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simpeg/tests/mt/test_Problem3D_againstAnalytic.py
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Python

# Test functions
from glob import glob
import numpy as np, sys, os, time, scipy, subprocess
import SimPEG as simpeg
import unittest
from SimPEG import MT
from SimPEG.Utils import meshTensor
from scipy.constants import mu_0
TOLr = 5e-2
TOL = 1e-4
FLR = 1e-20 # "zero", so if residual below this --> pass regardless of order
CONDUCTIVITY = 1e1
MU = mu_0
freq = [1e-1, 2e-1]
addrandoms = True
def getInputs():
"""
Function that returns Mesh, freqs, rx_loc, elev.
"""
# Make a mesh
# M = simpeg.Mesh.TensorMesh([[(100,5,-1.5),(100.,10),(100,5,1.5)],[(100,5,-1.5),(100.,10),(100,5,1.5)],[(100,5,1.6),(100.,10),(100,3,2)]], x0=['C','C',-3529.5360])
# M = simpeg.Mesh.TensorMesh([[(1000,6,-1.5),(1000.,6),(1000,6,1.5)],[(1000,6,-1.5),(1000.,2),(1000,6,1.5)],[(1000,6,-1.3),(1000.,6),(1000,6,1.3)]], x0=['C','C','C'])# Setup the model
M = simpeg.Mesh.TensorMesh([[(1000,6,-1.5),(1000.,4),(1000,6,1.5)],[(1000,6,-1.5),(1000.,4),(1000,6,1.5)],[(500,8,-1.3),(500.,8),(500,8,1.3)]], x0=['C','C','C'])# Setup the model
# Set the frequencies
freqs = np.logspace(1,-3,5)
elev = 0
## Setup the the survey object
# Receiver locations
rx_x, rx_y = np.meshgrid(np.arange(-1000,1001,500),np.arange(-1000,1001,500))
rx_loc = np.hstack((simpeg.Utils.mkvc(rx_x,2),simpeg.Utils.mkvc(rx_y,2),elev+np.zeros((np.prod(rx_x.shape),1))))
return M, freqs, rx_loc, elev
def random(conds):
''' Returns a halfspace model based on the inputs'''
M, freqs, rx_loc, elev = getInputs()
# Backround
sigBG = np.ones(M.nC)*conds
# Add randomness to the model (10% of the value).
sig = np.exp( np.log(sigBG) + np.random.randn(M.nC)*(conds)*1e-1 )
return (M, freqs, sig, sigBG, rx_loc)
def halfSpace(conds):
''' Returns a halfspace model based on the inputs'''
M, freqs, rx_loc, elev = getInputs()
# Model
ccM = M.gridCC
# conds = [1e-2]
groundInd = ccM[:,2] < elev
sig = np.zeros(M.nC) + 1e-8
sig[groundInd] = conds
# Set the background, not the same as the model
sigBG = np.zeros(M.nC) + 1e-8
sigBG[groundInd] = conds
return (M, freqs, sig, sigBG, rx_loc)
def blockInhalfSpace(conds):
''' Returns a halfspace model based on the inputs'''
M, freqs, rx_loc, elev = getInputs()
# Model
ccM = M.gridCC
# conds = [1e-2]
groundInd = ccM[:,2] < elev
sig = simpeg.Utils.ModelBuilder.defineBlock(M.gridCC,np.array([-1000,-1000,-1500]),np.array([1000,1000,-1000]),conds)
sig[~groundInd] = 1e-8
# Set the background, not the same as the model
sigBG = np.zeros(M.nC) + 1e-8
sigBG[groundInd] = conds[1]
return (M, freqs, sig, sigBG, rx_loc)
def twoLayer(conds):
''' Returns a 2 layer model based on the conductivity values given'''
M, freqs, rx_loc, elev = getInputs()
# Model
ccM = M.gridCC
groundInd = ccM[:,2] < elev
botInd = ccM[:,2] < -3000
sig = np.zeros(M.nC) + 1e-8
sig[groundInd] = conds[1]
sig[botInd] = conds[0]
# Set the background, not the same as the model
sigBG = np.zeros(M.nC) + 1e-8
sigBG[groundInd] = conds[1]
return (M, freqs, sig, sigBG, rx_loc)
def setupSimpegMTfwd_eForm_ps(inputSetup,comp='Imp',singleFreq=False,expMap=True):
M,freqs,sig,sigBG,rx_loc = inputSetup
# Make a receiver list
rxList = []
if comp == 'All':
for rxType in ['zxxr','zxxi','zxyr','zxyi','zyxr','zyxi','zyyr','zyyi','tzxr','tzxi','tzyr','tzyi']:
rxList.append(MT.Rx(rx_loc,rxType))
elif comp == 'Imp':
for rxType in ['zxxr','zxxi','zxyr','zxyi','zyxr','zyxi','zyyr','zyyi']:
rxList.append(MT.Rx(rx_loc,rxType))
elif comp == 'Tip':
for rxType in ['tzxr','tzxi','tzyr','tzyi']:
rxList.append(MT.Rx(rx_loc,rxType))
else:
rxList.append(MT.Rx(rx_loc,comp))
# Source list
srcList =[]
if singleFreq:
srcList.append(MT.SrcMT.polxy_1Dprimary(rxList,singleFreq))
else:
for freq in freqs:
srcList.append(MT.SrcMT.polxy_1Dprimary(rxList,freq))
# Survey MT
survey = MT.Survey(srcList)
## Setup the problem object
sigma1d = M.r(sigBG,'CC','CC','M')[0,0,:]
if expMap:
problem = MT.Problem3D.eForm_ps(M,sigmaPrimary= np.log(sigma1d) )
problem.mapping = simpeg.Maps.ExpMap(problem.mesh)
problem.curModel = np.log(sig)
else:
problem = MT.Problem3D.eForm_ps(M,sigmaPrimary= sigma1d)
problem.curModel = sig
problem.pair(survey)
problem.verbose = False
try:
from pymatsolver import MumpsSolver
problem.Solver = MumpsSolver
except:
pass
return (survey, problem)
def getAppResPhs(MTdata):
# Make impedance
def appResPhs(freq,z):
app_res = ((1./(8e-7*np.pi**2))/freq)*np.abs(z)**2
app_phs = np.arctan2(z.imag,z.real)*(180/np.pi)
return app_res, app_phs
recData = MTdata.toRecArray('Complex')
return appResPhs(recData['freq'],recData['zxy']), appResPhs(recData['freq'],recData['zyx'])
def JvecAdjointTest(inputSetup,comp='All',freq=False):
(M, freqs, sig, sigBG, rx_loc) = inputSetup
survey, problem = setupSimpegMTfwd_eForm_ps(inputSetup,comp='All',singleFreq=freq)
print 'Adjoint test of eForm primary/secondary for {:s} comp at {:s}\n'.format(comp,str(survey.freqs))
m = sig
u = problem.fields(m)
v = np.random.rand(survey.nD,)
# print problem.PropMap.PropModel.nP
w = np.random.rand(problem.mesh.nC,)
vJw = v.ravel().dot(problem.Jvec(m, w, u))
wJtv = w.ravel().dot(problem.Jtvec(m, v, u))
tol = np.max([TOL*(10**int(np.log10(np.abs(vJw)))),FLR])
print ' vJw wJtv vJw - wJtv tol abs(vJw - wJtv) < tol'
print vJw, wJtv, vJw - wJtv, tol, np.abs(vJw - wJtv) < tol
return np.abs(vJw - wJtv) < tol
# Test the Jvec derivative
def DerivJvecTest(inputSetup,comp='All',freq=False,expMap=True):
(M, freqs, sig, sigBG, rx_loc) = inputSetup
survey, problem = setupSimpegMTfwd_eForm_ps(inputSetup,comp=comp,singleFreq=freq,expMap=expMap)
print 'Derivative test of Jvec for eForm primary/secondary for {:s} comp at {:s}\n'.format(comp,survey.freqs)
# problem.mapping = simpeg.Maps.ExpMap(problem.mesh)
# problem.sigmaPrimary = np.log(sigBG)
x0 = np.log(sigBG)
# cond = sig[0]
# x0 = np.log(np.ones(problem.mesh.nC)*cond)
# problem.sigmaPrimary = x0
# if True:
# x0 = x0 + np.random.randn(problem.mesh.nC)*cond*1e-1
survey = problem.survey
def fun(x):
return survey.dpred(x), lambda x: problem.Jvec(x0, x)
return simpeg.Tests.checkDerivative(fun, x0, num=3, plotIt=False, eps=FLR)
def DerivProjfieldsTest(inputSetup,comp='All',freq=False):
survey, problem = setupSimpegMTfwd_eForm_ps(inputSetup,comp,freq)
print 'Derivative test of data projection for eFormulation primary/secondary\n\n'
# problem.mapping = simpeg.Maps.ExpMap(problem.mesh)
# Initate things for the derivs Test
src = survey.srcList[0]
rx = src.rxList[0]
u0x = np.random.randn(survey.mesh.nE)+np.random.randn(survey.mesh.nE)*1j
u0y = np.random.randn(survey.mesh.nE)+np.random.randn(survey.mesh.nE)*1j
u0 = np.vstack((simpeg.mkvc(u0x,2),simpeg.mkvc(u0y,2)))
f0 = problem.fieldsPair(survey.mesh,survey)
# u0 = np.hstack((simpeg.mkvc(u0_px,2),simpeg.mkvc(u0_py,2)))
f0[src,'e_pxSolution'] = u0[:len(u0)/2]#u0x
f0[src,'e_pySolution'] = u0[len(u0)/2::]#u0y
def fun(u):
f = problem.fieldsPair(survey.mesh,survey)
f[src,'e_pxSolution'] = u[:len(u)/2]
f[src,'e_pySolution'] = u[len(u)/2::]
return rx.eval(src,survey.mesh,f), lambda t: rx.evalDeriv(src,survey.mesh,f0,simpeg.mkvc(t,2))
return simpeg.Tests.checkDerivative(fun, u0, num=3, plotIt=False, eps=FLR)
def appResPhsHalfspace_eFrom_ps_Norm(sigmaHalf,appR=True,expMap=False):
if appR:
label = 'resistivity'
else:
label = 'phase'
# Make the survey and the problem
survey, problem = setupSimpegMTfwd_eForm_ps(halfSpace(sigmaHalf),expMap=expMap)
print 'Apperent {:s} test of eFormulation primary/secondary at {:g}\n\n'.format(label,sigmaHalf)
data = problem.dataPair(survey,survey.dpred(problem.curModel))
# Calculate the app phs
app_rpxy, app_rpyx = np.array(getAppResPhs(data))
if appR:
return np.all(np.abs(app_rpxy[0,:] - 1./sigmaHalf) * sigmaHalf < .4)
else:
return np.all(np.abs(app_rpxy[1,:] + 135) / 135 < .4)
class TestAnalytics(unittest.TestCase):
def setUp(self):
pass
# # Test apparent resistivity and phase
def test_appRes1en2(self):self.assertTrue(appResPhsHalfspace_eFrom_ps_Norm(1e-2))
def test_appPhs1en2(self):self.assertTrue(appResPhsHalfspace_eFrom_ps_Norm(1e-2,False))
def test_appRes1en3(self):self.assertTrue(appResPhsHalfspace_eFrom_ps_Norm(1e-3))
def test_appPhs1en3(self):self.assertTrue(appResPhsHalfspace_eFrom_ps_Norm(1e-3,False))
# Do a derivative test of Jvec
# def test_derivJvec_zxxr(self):self.assertTrue(DerivJvecTest(random(1e-2),'zxxr',.1))
# def test_derivJvec_zxxi(self):self.assertTrue(DerivJvecTest(random(1e-2),'zxxi',.1))
# def test_derivJvec_zxyr(self):self.assertTrue(DerivJvecTest(random(1e-2),'zxyr',.1))
# def test_derivJvec_zxyi(self):self.assertTrue(DerivJvecTest(random(1e-2),'zxyi',.1))
# def test_derivJvec_zyxr(self):self.assertTrue(DerivJvecTest(random(1e-2),'zyxr',.1))
# def test_derivJvec_zyxi(self):self.assertTrue(DerivJvecTest(random(1e-2),'zyxi',.1))
# def test_derivJvec_zyyr(self):self.assertTrue(DerivJvecTest(random(1e-2),'zyyr',.1))
# def test_derivJvec_zyyi(self):self.assertTrue(DerivJvecTest(random(1e-2),'zyyi',.1))
def test_derivJvec_All(self):self.assertTrue(DerivJvecTest(random(1e-2),'All',.1))
# Test the adjoint of Jvec and Jtvec
# def test_JvecAdjoint_zxxr(self):self.assertTrue(JvecAdjointTest(random(1e-2),'zxxr',.1))
# def test_JvecAdjoint_zxxi(self):self.assertTrue(JvecAdjointTest(random(1e-2),'zxxi',.1))
# def test_JvecAdjoint_zxyr(self):self.assertTrue(JvecAdjointTest(random(1e-2),'zxyr',.1))
# def test_JvecAdjoint_zxyi(self):self.assertTrue(JvecAdjointTest(random(1e-2),'zxyi',.1))
# def test_JvecAdjoint_zyxr(self):self.assertTrue(JvecAdjointTest(random(1e-2),'zyxr',.1))
# def test_JvecAdjoint_zyxi(self):self.assertTrue(JvecAdjointTest(random(1e-2),'zyxi',.1))
# def test_JvecAdjoint_zyyr(self):self.assertTrue(JvecAdjointTest(random(1e-2),'zyyr',.1))
# def test_JvecAdjoint_zyyi(self):self.assertTrue(JvecAdjointTest(random(1e-2),'zyyi',.1))
def test_JvecAdjoint_All(self):self.assertTrue(JvecAdjointTest(random(1e-2),'All',.1))
if __name__ == '__main__':
unittest.main()