SimPEG.electromagnetics.frequency_domain.sources.RawVec_e#
- class SimPEG.electromagnetics.frequency_domain.sources.RawVec_e(receiver_list, frequency, s_e, **kwargs)[source]#
- Bases: - BaseFDEMSrc- User-provided electric source term (s_e) class. - Parameters:
- receiver_listlistofSimPEG.electromagnetics.frequency_domain.receivers.BaseRx
- A list of FDEM receivers 
- frequencyfloat
- Source frequency 
- s_e: numpy.ndarray
- Electric source term 
- integratebool, default: False
- If - True, integrate the source term; i.e. multiply by Me matrix
 
- receiver_list
 - Attributes - Source frequency - Integrated source term - Source location - Number of data associated with the source. - List of receivers associated with the source - Universal unique identifier - Vector number of data. - Methods - bPrimary(simulation)- Compute primary magnetic flux density - bPrimaryDeriv(simulation, v[, adjoint])- Compute derivative of primary magnetic flux density times a vector - ePrimary(simulation)- Compute primary electric field - ePrimaryDeriv(simulation, v[, adjoint])- Compute derivative of primary electric field times a vector - eval(simulation)- Return magnetic and electric source terms - evalDeriv(simulation[, v, adjoint])- Return derivative of the magnetic and electric source terms with respect to the model. - get_receiver_indices(receivers)- Get indices for a subset of receivers within the source's receivers list. - hPrimary(simulation)- Compute primary magnetic field - hPrimaryDeriv(simulation, v[, adjoint])- Compute derivative of primary magnetic field times a vector - jPrimary(simulation)- Compute primary current density - jPrimaryDeriv(simulation, v[, adjoint])- Compute derivative of primary current density times a vector - s_e(simulation)- Electric source term (s_e) - s_eDeriv(simulation, v[, adjoint])- Derivative of electric source term with respect to the inversion model - s_m(simulation)- Magnetic source term - s_mDeriv(simulation, v[, adjoint])- Derivative of magnetic source term with respect to the inversion model 
 
