def setUp(self):
mesh = discretize.TensorMesh([30])
sigma = np.ones(mesh.nC)
model = np.log(sigma)
# prob = DC.Simulation3DCellCentered(mesh, rhoMap=Maps.ExpMap(mesh))
receivers = survey.BaseRx(20 * [[0.0]])
source = survey.BaseSrc([receivers])
sim = simulation.ExponentialSinusoidSimulation(
mesh=mesh, survey=survey.BaseSurvey([source]), model_map=maps.ExpMap(mesh)
)
synthetic_data = sim.make_synthetic_data(model)
dobs = synthetic_data.dobs
self.relative = 0.01
self.noise_floor = 1e-8
synthetic_data.relative_error = self.relative
synthetic_data.noise_floor = self.noise_floor
dmis = data_misfit.L2DataMisfit(simulation=sim, data=synthetic_data)
self.model = model
self.mesh = mesh
self.sim = sim
self.survey = sim.survey
# self.survey = survey
# self.prob = prob
self.data = synthetic_data
self.dmis = dmis
def setUp(self):
mesh = discretize.TensorMesh([100])
self.sim = simulation.ExponentialSinusoidSimulation(
mesh=mesh,
model_map=maps.IdentityMap(mesh),
)
mtrue = np.zeros(mesh.nC)
mtrue[mesh.vectorCCx > 0.3] = 1.0
mtrue[mesh.vectorCCx > 0.45] = -0.5
mtrue[mesh.vectorCCx > 0.6] = 0
self.mtrue = mtrue
def setUp(self):
mesh = discretize.TensorMesh([30])
sigma = np.ones(mesh.nC)
model = np.log(sigma)
receivers = survey.BaseRx(20 * [[0.0]])
source = survey.BaseSrc([receivers])
self.sim = simulation.ExponentialSinusoidSimulation(
mesh=mesh,
survey=survey.BaseSurvey([source]),
model_map=maps.ExpMap(mesh))
self.dobs = self.sim.dpred(model)