Janićević Sanja, Laurson Lasse, Måløy Knut Jørgen, Santucci Stéphane, Alava Mikko J
COMP Centre of Excellence, Department of Applied Physics, Aalto University, P.O. Box 11100, 00076 Aalto, Espoo, Finland.
Helsinki Institute of Physics, Department of Applied Physics, Aalto University, P.O. Box 11100, 00076 Aalto, Espoo, Finland.
Phys Rev Lett. 2016 Dec 2;117(23):230601. doi: 10.1103/PhysRevLett.117.230601. Epub 2016 Dec 1.
Numerous systems ranging from deformation of materials to earthquakes exhibit bursty dynamics, which consist of a sequence of events with a broad event size distribution. Very often these events are observed to be temporally correlated or clustered, evidenced by power-law-distributed waiting times separating two consecutive activity bursts. We show how such interevent correlations arise simply because of a finite detection threshold, created by the limited sensitivity of the measurement apparatus, or used to subtract background activity or noise from the activity signal. Data from crack-propagation experiments and numerical simulations of a nonequilibrium crack-line model demonstrate how thresholding leads to correlated bursts of activity by separating the avalanche events into subavalanches. The resulting temporal subavalanche correlations are well described by our general scaling description of thresholding-induced correlations in crackling noise.
从材料变形到地震,许多系统都表现出突发动力学,它由一系列具有广泛事件大小分布的事件组成。通常观察到这些事件在时间上是相关的或成簇的,这由分隔两个连续活动突发的幂律分布等待时间证明。我们展示了这种事件间相关性是如何仅仅由于有限的检测阈值而产生的,该阈值由测量设备的有限灵敏度产生,或者用于从活动信号中减去背景活动或噪声。来自裂纹扩展实验和非平衡裂纹线模型的数值模拟的数据表明,阈值化如何通过将雪崩事件分离为子雪崩而导致相关的活动突发。我们对噼啪声噪声中阈值化诱导相关性的一般标度描述很好地描述了由此产生的时间子雪崩相关性。