Simulating Earthquake Catalogue
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Nov 10, 2022 - Jupyter Notebook
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aftershocks
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Implements the Modified Omori Law (λ(t)=K(t+c)^-p) to model the decay of aftershock activity following the 2016 Central Italy main shock. Calculates key seismological parameters (p, c, K) using non-linear least squares (scipy.optimize.curve_fit) and provides an R² assessment (R²=0.9531) of the model fit. The analysis focuses on M ≥ 2.0 events.
python seismology pandas curve-fitting scipy time-series-analysis earthquake-modeling omori aftershocks
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Oct 27, 2025 - Python
estimations of aftershock decay rate and potential magnitude using omori's and bath's laws through py
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Nov 25, 2025 - Python
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