SimPEG.potential_fields.base.BaseEquivalentSourceLayerSimulation

class SimPEG.potential_fields.base.BaseEquivalentSourceLayerSimulation(mesh, cell_z_top, cell_z_bottom, **kwargs)

Bases: BasePFSimulation

Base equivalent source layer simulation class.

Parameters:

meshdiscretize.BaseMesh

A 2D tensor or tree mesh defining discretization along the x and y directions

cell_z_topnumpy.ndarray or float

Define the elevations for the top face of all cells in the layer. If an array, it should be the same size as the active cell set.

cell_z_bottomnumpy.ndarray or float

Define the elevations for the bottom face of all cells in the layer. If an array, it should be the same size as the active cell set.

Attributes

G	The linear operator.
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.
deleteTheseOnModelUpdate	A list of properties stored on this object to delete when the model is updated
ind_active	Active topography cells.
linear_model	The model for a linear problem physical property model.
mesh	Mesh for the simulation.
model	The inversion model.
model_deriv	Derivative of The model for a linear problem wrt the model.
model_map	Mapping of the inversion model to The model for a linear problem.
needs_model	True if a model is necessary
sensitivity_dtype	dtype of the sensitivity matrix.
sensitivity_path	Path to directory where sensitivity file is stored.
solver	Numerical solver used in the forward simulation.
solver_opts	Solver-specific parameters.
store_sensitivities	Options for storing sensitivities.
survey	The survey for the simulation.
verbose	Verbose progress printout.

n_processes

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.
dpred([m, f])	Predicted data for the model provided.
fields(m)	Return the computed geophysical fields for the model provided.
getJ(m[, f])	Returns the full Jacobian.
linear_operator()	Return linear operator.
make_synthetic_data(m[, relative_error, ...])	Make synthetic data for the model and Gaussian noise provided.
residual(m, dobs[, f])	The data residual.