Uncertainty quantification in Bayesian earthquake source inversions, HPC ready routines

What's New: The primary visualization tool for Fortran outputs has been completely rewritten from MATLAB to Python 3. Fortran Source Update: Added Input/Output file structure descriptions. About this Software: Routines for evaluating approximate covariance matrices of Green's functions (ACF, AXCF, SACF, SAXCF), designed for uncertainty quantification in Bayesian inversions of earthquake sources (ready for high-performance computing). This Software tool corresponds to the methodology described in https://doi.org/10.1093/gji/ggw320 Environment & Dependencies: Fortran: Validated for Fortran 90 Standard (gfortran and ifort) Python: Validated for Python 3.12, Matplotlib 3.10, NumPy 2.4 MATLAB: Validated for MATLAB R2025b (backwards compatible) Build System: GNU Make required for the Fortran version

Related Organizations

Charles University
Czech Republic

Keywords

Earthquake, Covariance, HPC, High Performance Computing, Bayesian Inference, Earthquake Source, Uncertainty Quantification, Green's Functions, Seismology

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