In this paper, a new picking algorithm for the automatic seismogram onset time determination is tested on a dataset of simulated waveforms. We aim at capturing the variations in the performance due to some characteristics of both the seismic event and its detection, which in turn affect some characteristics of the waveforms. We therefore simulate seismic events with different magnitude, and assumed to be detected with different distances from the nearest seismic station. Our tests permit to highlight the scenarios most suitable for our algorithm.

Nicoletta D'Angelo, G.A. (2021). Evaluating the performance of a new picking algorithm based on the variance piecewise constant models. In Book of short papers - SIS 2021 (pp. 1587-1592). Pearson.

Evaluating the performance of a new picking algorithm based on the variance piecewise constant models

Nicoletta D'Angelo
;
Giada Adelfio;Antonino D'Alessandro;Marcello Chiodi
2021-01-01

Abstract

In this paper, a new picking algorithm for the automatic seismogram onset time determination is tested on a dataset of simulated waveforms. We aim at capturing the variations in the performance due to some characteristics of both the seismic event and its detection, which in turn affect some characteristics of the waveforms. We therefore simulate seismic events with different magnitude, and assumed to be detected with different distances from the nearest seismic station. Our tests permit to highlight the scenarios most suitable for our algorithm.
2021
9788891927361
Nicoletta D'Angelo, G.A. (2021). Evaluating the performance of a new picking algorithm based on the variance piecewise constant models. In Book of short papers - SIS 2021 (pp. 1587-1592). Pearson.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/508039
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