Skip to content


Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?

Latest commit


Git stats


Failed to load latest commit information.
Latest commit message
Commit time


Table of Contents


Full documentation appears in the docs folder.


The Seismic and Radar Toolbox (SeidarT) is a collaboration between researchers at the Universities of Maine and Washington to provide an open source platform for forward modeling mechanical and electromagnetic wave propagation. The major objective of the project is to easily and quickly implement isotropic and anisotropic complex geometries and/or velocity structures to develop prior constraints for - not limited too - investigating, estimating, and imaging englacial ice structure, sub-glacial boundary conditions on the sub-regional scale. Larger problems would require the curvature of the Earth to be taken into consideration, but many glacier seismic and radar experiments do not expand into regional parameter estimation and velocity modeling.

Much of this code has been adopted from the SEISMIC_CPML software provided by Computational Infrastucture for Geophysics (CIG). Further details to the backend numerical code can be found in the References section below.


The dynamical programming language of Python3 is used as a front end to run the more computationally extensive modeling schemes in Fortran. There are a number of ways to install this software depending on your desired level of control over the process. Most users should be fine with the "automatic installation" in the section below.

"Auto" Installation

First, some background:

This method will install SeidarT on most Unix-based systems using a combination of Anaconda and Fortran compilation. It's not necessary to know or do much more than execute a few command line entries. However, it will help to know that the installer will create what's called a "virtual environment" or more specifically an "Anaconda environment". Without getting into details, this conda environment is basically a way to create a virtual Python configuration that will let this software run but not affect your system's Python configuration, which is a fancy way of saying that conda will avoid causing cascading bad effects on your computer. In short: conda is nice because it plays nicely with various systems. Note well that you will have to activate this conda environment whenever you wish to run SeidarT. This is not hard but it is critical. Read on for instructions on how to both install and activate your SeidarT conda environment.

  1. First, make sure you have the proper prerequisites. On Debian/Ubuntu systems, open a Terminal window and do

    sudo apt update
    sudo apt install gcc-9 gfortran git

    or in a Mac OS X Terminal window with Homebrew, copy/paste/enter the following

    brew update
    brew install gcc git

    Note to OS X users: you may have to install Homebrew if you do not have it.

  2. Now, change to the directory where you'd like SeidarT to go, clone it from GitHub, and change into the SeidarT directory created by Git

    cd /path/to/parent/directory
    git clone
    cd SeidarT
  3. Run the auto-installer script and follow the prompts


    This script will first check if Anaconda or Miniconda already exists on your system. It will download and install Miniconda if necessary. It will also add conda to your $PATH, which is to say that it will tell your computer where to look to use the conda software. Then, it will use conda to create a SeidarT environment and install the rest of the requirements into that environment. Finally, it will compile the Fortran code in this repository.

  4. Activate the SeidarT environment (you will have to do this whenever you want to use SeidarT)

    conda activate SeidarT

    Note: you may have to open a new Terminal window for your system to recognize conda as a valid command.

  5. You should now be ready to run SeidarT scripts!

    Remember that whenever you would like to use SeidarT in the future, you will have to activate the SeidarT conda environment first by using the command in step 4.

Manual Installation Instructions

This is the more involved and less sure-fire installation method, probably best left for intermediate level Unix users and up. The following system dependencies are required:

Python3, Fortran95, GCC, pip, git, dos2unix, ghostscript, imageMagick

and additionally, the Python dependencies: numpy, scipy, matplotlib, mplstereonet (optional for viewing fabric distributions).

First, install what you will need to compile the Fortran code. This can be done via apt with

sudo apt update
sudo apt install gcc-10 git dos2unix ghostscript imagemagick python3.8 python3-numpy python3-vtk python3-pip

and with homebrew using the commands

brew update
brew install gcc git dos2unix ghostscript imagemagick numpy vtk python pip

Then, install the rest of the dependencies using pip

pip3 install -U matplotlib scipy pyevtk vtk mplstereonet

Anaconda installation:

conda create -n seidart python=3 pip git ghostscript imagemagick numpy matplotlib scipy pyevtk vtk
conda activate seidart
pip install mplstereonet

To download the software, open a terminal (Ctrl-Alt-t for Ubuntu and Ctrl-Opt-Shift-t for Mac) and change directories

cd /path/to/parent/directory

to where you would like SeidarT to be located then clone the files from github

git clone

This will create a folder named SeidarT that contains all executables and modules. Change directories to the SeidarT folder

cd SeidarT

and run the install file


When the compilation is finished, we can add the folder to the path directory and the python path directory. Currently, this software is supported with bash so append the following lines to the .bashrc if using Ubuntu

export PATH=$PATH:/path/to/SeidarT/bin

export PYTHONPATH=$PYTHONPATH:/path/to/SeidarT/bin

and if Python 2 is the default version create an alias in the .bashrc file by adding the line in the alias section

alias python=python3

Depending on the OS release (El Capitan, High Sierra, Mojave, etc.) and whether you have Anaconda installed appending a path might be different. Anaconda may set aliases so troubleshooting on a Mac can be cumbersome. Before editing the /etc/path, .bash_profile, .profile or .bashrc file it is a good idea to create a backup especially if you are not familiar with either or any of those files. To do this copy the original to a new name. For example,

cp <location/of/path/definitions> <location/of/path/definitions>_original

that way you can always revert back to the working script.

There are a variety of ways to edit the documents but for simplicity change directories to the home folder

cd ~

and input into the command line

sudo nano .bashrc

or either

sudo nano /etc/paths
sudo nano ~/.profile

then scroll down to the bottom of the file and append the path. Save and close (Ctrl-x then Y and enter) the file then check to make sure it is included in the path

echo $PATH