Intercluster Correlation in Seismicity
Agnes Helmstetter, Didier Sornette
Abstract
Mega et al.(cond-mat/0212529) proposed to use the ``diffusion entropy'' (DE) method to demonstrate that the distribution of time intervals between a large earthquake (the mainshock of a given seismic sequence) and the next one does not obey Poisson statistics. We have performed synthetic tests which show that the DE is unable to detect correlations between clusters, thus negating the claimed possibility of detecting an intercluster correlation. We also show that the LR model, proposed by Mega et al. to reproduce inter-cluster correlation, is insufficient to account for the correlation observed in the data.
Create a lesson
Related papers
Differences among preparatory processes preceding major earthquakes in Kamchatka, 2014-2025, including the MW 8.8 event
Stanislaw Lasocki, Beata Orlecka-Sikora, Mateusz Olszewski
Is Earthquake Replenishment Sufficient for Unbiased b-Value Estimation?
Herbian Hokky Prabowo, Giuseppe Petrillo
Is the Number of Foreshocks Underestimated? The Role of Declustering Symmetry
Herbian Hokky Prabowo, Eugenio Lippiello, Sebastian Hainzl et al.
Escaping Geological Generative Prior Distributions in Bayesian Travel Time Tomography
Pratyay Roy, Xuebin Zhao, Andrew Curtis
Fault-conditioned Seismic Image Generation using Denoising Diffusion Probabilistic Modeling and Neural Style Transfer
Tolulope Agbaje, Nam Pham, Altay Sansal et al.
Quantification of plastic deformation in anorthite using micropillar compression
Sarah Incel, Chunhua Tian, Anja Schreiber et al.