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)[source]#

Bases: BaseVRMSimulation

Attributes

`A`	The geometric sensitivity matrix for the linear VRM problem.
`active_cells`	Topography active cells.
`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`	HasModel.deleteTheseOnModelUpdate has been deprecated.
`indActive`	active_cells.indActive has been deprecated.
`mesh`	Mesh for the integral VRM simulations.
`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.
`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