Double power-law universal scaling function for the distribution of waiting times in labquake catalogs

We postulate that waiting times between avalanches in self-organized critical systems are distributed according to a universal double power-law probability density. This density is defined by two critical exponents and characterizing the distribution of short (∼ − ) and long (∼ − ) waiting times, and a crossover parameter 0 that separates the two behaviors in a sharp shoulder. This crossover parameter depends on the system properties as well as on the observation conditions. It can be used as a scaling factor that transforms the distributions into a universal scaling law as proposed by Per Bak. We use experimental data from labquake catalogs (acoustic emission events) obtained during the uniaxial compression of a number of charcoal samples with different hardnesses and different energy thresholds. To obtain good fits it is essential that the catalogs are long enough to include a representative critical mixture of periods with different avalanche rates. In all the cases studied, individual maximum likelihood analysis allows the exponents and and the crossover parameter 0 to be fitted. This parameter shows a clear dependence with the energy threshold that can be explained from the Gutenberg-Richter law for the avalanche energy distributions. The observed variations of the exponents and fall within the sample-to-sample variability, which suggest that these values could be universal. We estimate mean values =0.9±0.1 and =2.0±0.3 from the full set of recorded experimental data. These values are close to the combination =1, =2, which exhibits a special mathematical cancellation of singularities.

Publication Details

Journal
Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)
Published
2024-12-20
Primary Topic
Earthquake Detection and Analysis
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article
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article

Double power-law universal scaling function for the distribution of waiting times in labquake catalogs

Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)
Earthquake Detection and Analysis
article

Double power-law universal scaling function for the distribution of waiting times in labquake catalogs

article en

Abstract

We postulate that waiting times between avalanches in self-organized critical systems are distributed according to a universal double power-law probability density. This density is defined by two critical exponents and characterizing the distribution of short (∼ − ) and long (∼ − ) waiting times, and a crossover parameter 0 that separates the two behaviors in a sharp shoulder. This crossover parameter depends on the system properties as well as on the observation conditions. It can be used as a scaling factor that transforms the distributions into a universal scaling law as proposed by Per Bak. We use experimental data from labquake catalogs (acoustic emission events) obtained during the uniaxial compression of a number of charcoal samples with different hardnesses and different energy thresholds. To obtain good fits it is essential that the catalogs are long enough to include a representative critical mixture of periods with different avalanche rates. In all the cases studied, individual maximum likelihood analysis allows the exponents and and the crossover parameter 0 to be fitted. This parameter shows a clear dependence with the energy threshold that can be explained from the Gutenberg-Richter law for the avalanche energy distributions. The observed variations of the exponents and fall within the sample-to-sample variability, which suggest that these values could be universal. We estimate mean values =0.9±0.1 and =2.0±0.3 from the full set of recorded experimental data. These values are close to the combination =1, =2, which exhibits a special mathematical cancellation of singularities.

Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)
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Earthquake Detection and Analysis
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Double power-law universal scaling function for the distribution of waiting times in labquake catalogs · Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (2024) | TGRS Research Map | TGRS