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    "componentChunkName": "component---src-templates-notebook-tsx",
    "path": "/2025.1.3/examples/tutorials/getting_started/tutorial_part3",
    "result": {"data":{"site":{"siteMetadata":{"salvusDocVersions":{"current":"2026.5.0"}}},"jupyterNotebook":{"slug":"/2025.1.3/examples/tutorials/getting_started/tutorial_part3","notebook_widgets_root_path":"/jupyter_notebook_widgets","notebook_json":"{\"cells\":[{\"cell_type\":\"markdown\",\"id\":\"2efeef77\",\"metadata\":{},\"source\":[\"# Lamb's problem\\n\",\"\\n\",\"## Part 3 - Visualization and extensions\\n\",\"\\n\",\"In this part, we'll take a look at other output options, visualize the entire wavefield and start exploring other types of sources and receivers.\"]},{\"cell_type\":\"code\",\"execution_count\":1,\"id\":\"7745633f\",\"metadata\":{},\"outputs\":[],\"source\":[\"%matplotlib inline\"]},{\"cell_type\":\"code\",\"execution_count\":2,\"id\":\"6e76694a\",\"metadata\":{},\"outputs\":[],\"source\":[\"# This notebook will use this variable to determine which\\n\",\"# remote site to run on.\\n\",\"import os\\n\",\"\\n\",\"SALVUS_FLOW_SITE_NAME = os.environ.get(\\\"SITE_NAME\\\", \\\"local\\\")\\n\",\"PROJECT_DIR = \\\"project\\\"\"]},{\"cell_type\":\"code\",\"execution_count\":3,\"id\":\"963c72d9\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"Opening existing project.\\n\"]},{\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA9IAAABoCAYAAAAdKshQAAAAAXNSR0IArs4c6QAAAARzQklUCAgI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\\nCgRpAAAAAACi8H9YW4laNqqcwwAAAABJRU5ErkJggg==\\n\"},\"metadata\":{\"needs_background\":\"light\"},\"output_type\":\"display_data\"}],\"source\":[\"import matplotlib.pyplot as plt\\n\",\"import numpy as np\\n\",\"import pathlib\\n\",\"\\n\",\"import salvus.namespace as sn\\n\",\"from salvus.project.tools.processing import block_processing\\n\",\"from salvus.toolbox.helpers.wavefield_output import (\\n\",\"    WavefieldOutput,\\n\",\"    wavefield_output_to_xarray,\\n\",\")\\n\",\"\\n\",\"print(\\\"Opening existing project.\\\")\\n\",\"p = sn.Project(path=PROJECT_DIR)\"]},{\"cell_type\":\"markdown\",\"id\":\"dd7dbeef\",\"metadata\":{},\"source\":[\"We want to rerun `simulation_3`, but with volumetric output.\\n\",\"In addition to displacement, let's also output the spatial gradient of the displacement field, so we can compute derived quantities like the divergence or curl afterwards.\"]},{\"cell_type\":\"code\",\"execution_count\":4,\"id\":\"39a03507\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"[2026-05-01 14:08:04,209] \\u001b[34m\\u001b[1mINFO\\u001b[0m: delete_conflicting_previous_results is set to True. Deleting results for simulation configuration simulation_3 and event event_0.\\n\",\"[2026-05-01 14:08:04,212] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Removing contents of `project/EVENTS/event_0/WAVEFORM_DATA/INTERNAL/55/11/abcfd69ba132`.\\n\",\"[2026-05-01 14:08:04,234] \\u001b[34m\\u001b[1mINFO\\u001b[0m: Submitting job ...\\n\",\"Uploading 1 files...\\n\",\"\\n\",\"🚀  Submitted job_2605011408369764_649e716343\\u001b[0m@\\u001b[34mlocal\\u001b[0m\\n\"]},{\"data\":{\"text/plain\":[\"1\"]},\"execution_count\":4,\"metadata\":{},\"output_type\":\"execute_result\"}],\"source\":[\"p.simulations.launch(\\n\",\"    ranks_per_job=2,\\n\",\"    site_name=SALVUS_FLOW_SITE_NAME,\\n\",\"    events=p.events.list(),\\n\",\"    simulation_configuration=\\\"simulation_3\\\",\\n\",\"    extra_output_configuration={\\n\",\"        \\\"volume_data\\\": {\\n\",\"            \\\"sampling_interval_in_time_steps\\\": 10,\\n\",\"            \\\"fields\\\": [\\\"displacement\\\", \\\"gradient-of-displacement\\\"],\\n\",\"        },\\n\",\"    },\\n\",\"    # We have previously simulated the same event but without\\n\",\"    # extra output. We have to thus overwrite the existing\\n\",\"    # simulation.\\n\",\"    delete_conflicting_previous_results=True,\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"7817104b\",\"metadata\":{},\"source\":[\"And that's it! The simulations are off and running. Salvus<i>Flow</i> will take care of abstracting the machine archcitecture, and Salvus<i>Project</i> will take care of saving all the output data into the correct location, copying it from any remote machines as necessary. We can get the current status of the simulations by calling `query_simulations()` as below.\"]},{\"cell_type\":\"code\",\"execution_count\":5,\"id\":\"17a0f59e\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA9IAAACRCAYAAAAvt4CBAAAAAXNSR0IArs4c6QAAAARzQklUCAgI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\\ngg==\\n\"},\"metadata\":{\"needs_background\":\"light\"},\"output_type\":\"display_data\"},{\"data\":{\"text/plain\":[\"True\"]},\"execution_count\":5,\"metadata\":{},\"output_type\":\"execute_result\"}],\"source\":[\"p.simulations.query(block=True)\"]},{\"cell_type\":\"markdown\",\"id\":\"2c9cf06f\",\"metadata\":{},\"source\":[\"## Visualizing in Paraview\\n\",\"\\n\",\"The jupyter widgets are great to get a glimpse of many entities. However, more advanced visualization requires external tools such as Paraview.\\n\",\"\\n\",\"Meshes and wavefield data are read and written as HDF5 files. The HDF5 library allows us to performantly access single files in parallel, as well as allowing for the portable sharing of such files. To see a visual representation of what's in these files we recommend using Paraview.\\n\",\"\\n\",\"Note that we strongly recommend to download Paraview from the official website -- the versions installed through Linux package management systems often do not come with the correct libraries installed.\\n\",\"\\n\",\"Files are visualized in Paraview using the XDMF standard. This is why you'll see for every mesh, surface, or volume output file used by Salvus, an associated file with the same name but with a .xdmf file suffix.\\n\",\"\\n\",\"You can query the internal folder where the output is stored with the following command.\"]},{\"cell_type\":\"code\",\"execution_count\":6,\"id\":\"1d78a3dd\",\"metadata\":{},\"outputs\":[{\"data\":{\"text/plain\":[\"PosixPath('project/EVENTS/event_0/WAVEFORM_DATA/INTERNAL/55/11/abcfd69ba132')\"]},\"execution_count\":6,\"metadata\":{},\"output_type\":\"execute_result\"}],\"source\":[\"p.simulations.get_simulation_output_directory(\\n\",\"    simulation_configuration=\\\"simulation_3\\\", event=p.events.list()[0]\\n\",\")\"]},{\"cell_type\":\"code\",\"execution_count\":7,\"id\":\"f048ee81\",\"metadata\":{},\"outputs\":[],\"source\":[\"# Uncomment the next line and paste the path from above\\n\",\"# !ls _paste_the_path_above_here\"]},{\"cell_type\":\"markdown\",\"id\":\"e396a963\",\"metadata\":{},\"source\":[\"We see some log files, meta information, receiver data and volumetric output. The file `volume_data_output_elastic_volume.xdmf` is what we are after. It is this .xdmf file that should be opened in Paraview. When you do open such a file, you should see a dialogue box to select the correct reader. Make sure to select the `XDMF Reader` and not any of the `Xdmf3Reader` or Paraview will crash immediately :-/\\n\",\"\\n\",\"## Post-processing of receiver and wavefield output\\n\",\"\\n\",\"If there is no time step explicitly provided in the `WaveformSimulationConfiguration`, Salvus will automatically compute a suitable time step for the simulation based on the CFL condition. This will typically heavily oversample the signal. For post-processing, however, it might be convenient to work with resampled data.\\n\",\"\\n\",\"### Receiver output\"]},{\"cell_type\":\"code\",\"execution_count\":8,\"id\":\"6db0fd8a\",\"metadata\":{},\"outputs\":[],\"source\":[\"ed = p.waveforms.get(\\\"simulation_3\\\", p.events.list())\"]},{\"cell_type\":\"markdown\",\"id\":\"3b3f1c3a\",\"metadata\":{},\"source\":[\"Currently, the event data object contains the raw simulation output using the sampling rate / time step of the simulation. We can print the receiver data to verify the number of samples and sampling rate for all traces.\"]},{\"cell_type\":\"code\",\"execution_count\":9,\"id\":\"bacb4596\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"2 Trace(s) in Stream:\\n\",\"XX.REC1..X | 1969-12-31T23:59:59.920000Z - 1970-01-01T00:00:00.600000Z | 1038.2 Hz, 707 samples\\n\",\"XX.REC1..Y | 1969-12-31T23:59:59.920000Z - 1970-01-01T00:00:00.600000Z | 1038.2 Hz, 707 samples\\n\"]}],\"source\":[\"print(\\n\",\"    ed[0].get_receiver_data(\\n\",\"        receiver_name=\\\"XX.REC1.\\\", receiver_field=\\\"displacement\\\"\\n\",\"    )\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"696dfc9b\",\"metadata\":{},\"source\":[\"\\n\",\"\\n\",\"The event data object allows us to define a custom time interval and sampling rate to resample all traces on-the-fly. To this end, we first specify the desired time discretization. Any subsequent calls quereing data from the `EventData` object will then work with re-sampled data. For example, we can extract 250 samples at a sampling rate of 500 Hz starting from time zero as follows:\"]},{\"cell_type\":\"code\",\"execution_count\":10,\"id\":\"cdcea095\",\"metadata\":{},\"outputs\":[],\"source\":[\"ed[0].set_temporal_interpolation(\\n\",\"    start_time_in_seconds=0.0, sampling_rate_in_hertz=500, npts=250\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"a2850b3f\",\"metadata\":{},\"source\":[\"Retrieving the receiver data again now shows the desired sampling rate.\"]},{\"cell_type\":\"code\",\"execution_count\":11,\"id\":\"0685b899\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"2 Trace(s) in Stream:\\n\",\"XX.REC1..X | 1970-01-01T00:00:00.000000Z - 1970-01-01T00:00:00.498000Z | 500.0 Hz, 250 samples\\n\",\"XX.REC1..Y | 1970-01-01T00:00:00.000000Z - 1970-01-01T00:00:00.498000Z | 500.0 Hz, 250 samples\\n\"]},{\"data\":{\"image/png\":\"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\",\"text/plain\":[\"<Figure size 800x500 with 2 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\",\"text/plain\":[\"<Figure size 800x500 with 2 Axes>\"]},\"execution_count\":11,\"metadata\":{},\"output_type\":\"execute_result\"}],\"source\":[\"print(\\n\",\"    ed[0].get_receiver_data(\\n\",\"        receiver_name=\\\"XX.REC1.\\\", receiver_field=\\\"displacement\\\"\\n\",\"    )\\n\",\")\\n\",\"ed[0].get_receiver_data(\\n\",\"    receiver_name=\\\"XX.REC1.\\\", receiver_field=\\\"displacement\\\"\\n\",\").plot()\"]},{\"cell_type\":\"markdown\",\"id\":\"588f090a\",\"metadata\":{},\"source\":[\"`get_receiver_data` returns an obspy stream object containing a list of traces. You can access individual traces by index and the raw data by the member `data`, which is a numpy array. Here, we query the `Y` component at index `1`.\"]},{\"cell_type\":\"code\",\"execution_count\":12,\"id\":\"e3875895\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"<class 'numpy.ndarray'> (250,)\\n\"]}],\"source\":[\"trace_data = (\\n\",\"    ed[0]\\n\",\"    .get_receiver_data(\\n\",\"        receiver_name=\\\"XX.REC1.\\\", receiver_field=\\\"displacement\\\"\\n\",\"    )[1]\\n\",\"    .data\\n\",\")\\n\",\"print(type(trace_data), trace_data.shape)\"]},{\"cell_type\":\"markdown\",\"id\":\"7f2509bc\",\"metadata\":{},\"source\":[\"Alternatively, you can retrieve the resampled data of all receivers for a single component.\\n\",\"Note that you can pass an additional sorting routine to `get_data_cube` in case you seek to obtain the receivers in a certain order. The function returns a tuple of the time axis as 1D array, and receiver data as 2D array `(nrec x nt)`. There is also the option to sort the receivers in case a certain order is desired.\"]},{\"cell_type\":\"code\",\"execution_count\":13,\"id\":\"48698b58\",\"metadata\":{},\"outputs\":[],\"source\":[\"times, values = ed[0].get_data_cube(\\n\",\"    receiver_field=\\\"displacement\\\", component=\\\"Y\\\"\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"4b902ea8\",\"metadata\":{},\"source\":[\"Both functions return the same data, obviously.\"]},{\"cell_type\":\"code\",\"execution_count\":14,\"id\":\"f33e7ad0\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"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\",\"text/plain\":[\"<Figure size 640x480 with 1 Axes>\"]},\"metadata\":{},\"output_type\":\"display_data\"}],\"source\":[\"plt.plot(times, values[0, :], label=\\\"get_data_cube\\\")\\n\",\"plt.plot(times, trace_data, \\\"--\\\", label=\\\"get_receiver_data\\\")\\n\",\"plt.legend()\\n\",\"plt.show()\"]},{\"cell_type\":\"markdown\",\"id\":\"ae6ec7b2\",\"metadata\":{},\"source\":[\"### Volumetric output\\n\",\"\\n\",\"For volumetric wavefield output, we additionally have to deal with the complexity of the spatial discretization. Salvus uses unstructured meshes, but it might be desirable to obtain the wavefield output on a regular grid or at a predefined set of points. This kind of post-processing is possible with the `WavefieldOutput` object.\"]},{\"cell_type\":\"code\",\"execution_count\":15,\"id\":\"88128bc4\",\"metadata\":{},\"outputs\":[],\"source\":[\"# First, retrieve the volumetric output file\\n\",\"output_file = pathlib.Path(\\n\",\"    p.simulations.get_simulation_output_directory(\\\"simulation_3\\\", \\\"event_0\\\"),\\n\",\"    \\\"volume_data_output.h5\\\",\\n\",\")\\n\",\"\\n\",\"# Create a WavefieldOutput object for resampling\\n\",\"volume_output = WavefieldOutput.from_file(\\n\",\"    output_file, \\\"displacement\\\", \\\"volume\\\"\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"ba6c1e7d\",\"metadata\":{},\"source\":[\"Now, we resample the volumetric wavefield output. The output is an `xarray.DataArray` with dimensions for\\n\",\"time, components and the array of points provided. The second argument can be an arbitrary array of points.\\n\",\"Here, we just use the coordinates of the points in the mesh.\"]},{\"cell_type\":\"code\",\"execution_count\":16,\"id\":\"ce5f205e\",\"metadata\":{},\"outputs\":[],\"source\":[\"sampled_output_1 = wavefield_output_to_xarray(\\n\",\"    volume_output, p.simulations.get_mesh(\\\"simulation_3\\\").points\\n\",\").T\"]},{\"cell_type\":\"markdown\",\"id\":\"35758538\",\"metadata\":{},\"source\":[\"For output on a regular grid, we can alternatively provide the sampling along each coordinate axis as a list.\\n\",\"For instance, we can sample on a regular grid in `x` and `y` with 10 m spacing.\\n\"]},{\"cell_type\":\"code\",\"execution_count\":17,\"id\":\"0149861c\",\"metadata\":{},\"outputs\":[],\"source\":[\"sampled_output_2 = wavefield_output_to_xarray(\\n\",\"    volume_output,\\n\",\"    [\\n\",\"        np.linspace(0.0, 2000.0, 200),\\n\",\"        np.linspace(0.0, 1000.0, 100),\\n\",\"    ],\\n\",\").T\"]},{\"cell_type\":\"markdown\",\"id\":\"e7c3a753\",\"metadata\":{},\"source\":[\"We can now easily plot a snapshot of the wavefield using the built-in routines of `xarray`.\"]},{\"cell_type\":\"code\",\"execution_count\":18,\"id\":\"b1d4d1d4\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"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\",\"text/plain\":[\"<Figure size 640x480 with 2 Axes>\"]},\"metadata\":{},\"output_type\":\"display_data\"}],\"source\":[\"ax = sampled_output_2.sel(c=1, t=sampled_output_2.t[20]).plot(\\n\",\"    shading=\\\"gouraud\\\", infer_intervals=False\\n\",\")\\n\",\"ax.axes.set_aspect(\\\"equal\\\")\"]},{\"cell_type\":\"markdown\",\"id\":\"452b57e9\",\"metadata\":{},\"source\":[\"As a final step of post-processing, we want to resample the volumetric output in time. There is currently no unified interface to do that, but you could manually achieve it with the following snippet.\"]},{\"cell_type\":\"code\",\"execution_count\":19,\"id\":\"79593eb7\",\"metadata\":{},\"outputs\":[],\"source\":[\"resampled_output = block_processing.resample(\\n\",\"    sampled_output_1.data, sampled_output_1.t.data, np.linspace(0.0, 0.5, 251)\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"11b1f28e\",\"metadata\":{},\"source\":[\"## Exercise\\n\",\"\\n\",\"Now, it's time to play around with Salvus.\\n\",\"\\n\",\"How about adding a new event with a moment tensor point source and strain receivers?\\n\",\"Have a look at the beginning of part one and try to create `event_1` with newly defined source(s) and receivers.\\n\",\"\\n\",\"You could also ramp up the frequency and send some simulations to a bigger machine. Once you have registered a site with  Salvus<i>Flow</i>, you only need to adjust the `site_name` and the `ranks_per_job` in the `launch` function and Salvus will take care about the rest.\\n\"]}],\"metadata\":{\"jupytext\":{\"cell_metadata_json\":true},\"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/getting_started/tutorial.zip","zip_file_size":"202.56 kB"}},"pageContext":{"slug":"/2025.1.3/examples/tutorials/getting_started/tutorial_part3","pagePath":"2025.1.3/examples/tutorials/getting_started/tutorial_part3"}},
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