Colored-noise magnetization dynamics: from weakly to strongly correlated noise

Abstract : Statistical averaging theorems allow us to derive a set of equations for the averaged magnetization dynamics in the presence of colored (non-Markovian) noise. The non-Markovian character of the noise is described by a finite auto-correlation time, τ , that can be identified with the finite response time of the thermal bath to the system of interest. Hitherto, this model was only tested for the case of weakly correlated noise (when τ is equivalent or smaller than the integration timestep). In order to probe its validity for a broader range of auto-correlation times, a non-Markovian integration model, based on the stochastic Landau-Lifshitz-Gilbert equation is presented. Comparisons between the two models are discussed, and these provide evidence that both formalisms remain equivalent, even for strongly correlated noise (i.e. τ much larger than the integration timestep).
Complete list of metadatas

Cited literature [23 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01226833
Contributor : Stam Nicolis <>
Submitted on : Tuesday, November 10, 2015 - 11:33:41 AM
Last modification on : Monday, October 15, 2018 - 4:00:03 PM
Long-term archiving on: Friday, February 12, 2016 - 5:35:49 PM

File

1511.02008.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01226833, version 1
  • ARXIV : 1511.02008

Collections

Citation

Julien Tranchida, Pascal Thibaudeau, Stam Nicolis. Colored-noise magnetization dynamics: from weakly to strongly correlated noise. 13th Joint MMM-Intermag Conference, Jan 2016, San Diego, United States. ⟨hal-01226833⟩

Share

Metrics

Record views

145

Files downloads

119