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SrcTDEM.py
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SrcTDEM.py
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from __future__ import division, print_function
import numpy as np
from scipy.constants import mu_0
import properties
import warnings
from SimPEG import Utils
from SimPEG.Utils import Zero, Identity
from SimPEG.EM.Utils import *
from ..Base import BaseEMSrc
###############################################################################
# #
# Source Waveforms #
# #
###############################################################################
class BaseWaveform(properties.HasProperties):
hasInitialFields = properties.Bool(
"Does the waveform have initial fields?", default=False
)
offTime = properties.Float(
"off-time of the source", default=0.
)
eps = properties.Float(
"window of time within which the waveform is considered on",
default=1e-9
)
def __init__(self, **kwargs):
Utils.setKwargs(self, **kwargs)
def _assertMatchesPair(self, pair):
assert isinstance(self, pair), (
"Waveform object must be an instance of a %s "
"BaseWaveform class.".format(pair.__name__)
)
def eval(self, time):
raise NotImplementedError
def evalDeriv(self, time):
raise NotImplementedError # needed for E-formulation
class StepOffWaveform(BaseWaveform):
def __init__(self, offTime=0.):
BaseWaveform.__init__(self, offTime=offTime, hasInitialFields=True)
def eval(self, time):
if abs(time-0.) < self.eps:
return 1.
else:
return 0.
class RampOffWaveform(BaseWaveform):
def __init__(self, offTime=0.):
BaseWaveform.__init__(self, offTime=offTime, hasInitialFields=True)
def eval(self, time):
if abs(time-0.) < self.eps:
return 1.
elif time < self.offTime:
return -1. / self.offTime * (time - self.offTime)
else:
return 0.
class RawWaveform(BaseWaveform):
def __init__(self, offTime=0., waveFct=None, **kwargs):
self.waveFct = waveFct
BaseWaveform.__init__(self, offTime=offTime, **kwargs)
def eval(self, time):
return self.waveFct(time)
class TriangularWaveform(BaseWaveform):
def __init__(self, offTime=0.):
BaseWaveform.__init__(self, offTime, hasInitialFields=True)
def eval(self, time):
raise NotImplementedError(
'TriangularWaveform has not been implemented, you should write it!'
)
class VTEMWaveform(BaseWaveform):
offTime = properties.Float(
"off-time of the source", default=4.2e-3
)
peakTime = properties.Float(
"Time at which the VTEM waveform is at its peak", default=2.73e-3
)
a = properties.Float(
"parameter controlling how quickly the waveform ramps on", default=3.
)
def __init__(self, **kwargs):
BaseWaveform.__init__(self, hasInitialFields=False, **kwargs)
def eval(self, time):
if time <= self.peakTime:
return (
(1. - np.exp(-self.a*time/self.peakTime))/(1.-np.exp(-self.a))
)
elif (time < self.offTime) and (time > self.peakTime):
return -1. / (self.offTime-self.peakTime) * (time - self.offTime)
else:
return 0.
###############################################################################
# #
# Sources #
# #
###############################################################################
class BaseTDEMSrc(BaseEMSrc):
# rxPair = Rx
waveformPair = BaseWaveform #: type of waveform to pair with
waveform = None #: source waveform
srcType = None
def __init__(self, rxList, **kwargs):
super(BaseTDEMSrc, self).__init__(rxList, **kwargs)
@property
def waveform(self):
"A waveform instance is not None"
return getattr(self, '_waveform', None)
@waveform.setter
def waveform(self, val):
if self.waveform is None:
val._assertMatchesPair(self.waveformPair)
self._waveform = val
else:
self._waveform = self.StepOffWaveform(val)
def __init__(self, rxList, waveform=StepOffWaveform(), **kwargs):
self.waveform = waveform
BaseEMSrc.__init__(self, rxList, **kwargs)
def bInitial(self, prob):
return Zero()
def bInitialDeriv(self, prob, v=None, adjoint=False, f=None):
return Zero()
def eInitial(self, prob):
return Zero()
def eInitialDeriv(self, prob, v=None, adjoint=False, f=None):
return Zero()
def hInitial(self, prob):
return Zero()
def hInitialDeriv(self, prob, v=None, adjoint=False, f=None):
return Zero()
def jInitial(self, prob):
return Zero()
def jInitialDeriv(self, prob, v=None, adjoint=False, f=None):
return Zero()
def eval(self, prob, time):
s_m = self.s_m(prob, time)
s_e = self.s_e(prob, time)
return s_m, s_e
def evalDeriv(self, prob, time, v=None, adjoint=False):
if v is not None:
return (
self.s_mDeriv(prob, time, v, adjoint),
self.s_eDeriv(prob, time, v, adjoint)
)
else:
return (
lambda v: self.s_mDeriv(prob, time, v, adjoint),
lambda v: self.s_eDeriv(prob, time, v, adjoint)
)
def s_m(self, prob, time):
return Zero()
def s_e(self, prob, time):
return Zero()
def s_mDeriv(self, prob, time, v=None, adjoint=False):
return Zero()
def s_eDeriv(self, prob, time, v=None, adjoint=False):
return Zero()
class MagDipole(BaseTDEMSrc):
moment = properties.Float(
"dipole moment of the transmitter", default=1., min=0.
)
mu = properties.Float(
"permeability of the background", default=mu_0, min=0.
)
orientation = properties.Vector3(
"orientation of the source", default='Z', length=1., required=True
)
srcType = "Inductive"
def __init__(self, rxList, **kwargs):
# assert(self.orientation in ['X', 'Y', 'Z']), (
# "Orientation (right now) doesn't actually do anything! The methods"
# " in SrcUtils should take care of this..."
# )
# self.integrate = False
BaseTDEMSrc.__init__(self, rxList, **kwargs)
@properties.validator('orientation')
def _warn_non_axis_aligned_sources(self, change):
value = change['value']
axaligned = [
True for vec in [np.r_[1.,0.,0.], np.r_[0.,1.,0.], np.r_[0.,0.,1.]]
if np.all(value == vec)
]
if len(axaligned) != 1:
warnings.warn(
'non-axes aligned orientations {} are not rigorously'
' tested'.format(value)
)
def _srcFct(self, obsLoc, component):
return MagneticDipoleVectorPotential(
self.loc, obsLoc, component, mu=self.mu, moment=self.moment
)
def _aSrc(self, prob):
if prob._formulation == 'EB':
gridX = prob.mesh.gridEx
gridY = prob.mesh.gridEy
gridZ = prob.mesh.gridEz
elif prob._formulation == 'HJ':
gridX = prob.mesh.gridFx
gridY = prob.mesh.gridFy
gridZ = prob.mesh.gridFz
if prob.mesh._meshType is 'CYL':
if not prob.mesh.isSymmetric:
raise NotImplementedError(
'Non-symmetric cyl mesh not implemented yet!'
)
a = self._srcFct(gridY, 'y')
else:
ax = self._srcFct(gridX, 'x')
ay = self._srcFct(gridY, 'y')
az = self._srcFct(gridZ, 'z')
a = np.concatenate((ax, ay, az))
return a
def _bSrc(self, prob):
if prob._formulation == 'EB':
C = prob.mesh.edgeCurl
elif prob._formulation == 'HJ':
C = prob.mesh.edgeCurl.T
return C*self._aSrc(prob)
def bInitial(self, prob):
if self.waveform.hasInitialFields is False:
return Zero()
return self._bSrc(prob)
def hInitial(self, prob):
if self.waveform.hasInitialFields is False:
return Zero()
return 1./self.mu * self._bSrc(prob)
def s_m(self, prob, time):
if self.waveform.hasInitialFields is False:
# raise NotImplementedError
return Zero()
return Zero()
def s_e(self, prob, time):
C = prob.mesh.edgeCurl
b = self._bSrc(prob)
if prob._formulation == 'EB':
MfMui = prob.MfMui
if self.waveform.hasInitialFields is True and time < prob.timeSteps[1]:
# if time > 0.0:
# return Zero()
if prob._fieldType == 'b':
return Zero()
elif prob._fieldType == 'e':
# Compute s_e from vector potential
return C.T * (MfMui * b)
else:
# b = self._bfromVectorPotential(prob)
return C.T * (MfMui * b) * self.waveform.eval(time)
# return Zero()
elif prob._formulation == 'HJ':
h = 1./self.mu * b
if self.waveform.hasInitialFields is True and time < prob.timeSteps[1]:
# if time > 0.0:
# return Zero()
if prob._fieldType == 'h':
return Zero()
elif prob._fieldType == 'j':
# Compute s_e from vector potential
return C * h
else:
# b = self._bfromVectorPotential(prob)
return C * h * self.waveform.eval(time)
class CircularLoop(MagDipole):
radius = properties.Float(
"radius of the loop source", default=1., min=0.
)
# waveform = None
# loc = None
# orientation = 'Z'
# radius = None
# mu = mu_0
def __init__(self, rxList, **kwargs):
# assert(self.orientation in ['X', 'Y', 'Z']), (
# "Orientation (right now) doesn't actually do anything! The methods"
# " in SrcUtils should take care of this..."
# )
# self.integrate = False
BaseTDEMSrc.__init__(self, rxList, **kwargs)
def _srcFct(self, obsLoc, component):
return MagneticLoopVectorPotential(
self.loc, obsLoc, component, mu=self.mu, radius=self.radius
)
class LineCurrent(BaseTDEMSrc):
"""
RawVec electric source. It is defined by the user provided vector s_e
:param list rxList: receiver list
:param bool integrate: Integrate the source term (multiply by Me) [False]
"""
waveform = None
loc = None
mu = mu_0
srcType = "Galvanic"
def __init__(self, rxList, **kwargs):
self.integrate = False
BaseEMSrc.__init__(self, rxList, **kwargs)
def Mejs(self, prob):
if getattr(self, '_Mejs', None) is None:
x0 = prob.mesh.x0
hx = prob.mesh.hx
hy = prob.mesh.hy
hz = prob.mesh.hz
px = self.loc[:, 0]
py = self.loc[:, 1]
pz = self.loc[:, 2]
self._Mejs = getSourceTermLineCurrentPolygon(x0, hx, hy, hz,
px, py, pz)
return self._Mejs
def getRHSdc(self, prob):
Grad = prob.mesh.nodalGrad
return Grad.T*self.Mejs(prob)
# TODO: Need to implement solving MMR for this when
# StepOffwaveforme is used.
def bInitial(self, prob):
if self.waveform.eval(0) == 1.:
raise Exception("Not implemetned for computing b!")
else:
return Zero()
def eInitial(self, prob):
if self.waveform.hasInitialFields:
RHSdc = self.getRHSdc(prob)
soldc = prob.Adcinv * RHSdc
return - prob.mesh.nodalGrad * soldc
else:
return Zero()
def eInitialDeriv(self, prob, v=None, adjoint=False, f=None):
if self.waveform.hasInitialFields:
edc = f[self, 'e', 0]
Grad = prob.mesh.nodalGrad
if adjoint is False:
AdcDeriv_v = prob.getAdcDeriv(edc, v, adjoint=adjoint)
edcDeriv = Grad * (prob.Adcinv * AdcDeriv_v)
return edcDeriv
elif adjoint is True:
vec = prob.Adcinv * (Grad.T * v)
edcDerivT = prob.getAdcDeriv(edc, vec, adjoint=adjoint)
return edcDerivT
else:
return Zero()
def s_m(self, prob, time):
return Zero()
def s_e(self, prob, time):
return self.Mejs(prob) * self.waveform.eval(time)