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Particle motion analysis for seismic surface waves

Project description

Particle Man

Particle motion analysis of seismic surface waves using the Stockwell Transform.

License: GPL v2 pipeline status

Seismic surface waves can be detected and extracted from three-component data through particle motion polarization analysis. Particle Man is a software package that employs the Stockwell Transform to perform surface wave filtering/extraction and display for multifrequency analysis.

This package implements the Normalized Inner Product surface wave filtering and extraction methods of Meza-Fajardo et al., (2015). The Stockwell transform is implemented in C using FFTW libraries.

chirp

filtered retrograde radial

Installation

Prerequisites

  • C compiler
  • fftw3

Dependencies

  • Python 3
  • NumPy
  • Matplotlib

Using from a Conda environment.yml

The environment.yml file will install everything you need into a particleman environment: conda env create -f environment.yml. To install Particle Man into an existing Conda environment, make sure you've got the dependencies you need installed and available, and just use pip to install it from source.

Manually on a Mac

gcc from XCode should work fine. Getting fttw3 is easy with homebrew (brew install fftw) or with Conda (conda install -c conda-forge fftw).

To Particle Man install from source, just:

pip install .

Project details


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particleman-0.3.0.tar.gz (17.3 kB view hashes)

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particleman-0.3.0-cp36-cp36m-macosx_10_7_x86_64.whl (27.3 kB view hashes)

Uploaded CPython 3.6m macOS 10.7+ x86-64

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