simpeg.electromagnetics.static.spectral_induced_polarization.Simulation3DCellCentered

class simpeg.electromagnetics.static.spectral_induced_polarization.Simulation3DCellCentered(mesh, survey=None, tau=0.1, tauMap=None, taui=None, tauiMap=None, c=0.5, cMap=None, storeJ=False, actinds=None, storeInnerProduct=True, **kwargs)

Bases: BaseSIPSimulation, Simulation3DCellCentered

3D cell centered Spectral IP problem

Attributes

Mcc	Get cell inner product matrix.
MccI	Get inverse of cell inner product matrix.
MccRho	Get cell center property inner product matrix.
MccRhoI	Get cell center property inner product inverse matrix.
MccSigma	Get cell center property inner product matrix.
MccSigmaI	Get cell center property inner product inverse matrix.
Me	Get edge inner product matrix.
MeI	Get inverse of edge inner product matrix.
MeRho	Get edge property inner product matrix.
MeRhoI	Get edge property inner product inverse matrix.
MeSigma	Get edge property inner product matrix.
MeSigmaI	Get edge property inner product inverse matrix.
Mf	Get face inner product matrix.
MfI	Get inverse of face inner product matrix.
MfRho	Get face property inner product matrix.
MfRhoI	Get face property inner product inverse matrix.
MfSigma	Get face property inner product matrix.
MfSigmaI	Get face property inner product inverse matrix.
Mn	Get node inner product matrix.
MnI	Get inverse of node inner product matrix.
MnRho	Get node property inner product matrix.
MnRhoI	Get node property inner product inverse matrix.
MnSigma	Get node property inner product matrix.
MnSigmaI	Get node property inner product inverse matrix.
Vol	Get volumes.
actinds	Active indices when storing J.
bc_type	Type of boundary condition to use for simulation.
c	Frequency dependency physical property model.
cDeriv	Derivative of Frequency dependency wrt the model.
cMap	Mapping of the inversion model to Frequency dependency.
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	HasModel.deleteTheseOnModelUpdate has been deprecated.
eta	Electrical chargeability (v/v) physical property model.
etaDeriv	Derivative of Electrical Chargeability (V/V) wrt the model.
etaMap	Mapping of the inversion model to Electrical Chargeability (V/V).
mesh	Mesh for the simulation.
model	The inversion model.
needs_model	True if a model is necessary
rho	Electrical Resistivity (Ohm m)
sensitivity_path	Path to directory where sensitivity file is stored.
sigma	Electrical Conductivity (S/m)
solver	Numerical solver used in the forward simulation.
solver_opts	Set solver-specific parameters.
storeInnerProduct	Whether to store inner product matrices
storeJ	Whether to store the sensitivity matrix
surface_faces	Return which boundary faces to interpret as surfaces of Neumann boundary.
survey	The SIP survey object.
tau	Time constant (s) physical property model.
tauDeriv	Derivative of Time constant (s) wrt the model.
tauMap	Mapping of the inversion model to Time constant (s).
taui	Inverse of time constant (1/s) physical property model.
tauiDeriv	Derivative of Inverse of time constant (1/s) wrt the model.
tauiMap	Mapping of the inversion model to Inverse of time constant (1/s).
verbose	Verbose progress printout.

Ainv
cDeriv_store
etaDeriv_store
n
rhoDeriv
rhoMap
sigmaDeriv
sigmaMap
tauDeriv_store
tauiDeriv_store

Methods

Jtvec(m, v[, f])	Compute the adjoint sensitivity matrix times a vector.
Jtvec_approx(m, v[, f])	Approximation of the Jacobian transpose times a vector for the model provided.
Jvec(m, v[, f])	Compute the sensitivity matrix times a vector.
Jvec_approx(m, v[, f])	Approximation of the Jacobian times a vector for the model provided.
MccRhoDeriv(u[, v, adjoint])	Get derivative of MccProperty with respect to the model.
MccRhoIDeriv(u[, v, adjoint])	Get derivative of MccPropertyI with respect to the model.
MccSigmaDeriv(u[, v, adjoint])	Get derivative of MccProperty with respect to the model.
MccSigmaIDeriv(u[, v, adjoint])	Get derivative of MccPropertyI with respect to the model.
MeRhoDeriv(u[, v, adjoint])	Get derivative of MeProperty with respect to the model.
MeRhoIDeriv(u[, v, adjoint])	Get derivative of MePropertyI with respect to the model.
MeSigmaDeriv(u[, v, adjoint])	Get derivative of MeProperty with respect to the model.
MeSigmaIDeriv(u[, v, adjoint])	Get derivative of MePropertyI with respect to the model.
MfRhoDeriv(u[, v, adjoint])	Get derivative of MfProperty with respect to the model.
MfRhoIDeriv(u[, v, adjoint])	Get derivative of MfPropertyI with respect to the model.
MfSigmaDeriv(u[, v, adjoint])	Get derivative of MfProperty with respect to the model.
MfSigmaIDeriv(u[, v, adjoint])	Get derivative of MfPropertyI with respect to the model.
MnRhoDeriv(u[, v, adjoint])	Get derivative of MnProperty with respect to the model.
MnRhoIDeriv(u[, v, adjoint])	Get derivative of MnPropertyI with respect to the model.
MnSigmaDeriv(u[, v, adjoint])	Get derivative of MnProperty with respect to the model.
MnSigmaIDeriv(u[, v, adjoint])	Get derivative of MnPropertyI with respect to the model.
dpred(m[, f])	Predicted data.
fields(m)	Compute and return the fields for the model provided.
forward(m[, f])
getA([resistivity])	Return the system matrix.
getADeriv(u, v[, adjoint])	Get resistivity derivative operation for the system matrix times a vector.
getJ(m[, f])	Generate Full sensitivity matrix
getJtJdiag(m, Wd[, f])	Compute JtJ using adjoint problem.
getRHS()	Compute and return right-hand sides for all sources.
getRHSDeriv(source, v[, adjoint])	Get derivative of the right-hand side with respect to the model.
getSourceTerm()	Return the discrete source term for all sources.
get_peta_c_deriv_pulse_off(t)	Compute derivative of pseudo-chargeability w.r.t eta from a single pulse waveform
get_peta_eta_deriv_pulse_off(t)	Compute derivative of pseudo-chargeability w.r.t eta from a single pulse waveform
get_peta_pulse_off(t)	Compute pseudo-chargeability from a single pulse waveform
get_peta_taui_deriv_pulse_off(t)	Compute derivative of pseudo-chargeability w.r.t eta from a single pulse waveform
make_synthetic_data(m[, relative_error, ...])	Make synthetic data for the model and Gaussian noise provided.
residual(m, dobs[, f])	The data residual.
setBC()	Set the boundary conditions for the gradient operator.

PetaCDeriv
PetaEtaDeriv
PetaTauiDeriv
fieldsPair
get_exponent
get_multi_pulse_response
get_peta
get_peta_c_deriv
get_peta_c_deriv_step_off
get_peta_eta_deriv
get_peta_eta_deriv_step_off
get_peta_step_off
get_peta_taui_deriv
get_peta_taui_deriv_step_off
get_t_over_tau