diff --git a/simpegPF/Dev/MAG/Intgrl_MAG_Inv_ActiveCells.py b/simpegPF/Dev/MAG/Intgrl_MAG_Inv_ActiveCells.py
index 489fcb39..ddd3df14 100644
--- a/simpegPF/Dev/MAG/Intgrl_MAG_Inv_ActiveCells.py
+++ b/simpegPF/Dev/MAG/Intgrl_MAG_Inv_ActiveCells.py
@@ -34,6 +34,8 @@ midx = int(mesh.nCx/2)
 midy = int(mesh.nCy/2)+1
 midz = int(mesh.nCz/2)
 
+vmin = 0
+vmax = 1e-3
 #%% Run inversion
 prob = PF.Magnetics.Problem3D_Integral(mesh, mapping=idenMap, actInd=actv)
 prob.solverOpts['accuracyTol'] = 1e-4
@@ -43,7 +45,7 @@ survey.pair(prob)
 pred = prob.fields(driver.m0)
 PF.Magnetics.writeUBCobs('Pred.dat', survey, pred)
 
-wr = np.sum(prob.G**2.,axis=0)**0.5 / mesh.vol[actv]
+wr = np.sum(prob.G**2.,axis=0)**0.5
 wr = ( wr/np.max(wr) )
 wr_out = actvMap * wr
 
@@ -56,11 +58,11 @@ plt.gca().set_aspect('equal', adjustable='box')
 
 reg = Regularization.Simple(mesh, indActive=actv, mapping=idenMap)
 reg.mref = driver.mref
-reg.wght = wr
+reg.cell_weights = wr
 
 dmis = DataMisfit.l2_DataMisfit(survey)
 dmis.Wd = 1/wd
-opt = Optimization.ProjectedGNCG(maxIter=10,lower=0.,upper=1., maxIterCG= 20, tolCG=1e-3)
+opt = Optimization.ProjectedGNCG(maxIter=10,lower=0.,upper=1., maxIterCG= 10, tolCG=1e-3)
 
 invProb = InvProblem.BaseInvProblem(dmis, reg, opt)
 
@@ -93,14 +95,14 @@ m_out[m_out==-100] = np.nan
 
 plt.figure()
 ax = plt.subplot(221)
-mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-5, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-5, clim = (vmin,vmax))
 plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
 plt.title('Z: ' + str(mesh.vectorCCz[-5]) + ' m')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
 
 ax = plt.subplot(222)
-mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-8, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-8, clim = (vmin,vmax))
 plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
 plt.title('Z: ' + str(mesh.vectorCCz[-8]) + ' m')
 plt.xlabel('x');plt.ylabel('z')
@@ -108,15 +110,15 @@ plt.gca().set_aspect('equal', adjustable='box')
 
 
 ax = plt.subplot(212)
-mesh.plotSlice(m_out, ax = ax, normal = 'Y', ind=yslice, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Y', ind=yslice, clim = (vmin,vmax))
 plt.title('Smooth Unconstrained')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
 
 #%% Re-run inversion using a starting model with
 # static cells
-m0 = np.ones(mesh.nC)*1e-3
-val = 0.005
+m0 = np.ones(mesh.nC)*1e-4
+val = 0.002
 
 # Reshape the model in order to create a static block
 m0 = np.reshape(m0,(mesh.nCx,mesh.nCy,mesh.nCz), order = 'F')
@@ -140,11 +142,11 @@ PF.Magnetics.writeUBCobs('Pred.dat', survey, pred)
 
 reg = Regularization.Simple(mesh, indActive=actv, mapping=actvCells)
 reg.mref = driver.mref[ind_act]
-reg.wght = wr
+reg.cell_weights = wr
 
 dmis = DataMisfit.l2_DataMisfit(survey)
 dmis.Wd = 1/wd
-opt = Optimization.ProjectedGNCG(maxIter=10,lower=0.,upper=1., maxIterCG= 20, tolCG=1e-3)
+opt = Optimization.ProjectedGNCG(maxIter=10,lower=0.,upper=1., maxIterCG= 10, tolCG=1e-3)
 
 invProb = InvProblem.BaseInvProblem(dmis, reg, opt)
 
@@ -177,21 +179,21 @@ m_out[m_out==-100] = np.nan
 
 plt.figure()
 ax = plt.subplot(221)
-mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-5, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-5, clim = (vmin,vmax))
 plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
 plt.title('Z: ' + str(mesh.vectorCCz[-5]) + ' m')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
 
 ax = plt.subplot(222)
-mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-8, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-8, clim = (vmin,vmax))
 plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
 plt.title('Z: ' + str(mesh.vectorCCz[-8]) + ' m')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
 
 ax = plt.subplot(212)
-mesh.plotSlice(m_out, ax = ax, normal = 'Y', ind=yslice, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Y', ind=yslice, clim = (vmin,vmax))
 plt.title('Smooth Constrained')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
@@ -202,17 +204,17 @@ phid =  invProb.phi_d
 
 # Set parameters for sparsity
 reg = Regularization.Sparse(mesh, indActive = actv, mapping=actvCells)
-reg.recModel = mrec
+reg.curModel = mrec
 reg.mref = driver.mref[ind_act]
-reg.wght = wr
+reg.cell_weights = wr
 reg.eps_p = eps_p
 reg.eps_q = eps_q
 reg.norms   = driver.lpnorms
 
 
 dmis = DataMisfit.l2_DataMisfit(survey)
-dmis.Wd = wd
-opt = Optimization.ProjectedGNCG(maxIter=10 , lower=0.,upper=1., maxIterCG= 10, tolCG = 1e-4)
+dmis.Wd = 1./wd
+opt = Optimization.ProjectedGNCG(maxIter=10 , lower=0.,upper=1., maxIterCG= 20, tolCG = 1e-4)
 
 invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta = invProb.beta)
 
@@ -220,7 +222,7 @@ invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta = invProb.beta)
 beta = Directives.BetaSchedule(coolingFactor=1, coolingRate=1)
 update_beta = Directives.Scale_Beta(tol = 0.05)
 target = Directives.TargetMisfit()
-IRLS =Directives.Update_IRLS( phi_m_last = phim, phi_d_last = phid )
+IRLS =Directives.Update_IRLS( phi_m_last = phim )
 update_Jacobi = Directives.Update_lin_PreCond(onlyOnStart=False)
 save_log = Directives.SaveOutputEveryIteration()
 save_log.fileName = 'LogName_blabla'
@@ -251,21 +253,21 @@ m_out[m_out==-100] = np.nan
 
 plt.figure()
 ax = plt.subplot(221)
-mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-5, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-5, clim = (mrec.min(),mrec.max()))
 plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
 plt.title('Z: ' + str(mesh.vectorCCz[-5]) + ' m')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
 
 ax = plt.subplot(222)
-mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-8, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Z', ind=-8, clim = (mrec.min(),mrec.max()))
 plt.plot(np.array([mesh.vectorCCx[0],mesh.vectorCCx[-1]]), np.array([mesh.vectorCCy[yslice],mesh.vectorCCy[yslice]]),c='w',linestyle = '--')
 plt.title('Z: ' + str(mesh.vectorCCz[-8]) + ' m')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
 
 ax = plt.subplot(212)
-mesh.plotSlice(m_out, ax = ax, normal = 'Y', ind=yslice, clim = (mrec.min(), mrec.max()))
+mesh.plotSlice(m_out, ax = ax, normal = 'Y', ind=yslice, clim = (mrec.min(),mrec.max()))
 plt.title('Compact Constrained')
 plt.xlabel('x');plt.ylabel('z')
 plt.gca().set_aspect('equal', adjustable='box')
diff --git a/simpegPF/Dev/MAG/Intgrl_MAG_Inv_Driver.py b/simpegPF/Dev/MAG/Intgrl_MAG_Inv_Driver.py
index a81d8b27..f3ea912b 100644
--- a/simpegPF/Dev/MAG/Intgrl_MAG_Inv_Driver.py
+++ b/simpegPF/Dev/MAG/Intgrl_MAG_Inv_Driver.py
@@ -60,9 +60,9 @@ reg.mref = driver.mref
 reg.cell_weights = wr
     
 #reg.mref = np.zeros(mesh.nC)
-eps_p = 2e-4
+eps_p = 5e-5
 eps_q = 5e-5
-norms   = [0., 2., 2., 2.]
+norms   = [0., 1., 1., 1.]
 
 opt = Optimization.ProjectedGNCG(maxIter=100 ,lower=-2.,upper=2., maxIterLS = 20, maxIterCG= 10, tolCG = 1e-3)
 invProb = InvProblem.BaseInvProblem(dmis, reg, opt)
@@ -70,7 +70,7 @@ invProb = InvProblem.BaseInvProblem(dmis, reg, opt)
 #update_beta = Directives.Scale_Beta(tol = 0.05, coolingRate=5)
 betaest = Directives.BetaEstimate_ByEig()
 IRLS = Directives.Update_IRLS( norms=norms,  eps_p=eps_p, eps_q=eps_q, f_min_change = 1e-2)
-update_Jacobi = Directives.Update_lin_PreCond(onlyOnStart=True)
+update_Jacobi = Directives.Update_lin_PreCond()
 inv = Inversion.BaseInversion(invProb, directiveList=[IRLS,betaest,update_Jacobi])
 
 # Run inversion