Crackling noise

By James P. Sethna, Karin A. Dahmen, Christopher R. Myers. Nature, 2001

987 citations recorded by the source corpus.

Crackling noise arises when a system responds to changing external conditions through discrete, impulsive events spanning a broad range of sizes. A wide variety of physical systems exhibiting crackling noise have been studied, from earthquakes on faults to paper crumpling. Because these systems exhibit regular behaviour over a huge range of sizes, their behaviour is likely to be independent of microscopic and macroscopic details, and progress can be made by the use of simple models. The fact that these models and real systems can share the same behaviour on many scales is called universality. We illustrate these ideas by using results for our model of crackling noise in magnets, explaining the use of the renormalization group and scaling collapses, and we highlight some continuing challenges in this still-evolving field.

Subfields: Condensed Matter Physics, Geophysics

View Paper: https://www.semanticscholar.org/paper/1ce1d2deabe5dbcee4030509c33cdad8e1fb736d

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Citations in the corpus

Statistical physics of social dynamics (2007, background): “This can be formally described within the framework of the Random Field Ising Model at zero temperature, which successfully describes hysteresis in random magnets and other physical phenomena, like the occurrence of crackling noise (Sethna et al., 2001).”
Criticality in the brain: A synthesis of neurobiology, models and cognition. (2017, methodology): “ scale-free fluctuations (Figure 1h) and slowing down (i.e., longer autocorrelation, Figure 1i). These large, slow fluctuations are termed crackling noise after the sound they make if played audibly (Sethna et al., 2001). A second variation concerns the nature of the bifurcation itself. The predator”
Micro-plasticity and recent insights from intermittent and small-scale plasticity (2017, background): “35 It is found that a broad range of systems, ranging from magnetism to earthquakes [187], display the above form for a variable which is related to some form of energy release.”
Colloquium: Criticality and dynamical scaling in living systems (2017, background): “Moreover, the mean temporal profile of neuronal avalanches of widely varying durations is quantitatively described by a single universal scaling function (Friedman et al., 2012; Sethna et al., 2001), and scaling relationships between the measured exponents are fulfilled (Friedman et al., 2012).”
Crises and Collective Socio-Economic Phenomena: Simple Models and Challenges (2012, background): “Sethna, Dahmen and Myers (2001) proposed to call “crackling noise” [42].”
Memory formation in matter (2018, background): “Interactions within these systems can give rise to cooperative and even critical phenomena such as avalanches, so that the actual dynamics are usually dramatically different from the Preisach model we have just examined (Sethna et al., 2001).”
Being Critical of Criticality in the Brain (2012, background): “In both theoretical work (Sethna et al., 2001) and in experiments (Papanikolaou et al.”
Critical phenomena in complex networks (2007, methodology): “The random-field model demonstrates a peculiar hysteresis phenomena at T = 0 which may be relevant 40 for understanding out-of-equilibrium phenomena in many complex systems (Sethna et al., 2001).”