disba

Numba-accelerated computation of surface wave dispersion

https://github.com/keurfonluu/disba

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Numba-accelerated computation of surface wave dispersion

README.rst

disba
=====

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**disba** is a computationally efficient Python library for the modeling of surface wave dispersion that implements a subset of codes from `Computer Programs in Seismology (CPS) `__ in Python compiled `just-in-time `__ with `numba `__. Such implementation alleviates the usual prerequisite for a Fortran compiler needed by other libraries also based on CPS (e.g., `pysurf96 `__, `srfpython `__ and `PyLayeredModel `__) which often leads to further installation troubleshooting, especially on Windows platform.

**disba** aims to be lightweight and portable without compromising on the performance. For both Rayleigh-wave and Love-wave, it is significantly faster than CPS's *surf96* program compiled with `f2py `__, noticeably for large number of layers.

.. list-table::

   *  - |Perf Rayleigh|
      - |Perf Love|

Features
--------

Forward modeling:

-  Compute Rayleigh-wave phase or group dispersion curves using *Dunkin's matrix* or *fast delta matrix* algorithms,
-  Compute Love-wave phase or group dispersion curves using *Thomson-Haskell* method,
-  Compute Rayleigh-wave ellipticity.

Eigenfunctions and sensitivity kernels:

-  Compute Rayleigh- and Love- wave eigenfunctions,
-  Compute Rayleigh- and Love- wave phase or group velocity, and Rayleigh-wave ellipticity sensitivity kernels with respect to layer thickness, P- and S- wave velocities, and density.

Installation
------------

The recommended way to install **disba** and all its dependencies is through the Python Package Index:

.. code:: bash

   pip install disba[full] --user

Otherwise, clone and extract the package, then run from the package location:

.. code:: bash

   pip install .[full] --user

To test the integrity of the installed package, check out this repository and run:

.. code:: bash

   pytest

Documentation
-------------

Refer to the online `documentation `__ for detailed description of the API and examples.

Alternatively, the documentation can be built using `Sphinx `__:

.. code:: bash

   pip install -r doc/requirements.txt
   sphinx-build -b html doc/source doc/build

Usage
-----

The following example computes the Rayleigh- and Love- wave phase velocity dispersion curves for the 3 first modes.

.. code:: python

   import numpy as np
   from disba import PhaseDispersion

   # Velocity model
   # thickness, Vp, Vs, density
   # km, km/s, km/s, g/cm3
   velocity_model = np.array([
      [10.0, 7.00, 3.50, 2.00],
      [10.0, 6.80, 3.40, 2.00],
      [10.0, 7.00, 3.50, 2.00],
      [10.0, 7.60, 3.80, 2.00],
      [10.0, 8.40, 4.20, 2.00],
      [10.0, 9.00, 4.50, 2.00],
      [10.0, 9.40, 4.70, 2.00],
      [10.0, 9.60, 4.80, 2.00],
      [10.0, 9.50, 4.75, 2.00],
   ])

   # Periods must be sorted starting with low periods
   t = np.logspace(0.0, 3.0, 100)

   # Compute the 3 first Rayleigh- and Love- wave modal dispersion curves
   # Fundamental mode corresponds to mode 0
   pd = PhaseDispersion(*velocity_model.T)
   cpr = [pd(t, mode=i, wave="rayleigh") for i in range(3)]
   cpl = [pd(t, mode=i, wave="love") for i in range(3)]

   # pd returns a namedtuple (period, velocity, mode, wave, type)

.. list-table::

   *  - |Sample Rayleigh|
      - |Sample Love|

Likewise, ``GroupDispersion`` can be used for group velocity.

**disba**'s API is consistent across all its classes which are initialized and called in the same fashion. Thus, eigenfunctions are calculated as follow:

.. code:: python

   from disba import EigenFunction

   eigf = EigenFunction(*velocity_model.T)
   eigr = eigf(20.0, mode=0, wave="rayleigh")
   eigl = eigf(20.0, mode=0, wave="love")

   # eigf returns a namedtuple
   #  - (depth, ur, uz, tz, tr, period, mode) for Rayleigh-wave
   #  - (depth, uu, tt, period, mode) for Love-wave

.. list-table::

   *  - |Eigen Rayleigh|
      - |Eigen Love|

Phase velocity sensitivity kernels (``GroupSensitivity`` for group velocity):

.. code:: python

   from disba import PhaseSensitivity

   ps = PhaseSensitivity(*velocity_model.T)
   parameters = ["thickness", "velocity_p", "velocity_s", "density"]
   skr = [ps(20.0, mode=0, wave="rayleigh", parameter=parameter) for parameter in parameters]
   skl = [ps(20.0, mode=0, wave="love", parameter=parameter) for parameter in parameters]

   # ps returns a namedtuple (depth, kernel, period, velocity, mode,wave, type, parameter)

.. list-table::

   *  - |Kernel Rayleigh|
      - |Kernel Love|

Ellipticity and ellipticity sensitivity kernels:

.. code:: python

   from disba import Ellipticity, EllipticitySensitivity

   ell = Ellipticity(*velocity_model.T)
   rel = ell(t, mode=0)

   # ell returns a namedtuple (period, ellipticity, mode)

   es = EllipticitySensitivity(*velocity_model.T)
   ek = [es(20.0, mode=0, parameter=parameter) for parameter in parameters]

   # es returns a namedtuple (depth, kernel, period, velocity, mode, wave, type, parameter)

.. list-table::

   *  - |Sample Ellipticity|
      - |Kernel Ellipticity|

Contributing
------------

Please refer to the `Contributing
Guidelines `__ to see how you can help. This project is released with a `Code of Conduct `__ which you agree to abide by when contributing.

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.. |Awesome| image:: https://img.shields.io/badge/awesome-yes-C6A4BF
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.. |Perf Rayleigh| image:: https://raw.githubusercontent.com/keurfonluu/disba/e29865fb0b385b295bc55b733a138a741787879d/.github/perf_rayleigh.svg
   :alt: perf-rayleigh

.. |Perf Love| image:: https://raw.githubusercontent.com/keurfonluu/disba/5d23a8bb3967fd59c1a38b59ce1bf800749c7eb2/.github/perf_love.svg
   :alt: perf-love

.. |Sample Rayleigh| image:: https://raw.githubusercontent.com/keurfonluu/disba/5d23a8bb3967fd59c1a38b59ce1bf800749c7eb2/.github/sample_rayleigh.svg
   :alt: sample-rayleigh

.. |Sample Love| image:: https://raw.githubusercontent.com/keurfonluu/disba/5d23a8bb3967fd59c1a38b59ce1bf800749c7eb2/.github/sample_love.svg
   :alt: sample-love

.. |Sample Ellipticity| image:: https://raw.githubusercontent.com/keurfonluu/disba/5f9b95a144e3751ffa98b5860663af874c02ae1c/.github/sample_ellipticity.svg
   :alt: sample-ellipticity

.. |Eigen Rayleigh| image:: https://raw.githubusercontent.com/keurfonluu/disba/5f9b95a144e3751ffa98b5860663af874c02ae1c/.github/eigen_rayleigh.svg
   :alt: eigen-rayleigh

.. |Eigen Love| image:: https://raw.githubusercontent.com/keurfonluu/disba/5f9b95a144e3751ffa98b5860663af874c02ae1c/.github/eigen_love.svg
   :alt: eigen-love

.. |Kernel Rayleigh| image:: https://raw.githubusercontent.com/keurfonluu/disba/5f9b95a144e3751ffa98b5860663af874c02ae1c/.github/kernel_rayleigh.svg
   :alt: kernel-rayleigh

.. |Kernel Love| image:: https://raw.githubusercontent.com/keurfonluu/disba/5f9b95a144e3751ffa98b5860663af874c02ae1c/.github/kernel_love.svg
   :alt: kernel-love

.. |Kernel Ellipticity| image:: https://raw.githubusercontent.com/keurfonluu/disba/5f9b95a144e3751ffa98b5860663af874c02ae1c/.github/kernel_ellipticity.svg
   :alt: kernel-ellipticity

Owner

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Luu"
  given-names: "Keurfon"
  orcid: "https://orcid.org/0000-0001-7927-0019"
title: "disba: Numba-accelerated computation of surface wave dispersion"
doi: 10.5281/zenodo.3987395
url: https://github.com/keurfonluu/disba
license: BSD-3-Clause

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