SimPEG.potential_fields.gravity.SimulationEquivalentSourceLayer

class SimPEG.potential_fields.gravity.SimulationEquivalentSourceLayer(mesh, cell_z_top, cell_z_bottom, **kwargs)

Bases: BaseEquivalentSourceLayerSimulation, Simulation3DIntegral

Equivalent source layer simulations

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	Gravity forward 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
gtg_diagonal	Diagonal of GtG
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
rho	Density physical property model.
rhoDeriv	Derivative of Density wrt the model.
rhoMap	Mapping of the inversion model to Density.
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])	Sensitivity transposed times a vector
Jtvec_approx(m, v[, f])	Approximation of the Jacobian transpose times a vector for the model provided.
Jvec(m, v[, f])	Sensitivity times a vector
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.
evaluate_integral(receiver_location, components)	Compute the forward linear relationship between the model and the physics at a point and for all components of the survey.
fields(m)	Forward model the gravity field of the mesh on the receivers in the survey
getJ(m[, f])	Sensitivity matrix
getJtJdiag(m[, W, f])	Return the diagonal of JtJ
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.