diff --git a/SimPEG/Examples/simpegEMpaper_example_1.py b/SimPEG/Examples/simpegEMpaper_example_1.py index 3d370a7a..86afb653 100644 --- a/SimPEG/Examples/simpegEMpaper_example_1.py +++ b/SimPEG/Examples/simpegEMpaper_example_1.py @@ -30,8 +30,8 @@ def run(plotIt=True): # FDEM problem & survey rxlocs = Utils.ndgrid([np.r_[50.], np.r_[0], np.r_[0.]]) - bzi = FDEM.Rx.Point_b(rxlocs, 'z', 'real') - bzr = FDEM.Rx.Point_b(rxlocs, 'z', 'imag') + bzi = FDEM.Rx.Point_bSecondary(rxlocs, 'z', 'real') + bzr = FDEM.Rx.Point_bSecondary(rxlocs, 'z', 'imag') freqs = np.logspace(2, 3, 5) srcLoc = np.array([0., 0., 0.]) @@ -45,7 +45,7 @@ def run(plotIt=True): surveyFD = FDEM.Survey(srcList) prbFD = FDEM.Problem3D_b(mesh, mapping=mapping) prbFD.pair(surveyFD) - std = 0.02 + std = 0.03 surveyFD.makeSyntheticData(mtrue, std) surveyFD.eps = np.linalg.norm(surveyFD.dtrue)*1e-5 @@ -54,7 +54,7 @@ def run(plotIt=True): dmisfit = DataMisfit.l2_DataMisfit(surveyFD) regMesh = Mesh.TensorMesh([mesh.hz[mapping.maps[-1].indActive]]) reg = Regularization.Simple(regMesh) - opt = Optimization.InexactGaussNewton(maxIterCG=3, maxIter=7) + opt = Optimization.InexactGaussNewton(maxIterCG=10, maxIter=4) invProb = InvProblem.BaseInvProblem(dmisfit, reg, opt) # Inversion Directives beta = Directives.BetaSchedule(coolingFactor=5, coolingRate=3) @@ -64,7 +64,7 @@ def run(plotIt=True): inv = Inversion.BaseInversion(invProb, directiveList=[beta,target]) m0 = np.log(np.ones(mtrue.size)*sig_half) - reg.alpha_s = 1e-1 + reg.alpha_s = 5e-1 reg.alpha_x = 1. prbFD.counter = opt.counter = Utils.Counter() opt.LSshorten = 0.5 @@ -85,7 +85,7 @@ def run(plotIt=True): prbTD.pair(surveyTD) prbTD.Solver = SolverLU - std = 0.05 + std = 0.03 surveyTD.makeSyntheticData(mtrue, std) surveyTD.std = std surveyTD.eps = np.linalg.norm(surveyTD.dtrue)*1e-5 @@ -94,7 +94,7 @@ def run(plotIt=True): dmisfit = DataMisfit.l2_DataMisfit(surveyTD) regMesh = Mesh.TensorMesh([mesh.hz[mapping.maps[-1].indActive]]) reg = Regularization.Simple(regMesh) - opt = Optimization.InexactGaussNewton(maxIterCG=3, maxIter=7) + opt = Optimization.InexactGaussNewton(maxIterCG=10, maxIter=4) invProb = InvProblem.BaseInvProblem(dmisfit, reg, opt) # Inversion Directives @@ -105,7 +105,7 @@ def run(plotIt=True): inv = Inversion.BaseInversion(invProb, directiveList=[beta, target]) m0 = np.log(np.ones(mtrue.size)*sig_half) - reg.alpha_s = 1e-1 + reg.alpha_s = 5e-1 reg.alpha_x = 1. prbTD.counter = opt.counter = Utils.Counter() opt.LSshorten = 0.5