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Related papers: Avalanches, Barkhausen Noise, and Plain Old Critic…

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We report the measurement of multivariable scaling functions for the temporal average shape of Barkhausen noise avalanches, and show that they are consistent with the predictions of simple mean-field theories. We bypass the confounding…

Disordered Systems and Neural Networks · Physics 2011-08-12 Stefanos Papanikolaou , Felipe Bohn , Rubem L. Sommer , Gianfranco Durin , Stefano Zapperi , James P. Sethna

We study the zero temperature random field Ising model as a model for noise and avalanches in hysteretic systems. Tuning the amount of disorder in the system, we find an ordinary critical point with avalanches on all length scales. Using a…

Condensed Matter · Physics 2009-10-28 Karin Dahmen , James P. Sethna

We review the present state of understanding of the Barkhausen effect in soft ferromagnetic materials. Barkhausen noise (BN) is generated by the discontinuous motion of magnetic domains as they interact with impurities and defects. BN is…

Statistical Mechanics · Physics 2009-02-19 Francesca Colaiori

We obtain a general formula for the distribution of sizes of "static avalanches", or shocks, in generic mean-field glasses with replica-symmetry-breaking saddle points. For the Sherrington-Kirkpatrick (SK) spin-glass it yields the density…

Disordered Systems and Neural Networks · Physics 2015-05-19 Pierre Le Doussal , Markus Müller , Kay Jörg Wiese

We discuss the effect of the stationarity on the avalanche statistics of Barkhuasen noise signals. We perform experimental measurements on a Fe$_{85}$B$_{15}$ amorphous ribbon and compare the avalanche distributions measured around the…

Statistical Mechanics · Physics 2009-11-11 Gianfranco Durin , Stefano Zapperi

We present numerical simulations of avalanches and critical phenomena associated with hysteresis loops, modeled using the zero-temperature random-field Ising model. We study the transition between smooth hysteresis loops and loops with a…

Disordered Systems and Neural Networks · Physics 2009-10-31 Olga Perkovic , Karin A. Dahmen , James P. Sethna

The possible existence of self-organized criticality in Barkhausen noise is investigated theoretically through a single interface model, and experimentally from measurements in amorphous magnetostrictive ribbon Metglas 2605TCA under stress.…

Statistical Mechanics · Physics 2009-10-31 M. Bahiana , Belita Koiller , S. L. A. de Queiroz , J. C. Denardin , R. L. Sommer

In this thesis I discuss analytical approaches to disordered systems using field theory. Disordered systems are characterized by a random energy landscape due to heterogeneities, which remains fixed on the time scales of the phenomena…

Disordered Systems and Neural Networks · Physics 2013-12-30 Alexander Dobrinevski

We discuss a model metallic glass in which Barkhausen Noise can be studied in exquisite detail, free of thermal effects and of the rate of ramping of the magnetic field. The mechanism of the jumps in magnetic moment that cause the…

Statistical Mechanics · Physics 2014-01-20 H. George E. Hentschel , Valery Iliyn , Itamar Procaccia , Bhaskar Sen Gupta

This study numerically investigates magnetisation reversal processes driven by an external magnetic field in three-dimensional antiferromagnetic spin models with weak random field disorder. Considering an extremely weak disorder and low…

Disordered Systems and Neural Networks · Physics 2026-03-11 Bosiljka Tadic

We consider the amount of energy dissipated during individual avalanches at the depinning transition of disordered and athermal elastic systems. Analytical progress is possible in the case of the Alessandro-Beatrice-Bertotti-Montorsi (ABBM)…

Statistical Mechanics · Physics 2018-04-20 Reinaldo García-García

Crackling noise is a common feature in many dynamic systems [1-9], the most familiar instance of which is the sound made by a sheet of paper when crumpled into a ball. Although seemingly random, this noise contains fundamental information…

Statistical Mechanics · Physics 2015-06-25 Stefano Zapperi , Claudio Castellano , Francesca Colaiori , Gianfranco Durin

We show that Barkhausen noise in two-dimensional disordered ferromagnets with extended domain walls is characterized by the avalanche size exponent $\tau_s =1.54$ at low disorder. With increasing disorder the characteristic domain size is…

Statistical Mechanics · Physics 2009-10-31 Bosiljka Tadic , Ulrich Nowak

We consider 2D random Ising ferromagnetic models, where quenched disorder is represented either by random local magnetic fields (Random Field Ising Model) or by a random distribution of interaction couplings (Random Bond Ising Model). In…

Disordered Systems and Neural Networks · Physics 2022-02-10 Matteo Metra , Luc Zorrilla , Maurizio Zani , Ezio Puppin , Paolo Biscari

We present a simple model of a dynamical system driven by externally-imposed coherent noise. Although the system never becomes critical in the sense of possessing spatial correlations of arbitrarily long range, it does organize into a…

Condensed Matter · Physics 2009-10-28 M. E. J. Newman , Kim Sneppen

Motivated by recent experiments in neuroscience which indicate that neuronal avalanches exhibit scale invariant behavior similar to self-organized critical systems, we study the role of noisy (non-conservative) local dynamics on the…

Statistical Mechanics · Physics 2014-06-24 S. Amin Moosavi , Afshin Montakhab

In this paper we study a simple model of a purely excitatory neural network that, by construction, operates at a critical point. This model allows us to consider various markers of criticality and illustrate how they should perform in a…

Neurons and Cognition · Quantitative Biology 2013-05-17 Timothy J. Taylor , Caroline Hartley , Péter L. Simon , Istvan Z Kiss , Luc Berthouze

Many systems in Nature exhibit avalanche dynamics with scale-free features. A general scaling theory has been proposed for critical avalanche profiles in crackling noise, predicting the collapse onto a universal avalanche shape, as well as…

Neurons and Cognition · Quantitative Biology 2022-09-14 Manoj K. Nandi , Alessandro Sarracino , Hans J. Herrmann , Lucilla de Arcangelis

The field-driven magnetisation reversal processes in disordered systems exhibit a collective behaviour that is manifested in the scale-invariance of avalanches, closely related to underlying dynamical mechanisms. Using the multifractal time…

Disordered Systems and Neural Networks · Physics 2016-02-09 Bosiljka Tadic

We show that the temporal fluctuations $\Delta H(t)$ of the threshold driving field $H(t)$, which triggers an avalanche in slowly driven disordered ferromagnets with many domains, exhibit long-range correlations in space and time. The…

Statistical Mechanics · Physics 2009-10-31 Bosiljka Tadic