GRAVPROCESS is a software to process relative gravity data measured from CG5 and CG6 and to evaluate the associated uncertainties. This code is developed solely using the MATLAB language. This allows the user to perform all processing steps without the need for external programs. Taking advantage of the MATLAB graphics toolbox, the post-processing tool provided in GRAVPROCESS consists in visualization of corrections, results and uncertainties. This software is provided with no warranties and support. Please report any issues to Rodolphe Cattin.

Download : https://github.com/RodolpheCattin/GravProcess.
Contributors : R. Cattin, S. Mazzotti.

Reference : Cattin, R., Mazzotti, S., Baratin, L.M, GravProcess : An easy-to-use MATLAB program to process campaign gravity data and evaluate the associated uncertainties, Computer & Geosciences, 81, 20-27, 2015, PDF .

GEEC is an open-source software dedicated to compute precisely the gravity and gravity gradient due to a mass body. This software uses MATLAB. It is designed to be easily used and accessible for users with no prior knowledge of MATLAB programming language. This software is provided with no warranties and support. Please report any issues to Rodolphe Cattin.

Download : https://github.com/anitasaraswati/GEEC.
Contributors : R. Cattin, A.T. Saraswati.

Reference : Saraswati, A.T., Cattin, R., Mazzotti, S., Cadio, C.,, New analytical solution and associated software for computing full-tensor gravitational field due to irregularly shaped bodiesJ. Geodesy 93(1190/1):1-17, 2019, PDF .

Here, we propose an analytical formulation developed for analyzing fault scarp formation and degradation in loosely consolidated material, including fault slip by earthquake ruptures or by creep, coupled to linear topographic diffusion. This approach uses PYTHON. This software is provided with no warranties and support. Please report any issues to Rodolphe Cattin.

Contributors : R. Cattin, R. Holtmann.

Reference : Holtmann, R., Cattin, R., Simoes, M., Steer, P., Revealing the hidden signature of fault slip history in the morphology of degrading scarps, Nature Scientific Reports, 13:3856, doi : https://doi.org/10.1038/s41598-023-30772-z, 2023, PDF .

PyMERRY is a PYTHON-based code. It provides a postprocessing method to improve the reliability of ERT images. The PyMERRY code can be applied to any 2D resistivity model obtained from ERT inversion software. It computes a coverage mask that defines the domain well constrained by the data and the inversion process. It also evaluates the resistivity uncertainties in the ERT models. This software is provided with no warranties and support. Please report any issues to Rodolphe Cattin.

Download : https://github.com/RodolpheCattin/PyMERRY.
Contributors : M. Gautier, R. Cattin, S. Gautier.

Reference : Gautier, M., Gautier, S., Cattin, R., PyMERRY : A Python solution for an improved interpretation of electrical resistivity tomography images, Geophysics, 89, 1, https://doi.org/10.1190/geo2023-0105.1, 2024.