English

Wavelet transforms in a critical interface model for Barkhausen noise

Statistical Mechanics 2008-03-03 v2 Disordered Systems and Neural Networks

Abstract

We discuss the application of wavelet transforms to a critical interface model, which is known to provide a good description of Barkhausen noise in soft ferromagnets. The two-dimensional version of the model (one-dimensional interface) is considered, mainly in the adiabatic limit of very slow driving. On length scales shorter than a crossover length (which grows with the strength of surface tension), the effective interface roughness exponent ζ\zeta is 1.20\simeq 1.20, close to the expected value for the universality class of the quenched Edwards-Wilkinson model. We find that the waiting times between avalanches are fully uncorrelated, as the wavelet transform of their autocorrelations scales as white noise. Similarly, detrended size-size correlations give a white-noise wavelet transform. Consideration of finite driving rates, still deep within the intermittent regime, shows the wavelet transform of correlations scaling as 1/f1.51/f^{1.5} for intermediate frequencies. This behavior is ascribed to intra-avalanche correlations.

Cite

@article{arxiv.0706.1574,
  title  = {Wavelet transforms in a critical interface model for Barkhausen noise},
  author = {S. L. A. de Queiroz},
  journal= {arXiv preprint arXiv:0706.1574},
  year   = {2008}
}
R2 v1 2026-06-21T08:37:22.231Z