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Avalanches, Barkhausen Noise, and Plain Old Criticality
Open accessAbstract
We explain Barkhausen noise in magnetic systems in terms of avalanches of domains near a plain old critical point in the hysteretic zero-temperature random-field Ising model. The avalanche size distribution has a universal scaling function, making nontrivial predictions of the shape of the distribution up to 50% above the critical point, where two decades of scaling are still observed. We simulate systems with up to ${1000}^{3}$ domains, extract critical exponents in 2, 3, 4, and 5 dimensions, compare with our 2D and $6\ensuremath{-}\ensuremath{\epsilon}$ predictions, and compare to a variety of experiments.
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Cited by
Critical phenomena in complex networks
Dorogovtsev, S. N., Goltsev, A. V., & Mendes, J. F. F. (2008) · Reviews of Modern Physics · doi:10.1103/revmodphys.80.1275 · Cited by 2,220
Being Critical of Criticality in the Brain
Beggs, J. M., & Timme, N. (2012) · Frontiers in Physiology · doi:10.3389/fphys.2012.00163 · Cited by 494
Random critical point separates brittle and ductile yielding transitions in amorphous materials
Ozawa, M., Berthier, L., Biroli, G., Rosso, A., & Tarjus, G. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1806156115 · Cited by 298
Metadata
- Authors
- Perković, O., Dahmen, K., & Sethna, J. P.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 1995-12-11
- Volume
- 75
- Issue
- 24
- Pages
- 4528-4531
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2008758186
- Cited by
- 303
- References
- 0
- FWCI
- 4.66
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Avalanches, Barkhausen Noise, and Plain Old Criticality. https://app.cochat.ai/papers/10.1103/physrevlett.75.4528
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- Perković, O., Dahmen, K., & Sethna, J. P. (1995). Avalanches, Barkhausen Noise, and Plain Old Criticality. Physical Review Letters. https://doi.org/10.1103/physrevlett.75.4528
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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