Files
simpeg/simpegPF/Tests/test_sensitivity_PFproblem.py
T
2014-04-15 14:59:25 -07:00

312 lines
11 KiB
Python

import unittest
from SimPEG import *
from simpegPF import BaseMag
import matplotlib.pyplot as plt
import simpegPF as PF
from scipy.constants import mu_0
class MagSensProblemTests(unittest.TestCase):
def setUp(self):
hxind = ((5,25,1.3),(21, 25.),(5,25,1.3))
hyind = ((5,25,1.3),(21, 25.),(5,25,1.3))
hzind = ((5,25,1.3),(20, 25.),(5,25,1.3))
hx, hy, hz = Utils.meshTensors(hxind, hyind, hzind)
M = Mesh.TensorMesh([hx, hy, hz], [-hx.sum()/2,-hy.sum()/2,-hz.sum()/2])
chibkg = 0.001
chiblk = 0.01
chi = np.ones(M.nC)*chibkg
Inc = 90.
Dec = 0.
Btot = 51000
b0 = PF.MagAnalytics.IDTtoxyz(Inc, Dec, Btot)
sph_ind = PF.MagAnalytics.spheremodel(M, 0., 0., 0., 100)
chi[sph_ind] = chiblk
model = PF.BaseMag.BaseMagMap(M)
survey = BaseMag.BaseMagSurvey()
survey.setBackgroundField(Inc, Dec, Btot)
xr = np.linspace(-300, 300, 41)
yr = np.linspace(-300, 300, 41)
X, Y = np.meshgrid(xr, yr)
Z = np.ones((xr.size, yr.size))*150
rxLoc = np.c_[Utils.mkvc(X), Utils.mkvc(Y), Utils.mkvc(Z)]
survey.rxLoc = rxLoc
prob = PF.Magnetics.MagneticsDiffSecondary(M, mapping=model)
prob.pair(survey)
dpre = survey.dpred(chi)
fields = prob.fields(chi)
self.u = fields['u']
self.B = fields['B']
self.survey = survey
self.model = model
self.prob = prob
self.M = M
self.chi = chi
# def test_mass(self):
# print '\n >>Derivative for MfMuI works.'
# mu = self.model.transform(self.chi)
# def MfmuI(mu):
# chi = mu/mu_0-1
# self.prob.makeMassMatrices(chi)
# vol = self.prob.mesh.vol
# aveF2CC = self.prob.mesh.aveF2CC
# MfMuI = self.prob.MfMuI.diagonal()
# return MfMuI
# def dMfmuI(mu, v):
# chi = mu/mu_0-1
# self.prob.makeMassMatrices(chi)
# vol = self.prob.mesh.vol
# aveF2CC = self.prob.mesh.aveF2CC
# MfMuI = self.prob.MfMuI.diagonal()
# dMfMuI = Utils.sdiag(MfMuI**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
# return dMfMuI*v
# d_mu = mu*0.8
# derChk = lambda m: [MfmuI(m), lambda mx: dMfmuI(self.chi, mx)]
# passed = Tests.checkDerivative(derChk, mu, num=4, dx = d_mu, plotIt=False)
# self.assertTrue(passed)
# def test_dCdm_Av(self):
# print '\n >>Derivative for Cm_A.'
# Div = self.prob._Div
# vol = self.prob.mesh.vol
# aveF2CC = self.prob.mesh.aveF2CC
# def Cm_A(chi):
# dmudm = self.model.transformDeriv(chi)
# u = self.u
# # chi = mu/mu_0-1
# self.prob.makeMassMatrices(chi)
# mu = self.model.transform(self.chi)
# A = self.prob.getA(self.chi)
# MfMuIvec = 1/self.prob.MfMui.diagonal()
# dMfMuI = Utils.sdiag(MfMuIvec**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
# Cm_A = A*u
# return Cm_A
# def dCdm_A(chi, v):
# dmudm = self.model.transformDeriv(chi)
# u = self.u
# self.prob.makeMassMatrices(chi)
# mu = self.model.transform(self.chi)
# A = self.prob.getA(self.chi)
# MfMuIvec = 1/self.prob.MfMui.diagonal()
# dMfMuI = Utils.sdiag(MfMuIvec**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
# Cm_A = A*u
# dCdm_A = Div * ( Utils.sdiag( Div.T * u )* dMfMuI *dmudm )
# return dCdm_A*v
# d_chi = self.chi*0.8
# derChk = lambda m: [Cm_A(m), lambda mx: dCdm_A(self.chi, mx)]
# passed = Tests.checkDerivative(derChk, self.chi, num=4, dx = d_chi, plotIt=False)
# self.assertTrue(passed)
# def test_dCdmu_RHS(self):
# print '\n >>Derivative for Cm_RHS.'
# u = self.u
# Div = self.prob._Div
# mu = self.model.transform(self.chi)
# vol = self.prob.mesh.vol
# Mc = Utils.sdiag(vol)
# aveF2CC = self.prob.mesh.aveF2CC
# B0 = self.prob.getB0()
# Dface = self.prob.mesh.faceDiv
# def Cm_RHS(chi):
# self.prob.makeMassMatrices(chi)
# dmudm = self.model.transformDeriv(chi)
# dchidmu = Utils.sdiag(1/(dmudm.diagonal()))
# Bbc, Bbc_const = PF.MagAnalytics.CongruousMagBC(self.prob.mesh, self.survey.B0, chi)
# MfMuIvec = 1/self.prob.MfMui.diagonal()
# dMfMuI = Utils.sdiag(MfMuIvec**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
# RHS1 = Div*self.prob.MfMuI*self.prob.MfMu0*B0
# RHS2 = Mc*Dface*self.prob._Pout.T*Bbc
# RHS = RHS1 + RHS2 + Div*B0
# return RHS
# def dCdm_RHS(chi, v):
# self.prob.makeMassMatrices(chi)
# dmudm = self.model.transformDeriv(chi)
# dmdmu = Utils.sdiag(1/(dmudm.diagonal()))
# Bbc, Bbc_const = PF.MagAnalytics.CongruousMagBC(self.prob.mesh, self.survey.B0, chi)
# MfMuIvec = 1/self.prob.MfMui.diagonal()
# dMfMuI = Utils.sdiag(MfMuIvec**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
# dCdm_RHS1 = Div * (Utils.sdiag( self.prob.MfMu0*B0 ) * dMfMuI)
# temp1 = (Dface*(self.prob._Pout.T*Bbc_const*Bbc))
# dCdm_RHS2v = (Utils.sdiag(vol)*temp1)*np.inner(vol, v)
# dCdm_RHSv = dCdm_RHS1*(dmudm*v) + dCdm_RHS2v
# return dCdm_RHSv
# d_chi = self.chi*0.8
# derChk = lambda m: [Cm_RHS(m), lambda mx: dCdm_RHS(self.chi, mx)]
# passed = Tests.checkDerivative(derChk, self.chi, num=4, dx = d_chi, plotIt=False)
# self.assertTrue(passed)
# def test_dudm(self):
# print ">> Derivative test for dudm"
# u = self.u
# Div = self.prob._Div
# mu = self.model.transform(self.chi)
# vol = self.prob.mesh.vol
# Mc = Utils.sdiag(vol)
# aveF2CC = self.prob.mesh.aveF2CC
# B0 = self.prob.getB0()
# Dface = self.prob.mesh.faceDiv
# def ufun(chi):
# u = self.prob.fields(chi)['u']
# return u
# def dudm(chi, v):
# chi = mu/mu_0-1
# self.prob.makeMassMatrices(chi)
# u = self.u
# dmudm = self.model.transformDeriv(chi)
# dmdmu = Utils.sdiag(1/(dmudm.diagonal()))
# Bbc, Bbc_const = PF.MagAnalytics.CongruousMagBC(self.prob.mesh, self.survey.B0, chi)
# MfMuIvec = 1/self.prob.MfMui.diagonal()
# dMfMuI = Utils.sdiag(MfMuIvec**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
# dCdu = self.prob.getA(chi)
# dCdm_A = Div * ( Utils.sdiag( Div.T * u )* dMfMuI *dmudm )
# dCdm_RHS1 = Div * (Utils.sdiag( self.prob.MfMu0*B0 ) * dMfMuI)
# temp1 = (Dface*(self.prob._Pout.T*Bbc_const*Bbc))
# dCdm_RHS2v = (Utils.sdiag(vol)*temp1)*np.inner(vol, v)
# dCdm_RHSv = dCdm_RHS1*(dmudm*v) + dCdm_RHS2v
# dCdm_v = dCdm_A*v - dCdm_RHSv
# m1 = sp.linalg.interface.aslinearoperator(Utils.sdiag(1/dCdu.diagonal()))
# sol, info = sp.linalg.bicgstab(dCdu, dCdm_v, tol=1e-8, maxiter=1000, M=m1)
# dudm = -sol
# return dudm
# d_chi = 10.0*self.chi #np.random.rand(mesh.nCz)
# d_sph_ind = PF.MagAnalytics.spheremodel(self.prob.mesh, 0., 0., -50., 50)
# d_chi[d_sph_ind] = 0.1
# derChk = lambda m: [ufun(m), lambda mx: dudm(self.chi, mx)]
# # TODO: I am not sure why the order get worse as step decreases .. --;
# passed = Tests.checkDerivative(derChk, self.chi, num=2, dx = d_chi, plotIt=False)
# self.assertTrue(passed)
# def test_dBdm(self):
# print ">> Derivative test for dBdm"
# u = self.u
# Div = self.prob._Div
# mu = self.model.transform(self.chi)
# vol = self.prob.mesh.vol
# Mc = Utils.sdiag(vol)
# aveF2CC = self.prob.mesh.aveF2CC
# B0 = self.prob.getB0()
# Dface = self.prob.mesh.faceDiv
# def Bfun(chi):
# B = self.prob.fields(chi)['B']
# return B
# def dBdm(chi, v):
# chi = mu/mu_0-1
# self.prob.makeMassMatrices(chi)
# u = self.u
# dmudm = self.model.transformDeriv(chi)
# dmdmu = Utils.sdiag(1/(dmudm.diagonal()))
# Bbc, Bbc_const = PF.MagAnalytics.CongruousMagBC(self.prob.mesh, self.survey.B0, chi)
# MfMuIvec = 1/self.prob.MfMui.diagonal()
# dMfMuI = Utils.sdiag(MfMuIvec**2)*aveF2CC.T*Utils.sdiag(vol*1./mu**2)
# dCdu = self.prob.getA(chi)
# dCdm_A = Div * ( Utils.sdiag( Div.T * u )* dMfMuI *dmudm )
# dCdm_RHS1 = Div * (Utils.sdiag( self.prob.MfMu0*B0 ) * dMfMuI)
# temp1 = (Dface*(self.prob._Pout.T*Bbc_const*Bbc))
# dCdm_RHS2v = (Utils.sdiag(vol)*temp1)*np.inner(vol, v)
# dCdm_RHSv = dCdm_RHS1*(dmudm*v) + dCdm_RHS2v
# dCdm_v = dCdm_A*v - dCdm_RHSv
# m1 = sp.linalg.interface.aslinearoperator(Utils.sdiag(1/dCdu.diagonal()))
# sol, info = sp.linalg.bicgstab(dCdu, dCdm_v, tol=1e-8, maxiter=1000, M=m1)
# dudm = -sol
# dBdmv = ( Utils.sdiag(self.prob.MfMu0*B0)*(dMfMuI * (dmudm*v)) \
# - Utils.sdiag(Div.T*u)*(dMfMuI* (dmudm*v)) \
# - self.prob.MfMuI*(Div.T* (dudm)) )
# return dBdmv
# d_chi = 10.0*self.chi #np.random.rand(mesh.nCz)
# d_sph_ind = PF.MagAnalytics.spheremodel(self.prob.mesh, 0., 0., -50., 50)
# d_chi[d_sph_ind] = 0.1
# derChk = lambda m: [Bfun(m), lambda mx: dBdm(self.chi, mx)]
# # TODO: I am not sure why the order get worse as step decreases .. --;
# passed = Tests.checkDerivative(derChk, self.chi, num=2, dx = d_chi, plotIt=False)
# self.assertTrue(passed)
def test_Jvec(self):
print ">> Derivative test for Jvec"
d_chi = 10.0*self.chi #np.random.rand(mesh.nCz)
d_sph_ind = PF.MagAnalytics.spheremodel(self.prob.mesh, 0., 0., -50., 50)
d_chi[d_sph_ind] = 0.1
derChk = lambda m: (self.survey.dpred(m), lambda v: self.prob.Jvec(m, v))
# TODO: I am not sure why the order get worse as step decreases .. --;
passed = Tests.checkDerivative(derChk, self.chi, num=2, dx = d_chi, plotIt=False)
self.assertTrue(passed)
# def test_Jtvec(self):
# print ">> Derivative test for Jtvec"
# dobs = self.survey.dpred(self.chi)
# def misfit(m):
# dpre = self.survey.dpred(m)
# misfit = 0.5*np.linalg.norm(dpre-dobs)**2
# residual = dpre-dobs
# dmisfit = self.prob.Jtvec(self.chi, residual)
# return misfit, dmisfit
# # TODO: I am not sure why the order get worse as step decreases .. --;
# passed = Tests.checkDerivative(misfit, self.chi, num=4, plotIt=False)
# self.assertTrue(passed)
if __name__ == '__main__':
unittest.main()