simpeg.electromagnetics.natural_source.Simulation1DPrimarySecondary#

class simpeg.electromagnetics.natural_source.Simulation1DPrimarySecondary(mesh, survey=None, sigmaPrimary=None, **kwargs)[source]#

Bases: Simulation1DElectricField

A NSEM problem solving a e formulation and primary/secondary fields decomposition.

By eliminating the magnetic flux density using

\[\mathbf{b} = \frac{1}{i \omega} \left(-\mathbf{C} \mathbf{e} \right)\]

we can write Maxwell’s equations as a second order system in \(\mathbf{e}\) only:

\[\left[ \mathbf{C}^{\top} \mathbf{M_{\mu^{-1}}^e } \mathbf{C} + i \omega \mathbf{M_{\sigma}^f} \right] \mathbf{e}_{s} = i \omega \mathbf{M_{\sigma_{s}}^f } \mathbf{e}_{p}\]

which we solve for \(\mathbf{e_s}\). The total field \(\mathbf{e} = \mathbf{e_p} + \mathbf{e_s}\).

The primary field is estimated from a background model (commonly half space ).

Attributes

Mcc

Cell center inner product matrix.

MccMu

Cell center property inner product matrix.

MccMuI

Cell center property inner product inverse matrix.

MccMui

Cell center property inner product matrix.

MccMuiI

Cell center property inner product inverse 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.

MeMu

Edge property inner product matrix.

MeMuI

Edge property inner product inverse matrix.

MeMui

Edge property inner product matrix.

MeMuiI

Edge property 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.

MfMu

Face property inner product matrix.

MfMuI

Face property inner product inverse matrix.

MfMui

Face property inner product matrix.

MfMuiI

Face property 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.

MnMu

Node property inner product matrix.

MnMuI

Node property inner product inverse matrix.

MnMui

Node property inner product matrix.

MnMuiI

Node property 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

HasModel.deleteTheseOnModelUpdate has been deprecated.

forward_only

Whether to store the factorizations of the inverses of the system matrices.

mesh

Mesh for the simulation.

model

The inversion model.

mu

Magnetic permeability (h/m) physical property model.

muDeriv

Derivative of Magnetic Permeability (H/m) wrt the model.

muMap

Mapping of the inversion model to Magnetic Permeability (H/m).

mui

Inverse magnetic permeability (m/h) physical property model.

muiDeriv

Derivative of Inverse Magnetic Permeability (m/H) wrt the model.

muiMap

Mapping of the inversion model to Inverse Magnetic Permeability (m/H).

needs_model

True if a model is necessary

permittivity

Dielectric permittivity (F/m)

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).

sigmaPrimary

A background model, use for the calculation of the primary fields.

solver

Numerical solver used in the forward simulation.

solver_opts

Solver-specific parameters.

storeInnerProduct

Whether to store inner product matrices

storeJ

Whether to compute and store the sensitivity matrix.

survey

The FDEM survey object.

verbose

Verbose progress printout.

MccI

Vol

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.

MccMuDeriv(u[, v, adjoint])

Derivative of MccProperty with respect to the model.

MccMuIDeriv(u[, v, adjoint])

Derivative of MccPropertyI with respect to the model.

MccMuiDeriv(u[, v, adjoint])

Derivative of MccProperty with respect to the model.

MccMuiIDeriv(u[, v, adjoint])

Derivative of MccPropertyI with respect to the model.

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.

MeMuDeriv(u[, v, adjoint])

Derivative of MeProperty with respect to the model.

MeMuIDeriv(u[, v, adjoint])

Derivative of MePropertyI with respect to the model.

MeMuiDeriv(u[, v, adjoint])

Derivative of MeProperty with respect to the model.

MeMuiIDeriv(u[, v, adjoint])

Derivative of MePropertyI 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.

MfMuDeriv(u[, v, adjoint])

Derivative of MfProperty with respect to the model.

MfMuIDeriv(u[, v, adjoint])

I Derivative of MfPropertyI with respect to the model.

MfMuiDeriv(u[, v, adjoint])

Derivative of MfProperty with respect to the model.

MfMuiIDeriv(u[, v, adjoint])

I Derivative of MfPropertyI 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.

MnMuDeriv(u[, v, adjoint])

Derivative of MnProperty with respect to the model.

MnMuIDeriv(u[, v, adjoint])

Derivative of MnPropertyI with respect to the model.

MnMuiDeriv(u[, v, adjoint])

Derivative of MnProperty with respect to the model.

MnMuiIDeriv(u[, v, adjoint])

Derivative of MnPropertyI 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])

Compute and return the fields for the model provided.

fieldsPair

alias of Fields1DPrimarySecondary

getA(freq)

System matrix

getADeriv(freq, u, v[, adjoint])

The derivative of A wrt sigma

getJ(m[, f])

Generate the full sensitivity matrix.

getJtJdiag(m[, W, f])

Return the diagonal of \(\mathbf{J^T J}\).

getRHS(freq)

Function to return the right hand side for the system.

getRHSDeriv(freq, src, v[, adjoint])

The derivative of the RHS wrt sigma

getSourceTerm(freq)

Returns the discrete source terms for the frequency provided.

make_synthetic_data(m[, relative_error, ...])

Make synthetic data for the model and Gaussian noise provided.

residual(m, dobs[, f])

The data residual.

getADeriv_mui

getADeriv_sigma