Work

An efficient Bayesian Framework for Resolving Spatio-Temporal Variations in Background Seismicity through the ETAS Model

Year: 2026

Type: article

Abstract: The codes implement a Bayesian framework for estimating spatially and temporally varying background seismicity rates within the Epidemic-Type Aftershock Sequence (ETAS) model. The implementation combines a Log-Gaussian Cox Process (LGCP) with the stochastic partial differential equation (SPDE) approach. It includes model estimation, synthetic catalog simulations, and visualization of the inferred background seismicity rate.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23671343

Authors: Rahmani, Sofiane Taki-Eddine, Zöller, Gert, Hainzl, Sebastian

Institutions: University of Potsdam, GFZ Helmholtz Centre for Geosciences

Language: English

Topic: earthquake and tectonic studies

Subfield: Geophysics

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7223648690

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