Giuliana Paradiso
Statistical properties and moment scaling of seismic ground motion signals.
Rel. Lamberto Rondoni, Matteo Colangeli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Matematica, 2026
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Abstract
Earthquakes exhibit well-documented statistical regularities at the catalogue level, such as the Gutenberg-Richter magnitude-frequency relation and the Omori-Utsu aftershock decay, often interpreted as signatures of seismicity as a driven, dissipative system operating far from thermodynamic equilibrium. However, whether comparable signatures such as heavy-tailed distributions, scale invariance, and anomalous diffusion, can be detected directly within individual seismic ground motion recordings, rather than only in catalogue-level statistics, remains an open question. This thesis investigates whether acceleration, velocity, and displacement signals recorded during two seismic events: the 2009 Mw 6.1 L'Aquila earthquake and the 2024 Mw 3.8 Maritime Alps (Queyras) earthquake, display statistical properties compatible with non-equilibrium complex systems, and whether different seismic phases carry distinct and reproducible statistical signatures.
P- and S-wave onset times are estimated independently by two automatic methods: the traditional AR-AIC algorithm, applied within adaptive search windows centred on theoretical arrival times computed from the CRUST1.0 crustal velocity model and hypocentral distances, and the deep-learning picker PhaseNet, pre-trained on the INSTANCE dataset and applied to the full waveform
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