SimPEG.electromagnetics.viscous_remanent_magnetization.Simulation3DLogUniform

class SimPEG.electromagnetics.viscous_remanent_magnetization.Simulation3DLogUniform(mesh, survey=None, chi0=None, dchi=None, tau1=None, tau2=None, **kwargs)

Bases: BaseVRMSimulation

Attributes

A	The geometric sensitivity matrix for the linear VRM problem.
chi0	DC susceptibility
clean_on_model_update	A list of solver objects to clean when the model is updated
counter	SimPEG Counter object to store iterations and run-times.
dchi	Frequency dependence
deleteTheseOnModelUpdate	A list of properties stored on this object to delete when the model is updated
indActive	Topography active cells.
mesh	Mesh for the simulation.
model	The inversion model.
needs_model	True if a model is necessary
refinement_distance	Sensitivity refinement radii from sources.
refinement_factor	The number of refinement distances.
sensitivity_path	Path to directory where sensitivity file is stored.
solver	Numerical solver used in the forward simulation.
solver_opts	Solver-specific parameters.
survey	The VRM survey.
tau1	Low bound time-relaxation constant
tau2	Upper bound time-relaxation constant
verbose	Verbose progress printout.

Methods

Jtvec(m, v[, f])	Compute the Jacobian transpose times a vector for the model provided.
Jtvec_approx(m, v[, f])	Approximation of the Jacobian transpose times a vector for the model provided.
Jvec(m, v[, f])	Compute the Jacobian times a vector for the model provided.
Jvec_approx(m, v[, f])	Approximation of the Jacobian times a vector for the model provided.
fields([m])	Computes the fields at every time d(t) = G*M(t)
make_synthetic_data(m[, relative_error, ...])	Make synthetic data for the model and Gaussian noise provided.
residual(m, dobs[, f])	The data residual.

dpred

Galleries and Tutorials using SimPEG.electromagnetics.viscous_remanent_magnetization.Simulation3DLogUniform

Forward Simulation Including Inductive Response

Forward Simulation Including Inductive Response