Effect of thresholding on avalanches and their clustering for interfaces with long-range elasticity

Juha Savolainen, Lasse Laurson, Mikko Alava

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
24 Downloads (Pure)

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.

Original languageEnglish
Article number054152
Pages (from-to)1-7
Number of pages7
JournalPhysical Review E
Volume105
Issue number5
DOIs
Publication statusPublished - May 2022
MoE publication typeA1 Journal article-refereed

Fingerprint

Dive into the research topics of 'Effect of thresholding on avalanches and their clustering for interfaces with long-range elasticity'. Together they form a unique fingerprint.

Cite this