def run(plotIt=True):

    cs, ncx, ncz, npad = 5., 25, 15, 15
    hx = [(cs,ncx), (cs,npad,1.3)]
    hz = [(cs,npad,-1.3), (cs,ncz), (cs,npad,1.3)]
    mesh = Mesh.CylMesh([hx,1,hz], '00C')

    layerz = -100.

    active = mesh.vectorCCz<0.
    layer = (mesh.vectorCCz<0.) & (mesh.vectorCCz>=layerz)
    actMap = Maps.InjectActiveCells(mesh, active, np.log(1e-8), nC=mesh.nCz)
    mapping = Maps.ExpMap(mesh) * Maps.SurjectVertical1D(mesh) * actMap
    sig_half = 2e-2
    sig_air = 1e-8
    sig_layer = 1e-2
    sigma = np.ones(mesh.nCz)*sig_air
    sigma[active] = sig_half
    sigma[layer] = sig_layer
    mtrue = np.log(sigma[active])

    if plotIt:
        import matplotlib.pyplot as plt
        fig, ax = plt.subplots(1,1, figsize = (3, 6))
        plt.semilogx(sigma[active], mesh.vectorCCz[active])
        ax.set_ylim(-500, 0)
        ax.set_xlim(1e-3, 1e-1)
        ax.set_xlabel('Conductivity (S/m)', fontsize = 14)
        ax.set_ylabel('Depth (m)', fontsize = 14)
        ax.grid(color='k', alpha=0.5, linestyle='dashed', linewidth=0.5)


    rxOffset=10. 
    bzi = EM.FDEM.Rx(np.array([[rxOffset, 0., 1e-3]]), 'bzi')

    freqs = np.logspace(1,3,10)
    srcLoc = np.array([0., 0., 10.])

    srcList = [EM.FDEM.Src.MagDipole([bzi],freq, srcLoc,orientation='Z') for freq in freqs]

    survey = EM.FDEM.Survey(srcList)
    prb = EM.FDEM.Problem_b(mesh, mapping=mapping)

    try:
        from pymatsolver import MumpsSolver
        prb.Solver = MumpsSolver
    except ImportError, e:
        prb.Solver = SolverLU

    prb.pair(survey)

    std = 0.05
    survey.makeSyntheticData(mtrue, std)

    survey.std = std
    survey.eps = np.linalg.norm(survey.dtrue)*1e-5

    if plotIt:
        import matplotlib.pyplot as plt
        fig, ax = plt.subplots(1,1, figsize = (6, 6))
        ax.semilogx(freqs,survey.dtrue[:freqs.size], 'b.-')
        ax.semilogx(freqs,survey.dobs[:freqs.size], 'r.-')
        ax.legend(('Noisefree', '$d^{obs}$'), fontsize = 16)
        ax.set_xlabel('Time (s)', fontsize = 14)
        ax.set_ylabel('$B_z$ (T)', fontsize = 16)
        ax.set_xlabel('Time (s)', fontsize = 14)
        ax.grid(color='k', alpha=0.5, linestyle='dashed', linewidth=0.5)

    dmisfit = DataMisfit.l2_DataMisfit(survey)
    regMesh = Mesh.TensorMesh([mesh.hz[mapping.maps[-1].indActive]])
    reg = Regularization.Tikhonov(regMesh)
    opt = Optimization.InexactGaussNewton(maxIter = 6)
    invProb = InvProblem.BaseInvProblem(dmisfit, reg, opt)

    # Create an inversion object
    beta = Directives.BetaSchedule(coolingFactor=5, coolingRate=2)
    betaest = Directives.BetaEstimate_ByEig(beta0_ratio=1e0)
    inv = Inversion.BaseInversion(invProb, directiveList=[beta,betaest])
    m0 = np.log(np.ones(mtrue.size)*sig_half)
    reg.alpha_s = 1e-3
    reg.alpha_x = 1.
    prb.counter = opt.counter = Utils.Counter()
    opt.LSshorten = 0.5
    opt.remember('xc')

    mopt = inv.run(m0)

    if plotIt:
        import matplotlib.pyplot as plt
        fig, ax = plt.subplots(1,1, figsize = (3, 6))
        plt.semilogx(sigma[active], mesh.vectorCCz[active])
        plt.semilogx(np.exp(mopt), mesh.vectorCCz[active])
        ax.set_ylim(-500, 0)
        ax.set_xlim(1e-3, 1e-1)
        ax.set_xlabel('Conductivity (S/m)', fontsize = 14)
        ax.set_ylabel('Depth (m)', fontsize = 14)
        ax.grid(color='k', alpha=0.5, linestyle='dashed', linewidth=0.5)
        plt.legend(['$\sigma_{true}$', '$\sigma_{pred}$'],loc='best')
        plt.show()
EM: FDEM: 1D: Inversion
dataset/ETHPy150Open simpeg/simpeg/SimPEG/Examples/EM_FDEM_1D_Inversion.py/run