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simpeg/simpegEM/TDEM/BaseTDEM.py
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183 lines
5.7 KiB
Python

from SimPEG import Utils, Solver
from SimPEG.Data import BaseData
from SimPEG.Problem import BaseProblem
from simpegEM.Utils import Sources
import numpy as np
class DataTDEM1D(BaseData):
"""
docstring for DataTDEM1D
"""
txLoc = None #: txLoc
txType = None #: txType
rxLoc = None #: rxLoc
rxType = None #: rxType
timeCh = None #: timeCh
def __init__(self, **kwargs):
BaseData.__init__(self, **kwargs)
Utils.setKwargs(self, **kwargs)
def dpred(self, sigma, F=None):
if F is None: F = self.prob.field(sigma)
return self.Qrx.dot(F.b[:,:,0].T)
####################################################
# Interpolation Matrices
####################################################
@property
def Qrx(self):
if self._Qrx is None:
if self.rxType == 'bz':
locType = 'fz'
self._Qrx = self.prob.mesh.getInterpolationMat(self.rxLoc, locType=locType)
return self._Qrx
_Qrx = None
class MixinInitialFieldCalc(object):
"""docstring for MixinInitialFieldCalc"""
def getInitialFields(self):
if self.data.txType == 'VMD_MVP':
# Vertical magnetic dipole, magnetic vector potential
F = self._getInitialFields_VMD_MVP()
else:
exStr = 'Invalid txType: ' + str(self.data.txType)
raise Exception(exStr)
return F
def _getInitialFields_VMD_MVP(self):
if self.mesh._meshType is 'CYL1D':
MVP = Sources.MagneticDipoleVectorPotential(np.r_[0,0,self.data.txLoc], np.c_[np.zeros(self.mesh.nN), self.mesh.gridN], 'x')
elif self.mesh._meshType is 'TENSOR':
MVPx = Sources.MagneticDipoleVectorPotential(self.data.txLoc, self.mesh.gridEx, 'x')
MVPy = Sources.MagneticDipoleVectorPotential(self.data.txLoc, self.mesh.gridEy, 'y')
MVPz = Sources.MagneticDipoleVectorPotential(self.data.txLoc, self.mesh.gridEz, 'z')
MVP = np.concatenate((MVPx, MVPy, MVPz))
# Initialize field object
F = FieldsTDEM(self.mesh, 1, self.times.size, 'b')
# Set initial B
F.b0 = self.mesh.edgeCurl*MVP
return F
class MixinTimeStuff(object):
"""docstring for MixinTimeStuff"""
def dt():
doc = "Size of time steps"
def fget(self):
return self._dt
def fdel(self):
del self._dt
return locals()
dt = property(**dt())
def nsteps():
doc = "Number of steps to take"
def fget(self):
return self._nsteps
def fdel(self):
del self._nsteps
return locals()
nsteps = property(**nsteps())
def times():
doc = "Modelling times"
def fget(self):
t = np.r_[1:self.nsteps[0]+1]*self.dt[0]
for i in range(1,self.dt.size):
t = np.r_[t, np.r_[1:self.nsteps[i]+1]*self.dt[i]+t[-1]]
return t
return locals()
times = property(**times())
def getDt(self, tInd):
return np.concatenate([self.dt[i].repeat(self.nsteps[i]) for i in range(self.dt.size)])[tInd]
def setTimes(self, dt, nsteps):
dt = np.array(dt)
nsteps = np.array(nsteps)
assert dt.size==nsteps.size, "dt, nsteps must be same length"
self._dt = dt
self._nsteps = nsteps
class ProblemBaseTDEM(MixinTimeStuff, MixinInitialFieldCalc, BaseProblem):
"""docstring for ProblemTDEM1D"""
def __init__(self, mesh, model, **kwargs):
BaseProblem.__init__(self, mesh, model, **kwargs)
solveOpts = {'factorize':True,'backend':'scipy'}
def field(self, m):
F = self.getInitialFields()
dtFact = None
for tInd, t in enumerate(self.times):
dt = self.getDt(tInd)
if dt!=dtFact:
dtFact = dt
A = self.getA(tInd)
print 'Factoring... (dt = ' + str(dt) + ')'
Asolve = Solver(A,options=self.solveOpts)
print 'Done'
rhs = self.getRHS(tInd, F)
sol = Asolve.solve(rhs)
if sol.ndim == 1:
sol.shape = (sol.size,1)
F.update(sol, tInd, self.solType)
return F
class FieldsTDEM(object):
"""docstring for FieldsTDEM"""
phi0 = None #: Initial electric potential
A0 = None #: Initial magnetic vector potential
e0 = None #: Initial electric field
b0 = None #: Initial magnetic flux density
j0 = None #: Initial current density
h0 = None #: Initial magnetic field
phi = None #: Electric potential
A = None #: Magnetic vector potential
e = None #: Electric field
b = None #: Magnetic flux density
j = None #: Current density
h = None #: Magnetic field
def __init__(self, mesh, nTx, nTimes, store):
self.nTimes = nTimes #: Number of times
self.nTx = nTx #: Number of transmitters
self.mesh = mesh
def update(self, sol, tInd, solType):
if solType == 'b':
self.set_b(sol, tInd)
else:
errStr = 'solType: ' + solType
raise NotImplementedError(errStr)
####################################################
# Get Methods
####################################################
def get_b(self, ind):
if ind == -1:
return self.b0
else:
return self.b[ind,:,:]
####################################################
# Set Methods
####################################################
def set_b(self, b, ind):
if self.b is None:
self.b = np.zeros((self.nTimes, np.sum(self.mesh.nF), self.nTx))
self.b[:] = np.nan
self.b[ind, :] = b