mirror of
https://github.com/wassname/simpeg.git
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Implement sparse norm on mag problem.
Add Nutcracker example to folder.
This commit is contained in:
D Fournier
@@ -1,19 +1,18 @@
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import os
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#home_dir = 'C:\Users\dominiquef.MIRAGEOSCIENCE\Documents\GIT\SimPEG\simpegpf\simpegPF\Dev'
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#home_dir = 'C:\\Users\\dominiquef.MIRAGEOSCIENCE\\ownCloud\\Research\\Modelling\\Synthetic\\Block_Gaussian_topo'
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home_dir = 'C:\\Users\\dominiquef.MIRAGEOSCIENCE\\ownCloud\\Research\\Modelling\\Synthetic\\Nut_Cracker\\Induced_MAG3C'
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inpfile = 'PYMAG3D_inv.inp'
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dsep = '\\'
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os.chdir(home_dir)
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#%%
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from SimPEG import *
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import simpegPF as PF
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import pylab as plt
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import os
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#home_dir = 'C:\Users\dominiquef.MIRAGEOSCIENCE\Documents\GIT\SimPEG\simpegpf\simpegPF\Dev'
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#home_dir = 'C:\\Users\\dominiquef.MIRAGEOSCIENCE\\ownCloud\\Research\\Modelling\\Synthetic\\Block_Gaussian_topo'
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home_dir = '.\\'
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inpfile = 'PYMAG3D_inv.inp'
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dsep = '\\'
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os.chdir(home_dir)
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## New scripts to be added to basecode
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#from fwr_MAG_data import fwr_MAG_data
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#from read_MAGfwr_inp import read_MAGfwr_inp
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@@ -23,8 +22,9 @@ import pylab as plt
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[mshfile, obsfile, topofile, mstart, mref, magfile, wgtfile, chi, alphas, bounds, lpnorms] = PF.BaseMag.read_MAGinv_inp(home_dir + dsep + inpfile)
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# Load mesh file
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mesh = Utils.meshutils.readUBCTensorMesh(mshfile)
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mesh = Mesh.TensorMesh.readUBC(mshfile)
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#mesh = Utils.meshutils.readUBCTensorMesh(mshfile)
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# Load in observation file
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[B,M,dobs] = PF.BaseMag.readUBCmagObs(obsfile)
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@@ -85,8 +85,8 @@ wrMap = PF.BaseMag.WeightMap(mesh, wr)
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wr_out = np.zeros(mesh.nC)
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wr_out[actv==1] = wr
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Utils.writeUBCTensorModel(home_dir+dsep+'wr.dat',mesh,wr_out)
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Mesh.TensorMesh.writeModelUBC(mesh,home_dir+dsep+'wr.dat',wr_out)
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#Utils.meshutils.writeUBCTensorModel(home_dir+dsep+'wr.dat',mesh,wr_out)
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# Write out the predicted
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pred = F.dot(mstart)
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PF.Magnetics.writeUBCobs(home_dir + dsep + 'Pred.dat',B,M,rxLoc,pred,wd)
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@@ -111,14 +111,16 @@ survey.pair(prob)
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survey.dobs=d
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#survey.mtrue = model
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# Create pre-conditioner
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diagA = np.sum(F**2.,axis=0) + beta_in*np.ones(nC)
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PC = sp.spdiags(diagA**-1., 0, nC, nC);
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reg = Regularization.Simple(mesh, mapping=wrMap)
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reg.mref = mref
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#reg.alpha_s = 1.
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# Create pre-conditioner
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diagA = np.sum(F**2.,axis=0) + beta_in*(reg.W.T*reg.W).diagonal()*(wr**2.0)
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PC = Utils.sdiag(diagA**-1.)
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dmis = DataMisfit.l2_DataMisfit(survey)
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dmis.Wd = wd
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opt = Optimization.ProjectedGNCG(maxIter=10,lower=0.,upper=1.)
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@@ -142,7 +144,8 @@ m_out = np.ones(mesh.nC)
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m_out[actv==1] = mrec
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# Write result
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Utils.meshutils.writeUBCTensorModel('SimPEG_inv.sus',mesh,m_out)
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Mesh.TensorMesh.writeModelUBC(mesh,'SimPEG_inv.sus',m_out)
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#Utils.meshutils.writeUBCTensorModel(home_dir+dsep+'wr.dat',mesh,wr_out)
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# Plot predicted
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pred = F.dot(mrec)
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@@ -155,41 +158,55 @@ print "Final misfit:" + str(np.sum( ((d-pred)/wd)**2. ) )
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yslice = midx-7
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plt.figure()
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ax = plt.subplot(211)
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ax = plt.subplot(221)
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mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-5, clim = (-mrec.min(), mrec.max()))
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plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w')
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plt.title('Inverted model')
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plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
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plt.title('Z Section')
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plt.xlabel('x');plt.ylabel('z')
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plt.gca().set_aspect('equal', adjustable='box')
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ax = plt.subplot(222)
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mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-1, clim = (-mrec.min(), mrec.max()))
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plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
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plt.title('Top')
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plt.xlabel('x');plt.ylabel('z')
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plt.gca().set_aspect('equal', adjustable='box')
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ax = plt.subplot(212)
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mesh.plotSlice(m_out, ax = ax, normal = 'Y', ind=yslice, clim = (-mrec.min(), mrec.max()))
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plt.title('Inverted model')
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plt.title('Cross Section')
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plt.xlabel('x');plt.ylabel('z')
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plt.gca().set_aspect('equal', adjustable='box')
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#%% Run one more round for sparsity
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phim = invProb.phi_m_last
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reg = Regularization.SparseRegularization(mesh, mapping=wrMap)
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#reg.m = mrec
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reg.m = mrec
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reg.mref = mref
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reg.eps = 1e-3
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reg.eps = 1e-1
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diagA = np.sum(F**2.,axis=0) + beta_in*(reg.W.T*reg.W).diagonal()*(wr**2.0)
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PC = Utils.sdiag(diagA**-1.)
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#reg.alpha_s = 1.
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dmis = DataMisfit.l2_DataMisfit(survey)
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dmis.Wd = wd
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opt = Optimization.ProjectedGNCG(maxIter=20,tolX = 1e-2, tolF = 1e-2,lower=0.,upper=1.)
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opt = Optimization.ProjectedGNCG(maxIter=20 ,lower=0.,upper=1.)
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opt.approxHinv = PC
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#opt.phim_last = reg.eval(mrec)
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# opt = Optimization.InexactGaussNewton(maxIter=6)
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invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta = 1e-2)
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beta = Directives.BetaSchedule(coolingFactor=1, coolingRate=10)
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invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta = invProb.beta)
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beta = Directives.BetaSchedule(coolingFactor=1, coolingRate=1)
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#betaest = Directives.BetaEstimate_ByEig()
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target = Directives.TargetMisfit()
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IRLS =Directives.update_IRLS(factor = 2, eps_min=1e-3, phi_m_last = phim )
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inv = Inversion.BaseInversion(invProb, directiveList=[beta])
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inv = Inversion.BaseInversion(invProb, directiveList=[beta,IRLS])
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m0 = mrec
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@@ -202,16 +219,23 @@ m_out[actv==1] = mrec
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yslice = midx-7
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plt.figure()
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ax = plt.subplot(211)
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ax = plt.subplot(221)
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mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-5, clim = (-mrec.min(), mrec.max()))
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plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w')
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plt.title('Inverted model')
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plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
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plt.title('Z Section')
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plt.xlabel('x');plt.ylabel('z')
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plt.gca().set_aspect('equal', adjustable='box')
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ax = plt.subplot(222)
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mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-1, clim = (-mrec.min(), mrec.max()))
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plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
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plt.title('Top')
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plt.xlabel('x');plt.ylabel('z')
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plt.gca().set_aspect('equal', adjustable='box')
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ax = plt.subplot(212)
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mesh.plotSlice(m_out, ax = ax, normal = 'Y', ind=yslice, clim = (-mrec.min(), mrec.max()))
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plt.title('Inverted model')
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plt.title('Cross Section')
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plt.xlabel('x');plt.ylabel('z')
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plt.gca().set_aspect('equal', adjustable='box')
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@@ -0,0 +1,5 @@
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38 31 12
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421780.00 544950.00 1600.00
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151.00 108.00 77.00 55.00 30*40.00 55.00 77.00 108.00 151.00
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151.00 108.00 77.00 55.00 23*40.00 55.00 77.00 108.00 151.00
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12*40.00
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@@ -0,0 +1,345 @@
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90.00 0.00 50000.00
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90.00 0.00 1.00
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342
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4.22510000e+05 5.45810000e+05 1.62000000e+03 4.57528375e+01 1.00000000e+00
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4.22570000e+05 5.45850000e+05 1.62000000e+03 6.18908931e+01 1.00000000e+00
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4.23050000e+05 5.45850000e+05 1.62000000e+03 4.07867034e+01 1.00000000e+00
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4.22450000e+05 5.45890000e+05 1.62000000e+03 1.25056012e+01 1.00000000e+00
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4.22570000e+05 5.45890000e+05 1.62000000e+03 6.56735812e+01 1.00000000e+00
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4.22690000e+05 5.46010000e+05 1.62000000e+03 6.16742139e+01 1.00000000e+00
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4.22810000e+05 5.46010000e+05 1.62000000e+03 6.16660116e+01 1.00000000e+00
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4.22930000e+05 5.46010000e+05 1.62000000e+03 4.73710516e+01 1.00000000e+00
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4.23050000e+05 5.46010000e+05 1.62000000e+03 5.47620276e+00 1.00000000e+00
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4.22690000e+05 5.46050000e+05 1.62000000e+03 3.13415948e+01 1.00000000e+00
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4.22810000e+05 5.46050000e+05 1.62000000e+03 3.55335955e+01 1.00000000e+00
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4.22690000e+05 5.46090000e+05 1.62000000e+03 9.75775836e+00 1.00000000e+00
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4.22810000e+05 5.46090000e+05 1.62000000e+03 1.20826986e+01 1.00000000e+00
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|
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|
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|
||||
4.23290000e+05 5.46130000e+05 1.62000000e+03 -4.59588925e+00 1.00000000e+00
|
||||
4.22330000e+05 5.46170000e+05 1.62000000e+03 -3.59811823e+00 1.00000000e+00
|
||||
4.22450000e+05 5.46170000e+05 1.62000000e+03 -5.45719417e+00 1.00000000e+00
|
||||
4.22570000e+05 5.46170000e+05 1.62000000e+03 -5.99112663e+00 1.00000000e+00
|
||||
4.22690000e+05 5.46170000e+05 1.62000000e+03 -5.79306161e+00 1.00000000e+00
|
||||
4.22810000e+05 5.46170000e+05 1.62000000e+03 -5.78573072e+00 1.00000000e+00
|
||||
4.22930000e+05 5.46170000e+05 1.62000000e+03 -7.63187297e+00 1.00000000e+00
|
||||
4.23050000e+05 5.46170000e+05 1.62000000e+03 -5.93687058e+00 1.00000000e+00
|
||||
4.23170000e+05 5.46170000e+05 1.62000000e+03 -2.79263037e+00 1.00000000e+00
|
||||
4.23290000e+05 5.46170000e+05 1.62000000e+03 -3.99903861e+00 1.00000000e+00
|
||||
@@ -0,0 +1,11 @@
|
||||
Mesh_40m.msh ! Mesh file
|
||||
Obs_IND_GRID_TMI.obs ! Obsfile
|
||||
null ! Topofile | null
|
||||
VALUE 1e-4 ! Starting model
|
||||
VALUE 0 ! Reference model
|
||||
DEFAULT !..\AzmDip.dat ! Magnetization vector model
|
||||
DEFAULT ! Cell based weight file
|
||||
1 ! target chi factor | DEFAULT=1
|
||||
1 1 1 1 ! alpha s, x ,y ,z
|
||||
VALUE 0 1 ! Lower and Upper Bounds for p-component
|
||||
VALUE 0 2 2 2 1 ! lp-norm for amplitude inversion FILE pqxqyqzr.dat ! Norms VALUE p, qx, qy, qz, r | FILE m-by-5 matrix
|
||||
@@ -0,0 +1,345 @@
|
||||
90.00 0.00 50000.00
|
||||
90.00 0.00 1.00
|
||||
342
|
||||
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4.229900e+05 5.455300e+05 1.620000e+03 1.115325e+00 1.000000e+00
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|
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4.223900e+05 5.455700e+05 1.620000e+03 1.143742e+00 1.000000e+00
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4.232300e+05 5.457700e+05 1.620000e+03 1.144690e+00 1.000000e+00
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4.222700e+05 5.458100e+05 1.620000e+03 1.163896e+00 1.000000e+00
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4.223900e+05 5.458100e+05 1.620000e+03 1.113656e+00 1.000000e+00
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4.225100e+05 5.458100e+05 1.620000e+03 1.080094e+00 1.000000e+00
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4.226300e+05 5.458100e+05 1.620000e+03 1.060422e+00 1.000000e+00
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4.227500e+05 5.458100e+05 1.620000e+03 1.052788e+00 1.000000e+00
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4.228700e+05 5.458100e+05 1.620000e+03 1.056442e+00 1.000000e+00
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4.232900e+05 5.458500e+05 1.620000e+03 1.174261e+00 1.000000e+00
|
||||
4.223300e+05 5.458900e+05 1.620000e+03 1.140725e+00 1.000000e+00
|
||||
4.224500e+05 5.458900e+05 1.620000e+03 1.099389e+00 1.000000e+00
|
||||
4.225700e+05 5.458900e+05 1.620000e+03 1.073187e+00 1.000000e+00
|
||||
4.226900e+05 5.458900e+05 1.620000e+03 1.059758e+00 1.000000e+00
|
||||
4.228100e+05 5.458900e+05 1.620000e+03 1.057802e+00 1.000000e+00
|
||||
4.229300e+05 5.458900e+05 1.620000e+03 1.067124e+00 1.000000e+00
|
||||
4.230500e+05 5.458900e+05 1.620000e+03 1.088638e+00 1.000000e+00
|
||||
4.231700e+05 5.458900e+05 1.620000e+03 1.124351e+00 1.000000e+00
|
||||
4.232900e+05 5.458900e+05 1.620000e+03 1.177133e+00 1.000000e+00
|
||||
4.223300e+05 5.459300e+05 1.620000e+03 1.145468e+00 1.000000e+00
|
||||
4.224500e+05 5.459300e+05 1.620000e+03 1.104334e+00 1.000000e+00
|
||||
4.225700e+05 5.459300e+05 1.620000e+03 1.078262e+00 1.000000e+00
|
||||
4.226900e+05 5.459300e+05 1.620000e+03 1.064901e+00 1.000000e+00
|
||||
4.228100e+05 5.459300e+05 1.620000e+03 1.062955e+00 1.000000e+00
|
||||
4.229300e+05 5.459300e+05 1.620000e+03 1.072230e+00 1.000000e+00
|
||||
4.230500e+05 5.459300e+05 1.620000e+03 1.093636e+00 1.000000e+00
|
||||
4.231700e+05 5.459300e+05 1.620000e+03 1.129174e+00 1.000000e+00
|
||||
4.232900e+05 5.459300e+05 1.620000e+03 1.181704e+00 1.000000e+00
|
||||
4.223300e+05 5.459700e+05 1.620000e+03 1.152021e+00 1.000000e+00
|
||||
4.224500e+05 5.459700e+05 1.620000e+03 1.111163e+00 1.000000e+00
|
||||
4.225700e+05 5.459700e+05 1.620000e+03 1.085271e+00 1.000000e+00
|
||||
4.226900e+05 5.459700e+05 1.620000e+03 1.072003e+00 1.000000e+00
|
||||
4.228100e+05 5.459700e+05 1.620000e+03 1.070070e+00 1.000000e+00
|
||||
4.229300e+05 5.459700e+05 1.620000e+03 1.079280e+00 1.000000e+00
|
||||
4.230500e+05 5.459700e+05 1.620000e+03 1.100539e+00 1.000000e+00
|
||||
4.231700e+05 5.459700e+05 1.620000e+03 1.135836e+00 1.000000e+00
|
||||
4.232900e+05 5.459700e+05 1.620000e+03 1.188021e+00 1.000000e+00
|
||||
4.223300e+05 5.460100e+05 1.620000e+03 1.160447e+00 1.000000e+00
|
||||
4.224500e+05 5.460100e+05 1.620000e+03 1.119941e+00 1.000000e+00
|
||||
4.225700e+05 5.460100e+05 1.620000e+03 1.094277e+00 1.000000e+00
|
||||
4.226900e+05 5.460100e+05 1.620000e+03 1.081127e+00 1.000000e+00
|
||||
4.228100e+05 5.460100e+05 1.620000e+03 1.079212e+00 1.000000e+00
|
||||
4.229300e+05 5.460100e+05 1.620000e+03 1.088340e+00 1.000000e+00
|
||||
4.230500e+05 5.460100e+05 1.620000e+03 1.109410e+00 1.000000e+00
|
||||
4.231700e+05 5.460100e+05 1.620000e+03 1.144400e+00 1.000000e+00
|
||||
4.232900e+05 5.460100e+05 1.620000e+03 1.196142e+00 1.000000e+00
|
||||
4.223300e+05 5.460500e+05 1.620000e+03 1.170821e+00 1.000000e+00
|
||||
4.224500e+05 5.460500e+05 1.620000e+03 1.130746e+00 1.000000e+00
|
||||
4.225700e+05 5.460500e+05 1.620000e+03 1.105360e+00 1.000000e+00
|
||||
4.226900e+05 5.460500e+05 1.620000e+03 1.092354e+00 1.000000e+00
|
||||
4.228100e+05 5.460500e+05 1.620000e+03 1.090459e+00 1.000000e+00
|
||||
4.229300e+05 5.460500e+05 1.620000e+03 1.099487e+00 1.000000e+00
|
||||
4.230500e+05 5.460500e+05 1.620000e+03 1.120329e+00 1.000000e+00
|
||||
4.231700e+05 5.460500e+05 1.620000e+03 1.154944e+00 1.000000e+00
|
||||
4.232900e+05 5.460500e+05 1.620000e+03 1.206144e+00 1.000000e+00
|
||||
4.223300e+05 5.460900e+05 1.620000e+03 1.183230e+00 1.000000e+00
|
||||
4.224500e+05 5.460900e+05 1.620000e+03 1.143666e+00 1.000000e+00
|
||||
4.225700e+05 5.460900e+05 1.620000e+03 1.118607e+00 1.000000e+00
|
||||
4.226900e+05 5.460900e+05 1.620000e+03 1.105770e+00 1.000000e+00
|
||||
4.228100e+05 5.460900e+05 1.620000e+03 1.103900e+00 1.000000e+00
|
||||
4.229300e+05 5.460900e+05 1.620000e+03 1.112811e+00 1.000000e+00
|
||||
4.230500e+05 5.460900e+05 1.620000e+03 1.133382e+00 1.000000e+00
|
||||
4.231700e+05 5.460900e+05 1.620000e+03 1.167554e+00 1.000000e+00
|
||||
4.232900e+05 5.460900e+05 1.620000e+03 1.218111e+00 1.000000e+00
|
||||
4.223300e+05 5.461300e+05 1.620000e+03 1.197766e+00 1.000000e+00
|
||||
4.224500e+05 5.461300e+05 1.620000e+03 1.158793e+00 1.000000e+00
|
||||
4.225700e+05 5.461300e+05 1.620000e+03 1.134113e+00 1.000000e+00
|
||||
4.226900e+05 5.461300e+05 1.620000e+03 1.121471e+00 1.000000e+00
|
||||
4.228100e+05 5.461300e+05 1.620000e+03 1.119629e+00 1.000000e+00
|
||||
4.229300e+05 5.461300e+05 1.620000e+03 1.128405e+00 1.000000e+00
|
||||
4.230500e+05 5.461300e+05 1.620000e+03 1.148665e+00 1.000000e+00
|
||||
4.231700e+05 5.461300e+05 1.620000e+03 1.182323e+00 1.000000e+00
|
||||
4.232900e+05 5.461300e+05 1.620000e+03 1.232131e+00 1.000000e+00
|
||||
4.223300e+05 5.461700e+05 1.620000e+03 1.214517e+00 1.000000e+00
|
||||
4.224500e+05 5.461700e+05 1.620000e+03 1.176218e+00 1.000000e+00
|
||||
4.225700e+05 5.461700e+05 1.620000e+03 1.151967e+00 1.000000e+00
|
||||
4.226900e+05 5.461700e+05 1.620000e+03 1.139545e+00 1.000000e+00
|
||||
4.228100e+05 5.461700e+05 1.620000e+03 1.137735e+00 1.000000e+00
|
||||
4.229300e+05 5.461700e+05 1.620000e+03 1.146358e+00 1.000000e+00
|
||||
4.230500e+05 5.461700e+05 1.620000e+03 1.166266e+00 1.000000e+00
|
||||
4.231700e+05 5.461700e+05 1.620000e+03 1.199340e+00 1.000000e+00
|
||||
4.232900e+05 5.461700e+05 1.620000e+03 1.248292e+00 1.000000e+00
|
||||
File diff suppressed because it is too large
Load Diff
+14135
-7999
File diff suppressed because it is too large
Load Diff
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user