NeSSI (Near-Surface Seismic Imaging) aims to provide python modules for the rapid development of seismic inversion codes based on the particle swarm optimization method.

NeSSI is an open-source project licensed under the LGPLv3.

The NeSSI documentation provides informations about:

• How to install the NeSSI package
• Methods and data format:
  • the 2D PSv modeling engine
  • the particle swarm optimization method
  • the SU/CWP format
  • the interfaces with external softwares
• NeSSI's feature descriptions

The NeSSI wiki provides informations about:

• How to contribute
• How to pull issues

Some examples in the form of jupyter notebooks are availables in the nessi.materials repository.

• An example of application using the 2D PSv modeling engine and PSO to invert Rayleigh dispersion diagrams: Pageot et al., Alternative method for surface wave inversion, Congrès Français d'Acoustique, Le Havre, 2018

First, install git on your computer. For exemple on Ubuntu:

sudo apt-get install git

or use the package manager.

You also need gcc/gfortran, numpy, scipy and matplotlib.

Download NeSSI with:

git clone https://github.com/PageotD/nessi.git

In the nessi folder, check for update: git pull

Then, in a terminal, go to the nessi/nessi folder and type:

make

Finally, you have to add the path of the NeSSI package to PYTHONPATH. In your ~/.bashrc file, add:

export PYTHONPATH=$PYTHONPATH:/path/to/the/nessi/package