from SimPEG import Problem, Utils, np, sp, Solver as SimpegSolver from scipy.constants import mu_0 from SurveyFDEM import SurveyFDEM, DataFDEM, FieldsFDEM from simpegEM.Utils import Sources def omega(freq): """Change frequency to angular frequency, omega""" return 2.*np.pi*freq class BaseProblemFDEM(Problem.BaseProblem): """ Frequency-Domain EM problem - E-formulation .. math:: \dcurl E + i \omega B = 0 \\\\ \dcurl^\\top \MfMui B - \MeSig E = \Me \j_s """ def __init__(self, model, **kwargs): Problem.BaseProblem.__init__(self, model, **kwargs) solType = 'b' storeTheseFields = 'e' surveyPair = SurveyFDEM dataPair = DataFDEM Solver = SimpegSolver solverOpts = {} #################################################### # Mass Matrices #################################################### @property def MfMui(self): return self._MfMui @property def Me(self): return self._Me @property def MeSigma(self): return self._MeSigma @property def MeSigmaI(self): return self._MeSigmaI def makeMassMatrices(self, m): #TODO: hardcoded to sigma as the model sigma = self.model.transform(m) self._Me = self.mesh.getEdgeInnerProduct() self._MeSigma = self.mesh.getEdgeInnerProduct(sigma) # TODO: this will not work if tensor conductivity self._MeSigmaI = Utils.sdiag(1/self.MeSigma.diagonal()) #TODO: assuming constant mu self._MfMui = self.mesh.getFaceInnerProduct(1/mu_0) class ProblemFDEM_e(BaseProblemFDEM): """ Solving for e! """ def __init__(self, model, **kwargs): BaseProblemFDEM.__init__(self, model, **kwargs) def getA(self, freq): """ :param float freq: Frequency :rtype: scipy.sparse.csr_matrix :return: A """ return self.mesh.edgeCurl.T*self.MfMui*self.mesh.edgeCurl + 1j*omega(freq)*self.MeSigma def getRHS(self, freq): """ :param float freq: Frequency :rtype: numpy.ndarray (nE, nTx) :return: RHS """ Txs = self.survey.getTransmitters(freq) rhs = range(len(Txs)) for i, tx in enumerate(Txs): if tx.txType == 'VMD': src = Sources.MagneticDipoleVectorPotential else: raise NotImplemented('%s txType is not implemented' % tx.txType) SRCx = src(tx.loc, self.mesh.gridEx, 'x') SRCy = src(tx.loc, self.mesh.gridEy, 'y') SRCz = src(tx.loc, self.mesh.gridEz, 'z') rhs[i] = np.concatenate((SRCx, SRCy, SRCz)) a = np.concatenate(rhs).reshape((self.mesh.nE, len(Txs)), order='F') C = self.mesh.edgeCurl j_s = C.T*self.MfMui*C*a #TODO: self.Me* ?? return -1j*omega(freq)*j_s def fields(self, m, useThisRhs=None): RHS = useThisRhs or self.getRHS self.makeMassMatrices(m) F = FieldsFDEM(self.mesh, self.survey) for freq in self.survey.freqs: A = self.getA(freq) rhs = self.getRHS(freq) solver = self.Solver(A, **self.solverOpts) e = solver.solve(rhs) F[freq, 'e'] = e b = -1./(1j*omega(freq))*self.mesh.edgeCurl*e F[freq, 'b'] = b return F def Jvec(self, m, v, u=None): if u is None: u = self.fields(m) Jv = self.dataPair(self.survey) sig = self.model.transform(m) dsig_dm = self.model.transformDeriv(m) for i, freq in enumerate(self.survey.freqs): e = u[freq, 'e'] A = self.getA(freq) solver = self.Solver(A, **self.solverOpts) for txi, tx in enumerate(self.survey.getTransmitters(freq)): dMe_dsig = self.mesh.getEdgeInnerProductDeriv(sig, v=e[:,txi]) P = tx.projectFieldsDeriv(self.mesh, u) b = 1j*omega(freq) * ( dMe_dsig * ( dsig_dm * v ) ) Ainvb = solver.solve(b) Jv[tx] = -P*Ainvb return Utils.mkvc(Jv) def Jtvec(self, m, v, u=None): if u is None: u = self.fields(m) # Ensure v is a data object. if not isinstance(v, self.dataPair): v = self.dataPair(self.survey, v) Jtv = np.zeros(self.model.nP, dtype=complex) sig = self.model.transform(m) dsig_dm = self.model.transformDeriv(m) for i, freq in enumerate(self.survey.freqs): e = u[freq, 'e'] AT = self.getA(freq).T solver = self.Solver(AT, **self.solverOpts) for txi, tx in enumerate(self.survey.getTransmitters(freq)): dMe_dsig = self.mesh.getEdgeInnerProductDeriv(sig, v=e[:,txi]) P = tx.projectFieldsDeriv(self.mesh, u) w = solver.solve(P.T * v[tx]) Jtv += - 1j*omega(freq) * ( dsig_dm.T * ( dMe_dsig.T * w ) ) return Jtv class ProblemFDEM_b(BaseProblemFDEM): """ Solving for b! """ def __init__(self, model, **kwargs): BaseProblemFDEM.__init__(self, model, **kwargs) def getA(self, freq): """ :param float freq: Frequency :rtype: scipy.sparse.csr_matrix :return: A """ return self.MfMui*self.mesh.edgeCurl*self.MeSigmaI*self.mesh.edgeCurl.T*self.MfMui + 1j*omega(freq)*self.MfMui def getRHS(self, freq): """ :param float freq: Frequency :rtype: numpy.ndarray (nE, nTx) :return: RHS """ Txs = self.survey.getTransmitters(freq) rhs = range(len(Txs)) for i, tx in enumerate(Txs): if tx.txType == 'VMD': src = Sources.MagneticDipoleVectorPotential else: raise NotImplemented('%s txType is not implemented' % tx.txType) SRCx = src(tx.loc, self.mesh.gridEx, 'x') SRCy = src(tx.loc, self.mesh.gridEy, 'y') SRCz = src(tx.loc, self.mesh.gridEz, 'z') rhs[i] = np.concatenate((SRCx, SRCy, SRCz)) a = np.concatenate(rhs).reshape((self.mesh.nE, len(Txs)), order='F') C = self.mesh.edgeCurl b_0 = C*a return -1j*omega(freq)*self.MfMui*b_0 def fields(self, m, useThisRhs=None): RHS = useThisRhs or self.getRHS self.makeMassMatrices(m) F = FieldsFDEM(self.mesh, self.survey) for freq in self.survey.freqs: A = self.getA(freq) rhs = self.getRHS(freq) solver = self.Solver(A, **self.solverOpts) #Note that we are solving for b_s b = solver.solve(rhs) F[freq, 'b'] = b e = self.MeSigmaI*self.mesh.edgeCurl.T*self.MfMui*b F[freq, 'e'] = e return F def Jvec(self, m, v, u=None): if u is None: u = self.fields(m) raise NotImplemented('') # Jv = self.dataPair(self.survey) # sig = self.model.transform(m) # dsig_dm = self.model.transformDeriv(m) # for i, freq in enumerate(self.survey.freqs): # e = u[freq, 'e'] # A = self.getA(freq) # solver = self.Solver(A, **self.solverOpts) # for txi, tx in enumerate(self.survey.getTransmitters(freq)): # dMe_dsig = self.mesh.getEdgeInnerProductDeriv(sig, v=e[:,txi]) # P = tx.projectFieldsDeriv(self.mesh, u) # b = 1j*omega(freq) * ( dMe_dsig * ( dsig_dm * v ) ) # Ainvb = solver.solve(b) # Jv[tx] = -P*Ainvb # return Utils.mkvc(Jv) def Jtvec(self, m, v, u=None): if u is None: u = self.fields(m) # Ensure v is a data object. if not isinstance(v, self.dataPair): v = self.dataPair(self.survey, v) raise NotImplemented('') # Jtv = np.zeros(self.model.nP, dtype=complex) # sig = self.model.transform(m) # dsig_dm = self.model.transformDeriv(m) # for i, freq in enumerate(self.survey.freqs): # e = u[freq, 'e'] # AT = self.getA(freq).T # solver = self.Solver(AT, **self.solverOpts) # for txi, tx in enumerate(self.survey.getTransmitters(freq)): # dMe_dsig = self.mesh.getEdgeInnerProductDeriv(sig, v=e[:,txi]) # P = tx.projectFieldsDeriv(self.mesh, u) # w = solver.solve(P.T * v[tx]) # Jtv += - 1j*omega(freq) * ( dsig_dm.T * ( dMe_dsig.T * w ) ) # return Jtv