{
    "componentChunkName": "component---src-templates-notebook-tsx",
    "path": "/2025.1.3/examples/tutorials/first_steps/my_first_inversion",
    "result": {"data":{"site":{"siteMetadata":{"salvusDocVersions":{"current":"2026.5.0"}}},"jupyterNotebook":{"slug":"/2025.1.3/examples/tutorials/first_steps/my_first_inversion","notebook_widgets_root_path":"/jupyter_notebook_widgets","notebook_json":"{\"cells\":[{\"cell_type\":\"markdown\",\"id\":\"cb3c8b1c\",\"metadata\":{},\"source\":[\"# My First Salvus Inversion\\n\",\"\\n\",\"This micro-tutorial demonstrates how to set up a first full waveform inversion with Salvus.\\n\",\"\\n\",\"The simulations are very light and do not require any serious resources.\\n\",\"\\n\",\"Some familiary with Python as well as knowledge of how to set up forward simulations with Salvus is assumed.\\n\",\"\\n\",\"For an in-depth tutorial of running full waveform inversions with Salvus, please have a look at one of our other tutorials.\"]},{\"cell_type\":\"code\",\"execution_count\":1,\"id\":\"13726a2b\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[]}],\"source\":[\"import os\\n\",\"import numpy as np\\n\",\"import xarray as xr\\n\",\"\\n\",\"import salvus.namespace as sn\\n\",\"\\n\",\"SALVUS_FLOW_SITE_NAME = os.environ.get(\\\"SITE_NAME\\\", \\\"local\\\")\"]},{\"cell_type\":\"markdown\",\"id\":\"9962d002\",\"metadata\":{},\"source\":[\"## Sources and Receivers\\n\",\"\\n\",\"We'll generate a ring of transducers, five of which act as sources. This mimics an acquisition setup common in medical devices.\"]},{\"cell_type\":\"code\",\"execution_count\":2,\"id\":\"a44974ba\",\"metadata\":{\"lines_to_end_of_cell_marker\":2},\"outputs\":[],\"source\":[\"# Generate a ring with 5 scalar sources.\\n\",\"sources = sn.simple_config.source.cartesian.collections.ScalarPoint2DRing(\\n\",\"    x=0, y=0, radius=0.09, count=5, f=1.0\\n\",\")\\n\",\"\\n\",\"events = []\\n\",\"# Use the same receiver ring for each but mask out the receivers close to each\\n\",\"# source.\\n\",\"for i, s in enumerate(sources._sources):\\n\",\"    all_receivers = (\\n\",\"        sn.simple_config.receiver.cartesian.collections.RingPoint2D(\\n\",\"            x=0, y=0, radius=0.09, count=100, fields=[\\\"phi\\\"]\\n\",\"        )\\n\",\"    )\\n\",\"    receivers = [\\n\",\"        r\\n\",\"        for r in all_receivers._receivers\\n\",\"        if np.sqrt(\\n\",\"            (s.location[0] - r.location[0]) ** 2\\n\",\"            + (s.location[1] - r.location[1]) ** 2\\n\",\"        )\\n\",\"        > 0.03\\n\",\"    ]\\n\",\"    events.append(\\n\",\"        sn.Event(event_name=f\\\"event_{i}\\\", sources=s, receivers=receivers)\\n\",\"    )\"]},{\"cell_type\":\"markdown\",\"id\":\"322d2d73\",\"metadata\":{\"lines_to_next_cell\":2},\"source\":[\"## Target model\\n\",\"\\n\",\"For FWI we'll need something to invert for. For most applications this will be recorded data from some real world setting. Here we'll define a synthetic inversion target and generate our own data.\"]},{\"cell_type\":\"code\",\"execution_count\":3,\"id\":\"1630aba5\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"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\",\"text/plain\":[\"<Figure size 1000x600 with 2 Axes>\"]},\"metadata\":{},\"output_type\":\"display_data\"}],\"source\":[\"def get_spherical_inclusion() -> xr.Dataset:\\n\",\"    nx, ny = 200, 200\\n\",\"    x = np.linspace(-0.1, +0.1, nx)\\n\",\"    y = np.linspace(-0.1, +0.1, ny)\\n\",\"    xx, yy = np.meshgrid(x, y, indexing=\\\"ij\\\")\\n\",\"\\n\",\"    # Add 3 spherical inclusions\\n\",\"    vp = 1500.0 * np.ones_like(xx)\\n\",\"    rho = 980.0 * np.ones_like(xx)\\n\",\"    mask = np.sqrt(xx**2 + yy**2) < 0.05\\n\",\"    vp[mask] = 1480.0\\n\",\"    rho[mask] = 1000.0\\n\",\"\\n\",\"    mask = np.sqrt(xx**2 + (yy - 0.025) ** 2) < 0.015\\n\",\"    vp[mask] = 1550.0\\n\",\"    rho[mask] = 1040.0\\n\",\"\\n\",\"    mask = np.sqrt(xx**2 + (yy + 0.025) ** 2) < 0.015\\n\",\"    vp[mask] = 1460.0\\n\",\"    rho[mask] = 1010.0\\n\",\"\\n\",\"    ds = xr.Dataset(\\n\",\"        data_vars={\\n\",\"            \\\"vp\\\": ([\\\"x\\\", \\\"y\\\"], vp),\\n\",\"            \\\"rho\\\": ([\\\"x\\\", \\\"y\\\"], rho),\\n\",\"        },\\n\",\"        coords={\\\"x\\\": x, \\\"y\\\": y},\\n\",\"    )\\n\",\"\\n\",\"    return ds\\n\",\"\\n\",\"\\n\",\"true_model = get_spherical_inclusion()\\n\",\"ax = true_model.vp.T.plot(figsize=(10, 6))\\n\",\"ax.axes.set_aspect(\\\"equal\\\")\"]},{\"cell_type\":\"code\",\"execution_count\":4,\"id\":\"f34641f5\",\"metadata\":{},\"outputs\":[{\"output_type\":\"display_data\",\"metadata\":{},\"data\":{}},{\"data\":{\"image/png\":\"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\",\"text/plain\":[\"<Figure size 1000x1000 with 1 Axes>\"]},\"metadata\":{},\"output_type\":\"display_data\"}],\"source\":[\"# Use the volume model to set up the project.\\n\",\"volume_model = sn.model.volume.cartesian.GenericModel(\\n\",\"    name=\\\"true_model\\\", data=true_model\\n\",\")\\n\",\"p = sn.Project.from_volume_model(\\n\",\"    path=\\\"project_full_waveform_inversion\\\",\\n\",\"    volume_model=volume_model,\\n\",\"    load_if_exists=True,\\n\",\")\\n\",\"\\n\",\"# Add the events.\\n\",\"for event in events:\\n\",\"    p.add_to_project(event)\\n\",\"\\n\",\"p.visualizations.notebook.domain()\"]},{\"cell_type\":\"code\",\"execution_count\":5,\"id\":\"8031915d\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"[2026-05-01 14:06:22,720] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Creating mesh. Hang on.\\n\",\"[2026-05-01 14:06:22,824] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Submitting job array with 5 jobs ...\\n\"]},{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"\\n\"]},{\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA9IAAACQCAYAAADk61MkAAAAAXNSR0IArs4c6QAAAARzQklUCAgI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\\niIiIOOD/A6RRauAZKvgXAAAAAElFTkSuQmCC\\n\"},\"metadata\":{\"needs_background\":\"light\"},\"output_type\":\"display_data\"},{\"data\":{\"text/plain\":[\"True\"]},\"execution_count\":5,\"metadata\":{},\"output_type\":\"execute_result\"}],\"source\":[\"# Generate the data for the target model.\\n\",\"wsc = sn.WaveformSimulationConfiguration(end_time_in_seconds=0.00015)\\n\",\"\\n\",\"ec = sn.EventConfiguration(\\n\",\"    waveform_simulation_configuration=wsc,\\n\",\"    wavelet=sn.simple_config.stf.Ricker(center_frequency=50000.0),\\n\",\")\\n\",\"p += sn.SimulationConfiguration(\\n\",\"    name=\\\"true_model_100kHz\\\",\\n\",\"    elements_per_wavelength=2,\\n\",\"    tensor_order=4,\\n\",\"    max_frequency_in_hertz=100000.0,\\n\",\"    model_configuration=sn.ModelConfiguration(\\n\",\"        background_model=None, volume_models=\\\"true_model\\\"\\n\",\"    ),\\n\",\"    event_configuration=ec,\\n\",\")\\n\",\"p.simulations.launch(\\n\",\"    simulation_configuration=\\\"true_model_100kHz\\\",\\n\",\"    events=p.events.list(),\\n\",\"    site_name=SALVUS_FLOW_SITE_NAME,\\n\",\"    ranks_per_job=1,\\n\",\")\\n\",\"p.simulations.query(block=True)\"]},{\"cell_type\":\"markdown\",\"id\":\"75135beb\",\"metadata\":{},\"source\":[\"## Initial Model\"]},{\"cell_type\":\"markdown\",\"id\":\"1496e61a\",\"metadata\":{},\"source\":[\"We can use a similar strategy for defining the initial model.  Note that we aren't required to launch the simulations here for the initial model as this will be taken care of automatically once we start the inversion.\"]},{\"cell_type\":\"code\",\"execution_count\":6,\"id\":\"711b29ed\",\"metadata\":{},\"outputs\":[],\"source\":[\"bm = sn.model.background.homogeneous.IsotropicAcoustic(vp=1500.0, rho=980.0)\\n\",\"mc = sn.ModelConfiguration(background_model=bm)\\n\",\"wsc = sn.WaveformSimulationConfiguration(end_time_in_seconds=0.00015)\\n\",\"\\n\",\"p += sn.SimulationConfiguration(\\n\",\"    name=\\\"initial_model\\\",\\n\",\"    elements_per_wavelength=2,\\n\",\"    tensor_order=2,\\n\",\"    max_frequency_in_hertz=100000.0,\\n\",\"    model_configuration=mc,\\n\",\"    event_configuration=sn.EventConfiguration(\\n\",\"        waveform_simulation_configuration=wsc,\\n\",\"        wavelet=sn.simple_config.stf.Ricker(center_frequency=50000.0),\\n\",\"    ),\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"84722590\",\"metadata\":{},\"source\":[\"## Full Waveform Inversion\\n\",\"\\n\",\"Salvus allows for a lot of control and flexibility in how exactly inverse problems are tackled. Things like data processing, window selection, custom weighting schemes, data normalization, bound constraints, wavelength dependent smoothing, and many more are supported but we don't show them in this micro-tutorial. Please refer to some advanced tutorials for more information.\\n\",\"\\n\",\"In all cases, an inverse problem requires the definition of a misfit, e.g. the optimization target, as well the actual configuration of the inverse problem.\"]},{\"cell_type\":\"code\",\"execution_count\":7,\"id\":\"9b2918a0\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"[2026-05-01 14:06:26,911] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Creating mesh. Hang on.\\n\"]}],\"source\":[\"# The misfit configuration defines how synthetics are compared to observed data.\\n\",\"p += sn.MisfitConfiguration(\\n\",\"    name=\\\"L2\\\",\\n\",\"    # Could be observed data. Here we compare to the synthetic target.\\n\",\"    observed_data=\\\"true_model_100kHz\\\",\\n\",\"    # Salvus comes with a variety of misfit functions. You can\\n\",\"    # also define your own.\\n\",\"    misfit_function=\\\"L2\\\",\\n\",\"    # This is an acoustic simulation so we'll use recordings of phi.\\n\",\"    receiver_field=\\\"phi\\\",\\n\",\")\\n\",\"\\n\",\"# Now we define the actual inverse problem\\n\",\"p += sn.InverseProblemConfiguration(\\n\",\"    name=\\\"my_inversion\\\",\\n\",\"    # Starting model.\\n\",\"    prior_model=\\\"initial_model\\\",\\n\",\"    # The events to use.\\n\",\"    events=p.events.list(),\\n\",\"    # What parameters to invert for.\\n\",\"    mapping=sn.Mapping(scaling=\\\"absolute\\\", inversion_parameters=[\\\"VP\\\", \\\"RHO\\\"]),\\n\",\"    # The smoothing.\\n\",\"    preconditioner=sn.ConstantSmoothing({\\\"VP\\\": 0.01, \\\"RHO\\\": 0.01}),\\n\",\"    # The inversion method.\\n\",\"    method=sn.TrustRegion(initial_trust_region_linf=10.0),\\n\",\"    # The misfit configuration we defined above.\\n\",\"    misfit_configuration=\\\"L2\\\",\\n\",\"    # Compress the forward wavefield by subsampling in time.\\n\",\"    wavefield_compression=sn.WavefieldCompression(\\n\",\"        forward_wavefield_sampling_interval=10\\n\",\"    ),\\n\",\"    # Job submission settings.\\n\",\"    job_submission=sn.SiteConfig(\\n\",\"        site_name=SALVUS_FLOW_SITE_NAME, ranks_per_job=1\\n\",\"    ),\\n\",\")\"]},{\"cell_type\":\"code\",\"execution_count\":8,\"id\":\"f6cd229a\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"[2026-05-01 14:06:26,965] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Adding new iteration #0.\\n\",\"[2026-05-01 14:06:26,976] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Resuming iteration #0.\\n\",\"\\n\",\"[2026-05-01 14:06:26,981] \\u001b[34m\\u001b[1mINFO\\u001b[0m: 1 new tasks have been issued.\\n\",\"[2026-05-01 14:06:26,988] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `misfit_and_gradient`\\n\",\"[2026-05-01 14:06:27,364] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Submitting job array with 5 jobs ...\\n\",\"\\n\",\"[2026-05-01 14:06:27,503] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Launched simulations for 5 events. Please check again to see if they are finished.\\n\",\"[2026-05-01 14:06:27,505] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Some tasks of iteration #0 are still running. Please check again later.\\n\",\"[2026-05-01 14:06:29,506] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `misfit_and_gradient`\\n\",\"[2026-05-01 14:06:29,617] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Some tasks of iteration #0 are still running. Please check again later.\\n\",\"[2026-05-01 14:06:31,618] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `misfit_and_gradient`\\n\",\"[2026-05-01 14:06:34,594] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Submitting job array with 5 jobs ...\\n\",\"\\n\",\"[2026-05-01 14:06:34,658] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Launched adjoint simulations for 5 events. Please check again to see if they are finished.\\n\",\"[2026-05-01 14:06:34,659] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Some tasks of iteration #0 are still running. Please check again later.\\n\",\"[2026-05-01 14:06:36,660] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `misfit_and_gradient`\\n\",\"[2026-05-01 14:06:36,903] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Some tasks of iteration #0 are still running. Please check again later.\\n\",\"[2026-05-01 14:06:38,905] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `misfit_and_gradient`\\n\",\"[2026-05-01 14:06:39,508] \\u001b[34m\\u001b[1mINFO\\u001b[0m: \\u001b[1m\\n\",\"Iteration 0: Number of events: 5\\t chi = 0.015278809366937164\\t ||g|| = 0.01996766071007446\\n\",\"pred = ---\\tared = ---\\tnorm_update = ---\\ttr_radius = ---\\u001b[0m\\n\",\"[2026-05-01 14:06:39,509] \\u001b[34m\\u001b[1mINFO\\u001b[0m: 1 new tasks have been issued.\\n\",\"[2026-05-01 14:06:39,510] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `preconditioner`\\n\",\"\\n\",\"[2026-05-01 14:06:39,606] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Some tasks of iteration #0 are still running. Please check again later.\\n\",\"[2026-05-01 14:06:41,619] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `preconditioner`\\n\",\"[2026-05-01 14:06:41,769] \\u001b[34m\\u001b[1mINFO\\u001b[0m: 1 new tasks have been issued.\\n\",\"[2026-05-01 14:06:41,770] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `misfit`\\n\",\"[2026-05-01 14:06:41,818] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Submitting job array with 5 jobs ...\\n\",\"\\n\",\"[2026-05-01 14:06:41,955] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Launched simulations for 5 events. Please check again to see if they are finished.\\n\",\"[2026-05-01 14:06:41,956] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Some tasks of iteration #0 are still running. Please check again later.\\n\",\"[2026-05-01 14:06:43,995] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `misfit`\\n\",\"[2026-05-01 14:06:44,069] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Some tasks of iteration #0 are still running. Please check again later.\\n\",\"[2026-05-01 14:06:46,097] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `misfit`\\n\",\"[2026-05-01 14:06:47,096] \\u001b[34m\\u001b[1mINFO\\u001b[0m: \\n\",\"old misfit control group: 0.015278809366937162\\n\",\"new misfit control group: 0.005913131187795305\\n\",\"predicted reduction control group: -0.007919777905044612\\n\",\"actual reduction control group: -0.009365678179141856\\n\",\"5 out of 5 event(s) improved the misfit.\\n\",\"[2026-05-01 14:06:47,097] \\u001b[34m\\u001b[1mINFO\\u001b[0m: \\u001b[32m\\n\",\"Model update accepted.\\u001b[0m\\n\",\"[2026-05-01 14:06:47,098] \\u001b[34m\\u001b[1mINFO\\u001b[0m: 1 new tasks have been issued.\\n\",\"[2026-05-01 14:06:47,098] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `finalize_iteration`\\n\",\"[2026-05-01 14:06:47,139] \\u001b[34m\\u001b[1mINFO\\u001b[0m: ... searching for obsolete files in project_full_waveform_inversion/INVERSIONS/my_inversion/00000\\n\",\"[2026-05-01 14:06:47,151] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Freed up 613.0 KB of space.\\n\",\"[2026-05-01 14:06:47,158] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Successfully completed iteration #0.\\n\",\"[2026-05-01 14:06:47,160] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Adding new iteration #1.\\n\",\"[2026-05-01 14:06:47,167] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Resuming iteration #1.\\n\",\"\\n\",\"[2026-05-01 14:06:47,168] \\u001b[34m\\u001b[1mINFO\\u001b[0m: 1 new tasks have been issued.\\n\",\"[2026-05-01 14:06:47,169] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `gradient`\\n\",\"[2026-05-01 14:06:47,345] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Submitting job array with 5 jobs ...\\n\",\"\\n\",\"[2026-05-01 14:06:47,426] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Launched adjoint simulations for 5 events. Please check again to see if they are finished.\\n\",\"[2026-05-01 14:06:47,427] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Some tasks of iteration #1 are still running. Please check again later.\\n\",\"[2026-05-01 14:06:49,429] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `gradient`\\n\",\"[2026-05-01 14:06:49,602] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Some tasks of iteration #1 are still running. Please check again later.\\n\",\"[2026-05-01 14:06:51,604] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `gradient`\\n\",\"[2026-05-01 14:06:52,196] \\u001b[34m\\u001b[1mINFO\\u001b[0m: \\u001b[1m\\n\",\"Iteration 1: Number of events: 5\\t chi = 0.005913131187795306\\t ||g|| = 0.009340556997480898\\n\",\"pred = -0.007919777905044612\\tared = -0.009365678179141856\\tnorm_update = 0.8813270007035139\\ttr_radius = 0.8813270316788413\\u001b[0m\\n\",\"[2026-05-01 14:06:52,208] \\u001b[34m\\u001b[1mINFO\\u001b[0m: 1 new tasks have been issued.\\n\",\"[2026-05-01 14:06:52,209] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `preconditioner`\\n\",\"\\n\",\"[2026-05-01 14:06:52,294] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Some tasks of iteration #1 are still running. Please check again later.\\n\",\"[2026-05-01 14:06:54,304] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `preconditioner`\\n\",\"[2026-05-01 14:06:54,432] \\u001b[34m\\u001b[1mINFO\\u001b[0m: 1 new tasks have been issued.\\n\",\"[2026-05-01 14:06:54,433] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `misfit`\\n\",\"[2026-05-01 14:06:54,484] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Submitting job array with 5 jobs ...\\n\",\"\\n\",\"[2026-05-01 14:06:54,617] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Launched simulations for 5 events. Please check again to see if they are finished.\\n\",\"[2026-05-01 14:06:54,619] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Some tasks of iteration #1 are still running. Please check again later.\\n\",\"[2026-05-01 14:06:56,647] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `misfit`\\n\",\"[2026-05-01 14:06:56,773] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Some tasks of iteration #1 are still running. Please check again later.\\n\",\"[2026-05-01 14:06:58,799] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `misfit`\\n\",\"[2026-05-01 14:06:59,823] \\u001b[34m\\u001b[1mINFO\\u001b[0m: \\n\",\"old misfit control group: 0.005913131187795305\\n\",\"new misfit control group: 0.004217192287619691\\n\",\"predicted reduction control group: -0.0008834066261442786\\n\",\"actual reduction control group: -0.0016959389001756139\\n\",\"5 out of 5 event(s) improved the misfit.\\n\",\"[2026-05-01 14:06:59,823] \\u001b[34m\\u001b[1mINFO\\u001b[0m: \\u001b[32m\\n\",\"Model update accepted.\\u001b[0m\\n\",\"[2026-05-01 14:06:59,824] \\u001b[34m\\u001b[1mINFO\\u001b[0m: 1 new tasks have been issued.\\n\",\"[2026-05-01 14:06:59,824] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Processing task `finalize_iteration`\\n\",\"[2026-05-01 14:06:59,888] \\u001b[34m\\u001b[1mINFO\\u001b[0m: ... searching for obsolete files in project_full_waveform_inversion/INVERSIONS/my_inversion/00001\\n\",\"[2026-05-01 14:07:00,005] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Freed up 3.2 MB of space.\\n\",\"[2026-05-01 14:07:00,005] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Successfully completed iteration #1.\\n\",\"[2026-05-01 14:07:00,008] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Adding new iteration #2.\\n\"]}],\"source\":[\"# Lastly we perform two iterations, and have a look at the results.\\n\",\"for i in range(2):\\n\",\"    p.inversions.iterate(\\n\",\"        inverse_problem_configuration=\\\"my_inversion\\\",\\n\",\"        timeout_in_seconds=360,\\n\",\"        ping_interval_in_seconds=2,\\n\",\"        delete_disposable_files=\\\"all\\\",\\n\",\"    )\"]},{\"cell_type\":\"code\",\"execution_count\":9,\"id\":\"0ed6d317\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA9IAAAXdCAYAAAAFFWUxAAAAAXNSR0IArs4c6QAAAARzQklUCAgI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\\nAABJRU5ErkJggg==\\n\"},\"metadata\":{\"needs_background\":\"light\"},\"output_type\":\"display_data\"}],\"source\":[\"p.viz.nb.inversion(inverse_problem_configuration=\\\"my_inversion\\\")\"]}],\"metadata\":{\"jupytext\":{\"cell_metadata_json\":true,\"formats\":\"ipynb,py:light\"},\"kernelspec\":{\"display_name\":\"Python 3 (ipykernel)\",\"language\":\"python\",\"name\":\"python3\"},\"language_info\":{\"codemirror_mode\":{\"name\":\"ipython\",\"version\":3},\"file_extension\":\".py\",\"mimetype\":\"text/x-python\",\"name\":\"python\",\"nbconvert_exporter\":\"python\",\"pygments_lexer\":\"ipython3\",\"version\":\"3.11.15\"}},\"nbformat\":4,\"nbformat_minor\":5}","notebook_widget_size_map":"{}","path_to_zip_file":"/2025.1.3/examples/tutorials/first_steps/tutorial.zip","zip_file_size":"128.09 kB"}},"pageContext":{"slug":"/2025.1.3/examples/tutorials/first_steps/my_first_inversion","pagePath":"2025.1.3/examples/tutorials/first_steps/my_first_inversion"}},
    "staticQueryHashes": ["1756726491","1865182279","3419370438","3597190305","4112489441","519097329"]}