Roughness of time series in a critical interface model
arXiv:cond-mat/0505521 · doi:10.1103/PhysRevE.72.066104
Abstract
We study roughness probability distribution functions (PDFs) of the time signal for a critical interface model, which is known to provide a good description of Barkhausen noise in soft ferromagnets. Starting with time ``windows'' of data collection much larger than the system's internal ``loading time'' (related to demagnetization effects), we show that the initial Gaussian shape of the PDF evolves into a double-Gaussian structure as window width decreases. We supply a physical explanation for such structure, which is compatible with the observed numerical data. Connections to experiment are suggested.
References in corpus (15)
- Universal Fluctuations in Correlated Systems
- Noise in disordered systems: The power spectrum and dynamic exponents in avalanche models
- 1/f Noise and Extreme Value Statistics
- Interface Depinning in a Disordered Medium - Numerical Results
- Depinning of elastic manifolds
- Width distribution of contact lines on a disordered substrate
- Driving Rate Effects on Crackling Noise
- Roughness distributions for 1/f^alpha signals
- Universal interface width distributions at the depinning threshold
- Finite driving rates in interface models of Barkhausen noise
- Scaling Behavior of Driven Interfaces Above the Depinning Transition
- Dynamic criticality in driven disordered systems: Role of depinning and driving rate in Barkhausen noise
- Domain size effects in Barkhausen noise
- Dimensional crossover and universal roughness distributions in Barkhausen noise
- Search for universal roughness distributions in a critical interface model