simpeg.electromagnetics.static.resistivity.simulation.BaseDCSimulation#

class simpeg.electromagnetics.static.resistivity.simulation.BaseDCSimulation(mesh, survey=None, storeJ=False, miniaturize=False, surface_faces=None, **kwargs)[source]#

Bases: BaseElectricalPDESimulation

Base DC Problem

Attributes

`Mcc`	Cell center inner product matrix.
`MccRho`	Cell center property inner product matrix.
`MccRhoI`	Cell center property inner product inverse matrix.
`MccSigma`	Cell center property inner product matrix.
`MccSigmaI`	Cell center property inner product inverse matrix.
`Me`	Edge inner product matrix.
`MeI`	Edge inner product inverse matrix.
`MeRho`	Edge property inner product matrix.
`MeRhoI`	Edge property inner product inverse matrix.
`MeSigma`	Edge property inner product matrix.
`MeSigmaI`	Edge property inner product inverse matrix.
`Mf`	Face inner product matrix.
`MfI`	Face inner product inverse matrix.
`MfRho`	Face property inner product matrix.
`MfRhoI`	Face property inner product inverse matrix.
`MfSigma`	Face property inner product matrix.
`MfSigmaI`	Face property inner product inverse matrix.
`Mn`	Node inner product matrix.
`MnI`	Node inner product inverse matrix.
`MnRho`	Node property inner product matrix.
`MnRhoI`	Node property inner product inverse matrix.
`MnSigma`	Node property inner product matrix.
`MnSigmaI`	Node property inner product inverse matrix.
`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`	matrices to be deleted if the model for conductivity/resistivity is updated
`mesh`	Mesh for the simulation.
`model`	The inversion model.
`needs_model`	True if a model is necessary
`rho`	Electrical resistivity (ohm m) physical property model.
`rhoDeriv`	Derivative of Electrical resistivity (Ohm m) wrt the model.
`rhoMap`	Mapping of the inversion model to Electrical resistivity (Ohm m).
`sensitivity_path`	Path to directory where sensitivity file is stored.
`sigma`	Electrical conductivity (s/m) physical property model.
`sigmaDeriv`	Derivative of Electrical conductivity (S/m) wrt the model.
`sigmaMap`	Mapping of the inversion model to Electrical conductivity (S/m).
`solver`	Numerical solver used in the forward simulation.
`solver_opts`	Solver-specific parameters.
`storeJ`	Whether to store the sensitivity matrix
`surface_faces`	Array defining which boundary faces to interpret as surfaces of Neumann boundary
`survey`	The DC survey object.
`verbose`	Verbose progress printout.

Ainv
MccI
Vol

Methods

`Jtvec`(m, v[, f])	Compute adjoint sensitivity matrix (J^T) and vector (v) product.
`Jtvec_approx`(m, v[, f])	Approximation of the Jacobian transpose times a vector for the model provided.
`Jvec`(m, v[, f])	Compute sensitivity matrix (J) and vector (v) product.
`Jvec_approx`(m, v[, f])	Approximation of the Jacobian times a vector for the model provided.
`MccRhoDeriv`(u[, v, adjoint])	Derivative of MccProperty with respect to the model.
`MccRhoIDeriv`(u[, v, adjoint])	Derivative of MccPropertyI with respect to the model.
`MccSigmaDeriv`(u[, v, adjoint])	Derivative of MccProperty with respect to the model.
`MccSigmaIDeriv`(u[, v, adjoint])	Derivative of MccPropertyI with respect to the model.
`MeRhoDeriv`(u[, v, adjoint])	Derivative of MeProperty with respect to the model.
`MeRhoIDeriv`(u[, v, adjoint])	Derivative of MePropertyI with respect to the model.
`MeSigmaDeriv`(u[, v, adjoint])	Derivative of MeProperty with respect to the model.
`MeSigmaIDeriv`(u[, v, adjoint])	Derivative of MePropertyI with respect to the model.
`MfRhoDeriv`(u[, v, adjoint])	Derivative of MfProperty with respect to the model.
`MfRhoIDeriv`(u[, v, adjoint])	I Derivative of MfPropertyI with respect to the model.
`MfSigmaDeriv`(u[, v, adjoint])	Derivative of MfProperty with respect to the model.
`MfSigmaIDeriv`(u[, v, adjoint])	I Derivative of MfPropertyI with respect to the model.
`MnRhoDeriv`(u[, v, adjoint])	Derivative of MnProperty with respect to the model.
`MnRhoIDeriv`(u[, v, adjoint])	Derivative of MnPropertyI with respect to the model.
`MnSigmaDeriv`(u[, v, adjoint])	Derivative of MnProperty with respect to the model.
`MnSigmaIDeriv`(u[, v, adjoint])	Derivative of MnPropertyI with respect to the model.
`dpred`([m, f])	Predicted data for the model provided.
`fields`([m, calcJ])	Return the computed geophysical fields for the model provided.
`getJtJdiag`(m[, W, f])	Return the diagonal of JtJ
`getSourceTerm`()	Evaluates the sources, and puts them in matrix form :rtype: tuple :return: q (nC or nN, nSrc)
`make_synthetic_data`(m[, relative_error, ...])	Make synthetic data for the model and Gaussian noise provided.
`residual`(m, dobs[, f])	The data residual.