dmiscombo = self.dmis0 + self.dmis1
def setUp(self):
cs = 12.5
hx = [(cs, 7, -1.3), (cs, 61), (cs, 7, 1.3)]
hy = [(cs, 7, -1.3), (cs, 20)]
mesh = discretize.TensorMesh([hx, hy], x0="CN")
x = np.linspace(-200, 200.0, 20)
M = utils.ndgrid(x - 12.5, np.r_[0.0])
N = utils.ndgrid(x + 12.5, np.r_[0.0])
A0loc = np.r_[-150, 0.0]
A1loc = np.r_[-130, 0.0]
B0loc = np.r_[-130, 0.0]
B1loc = np.r_[-110, 0.0]
rx = dc.Rx.Dipole(M, N)
src0 = dc.Src.Dipole([rx], A0loc, B0loc)
src1 = dc.Src.Dipole([rx], A1loc, B1loc)
src0_ip = dc.Src.Dipole([rx], A0loc, B0loc)
src1_ip = dc.Src.Dipole([rx], A1loc, B1loc)
source_lists = [src0, src1]
source_lists_ip = [src0_ip, src1_ip]
surveyDC = dc.Survey([src0, src1])
sigmaInf = np.ones(mesh.nC) * 1.0
blkind = utils.model_builder.getIndicesSphere(np.r_[0, -150], 40,
mesh.gridCC)
eta = np.zeros(mesh.nC)
eta[blkind] = 0.1
sigma0 = sigmaInf * (1.0 - eta)
self.surveyDC = surveyDC
self.mesh = mesh
self.sigmaInf = sigmaInf
self.sigma0 = sigma0
self.source_lists = source_lists
self.source_lists_ip = source_lists_ip
self.eta = eta
def setUp(self):
npad = 10
cs = 12.5
hx = [(cs, npad, -1.4), (cs, 61), (cs, npad, 1.4)]
hy = [(cs, npad, -1.4), (cs, 20)]
mesh = TensorMesh([hx, hy], x0="CN")
sighalf = 1e-2
sigma = np.ones(mesh.nC) * sighalf
x = mesh.cell_centers_x[
np.logical_and(mesh.cell_centers_x > -150, mesh.cell_centers_x < 250)
]
M = utils.ndgrid(x, np.r_[0.0])
N = utils.ndgrid(x + 12.5 * 4, np.r_[0.0])
A0loc = np.r_[-200, 0.0]
A1loc = np.r_[-250, 0.0]
rxloc = [np.c_[M, np.zeros(x.size)], np.c_[N, np.zeros(x.size)]]
data_ana_A = analytics.DCAnalytic_Pole_Dipole(
np.r_[A0loc, 0.0], rxloc, sighalf, earth_type="halfspace"
)
data_ana_b = analytics.DCAnalytic_Pole_Dipole(
np.r_[A1loc, 0.0], rxloc, sighalf, earth_type="halfspace"
)
data_ana = data_ana_A - data_ana_b
rx = dc.receivers.Dipole(M, N)
src0 = dc.sources.Dipole([rx], A0loc, A1loc)
survey = dc.Survey([src0])
self.survey = survey
self.mesh = mesh
self.sigma = sigma
self.data_ana = data_ana
self.plotIt = False
try:
from pymatsolver import Pardiso
self.solver = Pardiso
except ImportError:
self.solver = SolverLU
