MTtime

MTtime (Time Domain Moment Tensor Inversion in Python) is a python package developed for time domain inversion of complete seismic waveform data to obtain the seismic moment tensor. It supports deviatoric and full moment tensor inversions, and 1-D and 3-D basis Green's functions.

Requirements

The package was developed on python 3.7 and 3.8, and is running and tested on Mac OSX.

• ObsPy and its dependencies
• pandas
• cartopy (for plotting maps)

Installation

• Create a Python environment
• Install ObsPy and pandas
• Make sure you have cloned the repository <https://github.com/LLNL/mttime>_
• Install mttime

I recommend installing Python via Miniconda <https://docs.conda.io/en/latest/miniconda.html>_ or Anaconda <https://docs.anaconda.com/anaconda/install/>. Choose Miniconda for a lower footprint. Then follow the instructions on their sites to install ObsPy <https://github.com/obspy/obspy/wiki/Installation-via-Anaconda> and pandas <https://pandas.pydata.org/pandas-docs/stable/getting_started/install.html>_ for your given platform.

Download mttime and install it from source. If you installed Python via conda make sure you activate the environment where ObsPy and pandas are installed.

.. code-block:: bash

Activate environment

conda activate your_environment

Build and install mttime

git clone https://github.com/LLNL/mttime cd mttime pip install .

Finally, if you want to run the tutorials you will need to install Jupyter Notebook <https://jupyter.org/install>_.

Usage

Executing the package from command line will launch the inversion, save and plot the result to file:

.. code-block:: bash

mttime-run mtinv.in

The equivalent in the Python console:

.. code-block:: python

import mttime config = mttime.Configure(path_to_file="mtinv.in") mt = mttime.Inversion(config=config) mt.invert() mt.write()

Resources

• Documentation for mttime <https://mttime.readthedocs.io/en/latest/index.html>_
• A working example <https://github.com/LLNL/mttime/tree/master/examples/notebooks>_

License

mttime is distributed under the terms of LGPL-3.0 license. All new contributions must be made under the LGPL-3.0 license.

SPDX-License-Identifier: LGPL-3.0

LLNL-CODE-814839