Explore projects

GITpy is a free and open-source software developed in Python to apply the Generalized Inversion Technique (GIT) to a given dataset. The tool allows to derive a suite of region-specific spectral parameters (i.e. source, attenuation, and site parameters), through an inversion scheme to separate the different contributions and applying subsequent modeling tools. GITpy is the result of a collaborative project between scientists from the INGV (Milan, Italy), GFZ (German Research Centre for Geosciences, Germany), UNIGE (University of Genoa, Italy), OGS (National Institute of Oceanography and Applied Geophysics).

Computes long-term probabilities of different volcanic hazard phenomena using the Bayesian Event Tree method

Experimental Data Analysis, Roma3 PhD course

Azure Quickstart Templates

SDQ is a python project aimed to the real time automatic monitoring of the seismic station operation by analysing both selected events with magnitude ≥3.5 and continuous data streams.

Computes the short-term volcanic hazard based on monitoring data using the Bayesian Event Tree method

Python (3) code to define up or down of a signal on different seismic sac formats based on peaks by pandas and some statistics

Some utilities for small geophysical needs...

Tool for removing the astronomical tide from sea level signals. Module and GUI.

FORTRAN 90 version of Cluster2000x (Reasenberg, USGS), with some modifications.

Python library implementing several fault scaling laws (fsl)

Python module supporting the seismic probabilistic tsunami hazard analysis (sptha) computation