Code Monkey home page Code Monkey logo

pyraysum's Introduction

Software for modeling ray-theoretical body-wave propagation

This program generates sets of ray-theoretical seismograms for an incident plane wave (teleseismic approximation) for models consisting of a stack of layers with planar but nonparallel (dipping) interfaces, allowing the possibility of anisotropy in the layers. Incident P and S waves are supported.

PyRaysum is a Python wrapper around the Fortran software Raysum, originally developed by Andrew Frederiksen. Although a trimmed down version of the Fortran code is supplied with PyRaysum, you can find the original version here.

build codecov

Installation, API documentation, scripts and tutorials are described at https://paudetseis.github.io/PyRaysum/

Authors: Pascal Audet (Developer and Maintainer of PyRaysum) & Andrew Frederiksen & (Developer of original Fortran version)

Contributing

All constructive contributions are welcome, e.g. bug reports, discussions or suggestions for new features. You can either open an issue on GitHub or make a pull request with your proposed changes. Before making a pull request, check if there is a corresponding issue opened and reference it in the pull request. If there isn't one, it is recommended to open one with your rationale for the change. New functionality or significant changes to the code that alter its behavior should come with corresponding tests and documentation. If you are new to contributing, you can open a work-in-progress pull request and have it iteratively reviewed.

Examples of contributions include notebooks that describe published examples of PyRaysum usage and processing. Suggestions for improvements (speed, accuracy, plotting, etc.) are also welcome.

Citing

If you use PyRaysum in your work, please cite the Zenodo DOI (not yet available) and the following paper:

  • Frederiksen, A.W., and Bostock, M.G. (1999) Modelling teleseismic waves in dipping anisotropic structures. Geophysical Journal International 141: 401-412.

pyraysum's People

Contributors

paudetseis avatar wasjabloch avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.