Roughness of time series in a critical interface model
| dc.creator | de Queiroz, S. L. A. | |
| dc.date | 2005-05-20 | |
| dc.date | 2005-10-30 | |
| dc.date.accessioned | 2026-07-07T06:37:49Z | |
| dc.date.available | 2026-07-07T06:37:49Z | |
| dc.description | 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. | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0505521 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0505521 | |
| dc.identifier | Physical Review E 72, 066104 (2005) | |
| dc.identifier | doi:10.1103/PhysRevE.72.066104 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/100526 | |
| dc.subject | Statistical Mechanics | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.title | Roughness of time series in a critical interface model | |
| dc.type | text |