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06 October 2024 |
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Article overview
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Effect of thresholding on avalanches and their clustering for interfaces with long-range elasticity | | Juha Savolainen
; Lasse Laurson
; Mikko Alava
; | | Date: |
1 Jun 2022 | | Abstract: | Avalanches are often defined as signals higher than some detection level in
bursty systems. The choice of the detection threshold affects the number of
avalanches, but it can also affect their temporal correlations. We simulated
the depinning of a long-range elastic interface and applied different
thresholds including a zero one on the data to see how the sizes and durations
of events change and how this affects temporal avalanche clustering. Higher
thresholds result in steeper size and duration distributions and cause the
avalanches to cluster temporally. Using methods from seismology, the frequency
of the events in the clusters was found to decrease as a power-law of time, and
the size of an event in a cluster was found to help predict how many events it
is followed by. The results bring closer theoretical studies of this class of
models to real experiments, but also highlight how different phenomena can be
obtained from the same set of data. | | Source: | arXiv, 2206.00275 | | Services: | Forum | Review | PDF | Favorites | |
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