SimPEG.electromagnetics.frequency_domain.Simulation3DElectricField#
- class SimPEG.electromagnetics.frequency_domain.Simulation3DElectricField(mesh, survey=None, forward_only=False, permittivity=None, storeJ=False, **kwargs)[source]#
- Bases: - BaseFDEMSimulation- By eliminating the magnetic flux density using \[\mathbf{b} = \frac{1}{i \omega}\left(-\mathbf{C} \mathbf{e} + \mathbf{s_m}\right)\]- we can write Maxwell’s equations as a second order system in \(mathbf{e}\) only: \[\left(\mathbf{C}^{\top} \mathbf{M_{\mu^{-1}}^f} \mathbf{C} + i \omega \mathbf{M^e_{\sigma}} \right)\mathbf{e} = \mathbf{C}^{\top} \mathbf{M_{\mu^{-1}}^f}\mathbf{s_m} - i\omega\mathbf{M^e}\mathbf{s_e}\]- which we solve for \(\mathbf{e}\). - Parameters:
- mesh (discretize.base.BaseMesh) – mesh 
 - Attributes - Cell center inner product matrix. - Cell center property inner product matrix. - Cell center property inner product inverse matrix. - Cell center property inner product matrix. - Cell center property inner product inverse matrix. - Cell center property inner product matrix. - Cell center property inner product inverse matrix. - Cell center property inner product matrix. - Cell center property inner product inverse matrix. - Edge inner product matrix. - Edge inner product inverse matrix. - Edge property inner product matrix. - Edge property inner product inverse matrix. - Edge property inner product matrix. - Edge property inner product inverse matrix. - Edge property inner product matrix. - Edge property inner product inverse matrix. - Edge property inner product matrix. - Edge property inner product inverse matrix. - Face inner product matrix. - Face inner product inverse matrix. - Face property inner product matrix. - Face property inner product inverse matrix. - Face property inner product matrix. - Face property inner product inverse matrix. - Face property inner product matrix. - Face property inner product inverse matrix. - Face property inner product matrix. - Face property inner product inverse matrix. - Node inner product matrix. - Node inner product inverse matrix. - Node property inner product matrix. - Node property inner product inverse matrix. - Node property inner product matrix. - Node property inner product inverse matrix. - Node property inner product matrix. - Node property inner product inverse matrix. - Node property inner product matrix. - Node property inner product inverse matrix. - A list of solver objects to clean when the model is updated - SimPEG - Counterobject to store iterations and run-times.- matrices to be deleted if the model for conductivity/resistivity is updated - If True, A-inverse not stored at each frequency in forward simulation. - Mesh for the simulation. - The inversion model. - Magnetic permeability (h/m) physical property model. - Derivative of Magnetic Permeability (H/m) wrt the model. - Mapping of the inversion model to Magnetic Permeability (H/m). - Inverse magnetic permeability (m/h) physical property model. - Derivative of Inverse Magnetic Permeability (m/H) wrt the model. - Mapping of the inversion model to Inverse Magnetic Permeability (m/H). - True if a model is necessary - Dielectric permittivity (F/m) - Electrical resistivity (ohm m) physical property model. - Derivative of Electrical resistivity (Ohm m) wrt the model. - Mapping of the inversion model to Electrical resistivity (Ohm m). - Path to directory where sensitivity file is stored. - Electrical conductivity (s/m) physical property model. - Derivative of Electrical conductivity (S/m) wrt the model. - Mapping of the inversion model to Electrical conductivity (S/m). - Numerical solver used in the forward simulation. - Solver-specific parameters. - Whether to store inner product matrices - Whether to store the sensitivity matrix - The simulations survey. - Verbose progress printout. - MccI - Vol - Methods - Jtvec(m, v[, f])- Sensitivity transpose 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. - 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])- Solve the forward problem for the fields. - fieldsPair- alias of - Fields3DElectricField- getA(freq)- System matrix - getADeriv_mui(freq, u, v[, adjoint])- Product of the derivative of the system matrix with respect to the permeability model and a vector. - getADeriv_sigma(freq, u, v[, adjoint])- Product of the derivative of our system matrix with respect to the conductivity model and a vector - getJ(m[, f])- Method to form full J given a model m - getJtJdiag(m[, W, f])- Return the diagonal of JtJ - getRHS(freq)- Right hand side for the system - getRHSDeriv(freq, src, v[, adjoint])- Derivative of the Right-hand side with respect to the model. - getSourceTerm(freq)- Evaluates the sources for a given frequency and puts them in matrix form - make_synthetic_data(m[, relative_error, ...])- Make synthetic data for the model and Gaussian noise provided. - residual(m, dobs[, f])- The data residual. - getADeriv 
 
