Surface Wave Tomography

Surface Wave Tomography#

Contribution Metadata for Surface-wave Tomography

Mapping lateral variations in surface-wave velocity at continental (USA – example 1) and global (example 2) scale. Here, the problem is linearized, meaning that we assume that surface waves travel along the great-circle path connecting two points on the Earth surface.

Author:

Fabrizio Magrini

Contact:

Fabrizio Magrini (fabrizio.magrini@anu.edu.au)

Citation:
Extra website:

Example usage for SurfaceWaveTomography#

Code block below is generated automatically based on our tests and inspection of the example objects. We’d like to also refer you to the API Reference for more about the Espresso API.

 1import espresso
 2
 3# Create a SurfaceWaveTomography object
 4my_surface_wave_tomography = espresso.SurfaceWaveTomography(example_number=1)
 5
 6# Guaranteed API
 7model_size     = my_surface_wave_tomography.model_size
 8data_size      = my_surface_wave_tomography.data_size
 9null_model     = my_surface_wave_tomography.starting_model
10good_model     = my_surface_wave_tomography.good_model
11given_data     = my_surface_wave_tomography.data
12synthetic_data = my_surface_wave_tomography.forward(good_model)
13
14# Optional API
15example_desc       = my_surface_wave_tomography.description
16jacobian           = my_surface_wave_tomography.jacobian(good_model)
17model_fig          = my_surface_wave_tomography.plot_model(good_model)
18misfit_val         = my_surface_wave_tomography.misfit(given_data, synthetic_data)

Additional attributes to explore: [example_dict, list_capabilities, parameterization].

LICENCE#

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Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

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