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Quantitative Scaling of Magnetic Avalanches
- Source :
- Physical Review Letters, Physical Review Letters, American Physical Society, 2016, 117 (8), ⟨10.1103/PhysRevLett.117.087201⟩, Physical Review Letters, 2016, 117 (8), ⟨10.1103/PhysRevLett.117.087201⟩, Repositório Institucional da UFRN, Universidade Federal do Rio Grande do Norte (UFRN), instacron:UFRN, ResearcherID
- Publication Year :
- 2016
- Publisher :
- HAL CCSD, 2016.
-
Abstract
- We provide the first quantitative comparison between Barkhausen-noise experiments and recent predictions from the theory of avalanches for pinned interfaces, both in and beyond mean-field. We study different classes of soft magnetic materials: polycrystals and amorphous samples, characterized by long-range and short-range elasticity, respectively; both for thick and thin samples, i.e. with and without eddy currents. The temporal avalanche shape at fixed size, and observables related to the joint distribution of sizes and durations are analyzed in detail. Both long-range and short-range samples with no eddy currents are fitted extremely well by the theoretical predictions. In particular, the short-range samples provide the first reliable test of the theory beyond mean field. The thick samples show systematic deviations from the scaling theory, providing unambiguous signatures for the presence of eddy currents.<br />v1: 5 pages, 6 figures; Supplemental Materials, 5 pages, 6 figures. v2+v3: updated version as published in PRL. v3: 8 pages, 12 figures. v3 corrects errors induced by a bug in assembling the pdf-files
- Subjects :
- Magnetic domain
FOS: Physical sciences
General Physics and Astronomy
01 natural sciences
010305 fluids & plasmas
law.invention
symbols.namesake
law
0103 physical sciences
Eddy current
[PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]
Elasticity (economics)
[PHYS.COND]Physics [physics]/Condensed Matter [cond-mat]
010306 general physics
Barkhausen effect
Scaling
Magnetic domains
Physics
[PHYS]Physics [physics]
Condensed Matter - Materials Science
Materials Science (cond-mat.mtrl-sci)
Observable
Disordered Systems and Neural Networks (cond-mat.dis-nn)
Condensed Matter - Disordered Systems and Neural Networks
Amorphous solid
Computational physics
Granular avalanches
Mean field theory
symbols
Fluctuations & noise
Subjects
Details
- Language :
- English
- ISSN :
- 00319007 and 10797114
- Database :
- OpenAIRE
- Journal :
- Physical Review Letters, Physical Review Letters, American Physical Society, 2016, 117 (8), ⟨10.1103/PhysRevLett.117.087201⟩, Physical Review Letters, 2016, 117 (8), ⟨10.1103/PhysRevLett.117.087201⟩, Repositório Institucional da UFRN, Universidade Federal do Rio Grande do Norte (UFRN), instacron:UFRN, ResearcherID
- Accession number :
- edsair.doi.dedup.....e842780c41fd369455e14de9dc89a1d8