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Noisi - ambient noise cross-correlation modeling and inversion

This tool can be used to simulate noise cross-correlations and sensitivity kernels to noise sources.

Installation

Install requirements (easiest done with anaconda)

  • obspy
  • PyYaml
  • pandas
  • mpi4py
  • geographiclib
  • cartopy
  • h5py
  • jupyter
  • pytest

Additionally, install instaseis, if you plan to use it for Green's functions. Install jupyter notebook if you intend to run the tutorial (see below).

If you encounter problems with mpi4py, try removing it and reinstalling it using pip (pip install mpi4py).

Clone the repository with git: git clone https://github.com/lermert/noisi_v1.git

Change into the noisi/ or noisi-master/ directory. Call pip install -v . here.

After installation, consider running pytest in the noisi/noisi_v1 directory and let us know of any errors it produces (warnings are o.k.).

Getting started

To see an overview of the tool, type noisi --help. A step-by-step tutorial for jupyter notebook can be found in the noisi/noisi_v1 directory: noisi_introduction.ipynb.

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  • Python 88.6%
  • Jupyter Notebook 11.4%