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Infrapy

Infrapy is a tool for processing infrasound and seismic array data. It implements a database-centric approach for pipeline continuous near real-time analysis. The pipeline includes analysis at station and network levels (using beam-forming and clustering techniques, respectively) for the detection, association and location of events. The pipeline relies on the interaction of the algorithms with a relational database structure to organize and store waveform data, the parameters for the analysis, and results of both levels of analysis. Our implementation can interact seamlessly with traditional (e.g.: Oracle) and serverless (e.g.: SQLite) relational databases.

Citation

DOI

Authorship

Infrapy was built upon previous similar (InfraMonitor) tools and developed by the LANL Seismoacoustics (LANL-SA) Team.

Documentation

The complete documentation can be found at https://infrapy.readthedocs.io/en/latest/

Operating Systems

Infrapy can currently be installed on machines running newer versions of Linux, Apple OSX, and Windows.

Anaconda

The installation of infrapy currently depends on Anaconda to resolve and download the correct python libraries. So if you don’t currently have anaconda installed on your system, please do that first.

Anaconda can be downloaded from https://www.anaconda.com/distribution/. Either 3.x or 2.x will work since the numbers refer to the Python version of the default environment. Infrapy’s installation will create a new environment and will install the version of Python that it needs into that environment.

Downloading

In a terminal, navigate to a directory that you would like to put infrapy in, then download the repository by either https:

>> git clone  https://github.com/LANL-Seismoacoustics/infrapy.git

or by ssh:

>> git clone git@github.com:LANL-Seismoacoustics/infrapy.git

This will create a folder named infrapy. This will be the base directory for your installation.

Installation

With Anaconda installed and the repository cloned, you can now install infrapy. The command below will create an environment named infrapy_env, install the necessary packages into it, and install infrapy into that environment. Navigate to the base directory of infrapy (there will be a file there named infrapy_env.yml), and run:

>> conda env create -f infrapy_env.yml

If this command executes correctly and finishes without errors, it should print out instructions on how to activate and deactivate the new environment:

To activate the environment, use:

    >> conda activate infrapy_env

To deactivate an active environment, use

    >> conda deactivate

Updating

Infrapy is in continued development. Features are added, bugs are fixed, and documentation is improved fairly continuously. It's good practice to pull the latest updates on a regular basis. To do this in a terminal, simply navigate into the infrapy directory and run:

>> git pull

Occasionally, this will cause errors due to some package dependancies changing. If that happens, try updating your conda environment via the shell script located in the root infrapy directory:

>> update_infrapy.sh

This is equivalent to running the command:

>> conda env update --name infrapy_env --file infrapy_env.yml --prune

which will execute a git pull and the conda update in that order.

Tutorials

A series of Jupyter Notebook tutorials are located in /tutorials. These tutorials can be used to gain familiarity with both Infrapy scripting and command line interfact (CLI).

e1 Compression

The current version of Pisces no longer installs the e1 compression module by default. If you need this (if you don't know what it is, you don't need it), then you can install it on OSX and Linux by activating the infrapy environment and installing it with pip...

>> conda activate infrapy_env
>> pip install e1

At this time, the e1 module is not supported on Windows. Let us know if you really need this, and we can work towards getting that fixed.

Testing

Once the installation is complete, you can test some things by first activating the environment with:

>> conda activate infrapy_env

Then navigate to the /example directory located in the infrapy base directory, and run the test scripts via something like:

>> python test_beamforming.py

If infrapy was successfully installed, all of the test scripts should run and finish without any errors.

Supplemental Data

Some of the example scripts included with infrapy in the /scripts directory depend on some supplemental data. This data can be found at https://github.com/LANL-Seismoacoustics/infrapy-data

Instructions found there will guide you in its installation.

Infraview

We supply a GUI application to help with quick data, beamforming, and location analysis. Once installation is complete, you can activate the infrapy_env and run the GUI with the commands:

>> conda activate infrapy_env
>> infraview

Infraview Waveform Screenshot

Errors/issues

If you have any errors or issues related to the installation or basic functionality, the best way to get them to us is by submitting a new issue in the Issues Tab above.

Questions and problems that might not rise to the level of an Issue can be directed to:

jwebster@lanl.gov (Installation and GUI questions)

pblom@lanl.gov (Algorithms and general science questions)