Files
simpeg/simpegEM/Tests/test_forward_EMproblem.py
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2014-02-12 15:55:56 -08:00

171 lines
5.4 KiB
Python

import unittest
from SimPEG import *
import simpegEM as EM
from scipy.constants import mu_0
from simpegEM.Utils.Ana import hzAnalyticDipoleT
class TDEM_bTests(unittest.TestCase):
def setUp(self):
cs = 5.
ncx = 20
ncy = 6
npad = 20
hx = Utils.meshTensors(((0,cs), (ncx,cs), (npad,cs)))
hy = Utils.meshTensors(((npad,cs), (ncy,cs), (npad,cs)))
mesh = Mesh.Cyl1DMesh([hx,hy], -hy.sum()/2)
model = Model.Vertical1DModel(mesh)
opts = {'txLoc':0.,
'txType':'VMD_MVP',
'rxLoc':np.r_[150., 0.],
'rxType':'bz',
'timeCh':np.logspace(-4,-2,20),
}
self.dat = EM.TDEM.DataTDEM1D(**opts)
self.prb = EM.TDEM.ProblemTDEM_b(mesh, model)
self.prb.setTimes([1e-5, 5e-5, 2.5e-4], [150, 150, 150])
self.sigma = np.ones(mesh.nCz)*1e-8
self.sigma[mesh.vectorCCz<0] = 0.1
self.prb.pair(self.dat)
def test_analitic_b(self):
bz_calc = self.dat.dpred(self.sigma)
bz_ana = mu_0*hzAnalyticDipoleT(self.dat.rxLoc[0], self.prb.times, self.sigma[0])
diff = np.linalg.norm(bz_calc.flatten() - bz_ana.flatten())/np.linalg.norm(bz_ana.flatten())
self.assertTrue(diff<0.05)
class TDEM_bDerivTests(unittest.TestCase):
def setUp(self):
cs = 5.
ncx = 20
ncy = 6
npad = 20
hx = Utils.meshTensors(((0,cs), (ncx,cs), (npad,cs)))
hy = Utils.meshTensors(((npad,cs), (ncy,cs), (npad,cs)))
mesh = Mesh.Cyl1DMesh([hx,hy], -hy.sum()/2)
model = Model.Vertical1DModel(mesh)
opts = {'txLoc':0.,
'txType':'VMD_MVP',
'rxLoc':np.r_[150., 0.],
'rxType':'bz',
'timeCh':np.logspace(-4,-2,20),
}
self.dat = EM.TDEM.DataTDEM1D(**opts)
self.prb = EM.TDEM.ProblemTDEM_b(mesh, model)
self.prb.setTimes([1e-5, 5e-5, 2.5e-4], [10, 10, 10])
self.sigma = np.ones(mesh.nCz)*1e-8
self.sigma[mesh.vectorCCz<0] = 0.1
self.prb.pair(self.dat)
def test_AhVec(self):
"""
Test that fields and AhVec produce consistent results
"""
sigma = np.ones(self.prb.mesh.nCz)*1e-8
sigma[self.prb.mesh.vectorCCz<0] = 0.1
u = self.prb.fields(sigma)
Ahu = self.prb.AhVec(sigma, u)
self.assertTrue(np.linalg.norm(Ahu.get_b(0)-1/self.prb.getDt(0)*u.get_b(-1))/np.linalg.norm(u.get_b(0)) < 1.e-2)
self.assertTrue(np.linalg.norm(Ahu.get_e(0))/np.linalg.norm(u.get_e(0)) < 1.e-2)
for i in range(1,u.nTimes):
self.assertTrue(np.linalg.norm(Ahu.get_b(i))/np.linalg.norm(u.get_b(i)) < 1.e-2)
self.assertTrue(np.linalg.norm(Ahu.get_e(i))/np.linalg.norm(u.get_e(i)) < 1.e-2)
def test_AhVecVSMat_OneTS(self):
self.prb.setTimes([1e-5], [1])
sigma = np.ones(self.prb.mesh.nCz)*1e-8
sigma[self.prb.mesh.vectorCCz<0] = 0.1
self.prb.makeMassMatrices(sigma)
dt = self.prb.getDt(0)
a11 = 1/dt*sp.eye(self.prb.mesh.nF)
a12 = self.prb.mesh.edgeCurl
a21 = self.prb.mesh.edgeCurl.T*self.prb.MfMui
a22 = -self.prb.MeSigma
A = sp.bmat([[a11,a12],[a21,a22]])
f = self.prb.fields(sigma)
u1 = A*f.fieldVec()
u2 = self.prb.AhVec(sigma,f).fieldVec()
self.assertTrue(np.linalg.norm(u1-u2)<1e-12)
def test_solveAhVSMat_OneTS(self):
self.prb.setTimes([1e-5], [1])
sigma = np.ones(self.prb.mesh.nCz)*1e-8
sigma[self.prb.mesh.vectorCCz<0] = 0.1
self.prb.makeMassMatrices(sigma)
dt = self.prb.getDt(0)
a11 = 1/dt*sp.eye(self.prb.mesh.nF)
a12 = self.prb.mesh.edgeCurl
a21 = self.prb.mesh.edgeCurl.T*self.prb.MfMui
a22 = -self.prb.MeSigma
A = sp.bmat([[a11,a12],[a21,a22]])
f = self.prb.fields(sigma)
f.set_b(np.zeros((self.prb.mesh.nF,1)),0)
f.set_e(np.random.rand(self.prb.mesh.nE,1),0)
u1 = self.prb.solveAh(sigma,f).fieldVec().flatten()
u2 = sp.linalg.spsolve(A.tocsr(),f.fieldVec())
self.assertTrue(np.linalg.norm(u1-u2)<1e-8)
def test_solveAhVsAhVec(self):
prb = self.prb
mesh = self.prb.mesh
sigma = np.ones(self.prb.mesh.nCz)*1e-8
sigma[self.prb.mesh.vectorCCz<0] = 0.1
self.prb.makeMassMatrices(sigma)
f = EM.TDEM.FieldsTDEM(prb.mesh, 1, prb.times.size, 'b')
for i in range(f.nTimes):
f.set_b(np.zeros((mesh.nF, 1)), i)
f.set_e(np.random.rand(mesh.nE, 1), i)
Ahf = prb.AhVec(sigma, f)
f_test = prb.solveAh(sigma, Ahf)
u1 = f.fieldVec()
u2 = f_test.fieldVec()
self.assertTrue(np.linalg.norm(u1-u2)<1e-8)
def test_DerivG(self):
"""
Test the derivative of c with respect to sigma
"""
# Random model and perturbation
sigma = np.random.rand(self.prb.mesh.nCz)
f = self.prb.fields(sigma)
dm = np.random.rand(self.prb.mesh.nCz)
h = 1.
a = np.linalg.norm(self.prb.AhVec(sigma+h*dm, f).fieldVec() - self.prb.AhVec(sigma, f).fieldVec())
b = np.linalg.norm(self.prb.AhVec(sigma+h*dm, f).fieldVec() - self.prb.AhVec(sigma, f).fieldVec() - h*self.prb.G(sigma, dm, u=f).fieldVec())
# Assuming that the gradient is exact to machine precision
self.assertTrue(b<1e-16)
if __name__ == '__main__':
unittest.main()