In [1]:
# Notebook to test 1D code

In [2]:
import SimPEG as simpeg
import simpegMT as simpegmt

In [3]:
ct = 10
m1d = simpeg.Mesh.TensorMesh([[(ct,20,-1.5),(ct,100),(ct,20,1.5)]], x0=['C'])
sigma = np.zeros(m1d.nC) + 2e-3
sigma[m1d.gridCC[:]>200] = 1e-8

In [4]:
# Make the rx and src
freqs = np.logspace(3,-3,31)
rxList = []
for rxType in ['zxyr','zxyi']:
    rxList.append(simpegmt.SurveyMT.RxMT(simpeg.mkvc(np.array([405]),2).T,rxType))
# Source list
srcList =[]
for freq in freqs: 
    srcList.append(simpegmt.SurveyMT.srcMT(freq,rxList))  
survey = simpegmt.SurveyMT.SurveyMT(srcList)
problem = simpegmt.ProblemMT1D.eForm_TotalField(m1d)
problem.pair(survey)

In [5]:
fields = problem.fields(sigma)

In [7]:
fields[:,'e_1d']


Out[7]:
array([[  1.52442595e-125 -7.20764170e-126j,
          7.74672164e-101 +1.76864736e-100j,
         -2.07557099e-080 -3.74608600e-081j, ...,
          3.10393307e-001 -2.86962945e-001j,
          4.10341179e-001 -2.87349774e-001j,
          5.05105758e-001 -2.74745005e-001j],
       [  8.67440346e-030 +6.35706181e-030j,
         -1.53155881e-027 +3.75444030e-027j,
         -1.08396611e-024 -4.98500246e-026j, ...,
         -4.05147339e-001 +2.76576534e-001j,
         -4.96380502e-001 +2.67133906e-001j,
         -5.80363237e-001 +2.48768467e-001j],
       [ -6.16527128e-026 +8.41573172e-026j,
         -2.29821697e-023 -9.36787887e-024j,
          1.90707675e-022 -4.18621866e-021j, ...,
         -4.75055964e-001 +2.59780137e-001j,
         -5.57847068e-001 +2.46025119e-001j,
         -6.32948088e-001 +2.25820916e-001j],
       ..., 
       [ -4.42815267e-001 +4.54129730e-002j,
         -4.45450945e-001 +2.94352343e-002j,
         -4.46746292e-001 +1.94083017e-002j, ...,
         -7.96037136e-001 +1.08182287e-001j,
         -8.29064328e-001 +1.00291076e-001j,
         -8.58609530e-001 +9.06236881e-002j],
       [ -6.64333571e-001 +4.65810415e-002j,
         -6.66721482e-001 +2.99034482e-002j,
         -6.67823222e-001 +1.93821193e-002j, ...,
         -8.77622277e-001 +6.49094362e-002j,
         -8.97438594e-001 +6.01746869e-002j,
         -9.15165716e-001 +5.43742395e-002j],
       [  1.00000000e+000 +0.00000000e+000j,
          1.00000000e+000 +0.00000000e+000j,
          1.00000000e+000 +0.00000000e+000j, ...,
          1.00000000e+000 +0.00000000e+000j,
          1.00000000e+000 +0.00000000e+000j,
          1.00000000e+000 +0.00000000e+000j]])

In [ ]:


In [ ]:
m1d.nN

In [ ]:
self = problem
Mmui = self.MfMui
Msig = self.mesh.getFaceInnerProduct(self.curModel)
C = self.mesh.nodalGrad

In [ ]:
self

In [ ]:
Mmui

In [ ]:
self.Me[1,1]

In [ ]:
self.mesh.vol

In [ ]:
m1d.h

In [ ]:
m1d.gridCC

In [ ]: