simpeg.potential_fields.magnetics.SimulationEquivalentSourceLayer

class simpeg.potential_fields.magnetics.SimulationEquivalentSourceLayer(mesh, cell_z_top, cell_z_bottom, **kwargs)

Bases: BaseEquivalentSourceLayerSimulation, Simulation3DIntegral

Equivalent source layer simulation

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

cell_z_bottomnumpy.ndarray or float

Define the elevations for the bottom face of all cells in the layer

Attributes

G	The linear operator.
M	M: ndarray
chi	Magnetic susceptibility (si) physical property model.
chiDeriv	Derivative of Magnetic Susceptibility (SI) wrt the model.
chiMap	Mapping of the inversion model to Magnetic Susceptibility (SI).
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
engine	Engine that will be used to run the simulation.
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.
modelType	model_type.modelType has been deprecated.
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.
model_type	Type of magnetization model
nD	Number of data
needs_model	True if a model is necessary
numba_parallel	Run simulation in parallel or single-threaded when using Numba.
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.

ampDeriv
is_amplitude_data
n_processes
tmi_projection

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.
compute_amplitude(b_xyz)	Compute amplitude of the magnetic field
dpred([m, f])	Predicted data for the model provided.
evaluate_integral(receiver_location, components)	Load in the active nodes of a tensor mesh and computes the magnetic forward relation between a cuboid and a given observation location outside the Earth [obsx, obsy, obsz]
fields(model)	Return the computed geophysical fields for the model provided.
getJ(m[, f])	Returns the full Jacobian.
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.
normalized_fields(fields)	Return the normalized B fields
residual(m, dobs[, f])	The data residual.