wassname/simpeg
1
0
Fork 0
mirror of https://github.com/wassname/simpeg.git synced 2026-08-11 11:26:01 +08:00
Code Issues Packages Projects Releases Wiki Activity

include mu in testing, cleanup and debugging in dipole sources

Browse Source
This commit is contained in:
Lindsey Heagy
2016-02-21 10:36:46 -08:00
parent 4df932ccfc
commit 6aa9b533ba
5 changed files with 63 additions and 48 deletions
Download Patch File Download Diff File Expand all files Collapse all files
SimPEG/EM/Utils/testingUtils.py
+20 -15
View File
@@ -8,10 +8,9 @@ FLR = 1e-20 # "zero", so if residual below this --> pass regardless of order
CONDUCTIVITY = 1e1
MU = mu_0
freq = 5e-1
addrandoms = False
def getFDEMProblem(fdemType, comp, SrcList, freq, verbose=False):
def getFDEMProblem(fdemType, comp, SrcList, freq, useMu=False, verbose=False):
cs = 10.
ncx, ncy, ncz = 0, 0, 0
npad = 8
@@ -20,9 +19,12 @@ def getFDEMProblem(fdemType, comp, SrcList, freq, verbose=False):
hz = [(cs,npad,-1.3), (cs,ncz), (cs,npad,1.3)]
mesh = Mesh.TensorMesh([hx,hy,hz],['C','C','C'])
mapping = Maps.ExpMap(mesh)
if useMu is True:
mapping = [('sigma', Maps.ExpMap(mesh)), ('mu', Maps.IdentityMap(mesh))]
else:
mapping = Maps.ExpMap(mesh)
x = np.array([np.linspace(-5.*cs,-2.*cs,3),np.linspace(5.*cs,2.*cs,3)]) #don't sample right by the source
x = np.array([np.linspace(-5.*cs,-2.*cs,3),np.linspace(5.*cs,2.*cs,3)]) + cs/4. #don't sample right by the source, slightly off alignment from either staggered grid
XYZ = Utils.ndgrid(x,x,np.linspace(-2.*cs,2.*cs,5))
Rx0 = EM.FDEM.Rx(XYZ, comp)
@@ -81,22 +83,26 @@ def getFDEMProblem(fdemType, comp, SrcList, freq, verbose=False):
return prb
def crossCheckTest(SrcList, fdemType1, fdemType2, comp, TOL=1e-5, verbose=False):
def crossCheckTest(SrcList, fdemType1, fdemType2, comp, addrandoms = False, useMu=False, TOL=1e-5, verbose=False):
l2norm = lambda r: np.sqrt(r.dot(r))
prb1 = getFDEMProblem(fdemType1, comp, SrcList, freq, verbose)
prb1 = getFDEMProblem(fdemType1, comp, SrcList, freq, useMu, verbose)
mesh = prb1.mesh
print 'Cross Checking Forward: %s, %s formulations - %s' % (fdemType1, fdemType2, comp)
m = np.log(np.ones(mesh.nC)*CONDUCTIVITY)
mu = np.log(np.ones(mesh.nC)*MU)
logsig = np.log(np.ones(mesh.nC)*CONDUCTIVITY)
mu = np.ones(mesh.nC)*MU
if addrandoms is True:
m = m + np.random.randn(mesh.nC)*np.log(CONDUCTIVITY)*1e-1
mu = mu + np.random.randn(mesh.nC)*MU*1e-1
logsig += np.random.randn(mesh.nC)*np.log(CONDUCTIVITY)*1e-1
mu += np.random.randn(mesh.nC)*MU*1e-1
if useMu is True:
m = np.r_[logsig, mu]
else:
m = logsig
# prb1.PropMap.PropModel.mu = mu
# prb1.PropMap.PropModel.mui = 1./mu
survey1 = prb1.survey
d1 = survey1.dpred(m)
@@ -104,9 +110,8 @@ def crossCheckTest(SrcList, fdemType1, fdemType2, comp, TOL=1e-5, verbose=False)
print ' Problem 1 solved'
prb2 = getFDEMProblem(fdemType2, comp, SrcList, freq, verbose)
prb2 = getFDEMProblem(fdemType2, comp, SrcList, freq, useMu, verbose)
# prb2.mu = mu
survey2 = prb2.survey
d2 = survey2.dpred(m)
@@ -116,6 +121,6 @@ def crossCheckTest(SrcList, fdemType1, fdemType2, comp, TOL=1e-5, verbose=False)
r = d2-d1
l2r = l2norm(r)
tol = np.max([TOL*(10**int(np.log10(l2norm(d1)))),FLR])
tol = np.max([TOL*(10**int(np.log10(0.5* (l2norm(d1) + l2norm(d2)) ))),FLR])
print l2norm(d1), l2norm(d2), l2r , tol, l2r < tol
return l2r < tol