# SeisMIC [](https://github.com/PeterMakus/SeisMIC/actions/workflows/test_on_push.yml?branch=main) [](https://github.com/PeterMakus/SeisMIC/actions/workflows/deploy_gh_pages.yml) [](https://joinup.ec.europa.eu/collection/eupl/introduction-eupl-licence) [](https://codecov.io/gh/PeterMakus/SeisMIC) [](https://doi.org/10.5880/GFZ.2.4.2022.002)
## Monitoring Velocity Changes using Ambient Seismic Noise
SeisMIC (**Seismological Monitoring using Interferometric Concepts**) is a python software that emerged from the miic library. **SeisMIC** provides functionality to apply some concepts of seismic interferometry to different data of elastic waves. Its main use case is the monitoring of temporal changes in a mediums Green's Function (i.e., monitoring of temporal velocity changes).
**SeisMIC** will handle the whole workflow to create velocity-change time-series including:
+ Downloading raw data
+ Adaptable preprocessing of the waveform data
+ Computating cross- and/or autocorrelations
+ Plotting tools for correlations
+ Database management of ambient seismic noise correlations
+ Adaptable postprocessing of correlations
+ Computation of velocity change (dv/v) time series
+ Postprocessing of dv/v time series
+ Plotting of dv/v time-series
**SeisMIC** handles correlations and data in an [ObsPy](https://github.com/obspy/obspy)-like manner.
## Installation of this package
### Installation from PyPi (pip install)
**SeisMIC** is now deployed on PyPi and can simply be installed using:
```bash
# We recommend installing mpi4py from the conda-forge channel instead of PyPi
conda install -c conda-forge mpi4py
pip install seismic
```
### Installation from Source Code
To obtain the lates features, you can install SeisMIC from its source code, available on GitHub.
**Developers should download the ``dev`` branch**
Download this package via GitHub and install it via bash terminal (the few steps shown below) or using the graphical user interface
```bash
# Download via wget or web-browser
wget https://github.com/PeterMakus/SeisMIC/archive/refs/heads/main.zip
# For developers download the dev branch
wget https://github.com/PeterMakus/SeisMIC/archive/refs/heads/dev.zip
# unzip the package
unzip main.zip # or dev.zip
# Change directory to the same directory that this repo is in (i.e., same directory as setup.py)
cd SeisMIC-main # That's the standard name the folder should have
# Create the conda environment and install dependencies
conda install -c conda-forge mpi4py
conda env create -f environment.yml
# Activate the conda environment
conda activate seismic
# Install the package in editable mode
pip install -e .
```
## Getting started
Access SeisMIC's documentation [here](https://petermakus.github.io/SeisMIC/index.html).
SeisMIC comes with a few tutorials (Jupyter notebooks). You can find those in the `examples/` directory.
## Acknowledging the Use of SeisMIC in your Work
If you should use SeisMIC to create published scientific content please cite [Makus, Peter; Sens-Schönfelder, Christoph (2022): Seismological Monitoring using Interferometric Concepts (SeisMIC). V. 0.1.27. GFZ Data Services. doi: 10.5880/GFZ.2.4.2022.002](https://doi.org/10.5880/GFZ.2.4.2022.002).
## Reporting Bugs / Contact the developers
This version is an early release. If you encounter any issues or unexpected behaviour, please [open an issue](https://github.com/PeterMakus/SeisMIC/issues/new) here on GitHub or [contact the developers](mailto:makus@gfz-potsdam.de).
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"description": "# SeisMIC [](https://github.com/PeterMakus/SeisMIC/actions/workflows/test_on_push.yml?branch=main) [](https://github.com/PeterMakus/SeisMIC/actions/workflows/deploy_gh_pages.yml) [](https://joinup.ec.europa.eu/collection/eupl/introduction-eupl-licence) [](https://codecov.io/gh/PeterMakus/SeisMIC) [](https://doi.org/10.5880/GFZ.2.4.2022.002)\n\n## Monitoring Velocity Changes using Ambient Seismic Noise\nSeisMIC (**Seismological Monitoring using Interferometric Concepts**) is a python software that emerged from the miic library. **SeisMIC** provides functionality to apply some concepts of seismic interferometry to different data of elastic waves. Its main use case is the monitoring of temporal changes in a mediums Green's Function (i.e., monitoring of temporal velocity changes).\n\n**SeisMIC** will handle the whole workflow to create velocity-change time-series including:\n+ Downloading raw data\n+ Adaptable preprocessing of the waveform data\n+ Computating cross- and/or autocorrelations\n+ Plotting tools for correlations\n+ Database management of ambient seismic noise correlations\n+ Adaptable postprocessing of correlations\n+ Computation of velocity change (dv/v) time series\n+ Postprocessing of dv/v time series\n+ Plotting of dv/v time-series\n\n**SeisMIC** handles correlations and data in an [ObsPy](https://github.com/obspy/obspy)-like manner.\n\n## Installation of this package\n\n### Installation from PyPi (pip install)\n**SeisMIC** is now deployed on PyPi and can simply be installed using:\n\n```bash\n# We recommend installing mpi4py from the conda-forge channel instead of PyPi\nconda install -c conda-forge mpi4py\n\npip install seismic\n```\n### Installation from Source Code\nTo obtain the lates features, you can install SeisMIC from its source code, available on GitHub.\n\n**Developers should download the ``dev`` branch**\n\nDownload this package via GitHub and install it via bash terminal (the few steps shown below) or using the graphical user interface\n\n```bash\n# Download via wget or web-browser\nwget https://github.com/PeterMakus/SeisMIC/archive/refs/heads/main.zip\n\n# For developers download the dev branch\nwget https://github.com/PeterMakus/SeisMIC/archive/refs/heads/dev.zip\n\n# unzip the package\nunzip main.zip # or dev.zip\n\n# Change directory to the same directory that this repo is in (i.e., same directory as setup.py)\ncd SeisMIC-main # That's the standard name the folder should have\n\n# Create the conda environment and install dependencies\nconda install -c conda-forge mpi4py\nconda env create -f environment.yml\n\n# Activate the conda environment\nconda activate seismic\n\n# Install the package in editable mode\npip install -e .\n```\n\n## Getting started\nAccess SeisMIC's documentation [here](https://petermakus.github.io/SeisMIC/index.html).\n\nSeisMIC comes with a few tutorials (Jupyter notebooks). You can find those in the `examples/` directory.\n\n## Acknowledging the Use of SeisMIC in your Work\nIf you should use SeisMIC to create published scientific content please cite [Makus, Peter; Sens-Sch\u00f6nfelder, Christoph (2022): Seismological Monitoring using Interferometric Concepts (SeisMIC). V. 0.1.27. GFZ Data Services. doi: 10.5880/GFZ.2.4.2022.002](https://doi.org/10.5880/GFZ.2.4.2022.002).\n\n## Reporting Bugs / Contact the developers\nThis version is an early release. If you encounter any issues or unexpected behaviour, please [open an issue](https://github.com/PeterMakus/SeisMIC/issues/new) here on GitHub or [contact the developers](mailto:makus@gfz-potsdam.de).\n",
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